{ "$schema": "https://theunsbarnardt.github.io/ai-fdl-kit/api/registry.json", "name": "Feature Definition Language (FDL) Blueprint Registry", "version": "1.0.0", "generated": "2026-04-19T10:47:49.615Z", "total": 748, "base_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints", "categories": { "ui": { "count": 25, "blueprints": [ { "feature": "accessibility", "version": "1.0.0", "description": "WCAG 2.1 AA compliance with keyboard navigation, focus management, ARIA attributes, skip links, screen reader support, contrast enforcement, and reduced motion preferences.\n", "tags": [ "accessibility", "wcag", "aria", "keyboard-navigation", "screen-reader", "focus-management" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/accessibility.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/accessibility.blueprint.yaml" }, { "feature": "accessible-component-library", "version": "1.0.0", "description": "Accessible, composable UI component library built on accessible component primitives with variant system, Tailwind CSS styling, and a multi-style design system", "tags": [ "components", "design-system", "accessible-primitives", "tailwind", "accessibility", "react" ], "aliases": [], "fitness": 77, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/accessible-component-library.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/shadcn-components.blueprint.yaml" }, { "feature": "arbitrary-values", "version": "1.0.0", "description": "Use one-off custom values in utilities without defining them in theme, enabling flexible styling beyond framework constraints", "tags": [ "arbitrary", "dynamic", "custom-values", "escape-hatch" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/arbitrary-values.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/arbitrary-values.blueprint.yaml" }, { "feature": "charts-visualization", "version": "1.0.0", "description": "Chart rendering system with bar, line, pie, donut, area, scatter, time-series, and heatmap types, responsive sizing, tooltips, legends, and real-time updates", "tags": [ "charts", "visualization", "graphs", "data-viz", "responsive", "real-time", "analytics" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/charts-visualization.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/charts-visualization.blueprint.yaml" }, { "feature": "component-registry", "version": "1.0.0", "description": "Pluggable component registration system with config-driven fields, slots, lifecycle hooks, and permissions", "tags": [ "component-system", "registry", "plugin", "visual-editor", "configuration" ], "aliases": [], "fitness": 77, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/component-registry.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/component-registry.blueprint.yaml" }, { "feature": "component-registry-cli", "version": "1.0.0", "description": "CLI tool for initializing projects, adding UI components from registries, managing migrations, and providing MCP server integration for AI assistants", "tags": [ "cli", "component-registry", "code-generation", "developer-tools", "mcp" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/component-registry-cli.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/shadcn-cli.blueprint.yaml" }, { "feature": "dark-mode", "version": "1.0.0", "description": "Theme toggle supporting light, dark, and system-preference modes with CSS custom properties, user preference persistence, smooth transitions, and flash-of-wrong-theme prevention.\n", "tags": [ "dark-mode", "theming", "css-custom-properties", "prefers-color-scheme", "user-preferences", "color-scheme" ], "aliases": [], "fitness": 75, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/dark-mode.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/dark-mode.blueprint.yaml" }, { "feature": "dashboard-analytics", "version": "1.0.0", "description": "Configurable analytics dashboard with widget grid system, KPI cards, charts, date range selection, auto-refresh, and drill-down capabilities", "tags": [ "dashboard", "analytics", "widgets", "kpi", "charts", "grid-layout", "data-visualization", "reporting" ], "aliases": [], "fitness": 87, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/dashboard-analytics.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/dashboard-analytics.blueprint.yaml" }, { "feature": "data-table", "version": "1.0.0", "description": "Sortable, filterable, paginated data table with column management, row selection, inline editing, bulk actions, and CSV export", "tags": [ "table", "data-grid", "sorting", "filtering", "pagination", "inline-editing", "bulk-actions", "export" ], "aliases": [], "fitness": 87, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/data-table.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/data-table.blueprint.yaml" }, { "feature": "drag-drop-editor", "version": "1.0.0", "description": "Drag-and-drop page composition system with nested zones, collision detection, and component reordering", "tags": [ "drag-and-drop", "editor", "composition", "visual-builder", "page-builder" ], "aliases": [], "fitness": 83, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/drag-drop-editor.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/drag-drop-editor.blueprint.yaml" }, { "feature": "ecommerce-store", "version": "1.0.0", "description": "Full online storefront with product catalog, category browsing, attribute filtering, shopping cart, multi-step checkout, payment integration, wishlist, and pricelist support.\n", "tags": [ "ecommerce", "online-store", "shopping-cart", "checkout", "wishlist", "product-comparison" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/ecommerce-store.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/ecommerce-store.blueprint.yaml" }, { "feature": "fleet-performance-dashboard", "version": "1.0.0", "description": "Configurable dashboards with widgets showing fleet KPIs, live driver map, order metrics, and performance analytics", "tags": [ "fleet", "dashboard", "analytics", "KPIs", "metrics", "monitoring", "map" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/fleet-performance-dashboard.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/fleet-performance-dashboard.blueprint.yaml" }, { "feature": "form-builder", "version": "1.0.0", "description": "Dynamic form creation and rendering with drag-and-drop field placement, conditional visibility, multi-step forms, validation rules, and versioning", "tags": [ "forms", "builder", "drag-and-drop", "validation", "dynamic-forms", "multi-step", "conditional-logic" ], "aliases": [], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/form-builder.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/form-builder.blueprint.yaml" }, { "feature": "fuel-analytics", "version": "1.0.0", "description": "Analyse fuel consumption, cost trends, and efficiency metrics across the fleet or per vehicle with configurable grouping periods, anomaly detection, and benchmark comparisons.", "tags": [ "fleet", "fuel", "analytics", "reporting", "efficiency", "cost", "trends" ], "aliases": [], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/fuel-analytics.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/fuel-analytics.blueprint.yaml" }, { "feature": "internationalization", "version": "1.0.0", "description": "Internationalization with locale switching, translation keys, pluralization, and RTL support", "tags": [ "i18n", "localization", "translation", "rtl", "locale", "internationalization", "ui" ], "aliases": [], "fitness": 89, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/internationalization.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/internationalization.blueprint.yaml" }, { "feature": "location-history-map-visualization", "version": "1.0.0", "description": "Interactive map rendering GPS history as points, connected routes (optionally speed-coloured), and a density heatmap with layer toggles and point-position correction.", "tags": [ "map", "location", "gps", "heatmap", "routes", "visualization" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/location-history-map-visualization.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/location-history-map-visualization.blueprint.yaml" }, { "feature": "navigation-menu", "version": "1.0.0", "description": "Hierarchical navigation with sidebar, breadcrumb, mega menu, and mobile support", "tags": [ "navigation", "sidebar", "breadcrumb", "menu", "responsive", "accessibility", "ui" ], "aliases": [], "fitness": 84, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/navigation-menu.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/navigation-menu.blueprint.yaml" }, { "feature": "responsive-layout", "version": "1.0.0", "description": "Design responsive layouts using breakpoint variants to apply different styles at different screen sizes", "tags": [ "responsive", "breakpoints", "mobile-first", "media-queries" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/responsive-layout.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/responsive-layout.blueprint.yaml" }, { "feature": "responsive-viewport", "version": "1.0.0", "description": "Multi-viewport responsive preview with auto-zoom, manual zoom controls, and iframe-based isolated rendering", "tags": [ "viewport", "responsive", "preview", "zoom", "iframe", "responsive-design" ], "aliases": [], "fitness": 76, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/responsive-viewport.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/responsive-viewport.blueprint.yaml" }, { "feature": "self-order-kiosk", "version": "1.0.0", "description": "Customer self-ordering system supporting kiosk terminals and mobile QR-code ordering, with menu browsing, cart management, payment processing, and real-time order status updates.\n", "tags": [ "self-service", "kiosk", "qr-code", "mobile-ordering", "restaurant" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/self-order-kiosk.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/self-order-kiosk.blueprint.yaml" }, { "feature": "theme-configuration", "version": "1.0.0", "description": "Define and customize design tokens (colors, spacing, typography, breakpoints) that power a CSS framework", "tags": [ "design-system", "theming", "customization", "tokens" ], "aliases": [], "fitness": 76, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/theme-configuration.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/theme-configuration.blueprint.yaml" }, { "feature": "toast-notifications", "version": "1.0.0", "description": "Transient toast/snackbar notifications with auto-dismiss, stacking, and accessibility", "tags": [ "toast", "snackbar", "notification", "feedback", "ui", "accessibility" ], "aliases": [], "fitness": 83, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/toast-notifications.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/toast-notifications.blueprint.yaml" }, { "feature": "trip-stay-timeline", "version": "1.0.0", "description": "Chronological feed of day-grouped journeys and place stays with single-expand accordion, companion map synchronisation, and hover highlighting.", "tags": [ "timeline", "trips", "visits", "map", "travel" ], "aliases": [], "fitness": 76, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/trip-stay-timeline.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/trip-stay-timeline.blueprint.yaml" }, { "feature": "utility-composition", "version": "1.0.0", "description": "Build user interfaces by composing utility classes with variants and modifiers to generate CSS rules", "tags": [ "utilities", "variants", "responsive", "state-modifiers" ], "aliases": [], "fitness": 75, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/utility-composition.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/utility-composition.blueprint.yaml" }, { "feature": "wizard-stepper", "version": "1.0.0", "description": "Multi-step form and process wizard with progress indicator, step validation, skip optional steps, save progress, and resume later", "tags": [ "wizard", "stepper", "multi-step", "progress", "form-wizard", "onboarding", "workflow" ], "aliases": [], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ui/wizard-stepper.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ui/wizard-stepper.blueprint.yaml" } ] }, "workflow": { "count": 64, "blueprints": [ { "feature": "account-opening", "version": "1.0.0", "description": "Investment account opening workflow with product selection, risk profiling, terms acceptance, funding instructions, and compliance review", "tags": [ "account-opening", "investment", "product-selection", "risk-profiling", "wealth-management", "financial-services", "kyc" ], "aliases": [], "fitness": 85, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/account-opening.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/account-opening.blueprint.yaml" }, { "feature": "advisor-onboarding", "version": "1.0.0", "description": "Registration and onboarding process for independent financial advisors with CID approval and mandate signing", "tags": [ "advisor-registration", "approval-workflow", "financial-services" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/advisor-onboarding.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/advisor-onboarding.blueprint.yaml" }, { "feature": "approval-chain", "version": "1.0.0", "description": "Multi-level approval workflow with sequential/parallel approvers, delegation, auto-approve rules, timeout escalation, and audit history.\n", "tags": [ "approval", "workflow", "multi-level", "delegation", "escalation", "audit-trail" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/approval-chain.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/approval-chain.blueprint.yaml" }, { "feature": "automation-rules", "version": "1.0.0", "description": "Event-driven automation engine that triggers actions based on record lifecycle events, field changes, time-based schedules, incoming messages, and external webhooks with condition filtering.\n", "tags": [ "automation", "triggers", "event-driven", "scheduled-actions", "webhooks", "workflow-engine" ], "aliases": [], "fitness": 73, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/automation-rules.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/automation-rules.blueprint.yaml" }, { "feature": "bulk-operations", "version": "1.0.0", "description": "Batch update, delete, and export operations for large record sets with progress tracking, atomic or best-effort execution, and error logging.\n", "tags": [ "bulk", "batch-processing", "mass-update", "mass-delete", "data-export", "background-jobs", "progress-tracking" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/bulk-operations.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/bulk-operations.blueprint.yaml" }, { "feature": "client-onboarding", "version": "1.0.0", "description": "Multi-step process for new clients to complete personal, contact, address, and employment details before account opening", "tags": [ "onboarding", "client-acquisition", "financial-services" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/client-onboarding.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/client-onboarding.blueprint.yaml" }, { "feature": "cost-based-route-optimization", "version": "1.0.0", "description": "Configure per-vehicle cost models (fixed, per-hour travel, per-kilometre, per-task-hour) and minimize total fleet cost as the secondary objective after maximising task assignment.", "tags": [ "cost-optimization", "fuel-cost", "route-costing", "fleet-economics", "tco" ], "aliases": [], "fitness": 65, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/cost-based-route-optimization.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/cost-based-route-optimization.blueprint.yaml" }, { "feature": "customer-app-flow", "version": "1.0.0", "description": "Customer (rider)-facing flow for requesting, tracking, and canceling rides through the public API.", "tags": [ "customer", "rider", "booking", "tracking", "cancellation" ], "aliases": [], "fitness": 71, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/customer-app-flow.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/customer-app-flow.blueprint.yaml" }, { "feature": "dispatch-driver-assignment", "version": "1.0.0", "description": "Assign drivers and vehicles to orders, manage dispatch queue, and handle driver acceptance or rejection", "tags": [ "fleet", "dispatch", "driver", "vehicle", "assignment" ], "aliases": [], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/dispatch-driver-assignment.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/dispatch-driver-assignment.blueprint.yaml" }, { "feature": "distance-matrix-calculation", "version": "1.0.0", "description": "Build a travel-time and distance matrix between all locations by querying a routing engine or accepting pre-supplied matrices. Underpins all cost evaluations and ETA calculations.", "tags": [ "distance-matrix", "travel-time", "routing-engine", "matrix-computation" ], "aliases": [], "fitness": 72, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/distance-matrix-calculation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/distance-matrix-calculation.blueprint.yaml" }, { "feature": "driver-app-flow", "version": "1.0.0", "description": "Driver mobile app interactions — authentication, order accept/reject, activity updates, and trip completion through the public API.", "tags": [ "driver", "mobile", "accept-reject", "authentication", "activity" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/driver-app-flow.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/driver-app-flow.blueprint.yaml" }, { "feature": "driver-assignment-dispatch", "version": "1.0.0", "description": "Assign a driver to an order and dispatch the order to that driver, supporting both manual assignment and proximity-based adhoc dispatch.", "tags": [ "dispatch", "driver-assignment", "adhoc", "fleet-ops" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/driver-assignment-dispatch.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/driver-assignment-dispatch.blueprint.yaml" }, { "feature": "driver-profile", "version": "1.0.0", "description": "Manage driver profiles, license information, availability status, and hours-of-service compliance", "tags": [ "fleet", "driver", "license", "hos", "availability", "compliance" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/driver-profile.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/driver-profile.blueprint.yaml" }, { "feature": "driver-shift-break-constraints", "version": "1.0.0", "description": "Enforce driver working-hours limits and mandatory rest breaks within routes. Each vehicle has a shift time window and breaks with their own time windows and durations.", "tags": [ "driver-hours", "breaks", "compliance", "shift-scheduling" ], "aliases": [], "fitness": 71, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/driver-shift-break-constraints.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/driver-shift-break-constraints.blueprint.yaml" }, { "feature": "driver-shift-management", "version": "1.0.0", "description": "Manage driver availability through online/offline status toggling, controlling whether a driver appears as available for order dispatch and location tracking.", "tags": [ "driver", "shift", "availability", "online-offline", "dispatch-eligibility" ], "aliases": [], "fitness": 62, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/driver-shift-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/driver-shift-management.blueprint.yaml" }, { "feature": "driver-shift-scheduling", "version": "1.0.0", "description": "Schedule and manage driver work shifts, availability windows, and hours-of-service compliance", "tags": [ "fleet", "driver", "shifts", "scheduling", "availability", "hos", "compliance" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/driver-shift-scheduling.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/driver-shift-scheduling.blueprint.yaml" }, { "feature": "driver-vehicle-assignment", "version": "1.0.0", "description": "Assign drivers to fleet vehicles for defined periods, maintain a full assignment history, and enforce constraints preventing double-assignment and unauthorised transfers.", "tags": [ "fleet", "vehicle", "driver", "assignment", "history", "scheduling" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/driver-vehicle-assignment.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/driver-vehicle-assignment.blueprint.yaml" }, { "feature": "expense-approval-workflow", "version": "1.0.0", "description": "Employee expense submission and approval workflow with multi-level authorization, reimbursement tracking, accounting journal entry generation, and payment processing.\n", "tags": [ "expenses", "approval-workflow", "reimbursement", "employee-expenses", "accounting-integration" ], "aliases": [], "fitness": 77, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/expense-approval-workflow.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/odoo-expense-approval.blueprint.yaml" }, { "feature": "field-incident-reporting", "version": "1.0.0", "description": "Allow drivers and fleet staff to report field issues and incidents against vehicles, orders, or locations", "tags": [ "fleet", "incident", "issue", "reporting", "field", "safety" ], "aliases": [], "fitness": 73, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.9, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/field-incident-reporting.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/field-incident-reporting.blueprint.yaml" }, { "feature": "fleet-scheduled-reports", "version": "1.0.0", "description": "Generate, schedule, and distribute fleet tracking reports covering trips, stops, route history, events, geofence activity, device summaries, and fuel consumption, with on-demand and automated perio...", "tags": [ "gps", "tracking", "reports", "fleet", "schedule", "export", "trips", "stops" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/fleet-scheduled-reports.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/fleet-scheduled-reports.blueprint.yaml" }, { "feature": "fuel-log", "version": "1.0.0", "description": "Record fuel fill-up events for fleet vehicles capturing date, odometer, quantity, cost, and station details; each entry updates the vehicle's last known odometer.", "tags": [ "fleet", "vehicle", "fuel", "odometer", "cost", "log" ], "aliases": [], "fitness": 75, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/fuel-log.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/fuel-log.blueprint.yaml" }, { "feature": "ifa-portal", "version": "1.0.0", "description": "Independent Financial Advisor portal for client management, onboarding assistance, client-view impersonation, messaging, product suggestions, and lead referral handling", "tags": [ "ifa", "advisor", "client-management", "financial-services", "wealth-management", "lead-referral", "messaging" ], "aliases": [], "fitness": 85, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/ifa-portal.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/ifa-portal.blueprint.yaml" }, { "feature": "lua-scripting", "version": "1.0.0", "description": "Server-side Lua script execution providing atomic operations, programmatic logic, and access to all Redis commands within a single round-trip", "tags": [ "lua-scripting", "server-side-execution", "atomic-operations", "stored-procedures" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/lua-scripting.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/lua-scripting.blueprint.yaml" }, { "feature": "maintenance-reminders", "version": "1.0.0", "description": "Define maintenance tasks that trigger notifications when a tracked vehicle crosses a configured odometer, engine hours, or time threshold, with automatic repeat reminders at regular intervals for o...", "tags": [ "gps", "tracking", "maintenance", "odometer", "service", "reminder", "fleet" ], "aliases": [], "fitness": 64, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/maintenance-reminders.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/maintenance-reminders.blueprint.yaml" }, { "feature": "multi-exec-transactions", "version": "1.0.0", "description": "Atomic multi-command execution with optional optimistic locking via WATCH; commands queued and executed sequentially without interruption", "tags": [ "transactions", "atomic-operations", "optimistic-locking", "rollback", "isolation" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.9, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/multi-exec-transactions.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/multi-exec-transactions.blueprint.yaml" }, { "feature": "multi-vehicle-route-optimization", "version": "1.0.0", "description": "Distribute tasks across a heterogeneous fleet, building one ordered route per vehicle that collectively covers all assignable tasks while minimising total fleet cost.", "tags": [ "fleet-management", "route-optimization", "multi-vehicle", "logistics" ], "aliases": [], "fitness": 65, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/multi-vehicle-route-optimization.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/multi-vehicle-route-optimization.blueprint.yaml" }, { "feature": "odometer-tracking-workflow", "version": "1.0.0", "description": "Maintain a complete, validated history of odometer readings for each vehicle, detecting rollbacks and anomalous jumps, with an approval workflow for corrections.", "tags": [ "fleet", "vehicle", "odometer", "history", "validation", "mileage" ], "aliases": [], "fitness": 76, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/odometer-tracking-workflow.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/odometer-tracking.blueprint.yaml" }, { "feature": "order-lifecycle", "version": "1.0.0", "description": "End-to-end delivery order lifecycle management from creation through completion or cancellation", "tags": [ "fleet", "delivery", "order", "logistics", "dispatch" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.9, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/order-lifecycle.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/order-lifecycle.blueprint.yaml" }, { "feature": "order-sla-eta", "version": "1.0.0", "description": "Track estimated time of arrival and service level agreement compliance per delivery order", "tags": [ "fleet", "sla", "eta", "delivery", "time", "compliance", "tracking" ], "aliases": [], "fitness": 71, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/order-sla-eta.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/order-sla-eta.blueprint.yaml" }, { "feature": "order-trip-state-machine", "version": "1.0.0", "description": "Configurable state machine that controls how an order advances through its activity flow, with support for custom order types, waypoint-level states, and proof-of-delivery gates.", "tags": [ "state-machine", "order-flow", "activity", "waypoints", "configurable" ], "aliases": [], "fitness": 73, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/order-trip-state-machine.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/order-trip-state-machine.blueprint.yaml" }, { "feature": "payload-job-queue", "version": "1.0.0", "description": "Built-in job queue with tasks, workflows, cron scheduling, retry with backoff, concurrency control, and sub-task orchestration", "tags": [ "cms", "jobs", "queue", "tasks", "workflows", "cron", "retry", "concurrency", "scheduling", "payload" ], "aliases": [], "fitness": 73, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/payload-job-queue.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/payload-job-queue.blueprint.yaml" }, { "feature": "pickup-delivery-pairing", "version": "1.0.0", "description": "Link a pickup and delivery stop as a paired shipment served by the same vehicle with pickup before delivery. Supports multidimensional load amounts and independent time windows per stop.", "tags": [ "pickup-delivery", "pdp", "shipments", "paired-stops", "precedence" ], "aliases": [], "fitness": 72, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/pickup-delivery-pairing.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/pickup-delivery-pairing.blueprint.yaml" }, { "feature": "priority-urgency-weighting", "version": "1.0.0", "description": "Assign an integer priority weight (0-100) to tasks so the optimizer preferentially assigns high-priority tasks first. Priority maximisation takes lexicographic precedence over cost minimisation.", "tags": [ "priority", "urgency", "task-ranking", "service-level", "sla" ], "aliases": [], "fitness": 66, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/priority-urgency-weighting.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/priority-urgency-weighting.blueprint.yaml" }, { "feature": "proof-of-delivery-workflow", "version": "1.0.0", "description": "Capture digital proof of delivery including signature, photo, and notes at delivery completion", "tags": [ "fleet", "pod", "delivery", "signature", "photo", "confirmation" ], "aliases": [], "fitness": 77, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/proof-of-delivery-workflow.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/proof-of-delivery.blueprint.yaml" }, { "feature": "purchase-agreements", "version": "1.0.0", "description": "Purchase agreement management supporting blanket orders and calls for tender with vendor selection, purchase order generation, and supplier catalog synchronization.\n", "tags": [ "procurement", "blanket-order", "call-for-tender", "vendor-management", "purchasing" ], "aliases": [], "fitness": 77, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/purchase-agreements.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/purchase-agreements.blueprint.yaml" }, { "feature": "purchase-order-lifecycle", "version": "1.0.0", "description": "Purchase order lifecycle from draft through receipt and billing to completion, with supplier validation, material request tracking, warehouse bin updates, and over-receipt tolerance enforcement.\n", "tags": [ "purchasing", "procurement", "order-management", "goods-receipt", "billing", "material-request" ], "aliases": [], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/purchase-order-lifecycle.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/purchase-order-lifecycle.blueprint.yaml" }, { "feature": "quotation-order-management", "version": "1.0.0", "description": "Sales quotation-to-order lifecycle including quote creation, PDF generation, portal sharing, digital signature, prepayment, order confirmation, and invoicing.\n", "tags": [ "sales", "quotation", "order-management", "invoicing", "pdf-builder" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/quotation-order-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/quotation-order-management.blueprint.yaml" }, { "feature": "report-generation", "version": "1.0.0", "description": "Scheduled and on-demand report generation with PDF, Excel, and CSV output, background processing, caching, email delivery, and cron scheduling.\n", "tags": [ "reports", "pdf", "excel", "csv", "scheduled-jobs", "data-export", "background-processing" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/report-generation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/report-generation.blueprint.yaml" }, { "feature": "ride-request-lifecycle", "version": "1.0.0", "description": "End-to-end lifecycle of a ride request from creation through dispatch, pickup, and completion or cancellation.", "tags": [ "ride-hailing", "order", "lifecycle", "dispatch", "pickup", "completion" ], "aliases": [], "fitness": 77, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/ride-request-lifecycle.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/ride-request-lifecycle.blueprint.yaml" }, { "feature": "route-planning", "version": "1.0.0", "description": "Plan multi-stop delivery routes with ordered waypoints, route optimization, and distance/time estimation", "tags": [ "fleet", "route", "waypoints", "stops", "navigation", "optimization" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/route-planning.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/route-planning.blueprint.yaml" }, { "feature": "routing-profile-selection", "version": "1.0.0", "description": "Associate each vehicle with a named routing profile (car, truck, hgv, bike) so travel time and distance matrices use road network rules appropriate for that vehicle class.", "tags": [ "routing-profile", "hgv", "truck-routing", "road-restrictions" ], "aliases": [], "fitness": 70, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/routing-profile-selection.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/routing-profile-selection.blueprint.yaml" }, { "feature": "sales-order-lifecycle", "version": "1.0.0", "description": "Sales order lifecycle from draft through delivery and billing to completion, with credit limits, blanket orders, stock reservation, and auto-status.\n", "tags": [ "sales", "order-management", "delivery", "billing", "credit-limit", "stock-reservation" ], "aliases": [], "fitness": 82, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/sales-order-lifecycle.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/sales-order-lifecycle.blueprint.yaml" }, { "feature": "scheduled-maintenance", "version": "1.0.0", "description": "Define recurring maintenance schedules for vehicles based on calendar intervals or odometer milestones, track due dates, trigger work orders, and record completion to advance the schedule.", "tags": [ "fleet", "vehicle", "maintenance", "scheduling", "reminders", "odometer", "preventive" ], "aliases": [], "fitness": 72, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/scheduled-maintenance.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/scheduled-maintenance.blueprint.yaml" }, { "feature": "scheduling-calendar", "version": "1.0.0", "description": "Calendar event management with bookings, availability tracking, recurring events (RRULE), conflict detection, timezone-aware storage, and configurable time slot granularity.\n", "tags": [ "calendar", "scheduling", "events", "bookings", "availability", "recurring", "timezone" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/scheduling-calendar.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/scheduling-calendar.blueprint.yaml" }, { "feature": "service-area-management", "version": "1.0.0", "description": "Define and manage geographic service areas and zones that control where fleet operations are permitted", "tags": [ "fleet", "geofence", "service-area", "zones", "geography", "operational" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/service-area-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/service-area-management.blueprint.yaml" }, { "feature": "skill-based-assignment", "version": "1.0.0", "description": "Restrict which vehicles may serve which tasks by tagging each task with required skills and each vehicle with held skills. A vehicle may only serve a task if it holds every required skill.", "tags": [ "skill-matching", "driver-competency", "task-qualification", "workforce-management" ], "aliases": [], "fitness": 66, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/skill-based-assignment.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/skill-based-assignment.blueprint.yaml" }, { "feature": "state-machine", "version": "1.0.0", "description": "Generic state machine engine with named states, guarded transitions, entry/exit actions, history tracking, and lifecycle validation rules.\n", "tags": [ "state-machine", "finite-automaton", "workflow-engine", "lifecycle-management", "transitions", "event-driven" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/state-machine.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/state-machine.blueprint.yaml" }, { "feature": "stop-detection", "version": "1.0.0", "description": "Detect and record periods when a vehicle is stationary, capturing stop location, start time, end time, and duration, to support idle time analysis, delivery dwell time reporting, and route compliance.", "tags": [ "gps", "tracking", "stop", "idle", "dwell", "fleet", "report" ], "aliases": [], "fitness": 66, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/stop-detection.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/stop-detection.blueprint.yaml" }, { "feature": "stop-eta-calculation", "version": "1.0.0", "description": "Compute estimated arrival time and cumulative metrics for every route step (jobs, breaks, depots). Supports automatic ETA during solving and ETA-selection for provided route plans.", "tags": [ "eta", "arrival-time", "route-timing", "plan-mode" ], "aliases": [], "fitness": 67, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/stop-eta-calculation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/stop-eta-calculation.blueprint.yaml" }, { "feature": "support-tickets-sla", "version": "1.0.0", "description": "Support ticket management with SLA tracking, priority-based response/resolution deadlines, working hours calculation with holiday exclusions, and warranty claim handling.\n", "tags": [ "support", "tickets", "sla", "issue-tracking", "warranty", "customer-service", "helpdesk" ], "aliases": [], "fitness": 75, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/support-tickets-sla.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/support-tickets-sla.blueprint.yaml" }, { "feature": "task-management", "version": "1.0.0", "description": "Task lifecycle management with kanban board, subtask hierarchies, dependency tracking, priority-based scheduling, and workload balancing across assignees.\n", "tags": [ "tasks", "kanban", "project-management", "subtasks", "dependencies", "workload" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/task-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/task-management.blueprint.yaml" }, { "feature": "time-window-constraints", "version": "1.0.0", "description": "Restrict when tasks may be serviced by associating time windows with jobs and vehicles. Optimizer schedules service within valid windows, inserting waiting time where necessary.", "tags": [ "time-windows", "scheduling", "delivery-windows", "vrptw" ], "aliases": [], "fitness": 72, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/time-window-constraints.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/time-window-constraints.blueprint.yaml" }, { "feature": "trip-detection", "version": "1.0.0", "description": "Automatically detect the start and end of vehicle trips by monitoring movement patterns across consecutive position records, applying configurable distance and duration thresholds to filter noise, ...", "tags": [ "gps", "tracking", "trip", "motion", "fleet", "report", "segmentation" ], "aliases": [], "fitness": 70, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/trip-detection.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/trip-detection.blueprint.yaml" }, { "feature": "tyre-lifecycle", "version": "1.0.0", "description": "Track tyre fitment, rotation, tread depth assessments, and replacement across the fleet with a per-position history and automated low-tread warnings.", "tags": [ "fleet", "vehicle", "tyre", "lifecycle", "maintenance", "safety" ], "aliases": [], "fitness": 75, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/tyre-lifecycle.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/tyre-lifecycle.blueprint.yaml" }, { "feature": "vehicle-capacity-constraints", "version": "1.0.0", "description": "Model multidimensional load limits (weight, volume, items) for vehicles and ensure cumulative load never exceeds capacity at any point in the route.", "tags": [ "capacity-planning", "load-management", "cvrp", "logistics" ], "aliases": [], "fitness": 65, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/vehicle-capacity-constraints.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/vehicle-capacity-constraints.blueprint.yaml" }, { "feature": "vehicle-checkout", "version": "1.0.0", "description": "Manage vehicle check-out and check-in workflows including condition verification, mileage tracking, and responsibility handoff", "tags": [ "fleet", "vehicle", "checkout", "checkin", "handoff", "mileage", "inspection" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/vehicle-checkout.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/vehicle-checkout.blueprint.yaml" }, { "feature": "vehicle-disposal", "version": "1.0.0", "description": "Manage end-of-life decommissioning of fleet vehicles through inspection, management approval, method selection (sale, auction, scrap, trade-in), disposal value recording, and final asset closure.", "tags": [ "fleet", "vehicle", "disposal", "decommissioning", "scrap", "sale", "finance" ], "aliases": [], "fitness": 73, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/vehicle-disposal.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/vehicle-disposal.blueprint.yaml" }, { "feature": "vehicle-documents", "version": "1.0.0", "description": "Store, categorise, and manage fleet vehicle documents — permits, roadworthiness certificates, registration papers, inspection reports, photos — with expiry tracking and renewal reminders.", "tags": [ "fleet", "vehicle", "documents", "permits", "compliance", "certificates", "files" ], "aliases": [], "fitness": 75, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/vehicle-documents.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/vehicle-documents.blueprint.yaml" }, { "feature": "vehicle-expense-tracking", "version": "1.0.0", "description": "Record and categorise all costs attributable to individual fleet vehicles — fuel, maintenance, insurance, tolls, fines, and depreciation — and generate per-vehicle cost reports with budget variance.", "tags": [ "fleet", "vehicle", "expenses", "cost", "reporting", "budget", "finance" ], "aliases": [], "fitness": 72, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/vehicle-expense-tracking.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/vehicle-expense-tracking.blueprint.yaml" }, { "feature": "vehicle-fleet-registry", "version": "1.0.0", "description": "Register and manage fleet vehicles, track availability, maintenance status, and telematics data", "tags": [ "fleet", "vehicle", "registry", "telematics", "maintenance", "VIN" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.9, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/vehicle-fleet-registry.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/vehicle-fleet-registry.blueprint.yaml" }, { "feature": "vehicle-incident-log", "version": "1.0.0", "description": "Record vehicle accidents, breakdowns, and operational incidents with damage assessment, third-party details, injury reporting, police report linkage, and insurance claim lifecycle management.", "tags": [ "fleet", "vehicle", "accident", "incident", "insurance", "claim", "safety" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/vehicle-incident-log.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/vehicle-incident-log.blueprint.yaml" }, { "feature": "vehicle-maintenance-log", "version": "1.0.0", "description": "Record completed maintenance and service events for a vehicle including work performed, parts consumed, labour cost, technician details, and the next scheduled service.", "tags": [ "fleet", "vehicle", "maintenance", "service", "history", "log" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/vehicle-maintenance-log.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/vehicle-maintenance-log.blueprint.yaml" }, { "feature": "vrp-solving", "version": "1.0.0", "description": "Solve a vehicle routing problem given jobs and vehicles, returning optimised routes that minimise total cost while satisfying all constraints.", "tags": [ "route-optimization", "vrp", "logistics", "scheduling" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/vrp-solving.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/vrp-solving.blueprint.yaml" }, { "feature": "workshop-directory", "version": "1.0.0", "description": "Maintain a registry of approved external workshops and service providers for fleet maintenance, including contact details, service specialisations, pricing, performance ratings, and contract status.", "tags": [ "fleet", "vehicle", "workshop", "service-provider", "maintenance", "directory" ], "aliases": [], "fitness": 70, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/workflow/workshop-directory.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/workflow/workshop-directory.blueprint.yaml" } ] }, "testing": { "count": 2, "blueprints": [ { "feature": "sandbox-environment", "version": "1.0.0", "description": "Parallel PGW environment with full data isolation — merchants/terminals can be flipped to sandbox for demos and integration testing without moving real money; provisioned per merchant at enrolment", "tags": [ "sandbox", "testing", "isolation", "provisioning", "demo", "mock" ], "aliases": [ "sandbox", "pgw-sandbox", "test-environment" ], "fitness": 67, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/testing/sandbox-environment.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/testing/sandbox-environment.blueprint.yaml" }, { "feature": "sandbox-rail-adapter", "version": "1.0.0", "description": "Contract-compatible mock RailAdapter — scripted success/decline/timeout/rate-limit scenarios, realistic latency profiles, webhook callbacks that mirror real rails (pacs.002, PaymentStatusReport); d...", "tags": [ "sandbox", "rail", "adapter", "mock", "scenarios", "webhooks", "deterministic" ], "aliases": [ "mock-rail", "sandbox-rail", "test-rail-adapter" ], "fitness": 72, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/testing/sandbox-rail-adapter.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/testing/sandbox-rail-adapter.blueprint.yaml" } ] }, "security": { "count": 8, "blueprints": [ { "feature": "ai-response-harm-scorer", "version": "1.0.0", "description": "Evaluate AI model responses for harm or policy violation using a pluggable scorer — binary, float-scale, LLM-as-judge, or human review. Results are stored for audit.", "tags": [ "llm", "scorer", "harm-detection", "ai-safety", "red-team", "judge", "evaluation" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/security/ai-response-harm-scorer.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/security/ai-response-harm-scorer.blueprint.yaml" }, { "feature": "llm-attack-probe-library", "version": "1.0.0", "description": "Registry of modular attack probes for testing AI model vulnerabilities — each probe targets a category (jailbreak, prompt injection, data leakage, toxicity) and pairs with a detector.", "tags": [ "llm", "probe", "jailbreak", "prompt-injection", "toxicity", "data-leakage", "ai-safety", "red-team" ], "aliases": [], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/security/llm-attack-probe-library.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/security/llm-attack-probe-library.blueprint.yaml" }, { "feature": "llm-vulnerability-scan", "version": "1.0.0", "description": "Orchestrate end-to-end vulnerability scanning of an AI model — run attack probes, collect responses, detect failures, and emit a structured report.", "tags": [ "llm", "red-team", "security-scan", "probe", "detector", "evaluator", "ai-safety" ], "aliases": [], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/security/llm-vulnerability-scan.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/security/llm-vulnerability-scan.blueprint.yaml" }, { "feature": "multi-turn-attack-orchestration", "version": "1.0.0", "description": "Orchestrate automated multi-turn adversarial conversations that incrementally steer an AI model toward a harmful objective using crescendo, TAP, or red-team-LLM strategies.", "tags": [ "llm", "multi-turn", "crescendo", "tap", "red-team", "jailbreak", "orchestration", "ai-safety" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.9, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/security/multi-turn-attack-orchestration.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/security/multi-turn-attack-orchestration.blueprint.yaml" }, { "feature": "prompt-attack-augmentation", "version": "1.0.0", "description": "Post-process probe attempts with obfuscation transforms (encoding, rephrasing, suffix injection) before submission so attacks bypass surface-level safety filters.", "tags": [ "llm", "augmentation", "obfuscation", "encoding", "jailbreak", "bypass", "red-team" ], "aliases": [], "fitness": 71, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/security/prompt-attack-augmentation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/security/prompt-attack-augmentation.blueprint.yaml" }, { "feature": "prompt-obfuscation-pipeline", "version": "1.0.0", "description": "Chain converters to transform a prompt into an obfuscated form designed to bypass AI safety filters — supports encoding, character substitution, language translation, and 40+ transforms.", "tags": [ "llm", "prompt-converter", "obfuscation", "jailbreak", "encoding", "red-team", "ai-safety" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/security/prompt-obfuscation-pipeline.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/security/prompt-obfuscation-pipeline.blueprint.yaml" }, { "feature": "redteam-conversation-memory", "version": "1.0.0", "description": "Persist all red-team prompts, model responses, scores, and attack metadata to a queryable store — enables session replay, cross-run analysis, and compliance reporting.", "tags": [ "llm", "memory", "audit-trail", "red-team", "conversation", "persistence", "compliance" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/security/redteam-conversation-memory.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/security/redteam-conversation-memory.blueprint.yaml" }, { "feature": "security-scan-report", "version": "1.0.0", "description": "Generate, persist, and export a structured AI vulnerability scan report with per-probe pass rates, confidence intervals, attempt-level detail, and AVID-compatible export.", "tags": [ "llm", "report", "scan-results", "avid", "confidence-interval", "ai-safety", "compliance" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/security/security-scan-report.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/security/security-scan-report.blueprint.yaml" } ] }, "quality": { "count": 3, "blueprints": [ { "feature": "maintenance-scheduling", "version": "1.0.0", "description": "Maintenance scheduling and visit management with auto-generated visit dates, holiday avoidance, calendar events, and warranty status tracking for customer equipment.\n", "tags": [ "maintenance-schedule", "maintenance-visit", "preventive-maintenance", "warranty", "calendar-events", "field-service" ], "aliases": [], "fitness": 76, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/quality/maintenance-scheduling.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/quality/maintenance-scheduling.blueprint.yaml" }, { "feature": "quality-inspection", "version": "1.0.0", "description": "Quality inspection for incoming, outgoing, and in-process materials with numeric range checks, formula-based acceptance criteria, and template-driven reading parameters.\n", "tags": [ "quality-inspection", "incoming-inspection", "outgoing-inspection", "quality-control", "acceptance-criteria", "manufacturing" ], "aliases": [], "fitness": 77, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/quality/quality-inspection.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/quality/quality-inspection.blueprint.yaml" }, { "feature": "quality-management-system", "version": "1.0.0", "description": "Quality management with goals, periodic reviews, hierarchical procedures, feedback collection, and corrective/preventive action tracking for continuous improvement.\n", "tags": [ "quality-management", "quality-goals", "quality-review", "quality-procedures", "corrective-action", "preventive-action", "feedback", "continuous-improvement" ], "aliases": [], "fitness": 76, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/quality/quality-management-system.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/quality/quality-management-system.blueprint.yaml" } ] }, "project": { "count": 1, "blueprints": [ { "feature": "project-task-management", "version": "1.0.0", "description": "Project and task management with hierarchical tasks, dependency tracking, milestones, templates, and timesheet-based billable time tracking. Progress auto-calculated from tasks.\n", "tags": [ "project", "task", "timesheet", "milestone", "dependency", "billing", "time-tracking" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/project/project-task-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/project/project-task-management.blueprint.yaml" } ] }, "procurement": { "count": 1, "blueprints": [ { "feature": "supplier-scorecard", "version": "1.0.0", "description": "Supplier performance scorecard system with weighted criteria, formula-based scoring, standing thresholds, automatic transaction blocking, and periodic score recalculation.\n", "tags": [ "supplier-evaluation", "procurement", "performance-scoring", "vendor-management", "transaction-blocking" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/procurement/supplier-scorecard.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/procurement/supplier-scorecard.blueprint.yaml" } ] }, "trading": { "count": 352, "blueprints": [ { "feature": "active-equity-portfolio-construction-l3", "version": "1.0.0", "description": "Active equity portfolio construction — building blocks, risk measures, risk budgeting, position sizing, long/short strategies, market-neutral, and implicit costs", "tags": [ "portfolio-management", "equity", "active-equity", "portfolio-construction", "risk-budgeting", "long-short", "market-neutral", "tracking-error", "cfa-level-3" ], "aliases": [ "active-equity-construction-l3", "equity-risk-budgeting-l3", "long-short-equity-construction-l3", "market-neutral-equity-l3", "long-extension-portfolio-l3", "equity-position-sizing-l3", "well-constructed-portfolio-l3" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/active-equity-portfolio-construction-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/active-equity-portfolio-construction-l3.blueprint.yaml" }, { "feature": "active-equity-strategies-l3", "version": "1.0.0", "description": "Active equity strategies — bottom-up/top-down/factor approaches, value/momentum/growth/quality factors, activist strategies, quant strategies, and pitfalls", "tags": [ "portfolio-management", "equity", "active-equity", "value-investing", "momentum", "factor-investing", "activist-investing", "quantitative-equity", "cfa-level-3" ], "aliases": [ "active-equity-approaches-l3", "bottom-up-equity-l3", "top-down-equity-l3", "equity-factor-strategies-l3", "value-investing-l3", "momentum-equity-l3", "activist-investing-l3", "quantitative-equity-l3", "fundamental-active-equity-l3" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/active-equity-strategies-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/active-equity-strategies-l3.blueprint.yaml" }, { "feature": "active-portfolio-management-l2", "version": "1.0.0", "description": "Analyse active portfolio management — value added, Sharpe and information ratio, fundamental law of active management (IC, BR, TC), optimal active portfolios, fixed-income and global equity strategies", "tags": [ "portfolio-management", "active-management", "information-ratio", "fundamental-law", "ic-br", "cfa-level-2" ], "aliases": [ "fundamental-law-active-management", "information-ratio-l2", "information-coefficient-breadth", "transfer-coefficient-l2", "active-return-decomposition", "sharpe-vs-information-ratio", "optimal-active-portfolio" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/active-portfolio-management-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/active-portfolio-management-l2.blueprint.yaml" }, { "feature": "after-tax-nominal-return", "version": "1.0.0", "description": "Convert pre-tax nominal return to after-tax nominal return, accounting for income tax (on dividends/interest) and capital gains tax", "tags": [ "quantitative-methods", "return-measures", "tax", "after-tax", "cfa-level-1" ], "aliases": [ "after-tax-return", "post-tax-return", "tax-adjusted-return", "net-of-tax-return" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/after-tax-nominal-return.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/after-tax-nominal-return.blueprint.yaml" }, { "feature": "alt-investments-features-categories", "version": "1.0.0", "description": "Classify alternative investments into private capital, real assets, and hedge funds, and contrast them with traditional equity and fixed income on liquidity, fees, and regulation", "tags": [ "alternatives", "private-capital", "real-assets", "hedge-funds", "cfa-level-1" ], "aliases": [ "alternative-investment-features", "alt-inv-categories", "private-capital-category", "real-assets-category", "alternative-vs-traditional", "alt-investment-taxonomy" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/alt-investments-features-categories.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/alt-investments-features-categories.blueprint.yaml" }, { "feature": "alt-investments-methods", "version": "1.0.0", "description": "Compare fund investment, co-investment, and direct investment methods for accessing alternatives, contrasting diversification, fees, control, and required expertise", "tags": [ "alternatives", "fund-investment", "co-investment", "direct-investment", "cfa-level-1" ], "aliases": [ "fund-of-funds-access", "co-investment-method", "direct-alt-investment", "alt-access-routes", "limited-partner-method", "gp-lp-structure" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/alt-investments-methods.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/alt-investments-methods.blueprint.yaml" }, { "feature": "alt-investments-ownership-compensation", "version": "1.0.0", "description": "Describe limited-partnership structures, management fees, incentive fees, hurdle rates, high-water marks, clawbacks, and distribution waterfalls used in alternative funds", "tags": [ "alternatives", "fee-structure", "gp-lp", "waterfall", "carried-interest", "cfa-level-1" ], "aliases": [ "two-and-twenty", "carried-interest", "hurdle-rate", "high-water-mark", "distribution-waterfall", "gp-clawback", "american-waterfall", "european-waterfall" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/alt-investments-ownership-compensation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/alt-investments-ownership-compensation.blueprint.yaml" }, { "feature": "alt-investments-performance-appraisal", "version": "1.0.0", "description": "Appraise alternative-investment performance accounting for illiquidity, stale pricing, non-normal return distributions, benchmark selection, and comparability with traditional assets", "tags": [ "alternatives", "performance-appraisal", "smoothing", "benchmarks", "pme", "cfa-level-1" ], "aliases": [ "alt-performance-measurement", "pme-comparison", "public-market-equivalent", "smoothing-adjustment", "unsmoothed-returns", "nav-stale-pricing" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/alt-investments-performance-appraisal.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/alt-investments-performance-appraisal.blueprint.yaml" }, { "feature": "alt-investments-return-calculations", "version": "1.0.0", "description": "Compute alternative-investment returns using IRR, MOIC, DPI, RVPI, TVPI, and time-weighted returns with attention to committed vs. invested capital and cash-flow timing", "tags": [ "alternatives", "irr", "moic", "dpi", "tvpi", "performance-metrics", "cfa-level-1" ], "aliases": [ "multiple-on-invested-capital", "dpi-rvpi-tvpi", "committed-vs-invested-capital", "j-curve-effect", "alt-money-weighted-return", "private-fund-metrics" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/alt-investments-return-calculations.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/alt-investments-return-calculations.blueprint.yaml" }, { "feature": "annualized-return", "version": "1.0.0", "description": "Convert a return earned over any period (days, weeks, months, quarters) into an equivalent annualized (compounded-to-one-year) rate", "tags": [ "quantitative-methods", "return-measures", "annualization", "cfa-level-1" ], "aliases": [ "annualised-return", "annualization", "effective-annual-return", "ear", "ear-conversion", "convert-to-annual" ], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/annualized-return.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/annualized-return.blueprint.yaml" }, { "feature": "arbitrage-free-valuation-framework-l2", "version": "1.0.0", "description": "Value bonds arbitrage-free — law of one price, binomial interest rate trees, calibration to term structure, pathwise valuation, Monte Carlo, equilibrium and arbitrage-free term structure models", "tags": [ "fixed-income", "arbitrage-free", "binomial-tree", "monte-carlo", "term-structure-models", "cfa-level-2" ], "aliases": [ "law-of-one-price-l2", "binomial-interest-rate-tree", "pathwise-valuation", "monte-carlo-bond-valuation", "equilibrium-term-structure-models", "arbitrage-free-term-structure-models", "calibration-binomial-tree" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/arbitrage-free-valuation-framework-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/arbitrage-free-valuation-framework-l2.blueprint.yaml" }, { "feature": "arithmetic-mean-return", "version": "1.0.0", "description": "Compute the arithmetic mean return of a return series — the simple average of periodic returns, used as an estimator of expected single-period return", "tags": [ "quantitative-methods", "return-measures", "mean-return", "cfa-level-1", "performance", "statistics" ], "aliases": [ "arithmetic-mean", "simple-average-return", "mean-periodic-return", "expected-return-estimator", "r-bar" ], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/arithmetic-mean-return.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/arithmetic-mean-return.blueprint.yaml" }, { "feature": "asset-allocation-alternatives-l3", "version": "1.0.0", "description": "Asset allocation to alternative investments — role in portfolios, risk-based classification, return expectations, liquidity planning, mean-CVaR optimization, and monitoring", "tags": [ "portfolio-management", "alternative-investments", "private-equity", "real-assets", "hedge-funds", "liquidity-planning", "mean-cvar", "risk-based-classification", "cfa-level-3" ], "aliases": [ "alternatives-asset-allocation-l3", "risk-based-alternatives-l3", "alternatives-liquidity-planning-l3", "mean-cvar-optimization-l3", "alternatives-monitoring-l3", "alternatives-return-expectations-l3" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/asset-allocation-alternatives-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/asset-allocation-alternatives-l3.blueprint.yaml" }, { "feature": "asset-allocation-constraints-l3", "version": "1.0.0", "description": "Asset allocation under real-world constraints — asset size, liquidity, time horizon, taxes, regulatory limits, TAA, and behavioral biases", "tags": [ "portfolio-management", "asset-allocation", "tax-aware-investing", "tactical-asset-allocation", "behavioral-finance", "regulatory-constraints", "cfa-level-3" ], "aliases": [ "asset-allocation-real-world-l3", "tax-aware-asset-allocation-l3", "tactical-asset-allocation-l3", "institutional-asset-allocation-constraints-l3", "behavioral-biases-asset-allocation-l3", "asset-size-constraints-l3", "liquidity-constraints-allocation-l3" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/asset-allocation-constraints-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/asset-allocation-constraints-l3.blueprint.yaml" }, { "feature": "backtesting-simulation-l2", "version": "1.0.0", "description": "Conduct backtesting and simulation — backtesting process, multifactor model backtesting, survivorship/look-ahead/data-snooping biases, historical and Monte Carlo simulation, sensitivity analysis", "tags": [ "portfolio-management", "backtesting", "simulation", "look-ahead-bias", "survivorship-bias", "monte-carlo", "cfa-level-2" ], "aliases": [ "strategy-backtesting-l2", "backtesting-biases-l2", "survivorship-bias-backtesting", "look-ahead-bias-l2", "data-snooping-bias", "historical-simulation-l2", "multifactor-model-backtesting" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/backtesting-simulation-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/backtesting-simulation-l2.blueprint.yaml" }, { "feature": "bayes-formula", "version": "1.0.0", "description": "Apply Bayes' formula to update a prior probability to a posterior probability in the light of new evidence — the formal rule for rational belief revision", "tags": [ "quantitative-methods", "probability", "bayes", "bayesian-updating", "conditional-probability", "prior-posterior", "cfa-level-1" ], "aliases": [ "bayes-theorem", "bayesian-updating", "posterior-probability", "prior-posterior", "belief-revision", "probability-update", "conditional-inversion" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/bayes-formula.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/bayes-formula.blueprint.yaml" }, { "feature": "behavioral-biases-cognitive", "version": "1.0.0", "description": "Identify cognitive behavioral biases (conservatism, confirmation, representativeness, illusion of control, hindsight, framing, anchoring, availability) and their impact on investment decisions", "tags": [ "behavioral-finance", "cognitive-bias", "belief-perseverance", "processing-errors", "cfa-level-1" ], "aliases": [ "conservatism-bias", "confirmation-bias", "representativeness-bias", "illusion-of-control-bias", "hindsight-bias", "framing-bias", "anchoring-adjustment", "availability-bias" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/behavioral-biases-cognitive.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/behavioral-biases-cognitive.blueprint.yaml" }, { "feature": "behavioral-biases-emotional", "version": "1.0.0", "description": "Identify emotional biases (loss aversion, overconfidence, self-control, status quo, endowment, regret aversion) and describe their effect on portfolio construction and rebalancing", "tags": [ "behavioral-finance", "emotional-bias", "loss-aversion", "overconfidence", "endowment-bias", "cfa-level-1" ], "aliases": [ "loss-aversion-bias", "overconfidence-bias", "self-control-bias", "status-quo-bias", "endowment-bias", "regret-aversion-bias" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/behavioral-biases-emotional.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/behavioral-biases-emotional.blueprint.yaml" }, { "feature": "behavioral-finance-market-anomalies", "version": "1.0.0", "description": "Explain behavioural sources of momentum, bubbles and crashes, value, and other market anomalies and contrast behavioural finance with efficient-market explanations", "tags": [ "behavioral-finance", "market-anomaly", "momentum", "bubble", "value", "cfa-level-1" ], "aliases": [ "momentum-anomaly-behavioral", "bubbles-crashes", "value-anomaly-cfa", "behavioral-vs-efficient-market", "herding-bias-market", "disposition-effect" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/behavioral-finance-market-anomalies.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/behavioral-finance-market-anomalies.blueprint.yaml" }, { "feature": "beta-market-model", "version": "1.0.0", "description": "Calculate and interpret beta using the market model, describe return-generating models, and explain beta adjustment, estimation windows, and implications for expected return", "tags": [ "portfolio-management", "beta", "market-model", "return-generating-model", "cfa-level-1" ], "aliases": [ "beta-estimation", "adjusted-beta", "blume-adjustment", "rolling-beta", "return-generating-model" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/beta-market-model.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/beta-market-model.blueprint.yaml" }, { "feature": "big-data-characteristics", "version": "1.0.0", "description": "Classify and evaluate big data sources by the four V characteristics — volume, velocity, variety, and veracity — and distinguish structured, semi-structured, and unstructured data", "tags": [ "quantitative-methods", "big-data", "fintech", "data-characterisation", "alternative-data", "cfa-level-1" ], "aliases": [ "four-vs-of-big-data", "volume-velocity-variety-veracity", "alternative-data-taxonomy", "data-source-classification", "big-data-definition", "data-typing" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/big-data-characteristics.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/big-data-characteristics.blueprint.yaml" }, { "feature": "big-data-projects-l2", "version": "1.0.0", "description": "Execute a big-data analysis project — data preparation and wrangling, feature selection and engineering, model training, and performance evaluation for structured and unstructured data", "tags": [ "quant", "big-data", "data-wrangling", "feature-engineering", "model-training", "cfa-level-2" ], "aliases": [ "data-analysis-project-l2", "data-wrangling-cfa", "feature-selection-engineering", "text-preparation-cleansing", "text-wrangling-preprocessing", "structured-unstructured-data" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/big-data-projects-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/big-data-projects-l2.blueprint.yaml" }, { "feature": "binomial-option-pricing", "version": "1.0.0", "description": "Value European and American options with one- and multi-period binomial trees using risk-neutral probabilities, replication, and backward induction for early exercise", "tags": [ "derivatives", "option-pricing", "binomial-model", "risk-neutral", "backward-induction", "cfa-level-1" ], "aliases": [ "binomial-valuation-tree", "cfa-one-period-binomial", "cfa-multi-period-binomial", "risk-neutral-valuation", "backward-induction-options", "american-option-pricing" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/binomial-option-pricing.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/binomial-option-pricing.blueprint.yaml" }, { "feature": "bond-etp-eod-data-delivery", "version": "1.0.0", "description": "End-of-day bond electronic trading platform data delivery via FTP — fixed-width and CSV formats covering daily trade details", "tags": [ "market-data", "eod", "bond-etp", "bonds", "ftp", "dissemination", "fixed-width", "csv", "non-live" ], "aliases": [], "fitness": 68, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/bond-etp-eod-data-delivery.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/bond-etp-eod-data-delivery.blueprint.yaml" }, { "feature": "bond-pricing-models", "version": "1.0.0", "description": "Bond pricing and valuation methodologies for conventional, floating-rate, inflation-indexed bonds and MTM revaluation", "tags": [ "bonds", "pricing", "valuation", "mtm", "frn", "inflation-indexed", "yield" ], "aliases": [ "bond-pricing", "bond-valuation", "mtm-bond-pricing", "frn-pricing", "inflation-bond-pricing" ], "fitness": 76, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/bond-pricing-models.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/bond-pricing-models.blueprint.yaml" }, { "feature": "bonds-leases-accounting", "version": "1.0.0", "description": "Account for non-current liabilities — bond issuance at par/premium/discount, effective interest method, debt covenants, and lease capitalisation under IFRS 16 and ASC 842", "tags": [ "financial-statement-analysis", "non-current-liabilities", "bonds-payable", "leases", "ifrs-16", "effective-interest", "cfa-level-1" ], "aliases": [ "bonds-payable", "effective-interest-method", "premium-discount-amortisation", "finance-lease", "operating-lease", "bond-covenants" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/bonds-leases-accounting.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/bonds-leases-accounting.blueprint.yaml" }, { "feature": "bonds-with-embedded-options-l2", "version": "1.0.0", "description": "Value bonds with embedded options — callable, putable, convertible, capped/floored floaters; option-adjusted spread, effective duration and convexity, one-sided durations, key rate durations", "tags": [ "fixed-income", "callable-bonds", "putable-bonds", "convertible-bonds", "oas", "effective-duration", "cfa-level-2" ], "aliases": [ "callable-bond-valuation-l2", "putable-bond-valuation-l2", "convertible-bond-valuation-l2", "option-adjusted-spread-l2", "effective-duration-convexity", "capped-floored-floater", "one-sided-duration" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/bonds-with-embedded-options-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/bonds-with-embedded-options-l2.blueprint.yaml" }, { "feature": "bootstrap-resampling", "version": "1.0.0", "description": "Construct a sampling distribution by repeatedly drawing with-replacement resamples from the observed data — a nonparametric approach to inference that requires no distributional assumption", "tags": [ "quantitative-methods", "simulation", "bootstrap", "resampling", "nonparametric", "sampling-distribution", "statistical-inference", "cfa-level-1" ], "aliases": [ "bootstrap", "bootstrap-method", "resampling", "nonparametric-bootstrap", "empirical-resampling", "efron-bootstrap", "with-replacement-sampling" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/bootstrap-resampling.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/bootstrap-resampling.blueprint.yaml" }, { "feature": "broker-account-transfers-portfolio-moves", "version": "1.0.0", "description": "Automates account-to-account transfers and bulk portfolio moves of dematerialised listed equity holdings between client accounts, including source/destination validation, supervisor approval, and...", "tags": [ "back-office", "broker", "account-transfer", "portfolio-move", "settlement", "dematerialised", "csdp", "equities" ], "aliases": [ "account-transfers", "portfolio-moves", "atsel", "atdlv", "atrec", "pmsel", "pmdlv", "pmrec", "internal-account-transfer", "external-account-transfer", "portfolio-transfer", "holdings-transfer", "bulk-portfolio-transfer" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-account-transfers-portfolio-moves.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-account-transfers-portfolio-moves.blueprint.yaml" }, { "feature": "broker-back-office-dissemination", "version": "1.1.0", "description": "End-of-day back-office dissemination from central broker admin to member firms via fixed-width card code records (accounts, balances, deals, scrip, GL, SLB, elective events)", "tags": [ "back-office", "broker", "dissemination", "fixed-width", "card-codes", "accounts", "deals", "scrip", "gl", "sbl", "elective-events", "corporate-actions" ], "aliases": [], "fitness": 83, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-back-office-dissemination.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-back-office-dissemination.blueprint.yaml" }, { "feature": "broker-bond-download-automation", "version": "1.0.0", "description": "Automated scheduled download of bond instrument datasets from a bond-data-feed-provider, including error monitoring, adhoc request handling, and a file processing pipeline for verified distribution", "tags": [ "back-office", "broker", "bond", "automation", "scheduled-job", "batch", "file-pipeline", "monitoring" ], "aliases": [ "bond-download-automation", "bnd-download", "bond-data-retrieval", "adhoc-bond-download", "scheduled-bond-download", "bond-file-pipeline" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-bond-download-automation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-bond-download-automation.blueprint.yaml" }, { "feature": "broker-bond-member-setup", "version": "1.0.0", "description": "Onboarding and configuration of a new bond-market member on the broker back-office system including reference data, settlement accounts, user access, capital adequacy, and trade-processing enablement", "tags": [ "back-office", "broker", "bond-market", "member-onboarding", "settlement", "reference-data", "capital-adequacy", "access-control" ], "aliases": [ "bond-member-onboarding", "bond-member-loading", "bond-user-setup", "bond-broker-registration", "gilt-member-setup", "bond-trading-authorization" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-bond-member-setup.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-bond-member-setup.blueprint.yaml" }, { "feature": "broker-ca-election-download", "version": "1.0.0", "description": "Download frozen-file corporate-action election positions to brokers per account for voluntary events, supporting live or batch delivery via email or SFTP.", "tags": [ "corporate-actions", "elections", "voluntary-events", "dissemination", "frozen-file" ], "aliases": [ "ca-election-download", "corporate-action-election-feed", "voluntary-event-feed", "elective-events-frozen-file", "ca-elect-download" ], "fitness": 71, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-ca-election-download.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-ca-election-download.blueprint.yaml" }, { "feature": "broker-ca-election-upload", "version": "1.0.0", "description": "Broker upload of client elections for voluntary corporate action events, validated against a frozen positions file before the election deadline.", "tags": [ "corporate-actions", "elections", "upload", "voluntary-events", "broker" ], "aliases": [ "ca-election-upload", "corporate-action-election-submit", "voluntary-event-elections", "elective-event-upload", "ca-elect-upload" ], "fitness": 72, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-ca-election-upload.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-ca-election-upload.blueprint.yaml" }, { "feature": "broker-client-account-maintenance", "version": "1.0.0", "description": "Internal back-office account maintenance for clients, agents, and stock accounts including alpha lookup, relationships, addresses, tax/legal records, freezes, and memos", "tags": [ "back-office", "broker", "account-maintenance", "clients", "agents", "stock-accounts", "tax", "kyc", "popia" ], "aliases": [ "client-account-maintenance", "account-maintenance", "clmnt", "broker-account-setup", "account-master-data", "account-alpha-lookup", "agent-account-maintenance" ], "fitness": 80, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-client-account-maintenance.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-client-account-maintenance.blueprint.yaml" }, { "feature": "broker-client-data-upload", "version": "1.1.0", "description": "Client account data upload from broker firms to central back-office via fixed-width card code files covering account, CSDP, addresses, FATCA/IT3 tax, and portfolio data", "tags": [ "back-office", "broker", "upload", "client-data", "fatca", "kyc", "card-codes", "fixed-width", "csdp" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-client-data-upload.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-client-data-upload.blueprint.yaml" }, { "feature": "broker-client-pledge-equities", "version": "1.0.0", "description": "Client pledge of electronically settled listed equities on controlled broker accounts, covering pledgee setup, pledge deposit and withdrawal, CSD reporting, and corporate action treatment", "tags": [ "back-office", "broker", "pledge", "collateral", "equities", "csd", "corporate-actions", "segregation" ], "aliases": [ "client-pledge-equities", "securities-pledge", "listed-equity-pledge", "client-scrip-pledge", "pledge-deposit-withdrawal", "ustcp", "usxcp", "cpenq", "cpdet" ], "fitness": 74, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-client-pledge-equities.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-client-pledge-equities.blueprint.yaml" }, { "feature": "broker-corporate-actions", "version": "1.0.0", "description": "Back-office corporate actions processing covering event announcement, last-day-to-trade and record-date lifecycle, client entitlements, rights issues, cash or share elections, and loan/collateral...", "tags": [ "back-office", "broker", "corporate-actions", "entitlements", "dividends", "rights-issues", "elections", "popia" ], "aliases": [ "entitlements-processing", "ca-processing", "dividend-processing", "rights-issue-processing", "election-processing", "frozen-file-processing", "corporate-event-lifecycle" ], "fitness": 78, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-corporate-actions.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-corporate-actions.blueprint.yaml" }, { "feature": "broker-credit-limit-dissemination", "version": "1.0.0", "description": "Disseminate per-account credit limits to broker trading systems for pre-trade risk checks, utilisation tracking and order blocking on breach.", "tags": [ "credit-limit", "pre-trade-risk", "dissemination", "risk-management", "broker-feed" ], "aliases": [ "credit-limit-dissemination", "credit-limit-feed", "pre-trade-risk-limits", "broker-cr-lim-feed", "crd-lim-dissem" ], "fitness": 76, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-credit-limit-dissemination.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-credit-limit-dissemination.blueprint.yaml" }, { "feature": "broker-credit-limit-upload", "version": "1.0.0", "description": "Bulk upload or update of per-account credit limits by brokers with validation, supervisor approval, effective-date scheduling, and audit trail.", "tags": [ "credit-limit", "bulk-upload", "risk", "approval-workflow", "audit" ], "aliases": [ "credit-limit-upload", "bulk-credit-limit-update", "cr-lim-upload", "credit-limit-maintenance-bulk", "crd-lim-upload" ], "fitness": 74, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-credit-limit-upload.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-credit-limit-upload.blueprint.yaml" }, { "feature": "broker-deal-management", "version": "1.0.0", "description": "Internal back-office deal management covering allocation, release, extensions, direct deals, pre-dated deals, deal adjustments, and contract note generation for equity trades", "tags": [ "back-office", "broker", "deal-allocation", "trade-release", "contract-notes", "same-day-allocation", "next-day-allocation", "popia" ], "aliases": [ "deal-management", "deal-allocation", "trade-allocation", "deal-release", "direct-deals", "pre-dated-deals", "deal-adjustments", "contract-note-generation" ], "fitness": 74, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-deal-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-deal-management.blueprint.yaml" }, { "feature": "broker-deal-management-upload", "version": "1.1.0", "description": "Fixed-width bulk upload of deal allocations, same-day allocations, deals, amendments and cancellations to back-office with settlement-cycle aware rules", "tags": [ "back-office", "broker", "upload", "deal-allocation", "settlement", "amendment", "cancellation", "fixed-width" ], "aliases": [], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-deal-management-upload.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-deal-management-upload.blueprint.yaml" }, { "feature": "broker-dematerialisation", "version": "1.0.0", "description": "Back-office conversion of paper share certificates into electronic records via a central securities depository, with lodgement, nominee-name registration, scrip register updates, proprietary and...", "tags": [ "back-office", "broker", "dematerialisation", "scrip", "nominee", "csd", "settlement", "equities" ], "aliases": [ "dematerialisation", "demat", "scrip-dematerialisation", "paper-to-electronic", "scrip-lodgement", "rematerialisation", "nominee-registration" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-dematerialisation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-dematerialisation.blueprint.yaml" }, { "feature": "broker-dematerialisation-upload", "version": "1.1.0", "description": "Bulk dematerialisation upload from broker to back-office via fixed-width card-code file, validating paper certificates against the register and routing holdings to the central depository", "tags": [ "back-office", "broker", "upload", "demat", "dematerialisation", "positions", "card-codes", "fixed-width", "certificate-register", "central-depository" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-dematerialisation-upload.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-dematerialisation-upload.blueprint.yaml" }, { "feature": "broker-derivatives", "version": "1.0.0", "description": "Nightly derivatives upload into the broker back-office producing automatic margin and mark-to-market journals, booking-fee and brokerage calculation, and position enquiry for futures and options", "tags": [ "back-office", "broker", "derivatives", "futures", "options", "margin", "mark-to-market", "booking-fees", "brokerage", "positions" ], "aliases": [ "derivatives-upload", "futures-and-options", "safex-upload", "derivative-positions", "margin-journals", "mtm-journals", "contract-rate-table", "derivatives-back-office" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-derivatives.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-derivatives.blueprint.yaml" }, { "feature": "broker-electronic-cash-payments", "version": "1.0.0", "description": "Back-office electronic funds transfer interface that loads cash payments into authorised batches, applies multi-level verification and dual release with segregation of duties, and submits them to...", "tags": [ "back-office", "broker", "payments", "eft", "batching", "authorisation", "dual-control", "bank-integration", "popia" ], "aliases": [ "electronic-cash-payments", "broker-eft-payments", "broker-eft", "cash-payment-batches", "payment-release", "bank-transfer-interface", "electronic-payment-gateway" ], "fitness": 80, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-electronic-cash-payments.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-electronic-cash-payments.blueprint.yaml" }, { "feature": "broker-enquiry-screens", "version": "1.0.0", "description": "Online enquiry facilities for broker back-office users to view client balances, open deals, securities positions, financial history, charge and trade statistics, and portfolio holdings", "tags": [ "back-office", "broker", "enquiry", "read-only", "client-positions", "balances", "financial-history", "portfolio", "trade-statistics" ], "aliases": [ "broker-enquiries", "enquiry-screens", "client-enquiry", "deal-enquiry", "portfolio-enquiry", "account-balance-enquiry", "open-positions-and-history", "menuk" ], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-enquiry-screens.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-enquiry-screens.blueprint.yaml" }, { "feature": "broker-financial-data-upload", "version": "1.1.0", "description": "Fixed-width bulk GL and financial upload - cash receipts, cash payments and journal entries - with double-entry validation, GL account checks and reversal rules", "tags": [ "back-office", "broker", "upload", "financial-data", "cash-book", "journal", "gl", "fixed-width", "double-entry" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-financial-data-upload.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-financial-data-upload.blueprint.yaml" }, { "feature": "broker-financial-processing", "version": "1.0.0", "description": "Internal back-office financial processing covering general ledger, cash payments and receipts, journal entries, debit and credit interest calculations, trust-account provider integration, and...", "tags": [ "back-office", "broker", "finance", "general-ledger", "cash-management", "journals", "interest", "eft", "popia" ], "aliases": [ "broker-finance", "financial-processing", "cash-management", "general-ledger-processing", "journal-entry-capture", "interest-calculation", "eft-payments", "trust-account-sweep" ], "fitness": 78, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-financial-processing.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-financial-processing.blueprint.yaml" }, { "feature": "broker-general-maintenance", "version": "1.0.0", "description": "Back-office general maintenance covering user-specific master records, online and batch print control, end-user reporting, instrument information, remote printer maintenance, report request...", "tags": [ "back-office", "broker", "general-maintenance", "reporting", "printing", "instruments", "reference-data", "tables" ], "aliases": [ "general-maintenance", "menua", "broker-reference-data", "online-batch-print-control", "end-user-reporting", "remote-printer-maintenance", "report-request-loading", "instrument-maintenance", "broker-tables" ], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-general-maintenance.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-general-maintenance.blueprint.yaml" }, { "feature": "broker-institution-dissemination", "version": "1.0.0", "description": "Overnight dissemination of broker back-office data (accounts, balances, deals, transactions, entitlements) to subscribed institutional clients for reconciliation.", "tags": [ "dissemination", "institutional", "reconciliation", "fixed-width", "overnight-batch", "popia" ], "aliases": [ "institutional-dissemination", "asset-manager-feed", "pension-fund-feed", "instn-dissem", "broker-institution-feed", "institution-data-download" ], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-institution-dissemination.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-institution-dissemination.blueprint.yaml" }, { "feature": "broker-money-market", "version": "1.0.0", "description": "Broker-managed money market facility for investing pooled client funds in daily call and fixed-term deposits with a deposit-taking institution, with automated interest capitalisation and reinvestment", "tags": [ "back-office", "broker", "money-market", "call-loan", "fixed-term-deposit", "deposit-taking-institution", "interest-capitalisation", "pooled-funds" ], "aliases": [ "money-market", "mm-loans-and-deposits", "broker-call-deposit", "broker-fixed-term-deposit", "pooled-client-funds", "mm-investment-maintenance", "mm-control-parameters" ], "fitness": 80, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-money-market.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-money-market.blueprint.yaml" }, { "feature": "broker-money-market-upload", "version": "1.0.0", "description": "Daily bulk upload of money market investments, cash movements, journals and memo transactions from external broker systems via fixed-width card-code records.", "tags": [ "money-market", "bulk-upload", "fixed-width", "investments", "ncd", "deposits", "back-office" ], "aliases": [ "money-market-upload", "mm-bulk-upload", "ncd-cd-upload", "money-market-bulk", "mm-trade-upload" ], "fitness": 71, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-money-market-upload.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-money-market-upload.blueprint.yaml" }, { "feature": "broker-negotiable-brokerage", "version": "1.0.0", "description": "Negotiable brokerage configuration covering custom commission rate schedules, per-client rate assignments, contract-note overrides, minimum charges, and brokerage scale tables keyed by instrument...", "tags": [ "back-office", "broker", "brokerage", "commission", "rate-schedule", "contract-note", "pricing", "trading" ], "aliases": [ "negotiable-brokerage", "negotiated-brokerage", "brokerage-scales", "commission-schedules", "broker-rate-tables", "custom-commission-rates", "client-rate-schedules" ], "fitness": 76, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-negotiable-brokerage.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-negotiable-brokerage.blueprint.yaml" }, { "feature": "broker-portfolio-management", "version": "1.0.0", "description": "Internal back-office portfolio management for client investment holdings across equities, warrants, bonds, unit trusts and unlisted assets, including at-home holdings, valuation statements,...", "tags": [ "back-office", "broker", "portfolio", "holdings", "valuation", "performance-measurement", "unlisted-securities", "at-home-holdings", "popia" ], "aliases": [ "broker-portfolio", "portfolio-maintenance", "client-portfolio", "holdings-management", "menup", "pfv", "valuation-statements", "broker-portfolio-enquiry" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-portfolio-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-portfolio-management.blueprint.yaml" }, { "feature": "broker-prime-broking", "version": "1.0.0", "description": "Prime brokerage workflow covering executing-broker and prime-broker relationship, trade give-ups, consolidated settlement, and client reporting across multiple executing brokers", "tags": [ "back-office", "broker", "prime-broking", "give-up", "settlement", "clearing", "custody", "reporting" ], "aliases": [ "prime-broker", "prime-brokerage", "give-up", "trade-give-up", "executing-broker", "prime-account", "consolidated-settlement", "pbacv", "ebenq" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-prime-broking.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-prime-broking.blueprint.yaml" }, { "feature": "broker-realtime-deal-management", "version": "1.0.0", "description": "Intra-day release and management of market trades, allocations and deal extensions into the broker sub-ledger, with average-price calculation, electronic trade confirmations and SWIFT contract notes", "tags": [ "back-office", "broker", "trading", "real-time", "settlement", "contract-notes", "swift", "etc", "average-price" ], "aliases": [ "realtime-deal-management", "realtime-trade-release", "rtrel", "same-day-allocation", "sdall", "intra-day-release", "trade-day-processing", "electronic-trade-confirmation", "swift-contract-notes" ], "fitness": 77, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-realtime-deal-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-realtime-deal-management.blueprint.yaml" }, { "feature": "broker-reports", "version": "1.0.0", "description": "Standard broker reporting subsystem covering contract notes, statements, portfolio valuations, tax certificates, scheduled batch generation, and multi-channel delivery", "tags": [ "back-office", "broker", "reports", "contract-notes", "statements", "portfolio-valuation", "tax-certificates", "batch-scheduling", "delivery" ], "aliases": [ "broker-standard-reports", "report-scheduler", "contract-notes", "client-statements", "portfolio-valuations", "tax-certificates", "it3b-reports", "cgt-reports", "report-delivery" ], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-reports.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-reports.blueprint.yaml" }, { "feature": "broker-scrip-procedures", "version": "1.0.0", "description": "Back-office scrip handling covering physical and electronic securities — receipts, allocations, registration, dispatch, safekeeping, central depository lodgement, pledge management, and scrip...", "tags": [ "back-office", "broker", "scrip", "settlement", "safekeeping", "csd", "lodgement", "dematerialisation", "float-control", "bank-pledge" ], "aliases": [ "scrip-procedures", "scrip-handling", "physical-securities-handling", "scrip-register", "scrip-movements", "safe-custody", "csdp-lodgement", "float-control" ], "fitness": 77, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-scrip-procedures.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-scrip-procedures.blueprint.yaml" }, { "feature": "broker-securities-funds-availability", "version": "1.0.0", "description": "Pre-trade and settlement-cycle availability checks for securities holdings and cash balances, with real-time position lookup and trading limit enforcement across proprietary and controlled accounts", "tags": [ "back-office", "broker", "settlement", "clearing", "pre-trade", "risk", "availability", "trading-limits" ], "aliases": [ "sfa", "securities-and-funds-availability", "pre-trade-check", "availability-check", "settlement-availability", "funds-availability", "securities-availability", "trading-limit-check", "sfenq", "sfpss", "sfpps" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-securities-funds-availability.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-securities-funds-availability.blueprint.yaml" }, { "feature": "broker-securities-lending-borrowing-upload", "version": "1.1.0", "description": "Broker securities lending and borrowing upload via fixed-width card-code records for loan open, collateral pledge, confirmation, return, mark-to-market, and margin calls", "tags": [ "back-office", "broker", "upload", "slb", "securities-lending", "borrowing", "collateral", "fixed-width", "card-codes", "mark-to-market", "margin-call" ], "aliases": [], "fitness": 77, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-securities-lending-borrowing-upload.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-securities-lending-borrowing-upload.blueprint.yaml" }, { "feature": "broker-securities-lending-collateral", "version": "1.0.0", "description": "Back-office securities lending and borrowing (SLB) with cash and securities collateral, loan book, collateral interest, proprietary loans, and central-securities-depository movement via...", "tags": [ "back-office", "broker", "securities-lending", "slb", "collateral", "loan-book", "settlement", "proprietary" ], "aliases": [ "slb", "scrip-lending", "scrip-borrowing", "securities-lending-borrowing", "collateral-management", "cash-collateral", "securities-collateral", "loan-book", "slb-collateral" ], "fitness": 77, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-securities-lending-collateral.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-securities-lending-collateral.blueprint.yaml" }, { "feature": "broker-segregation-of-funds", "version": "1.0.0", "description": "Segregation of client funds from member funds via trust banking accounts with daily sweeps to a central trust-account provider, resident vs non-resident handling, and bank transfer instructions", "tags": [ "back-office", "broker", "segregation-of-funds", "trust-account", "sweeps", "exchange-control", "non-resident", "reconciliation" ], "aliases": [ "segregation-of-funds", "trust-account-sweeps", "client-fund-segregation", "daily-sweep", "jset-sweep", "non-resident-funds", "trust-banking" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/broker-segregation-of-funds.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-segregation-of-funds.blueprint.yaml" }, { "feature": "business-cycle-phases", "version": "1.0.0", "description": "Classify the current business cycle phase — recovery, expansion, slowdown, or recession — using GDP growth, unemployment, inflation, and policy signals", "tags": [ "economics", "macroeconomics", "business-cycle", "recession", "expansion", "phase-classification", "cfa-level-1" ], "aliases": [ "business-cycle-classification", "economic-cycle-phases", "recession-expansion-cycle", "cycle-stage-identification", "output-gap", "nber-dating" ], "fitness": 80, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/business-cycle-phases.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/business-cycle-phases.blueprint.yaml" }, { "feature": "buy-sell-back-pricing", "version": "1.0.0", "description": "Repo agreement (buy-sell-back) pricing combining bond valuation with\nrepo interest accrual over repurchase term.\n", "tags": [ "bonds", "repo", "buy-sell-back", "repurchase-agreement", "money-market" ], "aliases": [], "fitness": 60, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/buy-sell-back-pricing.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/buy-sell-back-pricing.blueprint.yaml" }, { "feature": "candlestick-pattern-recognition", "version": "1.0.0", "description": "Recognizes 61 Japanese candlestick patterns from OHLC price bars, returning +100 (bullish), -100 (bearish), or 0 (none) for each bar in the series", "tags": [ "technical-analysis", "candlestick", "pattern-recognition", "japanese-candlestick", "reversal", "continuation", "ta-lib" ], "aliases": [ "candlestick-patterns", "cdl-patterns", "japanese-candlestick", "candle-recognition", "ta-lib-candlestick", "price-pattern-recognition" ], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/candlestick-pattern-recognition.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/candlestick-pattern-recognition.blueprint.yaml" }, { "feature": "capital-allocation-npv-irr", "version": "1.0.0", "description": "Rank capital investments using NPV, IRR, and ROIC; identify allocation principles and common pitfalls (IRR conflicts, sunk costs, optimistic projections)", "tags": [ "corporate-issuers", "capital-allocation", "npv", "irr", "roic", "capital-budgeting", "real-options", "cfa-level-1" ], "aliases": [ "capital-budgeting", "project-evaluation", "net-present-value", "irr-capital-budgeting", "return-on-invested-capital", "real-options-valuation" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/capital-allocation-npv-irr.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/capital-allocation-npv-irr.blueprint.yaml" }, { "feature": "capital-flows-balance-of-payments", "version": "1.0.0", "description": "Decompose the balance of payments into current, capital, and financial accounts and analyse how capital flows interact with savings, investment, and the exchange rate", "tags": [ "economics", "macroeconomics", "balance-of-payments", "current-account", "capital-account", "savings-investment", "cfa-level-1" ], "aliases": [ "balance-of-payments", "current-account", "capital-account", "financial-account", "twin-deficits", "savings-investment-identity" ], "fitness": 80, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/capital-flows-balance-of-payments.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/capital-flows-balance-of-payments.blueprint.yaml" }, { "feature": "capital-market-expectations-asset-class-l3", "version": "1.0.0", "description": "Forecast asset class returns — FI building blocks, equity DCF/risk-premium, real estate cap rates, FX, volatility, Singer-Terhaar, Black-Litterman", "tags": [ "portfolio-management", "capital-market-expectations", "fixed-income-forecasting", "equity-forecasting", "real-estate", "singer-terhaar", "cfa-level-3" ], "aliases": [ "fi-return-forecasting-l3", "building-block-fi-returns-l3", "equity-return-forecasting-l3", "singer-terhaar-model-l3", "real-estate-forecasting-l3", "fx-forecasting-cme-l3", "volatility-forecasting-cme-l3", "black-litterman-cme-l3", "grinold-kroner-model-l3" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/capital-market-expectations-asset-class-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/capital-market-expectations-asset-class-l3.blueprint.yaml" }, { "feature": "capital-market-expectations-macro-l3", "version": "1.0.0", "description": "Develop capital market expectations — CME framework, forecasting challenges, GDP growth decomposition, econometric and indicator approaches, business cycle phases, monetary and fiscal policy", "tags": [ "portfolio-management", "capital-market-expectations", "business-cycle", "gdp-growth", "monetary-policy", "cfa-level-3" ], "aliases": [ "cme-framework-l3", "gdp-growth-decomposition-l3", "business-cycle-phases-l3", "econometric-forecasting-cme", "economic-indicators-cme", "monetary-fiscal-policy-cme", "forecasting-challenges-cme" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/capital-market-expectations-macro-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/capital-market-expectations-macro-l3.blueprint.yaml" }, { "feature": "capital-market-line-theory", "version": "1.0.0", "description": "Derive the Capital Market Line, combine risk-free asset with the market portfolio, and describe leveraged and lending portfolios with differing borrowing and lending rates", "tags": [ "portfolio-management", "cml", "market-portfolio", "leveraged-portfolio", "cfa-level-1" ], "aliases": [ "cml-equation", "market-portfolio", "leveraged-cml", "lending-portfolio", "borrowing-portfolio", "capital-allocation-line" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/capital-market-line-theory.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/capital-market-line-theory.blueprint.yaml" }, { "feature": "capm-security-market-line", "version": "1.0.0", "description": "Apply the Capital Asset Pricing Model with its assumptions, plot the Security Market Line, compute expected return from beta, and describe CAPM limitations and extensions", "tags": [ "portfolio-management", "capm", "sml", "expected-return", "cfa-level-1" ], "aliases": [ "capital-asset-pricing-model", "security-market-line", "sml-equation", "capm-assumptions", "capm-limitations", "arbitrage-pricing-theory", "multi-factor-extension" ], "fitness": 67, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/capm-security-market-line.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/capm-security-market-line.blueprint.yaml" }, { "feature": "cash-flow-additivity", "version": "1.0.0", "description": "Apply the cash flow additivity principle — the value of combined cash flow streams equals the sum of their present values, underpinning the no-arbitrage condition in asset pricing", "tags": [ "quantitative-methods", "time-value-of-money", "no-arbitrage", "cash-flow-additivity", "replication", "cfa-level-1" ], "aliases": [ "additivity-principle", "no-arbitrage-pricing", "replication-principle", "value-additivity", "arbitrage-free" ], "fitness": 80, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/cash-flow-additivity.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/cash-flow-additivity.blueprint.yaml" }, { "feature": "central-limit-theorem", "version": "1.0.0", "description": "Apply the Central Limit Theorem — the sampling distribution of the sample mean is approximately normal with mean mu and variance sigma^2 / n for large n, regardless of population shape", "tags": [ "quantitative-methods", "clt", "central-limit-theorem", "sampling-distribution", "standard-error", "inference", "cfa-level-1" ], "aliases": [ "clt", "central-limit", "sampling-distribution-mean", "standard-error-mean", "sample-mean-distribution", "large-sample-approximation" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/central-limit-theorem.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/central-limit-theorem.blueprint.yaml" }, { "feature": "cfa-code-of-ethics", "version": "1.0.0", "description": "State the CFA Institute Code of Ethics and its six principles, and describe the organization of the seven Standards of Professional Conduct they govern", "tags": [ "ethics", "cfa-code", "standards-of-conduct", "cfa-level-1" ], "aliases": [ "cfa-institute-code", "six-principles-code", "standards-of-professional-conduct", "code-and-standards-overview" ], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/cfa-code-of-ethics.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/cfa-code-of-ethics.blueprint.yaml" }, { "feature": "cfa-ethics-application-l3", "version": "1.0.0", "description": "Applied ethics for Level 3 — case study applications of CFA Standards and Asset Manager Code of Professional Conduct covering loyalty, investment process, trading, risk, performance, and disclosure", "tags": [ "ethics", "professional-conduct", "asset-manager-code", "applied-ethics", "fiduciary", "portfolio-ethics", "cfa-level-3" ], "aliases": [ "applied-cfa-ethics-l3", "asset-manager-code-l3", "ethics-case-applications-l3", "fiduciary-duty-portfolio-l3", "portfolio-ethics-disclosure-l3" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/cfa-ethics-application-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/cfa-ethics-application-l3.blueprint.yaml" }, { "feature": "cfa-ethics-standards-l2", "version": "1.0.0", "description": "Apply CFA ethics framework — Code of Ethics, Standards I-VII (professionalism, capital markets integrity, duties to clients/employers, investment analysis, conflicts, CFA designation)", "tags": [ "ethics", "professional-standards", "cfa-standards", "conflicts-of-interest", "fiduciary-duty", "cfa-level-2" ], "aliases": [ "cfa-code-of-ethics-l2", "standards-of-professional-conduct-l2", "standard-i-professionalism-l2", "standard-ii-integrity-capital-markets-l2", "standard-iii-duties-to-clients-l2", "standard-iv-duties-to-employers-l2", "standard-vii-cfa-designation-l2" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/cfa-ethics-standards-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/cfa-ethics-standards-l2.blueprint.yaml" }, { "feature": "cfa-ethics-standards-l3", "version": "1.0.0", "description": "CFA Code of Ethics and Standards of Professional Conduct I-VII — professionalism, integrity, duties to clients, employers, investment analysis, conflicts of interest, and responsibilities", "tags": [ "ethics", "professional-conduct", "cfa-standards", "fiduciary-duty", "conflicts-of-interest", "material-nonpublic-information", "cfa-level-3" ], "aliases": [ "cfa-code-of-ethics-l3", "standards-professional-conduct-l3", "standard-i-professionalism-l3", "standard-ii-integrity-markets-l3", "standard-iii-duties-clients-l3", "standard-iv-duties-employers-l3", "standard-v-investment-analysis-l3", "standard-vi-conflicts-interest-l3", "standard-vii-responsibilities-cfa-l3" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/cfa-ethics-standards-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/cfa-ethics-standards-l3.blueprint.yaml" }, { "feature": "chi-square-contingency-table", "version": "1.0.0", "description": "Test independence of two categorical variables using a chi-square contingency table — comparing observed joint frequencies against the frequencies expected under the null of independence", "tags": [ "quantitative-methods", "hypothesis-testing", "chi-square", "contingency-table", "independence-test", "categorical-data", "cfa-level-1" ], "aliases": [ "chi-square-independence", "contingency-table-test", "categorical-independence-test", "pearson-chi-square", "r-by-c-test", "two-way-chi-square" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/chi-square-contingency-table.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/chi-square-contingency-table.blueprint.yaml" }, { "feature": "client-connectivity-standards", "version": "1.0.0", "description": "Client connectivity standards, network security requirements, firewall rules, and handshake procedures for gateway access", "tags": [ "connectivity", "network-security", "firewall", "client-onboarding", "gateway-access" ], "aliases": [ "connectivity-standards", "network-connectivity-requirements", "client-onboarding-standards", "gateway-access-standards", "connectivity-security" ], "fitness": 77, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/client-connectivity-standards.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/client-connectivity-standards.blueprint.yaml" }, { "feature": "client-failure-recovery", "version": "1.0.0", "description": "Systematic procedures for detecting and recovering from client or gateway failures with message replay and order state resynchronization", "tags": [ "failure-recovery", "session-management", "message-replay" ], "aliases": [], "fitness": 64, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/client-failure-recovery.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/client-failure-recovery.blueprint.yaml" }, { "feature": "commodities-derivatives-l2", "version": "1.0.0", "description": "Analyse commodities and derivatives — sector characteristics, spot and futures pricing, theories of futures returns, roll return, contango and backwardation, commodity swaps, and indexes", "tags": [ "alternative-investments", "commodities", "futures", "roll-return", "contango", "backwardation", "cfa-level-2" ], "aliases": [ "commodity-sectors-l2", "commodity-futures-pricing", "roll-return-contango-backwardation", "commodity-spot-futures-parity", "theories-of-futures-returns", "commodity-swaps-l2", "commodity-index-construction" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/commodities-derivatives-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/commodities-derivatives-l2.blueprint.yaml" }, { "feature": "commodity-derivatives-eod-data-delivery", "version": "1.0.0", "description": "End-of-day commodity derivatives data delivery via FTP — fixed-width flat files covering daily statistics, mark-to-market, and reference rates", "tags": [ "market-data", "eod", "commodity-derivatives", "agricultural", "ftp", "dissemination", "fixed-width", "non-live" ], "aliases": [], "fitness": 66, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/commodity-derivatives-eod-data-delivery.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/commodity-derivatives-eod-data-delivery.blueprint.yaml" }, { "feature": "company-business-model-analysis", "version": "1.0.0", "description": "Characterise a company's business model, revenue drivers, pricing power, and cost structure to assess operating profitability and working-capital intensity", "tags": [ "equity", "business-model", "revenue-analysis", "operating-costs", "pricing-power", "cfa-level-1" ], "aliases": [ "revenue-drivers", "pricing-power-analysis", "top-down-revenue", "bottom-up-revenue", "fixed-variable-costs", "business-model-canvas" ], "fitness": 79, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/company-business-model-analysis.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/company-business-model-analysis.blueprint.yaml" }, { "feature": "company-forecasting-model", "version": "1.0.0", "description": "Forecast company financials — revenue, operating costs, working capital, capital investment — using top-down, bottom-up, and hybrid methods with scenario analysis", "tags": [ "equity", "forecasting", "scenario-analysis", "financial-modeling", "revenue-projection", "cfa-level-1" ], "aliases": [ "revenue-forecasting", "cost-forecasting", "forecast-horizon", "scenario-forecast", "hybrid-forecast", "capital-investment-forecast" ], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/company-forecasting-model.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/company-forecasting-model.blueprint.yaml" }, { "feature": "conformance-testing-guide", "version": "1.0.0", "description": "JSE trading and market data conformance testing including gateway failover, recovery service testing, and application compliance", "tags": [ "testing", "conformance", "validation", "trading", "market-data" ], "aliases": [], "fitness": 77, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/conformance-testing-guide.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/conformance-testing-guide.blueprint.yaml" }, { "feature": "connectivity-testing-lcon", "version": "1.0.0", "description": "JSE Live Connectivity Test (LCON) process for validating client infrastructure changes and trading enablements", "tags": [ "testing", "connectivity", "lcon", "validation", "trading", "conformance" ], "aliases": [], "fitness": 75, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/connectivity-testing-lcon.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/connectivity-testing-lcon.blueprint.yaml" }, { "feature": "contingent-claims-valuation-l2", "version": "1.0.0", "description": "Value contingent claims — binomial model (one- and two-period), BSM assumptions and formula, carry benefits, Black model for futures/swaptions, option Greeks, implied volatility", "tags": [ "derivatives", "options", "bsm", "binomial-model", "option-greeks", "implied-volatility", "cfa-level-2" ], "aliases": [ "black-scholes-merton-l2", "binomial-option-valuation-l2", "option-greeks-l2", "implied-volatility-l2", "black-model-futures-options", "swaption-valuation-l2", "delta-gamma-vega-theta" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/contingent-claims-valuation-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/contingent-claims-valuation-l2.blueprint.yaml" }, { "feature": "continuously-compounded-return", "version": "1.0.0", "description": "Compute the continuously compounded (log) return — preferred in quantitative finance for its additive properties over time", "tags": [ "quantitative-methods", "return-measures", "log-return", "continuous-compounding", "cfa-level-1" ], "aliases": [ "log-return", "ln-return", "continuous-return", "force-of-interest", "instantaneous-rate" ], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/continuously-compounded-return.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/continuously-compounded-return.blueprint.yaml" }, { "feature": "continuously-compounded-returns", "version": "1.0.0", "description": "Convert between holding-period and continuously compounded returns, leverage their additivity over time, and annualise volatility using the square-root-of-time rule", "tags": [ "quantitative-methods", "returns", "continuously-compounded", "log-returns", "volatility-scaling", "annualisation", "cfa-level-1" ], "aliases": [ "log-returns", "cc-returns", "continuous-compounding", "log-price-change", "volatility-annualisation", "sqrt-time-rule", "ln-returns-series" ], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/continuously-compounded-returns.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/continuously-compounded-returns.blueprint.yaml" }, { "feature": "corporate-capital-structure", "version": "1.0.0", "description": "Determine optimal capital structure using Modigliani-Miller propositions, static trade-off theory, and pecking order theory — balancing tax shield, bankruptcy costs, and signalling", "tags": [ "corporate-issuers", "capital-structure", "modigliani-miller", "wacc", "leverage", "tax-shield", "cfa-level-1" ], "aliases": [ "mm-propositions", "static-trade-off", "pecking-order", "optimal-leverage", "cost-of-capital", "debt-equity-mix" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/corporate-capital-structure.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/corporate-capital-structure.blueprint.yaml" }, { "feature": "corporate-governance-mechanisms", "version": "1.0.0", "description": "Catalog corporate governance mechanisms — reporting, voting, covenants, board oversight, regulation — and assess effectiveness in resolving stakeholder conflicts", "tags": [ "corporate-issuers", "governance", "board-oversight", "covenants", "shareholder-voting", "esg-governance", "cfa-level-1" ], "aliases": [ "governance-mechanisms", "board-of-directors", "shareholder-voting", "debt-covenants", "proxy-voting", "governance-risks" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/corporate-governance-mechanisms.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/corporate-governance-mechanisms.blueprint.yaml" }, { "feature": "corporate-organizational-forms", "version": "1.0.0", "description": "Classify business organizational forms — sole proprietorship, partnership, limited company — and assess liability, taxation, and access to external financing implications", "tags": [ "corporate-issuers", "organizational-form", "legal-entity", "sole-proprietorship", "partnership", "limited-company", "cfa-level-1" ], "aliases": [ "business-legal-form", "sole-proprietorship", "general-partnership", "limited-partnership", "limited-liability-company", "corporation-structure" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/corporate-organizational-forms.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/corporate-organizational-forms.blueprint.yaml" }, { "feature": "corporate-restructuring-l2", "version": "1.0.0", "description": "Evaluate corporate restructuring — corporate lifecycle and motivations, investment actions (equity, JV, acquisition), divestments (sale, spin-off, split-off, carve-out), and pro-forma WACC", "tags": [ "corporate-issuers", "restructuring", "mergers-acquisitions", "divestitures", "cfa-level-2" ], "aliases": [ "corporate-lifecycle-actions", "ma-evaluation-l2", "spin-off-split-off-carve-out", "pro-forma-wacc", "joint-venture-evaluation", "divestment-actions-cfa", "merger-pro-forma-valuation" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/corporate-restructuring-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/corporate-restructuring-l2.blueprint.yaml" }, { "feature": "corporate-stakeholders", "version": "1.0.0", "description": "Identify corporate stakeholders — shareholders, lenders, managers, employees, customers, suppliers, government — and analyse conflicts of interest between their claims", "tags": [ "corporate-issuers", "stakeholders", "shareholders", "creditors", "principal-agent", "conflicts-of-interest", "cfa-level-1" ], "aliases": [ "stakeholder-analysis", "debt-vs-equity-claims", "principal-agent", "shareholder-vs-bondholder", "stakeholder-conflicts", "corporate-claims" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/corporate-stakeholders.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/corporate-stakeholders.blueprint.yaml" }, { "feature": "correlation-significance-test", "version": "1.0.0", "description": "Test whether a population correlation coefficient differs from zero using the t-statistic for Pearson correlation or the analogous test for Spearman rank correlation", "tags": [ "quantitative-methods", "hypothesis-testing", "correlation", "pearson", "spearman", "rank-correlation", "cfa-level-1" ], "aliases": [ "pearson-correlation-test", "spearman-rank-test", "correlation-t-test", "rho-test", "rank-correlation-test", "correlation-significance" ], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/correlation-significance-test.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/correlation-significance-test.blueprint.yaml" }, { "feature": "cost-of-capital-advanced-l2", "version": "1.0.0", "description": "Estimate cost of capital — top-down and bottom-up factors, cost of debt, equity risk premium (historical vs forward), and cost of equity via DDM, BYPRP, and risk-based models", "tags": [ "corporate-issuers", "cost-of-capital", "erp", "cost-of-equity", "cost-of-debt", "cfa-level-2" ], "aliases": [ "erp-historical-forward-looking", "cost-of-equity-ddm-l2", "bond-yield-plus-risk-premium", "cost-of-debt-traded-bank-lease", "private-company-cost-of-equity", "international-cost-of-capital", "country-risk-premium" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/cost-of-capital-advanced-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/cost-of-capital-advanced-l2.blueprint.yaml" }, { "feature": "covariance-correlation", "version": "1.0.0", "description": "Compute covariance and the Pearson correlation coefficient between two variables — key measures of linear co-movement underpinning portfolio construction and diversification", "tags": [ "quantitative-methods", "descriptive-statistics", "covariance", "correlation", "pearson", "diversification", "portfolio-math", "cfa-level-1" ], "aliases": [ "covariance", "correlation", "pearson-correlation", "correlation-coefficient", "rho", "comovement", "association", "bivariate-statistic" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/covariance-correlation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/covariance-correlation.blueprint.yaml" }, { "feature": "credit-analysis-models-l2", "version": "1.0.0", "description": "Model credit risk — credit valuation adjustment, scores and ratings, structural and reduced-form models, credit spread analysis, and term structure of credit spreads", "tags": [ "fixed-income", "credit-risk", "cva", "structural-model", "reduced-form-model", "credit-spread", "cfa-level-2" ], "aliases": [ "credit-valuation-adjustment-l2", "structural-credit-models", "reduced-form-credit-models", "merton-model-credit", "credit-scores-ratings", "term-structure-credit-spreads", "probability-of-default-modelling" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/credit-analysis-models-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/credit-analysis-models-l2.blueprint.yaml" }, { "feature": "credit-cycles", "version": "1.0.0", "description": "Identify credit cycle phase using credit growth, lending standards, and spreads — and track how credit conditions amplify business cycles via leverage and asset prices", "tags": [ "economics", "macroeconomics", "credit-cycle", "leverage", "financial-conditions", "minsky", "cfa-level-1" ], "aliases": [ "credit-conditions", "financial-cycle", "lending-cycle", "leverage-cycle", "minsky-cycle", "credit-spreads-cycle" ], "fitness": 80, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/credit-cycles.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/credit-cycles.blueprint.yaml" }, { "feature": "credit-default-swaps-l2", "version": "1.0.0", "description": "Analyse credit default swaps — single-name and index CDS, mechanics, valuation (CDS spread vs credit curve), upfront payment, basis trades, and CDS uses in credit risk management", "tags": [ "fixed-income", "cds", "credit-derivatives", "basis-trade", "cdx", "itraxx", "cfa-level-2" ], "aliases": [ "single-name-cds-l2", "index-cds-cdx-itraxx", "cds-spread-valuation", "cds-upfront-payment", "basis-trade-cds-bond", "credit-event-isda", "cds-protection-buyer-seller" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/credit-default-swaps-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/credit-default-swaps-l2.blueprint.yaml" }, { "feature": "currency-derivatives-eod-data-delivery", "version": "1.0.0", "description": "End-of-day currency derivatives data delivery via FTP — fixed-width flat files covering daily statistics, MTM, rates, close-out, and risk parameters", "tags": [ "market-data", "eod", "currency-derivatives", "forex", "ftp", "dissemination", "fixed-width", "non-live", "mtm" ], "aliases": [], "fitness": 67, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/currency-derivatives-eod-data-delivery.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/currency-derivatives-eod-data-delivery.blueprint.yaml" }, { "feature": "currency-derivatives-trading", "version": "1.0.0", "description": "FX derivatives trading with forwards, swaps, options, close-out auctions", "tags": [ "derivatives", "fx", "currency" ], "aliases": [], "fitness": 69, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/currency-derivatives-trading.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/currency-derivatives-trading.blueprint.yaml" }, { "feature": "currency-exchange-equilibrium-l2", "version": "1.0.0", "description": "Determine FX equilibrium values via international parity conditions, carry trade, balance of payments flows, monetary models, and Mundell-Fleming", "tags": [ "economics", "fx", "international-parity", "carry-trade", "mundell-fleming", "cfa-level-2" ], "aliases": [ "international-parity-l2", "covered-uncovered-interest-rate-parity-l2", "purchasing-power-parity-l2", "fisher-effect-real-rate-parity", "carry-trade-strategy-l2", "mundell-fleming-model", "balance-of-payments-fx", "portfolio-balance-approach", "currency-crisis-warning-signs" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/currency-exchange-equilibrium-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/currency-exchange-equilibrium-l2.blueprint.yaml" }, { "feature": "currency-management-intro-l3", "version": "1.0.0", "description": "Currency risk management fundamentals — FX market structure, return decomposition, passive/discretionary/active hedging spectrum, and IPS currency policy", "tags": [ "portfolio-management", "currency-management", "fx-hedging", "currency-risk", "return-decomposition", "cfa-level-3" ], "aliases": [ "fx-risk-management-intro-l3", "currency-hedging-spectrum-l3", "fx-return-decomposition-l3", "passive-currency-hedging-l3", "discretionary-currency-hedging-l3", "currency-overlay-intro-l3" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/currency-management-intro-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/currency-management-intro-l3.blueprint.yaml" }, { "feature": "currency-management-program-l3", "version": "1.0.0", "description": "Active currency management strategies — fundamentals, technical, carry trade, volatility trading, forward/option instruments, exotic options, and EM currency management", "tags": [ "portfolio-management", "currency-management", "carry-trade", "currency-overlay", "fx-options", "emerging-market-currency", "cross-hedge", "cfa-level-3" ], "aliases": [ "active-currency-management-l3", "carry-trade-strategy-l3", "fx-option-strategies-l3", "currency-overlay-program-l3", "em-currency-management-l3", "cross-hedge-fx-l3", "minimum-variance-hedge-l3", "non-deliverable-forward-l3" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/currency-management-program-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/currency-management-program-l3.blueprint.yaml" }, { "feature": "cycle-indicators", "version": "1.0.0", "description": "Hilbert Transform cycle-analysis indicators that decompose price into dominant cycle period, phase, and trend/cycle mode using digital signal processing techniques", "tags": [ "technical-analysis", "cycle", "hilbert-transform", "dominant-cycle", "phasor", "sine-wave", "ta-lib", "indicators" ], "aliases": [ "hilbert-transform", "cycle-analysis", "ht-indicators", "dominant-cycle-indicators", "ta-lib-cycle" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/cycle-indicators.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/cycle-indicators.blueprint.yaml" }, { "feature": "data-science-processing", "version": "1.0.0", "description": "Execute the five stages of the data science pipeline — capture, curation, storage, analysis, and visualization — to transform raw big data into investment-ready insights", "tags": [ "quantitative-methods", "data-science", "data-pipeline", "data-curation", "visualization", "cfa-level-1" ], "aliases": [ "data-pipeline", "five-data-stages", "data-wrangling", "data-curation", "etl-pipeline", "data-visualization" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/data-science-processing.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/data-science-processing.blueprint.yaml" }, { "feature": "derivatives-arbitrage-replication", "version": "1.0.0", "description": "Apply the law of one price, arbitrage, and risk-neutral replication to price derivatives, and explain why identical payoffs must share a single price or arbitrage appears", "tags": [ "derivatives", "arbitrage", "law-of-one-price", "risk-neutral", "replication", "cfa-level-1" ], "aliases": [ "law-of-one-price", "no-arbitrage-derivative-pricing", "risk-neutral-probability-deriv", "derivative-replicating-portfolio", "hedge-portfolio", "synthetic-instrument" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/derivatives-arbitrage-replication.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/derivatives-arbitrage-replication.blueprint.yaml" }, { "feature": "derivatives-instrument-features", "version": "1.0.0", "description": "Classify derivative instruments by underlying, venue (exchange vs OTC), settlement (physical vs cash), and contract standardisation, and distinguish forward commitments from contingent claims", "tags": [ "derivatives", "forward-commitment", "contingent-claim", "otc", "exchange-traded", "cfa-level-1" ], "aliases": [ "derivative-features", "forward-commitment", "contingent-claim", "otc-derivative", "exchange-traded-derivative", "derivative-underlying" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/derivatives-instrument-features.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/derivatives-instrument-features.blueprint.yaml" }, { "feature": "derivatives-market-data", "version": "1.0.0", "description": "Non-live market data products for derivatives (equity derivatives, commodity derivatives, currency derivatives, interest-rate derivatives)", "tags": [ "derivatives", "market-data", "non-live", "eod-data", "options-futures" ], "aliases": [ "derivatives-nlmd-data", "derivatives-reference-data", "options-futures-data", "derivatives-eod-feed", "derivatives-market-feed" ], "fitness": 64, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/derivatives-market-data.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/derivatives-market-data.blueprint.yaml" }, { "feature": "derivatives-market-overview", "version": "1.0.0", "description": "Derivatives trading market infrastructure, sessions, settlement, and conformance", "tags": [ "derivatives", "market-structure", "regulatory" ], "aliases": [], "fitness": 71, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/derivatives-market-overview.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/derivatives-market-overview.blueprint.yaml" }, { "feature": "derivatives-uses-risks", "version": "1.0.0", "description": "Catalogue derivative benefits and risks for issuers and investors — hedging, speculation, cost-efficiency, leverage, counterparty risk, operational and legal risks", "tags": [ "derivatives", "hedging", "speculation", "counterparty-risk", "leverage", "cfa-level-1" ], "aliases": [ "derivative-hedging", "derivative-speculation", "derivative-counterparty-risk", "derivative-leverage", "derivative-legal-risk", "issuer-investor-uses" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/derivatives-uses-risks.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/derivatives-uses-risks.blueprint.yaml" }, { "feature": "digital-assets-investments", "version": "1.0.0", "description": "Evaluate digital assets on distributed ledgers using proof-of-work or proof-of-stake consensus — crypto, tokens, stablecoins, NFTs — and their investment features", "tags": [ "digital-assets", "cryptocurrency", "distributed-ledger", "proof-of-work", "proof-of-stake", "cfa-level-1" ], "aliases": [ "cryptocurrency-investment", "distributed-ledger-technology", "proof-of-work-consensus", "proof-of-stake-consensus", "stablecoin-investment", "tokenized-asset", "nft-investment" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/digital-assets-investments.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/digital-assets-investments.blueprint.yaml" }, { "feature": "directional-movement-indicators", "version": "1.0.0", "description": "A suite of directional movement and trend confirmation indicators for measuring trend strength, identifying trend direction, and generating trailing stop levels via Parabolic SAR", "tags": [ "technical-analysis", "directional-movement", "adx", "aroon", "parabolic-sar", "trend-strength", "ta-lib" ], "aliases": [ "directional-movement", "adx-indicators", "trend-strength-indicators", "adx-aroon-sar", "ta-lib-directional", "wilder-directional-movement" ], "fitness": 78, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/directional-movement-indicators.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/directional-movement-indicators.blueprint.yaml" }, { "feature": "discounted-dividend-valuation-l2", "version": "1.0.0", "description": "Value equity via discounted dividends — Gordon Growth, two-stage and three-stage DDM, H-model, spreadsheet modelling, sustainable growth rate, and PRAT decomposition", "tags": [ "equity-valuation", "ddm", "gordon-growth", "h-model", "sustainable-growth", "prat", "cfa-level-2" ], "aliases": [ "gordon-growth-model-l2", "two-stage-ddm", "three-stage-ddm", "h-model-ddm", "sustainable-growth-rate-prat", "spreadsheet-ddm-modelling", "present-value-of-growth-opportunities" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/discounted-dividend-valuation-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/discounted-dividend-valuation-l2.blueprint.yaml" }, { "feature": "dividends-share-repurchases-l2", "version": "1.0.0", "description": "Analyse dividends and share repurchases — theories, payout policies, repurchase methods, EPS and book-value effects, dividend safety and coverage ratios", "tags": [ "corporate-issuers", "dividends", "repurchases", "payout-policy", "dividend-safety", "cfa-level-2" ], "aliases": [ "dividend-theories-l2", "stable-dividend-policy", "constant-payout-ratio", "share-repurchase-methods", "double-taxation-dividend-imputation", "dividend-safety-coverage", "effective-tax-rate-dividends" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/dividends-share-repurchases-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/dividends-share-repurchases-l2.blueprint.yaml" }, { "feature": "drop-copy-gateway-fix", "version": "1.0.0", "description": "Drop Copy Gateway providing FIX 5.0 SP2 protocol for near-real-time trade stream dissemination", "tags": [ "fix-protocol", "drop-copy", "trade-dissemination" ], "aliases": [], "fitness": 58, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/drop-copy-gateway-fix.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/drop-copy-gateway-fix.blueprint.yaml" }, { "feature": "economic-growth-l2", "version": "1.0.0", "description": "Analyse drivers of economic growth — production function, growth accounting, capital deepening vs technology, classical/neoclassical/endogenous growth theories, convergence", "tags": [ "economics", "growth", "production-function", "solow-model", "convergence", "cfa-level-2" ], "aliases": [ "solow-growth-model", "production-function-growth-l2", "capital-deepening", "growth-accounting-cfa", "endogenous-growth-theory", "convergence-hypothesis", "total-factor-productivity" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/economic-growth-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/economic-growth-l2.blueprint.yaml" }, { "feature": "economic-indicators", "version": "1.0.0", "description": "Classify and interpret leading, coincident, and lagging economic indicators — including composite indices and nowcasting — to track and forecast the business cycle", "tags": [ "economics", "macroeconomics", "leading-indicators", "coincident-indicators", "lagging-indicators", "nowcasting", "cfa-level-1" ], "aliases": [ "leading-indicators", "coincident-indicators", "lagging-indicators", "composite-index", "nowcasting", "gdpnow" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/economic-indicators.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/economic-indicators.blueprint.yaml" }, { "feature": "economics-investment-markets-l2", "version": "1.0.0", "description": "Link economics to investment markets — PV model, real default-free rates, business cycle effects on yield curve, credit premium, equity risk premium, and commercial real estate pricing", "tags": [ "portfolio-management", "economics", "business-cycle", "yield-curve", "erp", "credit-premium", "cfa-level-2" ], "aliases": [ "business-cycle-asset-pricing", "real-default-free-interest-rates", "break-even-inflation-rates", "credit-premium-business-cycle", "equity-risk-premium-macro", "term-spread-business-cycle", "commercial-real-estate-pricing-macro" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/economics-investment-markets-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/economics-investment-markets-l2.blueprint.yaml" }, { "feature": "economics-of-regulation-l2", "version": "1.0.0", "description": "Analyse rationale, classifications, costs and benefits of regulation across financial markets, antitrust, prudential, and disclosure regimes", "tags": [ "economics", "regulation", "market-failure", "prudential", "disclosure", "cfa-level-2" ], "aliases": [ "regulation-rationale-l2", "regulatory-tools-classification", "cost-benefit-regulation", "prudential-regulation-cfa", "antitrust-regulation", "disclosure-regulation-cfa", "regulatory-capture-risk" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/economics-of-regulation-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/economics-of-regulation-l2.blueprint.yaml" }, { "feature": "employee-compensation-l2", "version": "1.0.0", "description": "Report post-employment benefits (DB and DC pensions) and share-based compensation (restricted stock, stock options) — measure expense, obligation, and disclosures", "tags": [ "fsa", "pensions", "share-based-compensation", "db-plans", "dc-plans", "cfa-level-2" ], "aliases": [ "db-pension-accounting", "dc-pension-accounting", "stock-option-expense-l2", "restricted-stock-awards", "pbo-abo-pension", "pension-disclosures-ifrs-gaap", "share-based-compensation-modeling" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/employee-compensation-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/employee-compensation-l2.blueprint.yaml" }, { "feature": "enterprise-value-asset-based", "version": "1.0.0", "description": "Value firms using enterprise-value multiples (EV/EBITDA, EV/Sales, EV/Invested Capital) and asset-based methods, including when each is appropriate", "tags": [ "equity", "valuation", "enterprise-value", "ev-ebitda", "asset-based", "cfa-level-1" ], "aliases": [ "enterprise-value-multiple", "ev-ebitda", "ev-sales", "asset-based-valuation", "liquidation-value", "replacement-cost" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/enterprise-value-asset-based.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/enterprise-value-asset-based.blueprint.yaml" }, { "feature": "equities-eod-data-delivery", "version": "1.0.0", "description": "End-of-day equity market data delivery via FTP file dissemination — fixed-width flat files covering daily, weekly, and monthly statistics and corporate actions for listed securities", "tags": [ "market-data", "eod", "equities", "ftp", "dissemination", "fixed-width", "non-live", "corporate-actions" ], "aliases": [], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/equities-eod-data-delivery.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/equities-eod-data-delivery.blueprint.yaml" }, { "feature": "equity-derivatives-eod-data-delivery", "version": "1.0.0", "description": "End-of-day equity derivatives data delivery via FTP — fixed-width flat files covering daily/weekly/monthly statistics, MTM, rates, and risk parameters", "tags": [ "market-data", "eod", "equity-derivatives", "ftp", "dissemination", "fixed-width", "non-live", "mtm", "risk-parameters" ], "aliases": [], "fitness": 68, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/equity-derivatives-eod-data-delivery.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/equity-derivatives-eod-data-delivery.blueprint.yaml" }, { "feature": "equity-market-trading-overview", "version": "1.0.0", "description": "Equity market structure, participants, trading sessions, order settlement, risk management, and circuit breaker rules for spot equity trading.\n", "tags": [ "equity", "market-operations", "settlement", "risk-management", "circuit-breakers" ], "aliases": [ "spot-equity-trading", "market-structure", "equity-trading-rules", "settlement-operations", "market-conformance", "trading-sessions", "participant-types", "equity-risk-management" ], "fitness": 80, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/equity-market-trading-overview.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/equity-market-trading-overview.blueprint.yaml" }, { "feature": "equity-portfolio-management-overview-l3", "version": "1.0.0", "description": "Equity portfolio management overview — roles of equities, universe segmentation, income, costs, shareholder engagement, and active vs passive spectrum", "tags": [ "portfolio-management", "equity", "equity-portfolio", "shareholder-engagement", "passive-active-spectrum", "equity-universe", "cfa-level-3" ], "aliases": [ "equity-portfolio-overview-l3", "equity-universe-segmentation-l3", "shareholder-engagement-equity-l3", "passive-active-equity-spectrum-l3", "equity-income-costs-l3" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/equity-portfolio-management-overview-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/equity-portfolio-management-overview-l3.blueprint.yaml" }, { "feature": "equity-present-value", "version": "1.0.0", "description": "Compute the present value of an equity instrument via the Dividend Discount Model — supporting no-growth, constant growth (Gordon), and multi-stage (changing growth) variants", "tags": [ "quantitative-methods", "time-value-of-money", "equity", "ddm", "gordon-growth", "dividend-discount-model", "cfa-level-1" ], "aliases": [ "ddm", "dividend-discount-model", "gordon-growth-model", "stock-pv", "equity-valuation", "stock-intrinsic-value", "multi-stage-ddm" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/equity-present-value.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/equity-present-value.blueprint.yaml" }, { "feature": "equity-return-roe", "version": "1.0.0", "description": "Compute accounting return on equity and cost of equity, decompose ROE using DuPont analysis, and reconcile book value with intrinsic equity value", "tags": [ "equity", "roe", "cost-of-equity", "dupont", "intrinsic-value", "cfa-level-1" ], "aliases": [ "return-on-equity", "accounting-roe", "cost-of-common-equity", "roe-dupont", "book-value-equity", "required-return-equity" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/equity-return-roe.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/equity-return-roe.blueprint.yaml" }, { "feature": "equity-securities-types", "version": "1.0.0", "description": "Classify common and preferred equity variants — voting, participating, cumulative, convertible, callable, putable — and capture their cash-flow and control rights", "tags": [ "equity", "common-stock", "preferred-stock", "convertible", "shareholder-rights", "cfa-level-1" ], "aliases": [ "common-shares", "preferred-shares", "cumulative-preferred", "participating-preferred", "convertible-preferred", "callable-preferred" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/equity-securities-types.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/equity-securities-types.blueprint.yaml" }, { "feature": "equity-valuation-applications-l2", "version": "1.0.0", "description": "Apply equity valuation — value definitions (intrinsic, going-concern, liquidation, fair), applications (stock selection, M&A, IPO, fairness opinions), model selection, and research report structure", "tags": [ "equity-valuation", "intrinsic-value", "valuation-applications", "research-report", "cfa-level-2" ], "aliases": [ "intrinsic-value-l2", "going-concern-liquidation-value", "valuation-model-selection", "equity-research-report-structure", "fairness-opinion-valuation", "m-and-a-valuation-applications", "ipo-valuation-applications" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/equity-valuation-applications-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/equity-valuation-applications-l2.blueprint.yaml" }, { "feature": "equity-valuation-ddm", "version": "1.0.0", "description": "Value equity with dividend discount models — single-stage Gordon growth, two-stage, three-stage, H-model — and determine when each fits a firm's growth pattern", "tags": [ "equity", "valuation", "ddm", "gordon-growth", "multistage", "cfa-level-1" ], "aliases": [ "ddm-valuation-variants", "gordon-growth-valuation", "multistage-dividend-model", "two-stage-ddm-valuation", "h-model-valuation", "fcfe-valuation" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/equity-valuation-ddm.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/equity-valuation-ddm.blueprint.yaml" }, { "feature": "equity-valuation-multiples", "version": "1.0.0", "description": "Value equity with price multiples — P/E, P/B, P/S, P/CF — using method of comparables and reconcile multiples with present-value fundamentals", "tags": [ "equity", "valuation", "price-multiples", "comparables", "pe-ratio", "cfa-level-1" ], "aliases": [ "price-earnings-ratio", "price-book-ratio", "price-sales-ratio", "price-cashflow-ratio", "method-of-comparables", "justified-multiple" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/equity-valuation-multiples.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/equity-valuation-multiples.blueprint.yaml" }, { "feature": "esg-investment-analysis-l2", "version": "1.0.0", "description": "Evaluate ESG considerations — ownership structures, board practices, remuneration, voting rights, material ESG risks and opportunities, and integration into investment analysis", "tags": [ "corporate-issuers", "esg", "governance", "stewardship", "materiality", "cfa-level-2" ], "aliases": [ "esg-integration-l2", "corporate-governance-esg", "ownership-structure-effects", "board-policies-practices", "executive-remuneration-esg", "esg-materiality-horizon", "dispersed-concentrated-ownership" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/esg-investment-analysis-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/esg-investment-analysis-l2.blueprint.yaml" }, { "feature": "etf-mechanics-applications-l2", "version": "1.0.0", "description": "Evaluate ETF mechanics and portfolio applications — creation/redemption, tracking error, expense ratios, tax efficiency, trading costs, and ETF strategies for efficient portfolio management", "tags": [ "portfolio-management", "etf", "tracking-error", "creation-redemption", "index-tracking", "cfa-level-2" ], "aliases": [ "etf-creation-redemption", "etf-tracking-error-l2", "etf-trading-costs-l2", "etf-portfolio-management", "etf-vs-mutual-fund", "etf-tax-efficiency", "authorized-participant-mechanism" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/etf-mechanics-applications-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/etf-mechanics-applications-l2.blueprint.yaml" }, { "feature": "ethical-decision-making-framework", "version": "1.0.0", "description": "Apply a structured ethical decision-making framework to investment situations — identify facts, stakeholders, conflicts, ethical principles, options, and the final decision with rationale", "tags": [ "ethics", "decision-framework", "stakeholders", "cfa-level-1" ], "aliases": [ "ethics-decision-framework", "edmf-cfa", "stakeholder-analysis-ethics", "ethical-options-evaluation", "decision-rationale-ethics" ], "fitness": 67, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/ethical-decision-making-framework.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/ethical-decision-making-framework.blueprint.yaml" }, { "feature": "ethics-framework-investment", "version": "1.0.0", "description": "Explain the role of ethics in the investment profession, trust and client well-being, differences between ethical conduct and legal conduct, and challenges to ethical behaviour", "tags": [ "ethics", "investment-profession", "trust", "fiduciary", "cfa-level-1" ], "aliases": [ "investment-ethics-overview", "ethics-vs-legal", "client-trust", "fiduciary-ethical-duty", "professional-ethics-investment" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/ethics-framework-investment.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/ethics-framework-investment.blueprint.yaml" }, { "feature": "exchange-rate-regimes", "version": "1.0.0", "description": "Classify FX regimes along the IMF spectrum — dollarization, currency board, fixed peg, crawling peg, managed float, free float — and trace their monetary policy implications", "tags": [ "economics", "foreign-exchange", "exchange-rate-regime", "currency-board", "fixed-peg", "floating-rate", "cfa-level-1" ], "aliases": [ "fx-regime", "currency-regime", "fixed-exchange-rate", "floating-exchange-rate", "currency-board", "crawling-peg" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/exchange-rate-regimes.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/exchange-rate-regimes.blueprint.yaml" }, { "feature": "expected-value-variance", "version": "1.0.0", "description": "Compute the expected value, variance, and standard deviation of a discrete random variable — probability-weighted summaries used in forecasting and risk measurement", "tags": [ "quantitative-methods", "probability", "expected-value", "variance", "random-variable", "forecasting", "cfa-level-1" ], "aliases": [ "expected-value", "ev", "expectation", "variance-of-rv", "standard-deviation-rv", "discrete-random-variable", "probability-weighted-mean" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/expected-value-variance.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/expected-value-variance.blueprint.yaml" }, { "feature": "farmland-timberland-investments", "version": "1.0.0", "description": "Invest in farmland and timberland for combined income from crop/lumber sales and land appreciation, with biological growth providing optionality on harvest timing", "tags": [ "natural-resources", "farmland", "timberland", "real-assets", "biological-growth", "cfa-level-1" ], "aliases": [ "timberland-investment", "farmland-investment", "biological-asset", "raw-land-investment", "agricultural-land", "timber-harvest-option" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/farmland-timberland-investments.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/farmland-timberland-investments.blueprint.yaml" }, { "feature": "fi-active-credit-strategies-l3", "version": "1.0.0", "description": "Active credit fixed-income strategies — bottom-up/top-down/factor credit, liquidity and tail risk, synthetic credit, spread curve strategies, global credit, and structured credit", "tags": [ "portfolio-management", "fixed-income", "credit-strategies", "credit-spread", "high-yield", "cds", "structured-credit", "factor-credit", "cfa-level-3" ], "aliases": [ "credit-bond-strategies-l3", "bottom-up-credit-l3", "top-down-credit-l3", "factor-credit-strategies-l3", "credit-spread-curve-l3", "synthetic-credit-cds-l3", "structured-credit-l3", "global-credit-strategies-l3", "credit-tail-risk-l3" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fi-active-credit-strategies-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fi-active-credit-strategies-l3.blueprint.yaml" }, { "feature": "financial-institutions-analysis-l2", "version": "1.0.0", "description": "Analyse banks via CAMELS framework and insurance (P&C, life/health) specifics — capital adequacy, asset quality, earnings, liquidity, market-risk sensitivity", "tags": [ "fsa", "financial-institutions", "camels", "banks", "insurance", "cfa-level-2" ], "aliases": [ "camels-bank-analysis", "bank-capital-adequacy-basel", "bank-asset-quality-npls", "insurance-analysis-pc", "insurance-analysis-life-health", "bank-liquidity-lcr-nsfr", "bank-sensitivity-market-risk" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/financial-institutions-analysis-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/financial-institutions-analysis-l2.blueprint.yaml" }, { "feature": "financial-markets-functions", "version": "1.0.0", "description": "Classify financial market functions, asset types, and intermediaries that connect savers to borrowers, transfer risk, and facilitate price discovery", "tags": [ "equity", "market-structure", "intermediaries", "asset-classes", "cfa-level-1" ], "aliases": [ "market-functions", "financial-intermediaries", "asset-classification", "market-participants-roles", "savers-borrowers", "price-discovery-function" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/financial-markets-functions.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/financial-markets-functions.blueprint.yaml" }, { "feature": "financial-report-quality-l2", "version": "1.0.0", "description": "Evaluate quality of financial reports — Beneish M-score, Altman Z-score, accrual-based earnings quality, cash-flow quality, and warning signs of misreporting", "tags": [ "fsa", "report-quality", "beneish", "altman", "earnings-quality", "cfa-level-2" ], "aliases": [ "beneish-m-score-l2", "altman-z-score-l2", "earnings-persistence-accruals", "cash-flow-quality-indicators", "balance-sheet-quality", "bankruptcy-prediction-models", "revenue-recognition-cases" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/financial-report-quality-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/financial-report-quality-l2.blueprint.yaml" }, { "feature": "financial-reporting-quality", "version": "1.0.0", "description": "Assess financial reporting quality along a spectrum from high quality to outright fraud using the quality-of-earnings and quality-of-reporting lens", "tags": [ "financial-statement-analysis", "reporting-quality", "earnings-quality", "aggressive-accounting", "fraud-risk", "beneish", "cfa-level-1" ], "aliases": [ "earnings-quality", "quality-of-reporting", "aggressive-accounting", "conservative-accounting", "beneish-m-score", "red-flags" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/financial-reporting-quality.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/financial-reporting-quality.blueprint.yaml" }, { "feature": "financial-statement-modeling-l2", "version": "1.0.0", "description": "Build a three-statement financial model — revenue forecast, operating and non-operating cost build-up, pro forma income statement, cash flow and balance sheet, behavioural-bias checks", "tags": [ "fsa", "financial-model", "three-statement", "forecasting", "behavioural-bias", "cfa-level-2" ], "aliases": [ "three-statement-model", "revenue-forecast-l2", "cogs-sga-modeling", "pro-forma-financials", "behavioural-bias-forecasts", "working-capital-forecast", "capex-depreciation-forecast" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/financial-statement-modeling-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/financial-statement-modeling-l2.blueprint.yaml" }, { "feature": "fintech-investment-analysis", "version": "1.0.0", "description": "Apply fintech tools — text analytics, natural language processing, robo-advisers, risk analysis, and algorithmic trading — in the quantitative investment process", "tags": [ "quantitative-methods", "fintech", "text-analytics", "nlp", "robo-advisor", "algorithmic-trading", "cfa-level-1" ], "aliases": [ "fintech-applications", "text-analytics-investment", "nlp-finance", "robo-advisor", "algo-trading-fintech", "alternative-data-investment" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fintech-investment-analysis.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fintech-investment-analysis.blueprint.yaml" }, { "feature": "fiscal-deficits-debt", "version": "1.0.0", "description": "Measure government deficits and national debt — distinguishing cyclical from structural components — and evaluate sustainability using debt-to-GDP dynamics and interest burden", "tags": [ "economics", "macroeconomics", "fiscal-deficit", "national-debt", "debt-sustainability", "structural-balance", "cfa-level-1" ], "aliases": [ "budget-deficit", "national-debt", "structural-deficit", "debt-to-gdp", "debt-sustainability", "sovereign-fiscal-health" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fiscal-deficits-debt.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fiscal-deficits-debt.blueprint.yaml" }, { "feature": "fiscal-implementation-challenges", "version": "1.0.0", "description": "Identify practical constraints on fiscal policy — recognition, legislative, and impact lags, political economy, and crowding-out effects — that limit its effectiveness", "tags": [ "economics", "macroeconomics", "fiscal-lags", "political-economy", "crowding-out", "fiscal-limits", "cfa-level-1" ], "aliases": [ "fiscal-policy-lags", "recognition-lag", "action-lag", "impact-lag", "crowding-out", "political-business-cycle" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fiscal-implementation-challenges.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fiscal-implementation-challenges.blueprint.yaml" }, { "feature": "fiscal-multiplier", "version": "1.0.0", "description": "Estimate the impact of changes in government spending or taxes on aggregate output using the simple Keynesian multiplier and the balanced-budget multiplier", "tags": [ "economics", "macroeconomics", "fiscal-multiplier", "mpc", "balanced-budget", "keynesian", "cfa-level-1" ], "aliases": [ "keynesian-multiplier", "balanced-budget-multiplier", "spending-multiplier", "tax-multiplier", "marginal-propensity-to-consume", "mpc-mps" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fiscal-multiplier.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fiscal-multiplier.blueprint.yaml" }, { "feature": "fiscal-policy-framework", "version": "1.0.0", "description": "Use government spending and taxation as a fiscal policy instrument — including discretionary and automatic stabilisers — to influence aggregate demand, employment, and inflation", "tags": [ "economics", "macroeconomics", "fiscal-policy", "government-spending", "taxation", "automatic-stabilisers", "cfa-level-1" ], "aliases": [ "government-fiscal-instruments", "discretionary-fiscal-policy", "automatic-stabilisers", "fiscal-stance", "keynesian-fiscal", "counter-cyclical-fiscal" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fiscal-policy-framework.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fiscal-policy-framework.blueprint.yaml" }, { "feature": "fix-message-building", "version": "1.0.0", "description": "Constructs, parses, and serializes FIX protocol messages with header, body, and trailer sections; supports repeating field groups and multi-version validation", "tags": [ "fix-protocol", "message-parsing", "financial-messaging", "field-map", "repeating-groups" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fix-message-building.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fix-message-building.blueprint.yaml" }, { "feature": "fix-protocol-validation", "version": "1.0.0", "description": "Validates FIX messages against version-specific DataDictionary specifications; enforces field presence, type correctness, value ranges, repeating group structure, and message completeness", "tags": [ "fix-protocol", "validation", "data-dictionary", "field-validation", "financial-messaging" ], "aliases": [], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fix-protocol-validation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fix-protocol-validation.blueprint.yaml" }, { "feature": "fix-session-management", "version": "1.0.0", "description": "Manages stateful FIX protocol sessions including logon/logout lifecycle, heartbeat monitoring, sequence number integrity, and time-window enforcement", "tags": [ "fix-protocol", "session", "heartbeat", "sequence-numbers", "financial-messaging" ], "aliases": [], "fitness": 88, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fix-session-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fix-session-management.blueprint.yaml" }, { "feature": "fixed-income-bond-features", "version": "1.0.0", "description": "Classify bond indenture terms — issuer, maturity, coupon, seniority, collateral, covenants — and describe how contractual features drive cash flow and credit risk", "tags": [ "fixed-income", "bond-features", "indenture", "covenants", "seniority", "cfa-level-1" ], "aliases": [ "bond-indenture", "bond-covenants-fi", "bond-seniority", "coupon-types", "bond-issuer", "bond-maturity" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fixed-income-bond-features.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fixed-income-bond-features.blueprint.yaml" }, { "feature": "fixed-income-bond-pricing", "version": "1.0.0", "description": "Price bonds using discounted cash flow with spot or constant-yield discounting, reconcile full (dirty) vs flat (clean) price via accrued interest, and explain price-yield relationships", "tags": [ "fixed-income", "bond-pricing", "present-value", "accrued-interest", "clean-dirty-price", "cfa-level-1" ], "aliases": [ "bond-pricing-cfa", "present-value-bond", "flat-price", "full-price", "accrued-interest", "price-yield-relationship" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fixed-income-bond-pricing.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fixed-income-bond-pricing.blueprint.yaml" }, { "feature": "fixed-income-cash-flow-structures", "version": "1.0.0", "description": "Characterise fixed-income cash flow patterns — bullet, amortising, sinking fund, step-up, floating, PIK, contingent — and compute principal and interest schedules", "tags": [ "fixed-income", "cash-flow-structure", "amortising", "sinking-fund", "floating-rate", "cfa-level-1" ], "aliases": [ "bullet-bond", "amortising-bond", "sinking-fund-bond", "floating-rate-note", "pik-bond", "inflation-linked-bond" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fixed-income-cash-flow-structures.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fixed-income-cash-flow-structures.blueprint.yaml" }, { "feature": "fixed-income-convexity-measures", "version": "1.0.0", "description": "Compute convexity and effective convexity, apply second-order corrections to duration-based price estimates, and distinguish positive from negative convexity regimes", "tags": [ "fixed-income", "convexity", "effective-convexity", "negative-convexity", "mbs", "cfa-level-1" ], "aliases": [ "bond-convexity", "effective-convexity", "negative-convexity", "duration-convexity-approximation", "mbs-convexity", "callable-convexity" ], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fixed-income-convexity-measures.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fixed-income-convexity-measures.blueprint.yaml" }, { "feature": "fixed-income-credit-analysis", "version": "1.0.0", "description": "Assess issuer credit quality using the four Cs (capacity, collateral, covenants, character), credit ratios, and rating agency frameworks for investment-grade and high-yield corporates", "tags": [ "fixed-income", "credit-analysis", "ratings", "four-cs", "covenants", "cfa-level-1" ], "aliases": [ "four-cs-credit", "credit-ratings", "credit-ratios", "corporate-credit-analysis", "high-yield-credit", "investment-grade-credit" ], "fitness": 78, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fixed-income-credit-analysis.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fixed-income-credit-analysis.blueprint.yaml" }, { "feature": "fixed-income-credit-risk-spreads", "version": "1.0.0", "description": "Quantify credit risk via probability of default, loss given default, and expected loss, and decompose credit spreads into default, liquidity, and risk-premium components", "tags": [ "fixed-income", "credit-risk", "probability-of-default", "loss-given-default", "credit-spread", "cfa-level-1" ], "aliases": [ "probability-of-default", "loss-given-default", "expected-loss", "credit-spread-decomposition", "credit-migration", "credit-cycle" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fixed-income-credit-risk-spreads.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fixed-income-credit-risk-spreads.blueprint.yaml" }, { "feature": "fixed-income-duration-measures", "version": "1.0.0", "description": "Compute Macaulay, modified, effective, money, and price-value-of-a-basis-point measures of bond interest-rate risk and choose the appropriate measure per instrument", "tags": [ "fixed-income", "duration", "macaulay", "modified-duration", "effective-duration", "pvbp", "cfa-level-1" ], "aliases": [ "macaulay-duration", "modified-duration", "effective-duration", "money-duration", "price-value-basis-point", "dollar-duration" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fixed-income-duration-measures.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fixed-income-duration-measures.blueprint.yaml" }, { "feature": "fixed-income-issuance-trading", "version": "1.0.0", "description": "Classify fixed-income primary issuance mechanisms (auction, syndicated, best-efforts, private placement) and secondary trading structures (OTC dealer, electronic, dark)", "tags": [ "fixed-income", "bond-issuance", "primary-market", "dealer-market", "auction", "cfa-level-1" ], "aliases": [ "bond-auction", "syndicated-offering-fi", "bond-primary-market", "bond-secondary-market", "dealer-quotation", "bond-private-placement" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fixed-income-issuance-trading.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fixed-income-issuance-trading.blueprint.yaml" }, { "feature": "fixed-income-key-rate-duration", "version": "1.0.0", "description": "Measure bond and portfolio sensitivity to non-parallel curve shifts using key-rate durations, steepener/flattener, and butterfly trades", "tags": [ "fixed-income", "key-rate-duration", "curve-risk", "steepener", "butterfly", "cfa-level-1" ], "aliases": [ "partial-duration", "curve-risk-measures", "steepener-flattener", "butterfly-trade", "principal-components-curve", "level-slope-curvature" ], "fitness": 78, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fixed-income-key-rate-duration.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fixed-income-key-rate-duration.blueprint.yaml" }, { "feature": "fixed-income-market-segments", "version": "1.0.0", "description": "Map fixed-income market segments — sovereign, supranational, agency, corporate IG/HY, municipal, structured, emerging market — by currency, maturity, and credit characteristics", "tags": [ "fixed-income", "market-segments", "sovereign-bonds", "corporate-bonds", "high-yield", "cfa-level-1" ], "aliases": [ "sovereign-bond-market", "corporate-bond-market", "high-yield-market", "investment-grade-market", "emerging-market-debt", "municipal-bond" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fixed-income-market-segments.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fixed-income-market-segments.blueprint.yaml" }, { "feature": "fixed-income-mbs-abs", "version": "1.0.0", "description": "Analyse residential and commercial mortgage-backed securities, CMOs, and asset-backed securities including prepayment risk, extension risk, and tranche economics", "tags": [ "fixed-income", "mbs", "rmbs", "cmbs", "cmo", "abs", "prepayment-risk", "cfa-level-1" ], "aliases": [ "residential-mbs", "commercial-mbs", "collateralised-mortgage-obligation", "asset-backed-security", "prepayment-risk", "extension-risk" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fixed-income-mbs-abs.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fixed-income-mbs-abs.blueprint.yaml" }, { "feature": "fixed-income-portfolio-management-l3", "version": "1.0.0", "description": "Fixed-income portfolio management overview — roles of FI, mandate types, portfolio measures, liquidity, return decomposition, leverage, and taxation", "tags": [ "portfolio-management", "fixed-income", "bond-portfolio", "duration", "spread-risk", "leverage", "fi-mandates", "return-decomposition", "cfa-level-3" ], "aliases": [ "fi-portfolio-overview-l3", "bond-portfolio-management-l3", "fixed-income-mandates-l3", "fi-return-decomposition-l3", "bond-portfolio-leverage-l3", "fi-portfolio-measures-l3", "bond-liquidity-management-l3" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fixed-income-portfolio-management-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fixed-income-portfolio-management-l3.blueprint.yaml" }, { "feature": "fixed-income-present-value", "version": "1.0.0", "description": "Compute the present value of a fixed-income instrument (discount bond, coupon bond, level-payment/annuity loan) given its promised cash flows and market discount rate", "tags": [ "quantitative-methods", "time-value-of-money", "fixed-income", "bond-pricing", "present-value", "cfa-level-1" ], "aliases": [ "bond-pv", "bond-price", "discount-bond-pv", "coupon-bond-pv", "level-payment-pv", "annuity-pv", "zero-coupon-pv", "bond-present-value" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fixed-income-present-value.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fixed-income-present-value.blueprint.yaml" }, { "feature": "fixed-income-securitization", "version": "1.0.0", "description": "Describe the securitization process — pool formation, SPE issuance, tranching, credit enhancement, waterfalls — and the benefits and risks for originators, investors, and the financial system", "tags": [ "fixed-income", "securitization", "abs", "spe", "tranching", "credit-enhancement", "cfa-level-1" ], "aliases": [ "securitization-process", "special-purpose-entity", "tranche-structure", "credit-enhancement", "waterfall-payment", "true-sale" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fixed-income-securitization.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fixed-income-securitization.blueprint.yaml" }, { "feature": "fixed-income-spot-forward-rates", "version": "1.0.0", "description": "Derive spot rates via bootstrapping, compute forward rates under no-arbitrage, and interpret the term structure of interest rates for pricing and curve strategies", "tags": [ "fixed-income", "spot-rate", "forward-rate", "bootstrapping", "yield-curve", "cfa-level-1" ], "aliases": [ "spot-rate-curve", "forward-rate-curve", "bootstrapping-curve", "par-curve", "no-arbitrage-rates", "implied-forward-rate" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fixed-income-spot-forward-rates.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fixed-income-spot-forward-rates.blueprint.yaml" }, { "feature": "fixed-income-yield-measures", "version": "1.0.0", "description": "Compute yield measures — YTM, current yield, yield to call, yield to worst, discount yield, bond-equivalent yield — and convert between quoting conventions", "tags": [ "fixed-income", "ytm", "yield-to-call", "yield-to-worst", "current-yield", "cfa-level-1" ], "aliases": [ "ytm-cfa", "yield-to-call", "yield-to-worst", "current-yield-fi", "discount-yield", "bond-equivalent-yield" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fixed-income-yield-measures.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fixed-income-yield-measures.blueprint.yaml" }, { "feature": "fixed-income-yield-spreads", "version": "1.0.0", "description": "Compute nominal, G-, I-, Z-, and option-adjusted spreads to isolate credit, liquidity, and optionality components of yield relative to a risk-free benchmark", "tags": [ "fixed-income", "yield-spread", "g-spread", "z-spread", "oas", "swap-spread", "cfa-level-1" ], "aliases": [ "g-spread", "i-spread", "z-spread", "option-adjusted-spread", "swap-spread", "nominal-spread" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fixed-income-yield-spreads.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fixed-income-yield-spreads.blueprint.yaml" }, { "feature": "floating-rate-note-pricing", "version": "1.0.0", "description": "Floating rate note pricing using discount margin methodology and swap zero curve.", "tags": [ "bonds", "floating-rate", "frn", "pricing", "money-market", "jibar" ], "aliases": [], "fitness": 60, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/floating-rate-note-pricing.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/floating-rate-note-pricing.blueprint.yaml" }, { "feature": "forward-commitments-valuation-l2", "version": "1.0.0", "description": "Price and value forward commitments — arbitrage-free carry model, equity/IR/FX/fixed-income forwards, interest rate and currency swaps, equity swap pricing and valuation", "tags": [ "derivatives", "forwards", "futures", "swaps", "carry-arbitrage", "cfa-level-2" ], "aliases": [ "carry-arbitrage-model", "equity-forward-pricing-l2", "interest-rate-swap-pricing", "currency-swap-valuation", "equity-swap-pricing", "forward-futures-comparison", "fixed-income-forward-pricing" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/forward-commitments-valuation-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/forward-commitments-valuation-l2.blueprint.yaml" }, { "feature": "forward-exchange-rate-no-arbitrage", "version": "1.0.0", "description": "Compute the no-arbitrage forward exchange rate between two currencies via covered interest rate parity — using cash flow additivity across currency-specific risk-free investments", "tags": [ "quantitative-methods", "time-value-of-money", "fx", "forward-fx", "covered-interest-parity", "no-arbitrage", "cfa-level-1" ], "aliases": [ "covered-interest-parity", "cip", "forward-fx", "fx-forward", "forward-exchange-rate", "no-arbitrage-fx", "currency-forward" ], "fitness": 86, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/forward-exchange-rate-no-arbitrage.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/forward-exchange-rate-no-arbitrage.blueprint.yaml" }, { "feature": "forward-futures-pricing", "version": "1.0.0", "description": "Price forwards and futures using cost-of-carry, income/yield adjustments, storage costs, and convenience yield for financial and commodity underlyings", "tags": [ "derivatives", "forward-pricing", "futures-pricing", "cost-of-carry", "convenience-yield", "cfa-level-1" ], "aliases": [ "cost-of-carry", "convenience-yield", "forward-price-formula", "futures-price", "contango", "backwardation" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/forward-futures-pricing.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/forward-futures-pricing.blueprint.yaml" }, { "feature": "forward-rates-interest-rate-parity", "version": "1.0.0", "description": "Price FX forward rates using covered interest rate parity, interpret forward points, and evaluate covered vs uncovered IRP implications for carry trades", "tags": [ "economics", "foreign-exchange", "forward-rate", "interest-rate-parity", "carry-trade", "covered-irp", "cfa-level-1" ], "aliases": [ "covered-interest-rate-parity", "uncovered-interest-rate-parity", "fx-forward-irp", "forward-points", "carry-trade-irp", "irp-no-arbitrage" ], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/forward-rates-interest-rate-parity.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/forward-rates-interest-rate-parity.blueprint.yaml" }, { "feature": "forwards-futures-contracts", "version": "1.0.0", "description": "Compare forward and futures contracts on customisation, mark-to-market, margin, clearing, and basis, and compute settlement cash flows and mark-to-market variation margin", "tags": [ "derivatives", "forwards", "futures", "margin", "marking-to-market", "basis-risk", "cfa-level-1" ], "aliases": [ "forward-contract", "futures-contract", "initial-margin-futures", "variation-margin", "basis-risk", "cash-futures-convergence" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/forwards-futures-contracts.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/forwards-futures-contracts.blueprint.yaml" }, { "feature": "free-cash-flow-valuation-l2", "version": "1.0.0", "description": "Value equity via free cash flow — FCFF and FCFE definitions, computation from net income/CFO/EBIT/EBITDA, single-stage, two-stage, three-stage models, and ESG integration in FCF", "tags": [ "equity-valuation", "fcff", "fcfe", "free-cash-flow", "dcf", "cfa-level-2" ], "aliases": [ "fcff-valuation-l2", "fcfe-valuation-l2", "dcf-equity-valuation", "two-stage-fcf-model", "three-stage-fcf-model", "free-cash-flow-from-net-income", "sensitivity-analysis-fcf" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/free-cash-flow-valuation-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/free-cash-flow-valuation-l2.blueprint.yaml" }, { "feature": "fsa-balance-sheet", "version": "1.0.0", "description": "Analyse balance sheets — intangibles, goodwill, financial instruments, non-current liabilities, deferred taxes — using ratios and common-size analysis to assess structure", "tags": [ "financial-statement-analysis", "balance-sheet", "goodwill", "intangibles", "deferred-tax", "liquidity-ratio", "cfa-level-1" ], "aliases": [ "statement-of-financial-position", "goodwill-analysis", "intangible-assets", "current-ratio-analysis", "common-size-balance-sheet", "deferred-tax-liability" ], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fsa-balance-sheet.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fsa-balance-sheet.blueprint.yaml" }, { "feature": "fsa-cash-flow", "version": "1.0.0", "description": "Analyse cash flow statements — CFO, CFI, CFF — using direct and indirect methods, convert indirect to direct, and derive free cash flow and cash flow ratios", "tags": [ "financial-statement-analysis", "cash-flow-statement", "cfo", "free-cash-flow", "direct-indirect-method", "fcff", "cfa-level-1" ], "aliases": [ "statement-of-cash-flows", "cash-flow-from-operations", "direct-method-cfo", "indirect-method-cfo", "free-cash-flow", "fcff-fcfe" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fsa-cash-flow.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fsa-cash-flow.blueprint.yaml" }, { "feature": "fsa-framework", "version": "1.0.0", "description": "Apply a six-step financial statement analysis framework — purpose, data collection, processing, analysis, communication, follow-up — using regulated and supplementary information sources", "tags": [ "financial-statement-analysis", "fsa-framework", "ifrs", "us-gaap", "mdna", "audit-report", "cfa-level-1" ], "aliases": [ "financial-statement-analysis-framework", "fsa-process", "ifrs-vs-gaap", "management-discussion", "auditor-opinion", "segment-reporting" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fsa-framework.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fsa-framework.blueprint.yaml" }, { "feature": "fsa-income-statement", "version": "1.0.0", "description": "Analyse income statements — revenue/expense recognition, non-recurring items, basic and diluted EPS, common-size ratios — applying IFRS 15 / ASC 606 five-step model", "tags": [ "financial-statement-analysis", "income-statement", "revenue-recognition", "eps", "ifrs-15", "expense-recognition", "cfa-level-1" ], "aliases": [ "profit-and-loss", "revenue-recognition-five-step", "diluted-eps", "basic-eps", "common-size-income-statement", "non-recurring-items" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fsa-income-statement.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fsa-income-statement.blueprint.yaml" }, { "feature": "fsa-integration-l2", "version": "1.0.0", "description": "Integrate FSA techniques in a six-phase framework — define purpose, collect data, process, analyse via DuPont, segment and capital structure, conclude with recommendations", "tags": [ "fsa", "integration", "dupont", "segment-analysis", "capital-allocation", "cfa-level-2" ], "aliases": [ "six-phase-fsa-framework", "dupont-decomposition-l2", "segment-analysis-capital-allocation", "capital-structure-analysis-fsa", "unusual-charges-adjustment", "accruals-earnings-quality", "fsa-case-study-integration" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fsa-integration-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fsa-integration-l2.blueprint.yaml" }, { "feature": "fsa-ratio-analysis", "version": "1.0.0", "description": "Apply activity, liquidity, solvency, profitability, and valuation ratios with DuPont decomposition to compare firm performance across peers and time", "tags": [ "financial-statement-analysis", "ratio-analysis", "dupont", "activity-ratios", "solvency-ratios", "profitability", "cfa-level-1" ], "aliases": [ "financial-ratios", "dupont-decomposition", "activity-ratios", "solvency-ratios", "profitability-ratios", "valuation-ratios" ], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fsa-ratio-analysis.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fsa-ratio-analysis.blueprint.yaml" }, { "feature": "fx-quotes-cross-rates", "version": "1.0.0", "description": "Interpret direct and indirect FX quotes, convert between base/quote currencies, compute cross rates, and apply bid-ask spreads to client-side execution", "tags": [ "economics", "foreign-exchange", "fx-quote", "cross-rate", "bid-ask", "spot-rate", "cfa-level-1" ], "aliases": [ "fx-quote-conventions", "direct-quote", "indirect-quote", "cross-rate", "bid-ask-spread", "spot-fx" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/fx-quotes-cross-rates.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/fx-quotes-cross-rates.blueprint.yaml" }, { "feature": "geometric-mean-return", "version": "1.0.0", "description": "Compute the geometric mean (compound) return over multiple periods — the actual compound growth rate realised by a buy-and-hold investor", "tags": [ "quantitative-methods", "return-measures", "compound-return", "cagr", "cfa-level-1" ], "aliases": [ "compound-return", "compound-growth-rate", "geometric-mean", "cagr", "compound-annual-growth-rate", "time-weighted-single-period" ], "fitness": 80, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/geometric-mean-return.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/geometric-mean-return.blueprint.yaml" }, { "feature": "geopolitical-analysis-framework", "version": "1.0.0", "description": "Classify state and non-state actors along cooperation/competition and globalization/nationalism axes to frame geopolitical analysis of investment impacts", "tags": [ "economics", "geopolitics", "state-actors", "globalization", "nationalism", "cooperation", "cfa-level-1" ], "aliases": [ "geopolitics-framework", "state-non-state-actors", "cooperation-competition", "globalization-nationalism", "geopolitical-archetypes", "geopolitical-analysis" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/geopolitical-analysis-framework.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/geopolitical-analysis-framework.blueprint.yaml" }, { "feature": "geopolitical-risk-types", "version": "1.0.0", "description": "Categorize geopolitical risk by velocity (event, exogenous, thematic) and assess its investment impact via likelihood, velocity, and portfolio effect", "tags": [ "economics", "geopolitics", "risk-analysis", "event-risk", "exogenous-risk", "thematic-risk", "cfa-level-1" ], "aliases": [ "geopolitical-risk", "event-risk", "exogenous-shock", "thematic-risk", "geopolitical-risk-velocity", "portfolio-geopolitical-risk" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/geopolitical-risk-types.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/geopolitical-risk-types.blueprint.yaml" }, { "feature": "gips-compliance-fundamentals", "version": "1.0.0", "description": "Describe the Global Investment Performance Standards — who can claim compliance, benefits of compliance, fundamentals of compliance, and key verification and presentation requirements", "tags": [ "ethics", "gips", "performance-standards", "composite-presentation", "cfa-level-1" ], "aliases": [ "gips-standards", "gips-compliance", "performance-presentation-standard", "gips-verification", "firm-wide-compliance", "gips-fundamentals" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/gips-compliance-fundamentals.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/gips-compliance-fundamentals.blueprint.yaml" }, { "feature": "gips-composites-requirements", "version": "1.0.0", "description": "Define GIPS composites, describe the requirements for composite construction, return calculation, disclosures, and presentation, and present minimum required items on a compliant presentation", "tags": [ "ethics", "gips", "composite-construction", "performance-presentation", "cfa-level-1" ], "aliases": [ "gips-composite-construction", "gips-composite-definition", "gips-disclosures", "gips-presentation", "gips-pooled-fund", "gips-carve-out" ], "fitness": 66, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/gips-composites-requirements.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/gips-composites-requirements.blueprint.yaml" }, { "feature": "gips-standards-l3", "version": "1.0.0", "description": "Global Investment Performance Standards (GIPS) — firm definition, composites, time-weighted return, valuation, presentation requirements, portability, and verification", "tags": [ "ethics", "gips", "performance-standards", "composite", "time-weighted-return", "performance-reporting", "verification", "cfa-level-3" ], "aliases": [ "gips-compliance-l3", "performance-standards-gips-l3", "gips-composite-l3", "time-weighted-return-gips-l3", "gips-verification-l3", "gips-portability-l3", "gips-presentation-l3" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/gips-standards-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/gips-standards-l3.blueprint.yaml" }, { "feature": "gross-net-return", "version": "1.0.0", "description": "Compute gross and net returns — differentiating the manager's gross performance from the investor's return after fees and expenses", "tags": [ "quantitative-methods", "return-measures", "fees", "net-of-fees", "gross-of-fees", "gips", "cfa-level-1" ], "aliases": [ "net-of-fees-return", "gross-of-fees-return", "after-fees-return", "manager-fees", "performance-fees-adjustment" ], "fitness": 80, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/gross-net-return.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/gross-net-return.blueprint.yaml" }, { "feature": "harmonic-mean-return", "version": "1.0.0", "description": "Compute the harmonic mean — used specifically for averaging ratios such as cost-per-share under dollar-cost averaging (DCA)", "tags": [ "quantitative-methods", "mean", "harmonic", "dollar-cost-averaging", "cfa-level-1" ], "aliases": [ "harmonic-mean", "dca-average-cost", "cost-averaging-mean", "reciprocal-mean" ], "fitness": 77, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/harmonic-mean-return.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/harmonic-mean-return.blueprint.yaml" }, { "feature": "hedge-fund-investment-forms", "version": "1.0.0", "description": "Access hedge funds directly (single-manager, master-feeder, side-pocket) or indirectly (fund-of-funds, UCITS liquid alts, alternative risk premia replication) with awareness of liquidity and fees", "tags": [ "hedge-funds", "fund-of-funds", "master-feeder", "ucits-liquid-alt", "replication", "cfa-level-1" ], "aliases": [ "master-feeder-structure", "side-pocket-allocation", "hedge-fund-of-funds", "liquid-alternatives-ucits", "alternative-risk-premia", "hedge-fund-replication" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/hedge-fund-investment-forms.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/hedge-fund-investment-forms.blueprint.yaml" }, { "feature": "hedge-fund-strategies", "version": "1.0.0", "description": "Classify hedge fund strategies (equity hedge, event-driven, relative value, opportunistic macro) and describe their return drivers, risks, and typical market-environment suitability", "tags": [ "hedge-funds", "equity-hedge", "event-driven", "relative-value", "global-macro", "cfa-level-1" ], "aliases": [ "equity-hedge-strategy", "long-short-equity", "event-driven-strategy", "merger-arbitrage", "distressed-securities", "relative-value-strategy", "global-macro-strategy", "managed-futures-cta" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/hedge-fund-strategies.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/hedge-fund-strategies.blueprint.yaml" }, { "feature": "hedge-fund-strategies-l2", "version": "1.0.0", "description": "Evaluate hedge fund strategies — equity L/S, dedicated short, market neutral, merger arb, distressed, relative value, global macro, managed futures, and conditional factor risk model analysis", "tags": [ "alternative-investments", "hedge-funds", "long-short-equity", "merger-arbitrage", "relative-value", "global-macro", "cfa-level-2" ], "aliases": [ "long-short-equity-strategy", "merger-arbitrage-l2", "distressed-securities-hedge-fund", "fixed-income-arbitrage-l2", "global-macro-strategy-l2", "managed-futures-strategy", "conditional-factor-risk-model" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/hedge-fund-strategies-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/hedge-fund-strategies-l2.blueprint.yaml" }, { "feature": "hedge-fund-strategies-l3", "version": "1.0.0", "description": "Hedge fund strategy classification and analysis — long/short equity, event-driven, relative value, global macro, managed futures, and multi-manager structures with conditional factor risk models", "tags": [ "portfolio-management", "hedge-funds", "long-short-equity", "merger-arbitrage", "convertible-bond-arb", "global-macro", "managed-futures", "multi-manager", "cfa-level-3" ], "aliases": [ "hedge-fund-classification-l3", "long-short-equity-hf-l3", "merger-arbitrage-hf-l3", "distressed-securities-hf-l3", "fi-arbitrage-hf-l3", "convertible-bond-arbitrage-l3", "global-macro-hf-l3", "managed-futures-hf-l3", "conditional-factor-risk-model-l3" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/hedge-fund-strategies-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/hedge-fund-strategies-l3.blueprint.yaml" }, { "feature": "holding-period-return", "version": "1.0.0", "description": "Compute the holding period return (HPR) for a single investment over a specified holding period, combining price appreciation and income yield", "tags": [ "quantitative-methods", "return-measures", "hpr", "cfa-level-1", "performance" ], "aliases": [ "hpr", "total-return-single-period", "period-return", "single-period-return", "price-and-income-return" ], "fitness": 86, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/holding-period-return.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/holding-period-return.blueprint.yaml" }, { "feature": "hypothesis-test-means", "version": "1.0.0", "description": "Test hypotheses about one or two population means using z-tests and t-tests — including paired comparisons — selecting based on variance knowledge and sample dependence", "tags": [ "quantitative-methods", "hypothesis-testing", "t-test", "z-test", "paired-comparisons", "means-comparison", "cfa-level-1" ], "aliases": [ "t-test", "z-test", "mean-difference-test", "paired-t-test", "two-sample-t-test", "pooled-variance-test", "welch-test" ], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/hypothesis-test-means.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/hypothesis-test-means.blueprint.yaml" }, { "feature": "hypothesis-test-variance", "version": "1.0.0", "description": "Test hypotheses about population variances using the chi-square test for a single variance and the F-test for the ratio of two independent variances", "tags": [ "quantitative-methods", "hypothesis-testing", "chi-square-test", "f-test", "variance-test", "cfa-level-1" ], "aliases": [ "chi-square-variance-test", "f-test", "variance-ratio-test", "single-variance-test", "two-variance-test", "levene-test", "equality-of-variances" ], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/hypothesis-test-variance.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/hypothesis-test-variance.blueprint.yaml" }, { "feature": "hypothesis-testing-framework", "version": "1.0.0", "description": "Conduct statistical hypothesis tests through the standard six-step framework — stating hypotheses, selecting test statistic, setting significance, deciding rule, computing, and concluding", "tags": [ "quantitative-methods", "hypothesis-testing", "statistical-inference", "type-i-error", "type-ii-error", "power", "p-value", "cfa-level-1" ], "aliases": [ "hypothesis-testing", "null-hypothesis", "significance-test", "type-i-error", "type-ii-error", "statistical-power", "p-value-testing" ], "fitness": 87, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/hypothesis-testing-framework.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/hypothesis-testing-framework.blueprint.yaml" }, { "feature": "idp-connectivity", "version": "1.0.0", "description": "JSE Information Delivery Portal (IDP) FTP connectivity for secure access to market data files", "tags": [ "connectivity", "idp", "ftp", "data-delivery", "market-data", "ftps", "sftp" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/idp-connectivity.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/idp-connectivity.blueprint.yaml" }, { "feature": "implied-forward-rates", "version": "1.0.0", "description": "Derive implied forward interest rates from the observed spot curve using cash flow additivity and the no-arbitrage condition", "tags": [ "quantitative-methods", "time-value-of-money", "fixed-income", "forward-rates", "spot-curve", "term-structure", "cfa-level-1" ], "aliases": [ "forward-rate", "forward-interest-rate", "implied-forward-yield", "fra-rate", "forward-curve", "rolling-yield" ], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/implied-forward-rates.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/implied-forward-rates.blueprint.yaml" }, { "feature": "implied-return-fixed-income", "version": "1.0.0", "description": "Solve for the implied return (yield-to-maturity, YTM) of a fixed-income instrument given its current price and promised cash flows", "tags": [ "quantitative-methods", "time-value-of-money", "fixed-income", "ytm", "implied-return", "root-finding", "cfa-level-1" ], "aliases": [ "ytm", "yield-to-maturity", "implied-yield", "bond-irr", "discount-bond-yield" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/implied-return-fixed-income.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/implied-return-fixed-income.blueprint.yaml" }, { "feature": "implied-return-implied-growth-equity", "version": "1.0.0", "description": "Invert the dividend discount model — solve for the implied required return or implied dividend growth rate embedded in a stock's market price", "tags": [ "quantitative-methods", "time-value-of-money", "equity", "implied-return", "implied-growth", "ddm-inverse", "cfa-level-1" ], "aliases": [ "implied-equity-return", "implied-growth-rate", "ddm-inverse", "justified-pe-inverse", "implied-required-return" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/implied-return-implied-growth-equity.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/implied-return-implied-growth-equity.blueprint.yaml" }, { "feature": "income-taxes-deferred", "version": "1.0.0", "description": "Reconcile accounting and taxable income, compute deferred tax assets/liabilities from temporary differences, and apply valuation allowances and rate-change adjustments", "tags": [ "financial-statement-analysis", "income-tax", "deferred-tax-asset", "deferred-tax-liability", "temporary-difference", "effective-tax-rate", "cfa-level-1" ], "aliases": [ "deferred-tax-accounting", "dta-dtl", "temporary-difference", "permanent-difference", "effective-tax-rate", "valuation-allowance" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/income-taxes-deferred.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/income-taxes-deferred.blueprint.yaml" }, { "feature": "index-data-feeds", "version": "1.0.0", "description": "Real-time index calculation and dissemination (equity indices, sector indices, style indices, thematic indices)", "tags": [ "indices", "index-data", "market-barometer", "performance-tracking", "real-time-calc" ], "aliases": [ "index-feeds", "equity-indices", "index-calculation", "index-dissemination", "market-indices" ], "fitness": 69, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/index-data-feeds.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/index-data-feeds.blueprint.yaml" }, { "feature": "indices-eod-data-delivery", "version": "1.0.0", "description": "End-of-day FTSE-JSE indices market data delivery via FTP — fixed-width flat files covering 30+ index families with valuations data, constituents data, index-level tracker data, stock-level weightin...", "tags": [ "market-data", "eod", "indices", "ftse", "index-data", "constituents", "valuations", "tracker", "fixed-width", "non-live", "ftp" ], "aliases": [], "fitness": 75, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/indices-eod-data-delivery.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/indices-eod-data-delivery.blueprint.yaml" }, { "feature": "indices-feed-fast-udp", "version": "1.0.0", "description": "Real-time indices via FAST UDP multicast with TCP replay from FTSE.", "tags": [], "aliases": [], "fitness": 62, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/indices-feed-fast-udp.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/indices-feed-fast-udp.blueprint.yaml" }, { "feature": "individual-risk-management-l3", "version": "1.0.0", "description": "Individual risk management — human and financial capital, economic net worth, life insurance types, annuities, individual risk exposures, and optimal risk management strategy", "tags": [ "portfolio-management", "private-wealth", "human-capital", "life-insurance", "annuities", "individual-risk", "longevity-risk", "premature-death-risk", "cfa-level-3" ], "aliases": [ "human-capital-management-l3", "individual-insurance-planning-l3", "longevity-risk-management-l3", "annuity-planning-l3", "economic-net-worth-l3", "individual-balance-sheet-l3", "life-insurance-analysis-l3" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/individual-risk-management-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/individual-risk-management-l3.blueprint.yaml" }, { "feature": "industry-competitive-analysis", "version": "1.0.0", "description": "Classify industry structure, apply Porter's five forces, assess external PEST influences, and characterise competitive positioning along cost and differentiation axes", "tags": [ "equity", "industry-analysis", "porter-five-forces", "competitive-positioning", "pest", "cfa-level-1" ], "aliases": [ "industry-classification", "porter-five-forces", "competitive-positioning", "pest-analysis", "industry-lifecycle", "market-share-trends" ], "fitness": 78, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/industry-competitive-analysis.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/industry-competitive-analysis.blueprint.yaml" }, { "feature": "inflation-indexed-bond-pricing", "version": "1.0.0", "description": "Pricing methodology for inflation-linked bonds with CPI-adjusted principals.\nSupports linear CPI interpolation for settlement dates between published months.\n", "tags": [ "bonds", "inflation", "cpi", "inflation-indexed", "real-yield" ], "aliases": [], "fitness": 60, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/inflation-indexed-bond-pricing.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/inflation-indexed-bond-pricing.blueprint.yaml" }, { "feature": "inflation-targeting", "version": "1.0.0", "description": "Evaluate an inflation-targeting monetary regime — explicit target, transparency, credibility, and conditions for effective transmission to inflation expectations", "tags": [ "economics", "macroeconomics", "inflation-targeting", "credibility", "central-bank", "expectations", "cfa-level-1" ], "aliases": [ "inflation-target-regime", "explicit-inflation-target", "flexible-inflation-targeting", "price-stability-mandate", "central-bank-credibility", "expectations-anchor" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/inflation-targeting.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/inflation-targeting.blueprint.yaml" }, { "feature": "infrastructure-investments", "version": "1.0.0", "description": "Evaluate infrastructure investments by stage (greenfield vs. brownfield), category (economic, social), return profile, and diversification and inflation-hedging benefits", "tags": [ "infrastructure", "greenfield", "brownfield", "ppp", "cfa-level-1" ], "aliases": [ "greenfield-infrastructure", "brownfield-infrastructure", "economic-infrastructure", "social-infrastructure", "public-private-partnership", "ppp-project" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/infrastructure-investments.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/infrastructure-investments.blueprint.yaml" }, { "feature": "institutional-portfolio-management-l3", "version": "1.0.0", "description": "Institutional investor portfolio management — pension funds, SWFs, endowments, foundations, banks, and insurers — objectives, constraints, liabilities, risk, and asset allocation", "tags": [ "portfolio-management", "institutional-investors", "pension-fund", "sovereign-wealth-fund", "endowment", "insurance", "asset-liability-management", "cfa-level-3" ], "aliases": [ "pension-fund-management-l3", "sovereign-wealth-fund-management-l3", "endowment-foundation-management-l3", "insurance-portfolio-management-l3", "bank-portfolio-management-l3", "institutional-alm-l3", "institutional-ips-l3" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/institutional-portfolio-management-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/institutional-portfolio-management-l3.blueprint.yaml" }, { "feature": "instrument-classification", "version": "1.0.0", "description": "Classifies derivative and cash instruments traded on exchanges, including futures, options, bonds, equities, and structured products with trading rules and characteristics.", "tags": [ "instruments", "classification", "derivatives", "bonds", "equities", "structured-products", "reference-data" ], "aliases": [ "instrument-types", "derivative-classification", "security-types", "trading-instruments", "instrument-taxonomy" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/instrument-classification.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/instrument-classification.blueprint.yaml" }, { "feature": "intercorporate-investments-l2", "version": "1.0.0", "description": "Account for intercorporate investments — IFRS 9 financial assets, equity method for associates/JVs, acquisition method for business combinations with NCI and goodwill", "tags": [ "fsa", "intercorporate-investments", "ifrs-9", "equity-method", "acquisition-method", "cfa-level-2" ], "aliases": [ "ifrs-9-financial-assets-classification", "equity-method-accounting", "associates-joint-ventures", "business-combinations-acquisition-method", "goodwill-impairment-l2", "non-controlling-interest-cfa", "variable-interest-entities-vies", "securitisation-off-balance-sheet" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/intercorporate-investments-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/intercorporate-investments-l2.blueprint.yaml" }, { "feature": "interest-rate-derivatives-trading", "version": "1.0.0", "description": "Interest rate derivatives trading with NUTRON API, conformance, and settlement", "tags": [ "derivatives", "fixed-income" ], "aliases": [], "fitness": 72, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/interest-rate-derivatives-trading.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/interest-rate-derivatives-trading.blueprint.yaml" }, { "feature": "interest-rates-derivatives-eod-data-delivery", "version": "1.0.0", "description": "End-of-day interest rate derivatives data delivery via FTP — fixed-width flat files covering daily statistics, mark-to-market, and reference rates", "tags": [ "market-data", "eod", "interest-rates", "derivatives", "ftp", "dissemination", "fixed-width", "non-live" ], "aliases": [], "fitness": 67, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/interest-rates-derivatives-eod-data-delivery.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/interest-rates-derivatives-eod-data-delivery.blueprint.yaml" }, { "feature": "international-trade-framework", "version": "1.0.0", "description": "Evaluate benefits and costs of international trade using absolute advantage, Ricardian comparative advantage, and Heckscher-Ohlin factor endowments", "tags": [ "economics", "international-trade", "comparative-advantage", "ricardian", "heckscher-ohlin", "trade-theory", "cfa-level-1" ], "aliases": [ "trade-theory", "comparative-advantage", "absolute-advantage", "ricardian-trade", "heckscher-ohlin", "factor-endowments" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/international-trade-framework.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/international-trade-framework.blueprint.yaml" }, { "feature": "inventory-accounting", "version": "1.0.0", "description": "Apply FIFO, LIFO, and weighted-average cost-flow methods to compute COGS and ending inventory, convert LIFO to FIFO, and evaluate the impact on ratios and valuation", "tags": [ "financial-statement-analysis", "inventory", "fifo", "lifo", "weighted-average", "lifo-reserve", "cfa-level-1" ], "aliases": [ "inventory-cost-methods", "fifo-method", "lifo-method", "weighted-average-cost", "lifo-reserve", "lower-of-cost-or-nrv" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/inventory-accounting.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/inventory-accounting.blueprint.yaml" }, { "feature": "inventory-capital-spending-cycles", "version": "1.0.0", "description": "Track inventory-to-sales ratios, capital expenditure, and workforce costs across the business cycle to anticipate turning points and firm profitability", "tags": [ "economics", "macroeconomics", "inventory-cycle", "capex", "labour-costs", "cfa-level-1" ], "aliases": [ "inventory-sales-ratio", "capex-cycle", "workforce-cost-cycle", "inventory-investment", "capital-spending-cyclicality", "labour-cost-sensitivity" ], "fitness": 79, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/inventory-capital-spending-cycles.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/inventory-capital-spending-cycles.blueprint.yaml" }, { "feature": "investment-manager-selection-l3", "version": "1.0.0", "description": "Investment manager selection — search framework, style analysis, qualitative and quantitative due diligence, Type I/II errors, manager philosophy, operational due diligence, and fee evaluation", "tags": [ "portfolio-management", "manager-selection", "due-diligence", "investment-philosophy", "operational-due-diligence", "management-fees", "type-i-type-ii-error", "cfa-level-3" ], "aliases": [ "manager-search-selection-l3", "investment-manager-due-diligence-l3", "operational-due-diligence-l3", "manager-fee-evaluation-l3", "type-i-type-ii-manager-error-l3", "manager-style-analysis-l3", "manager-philosophy-evaluation-l3" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/investment-manager-selection-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/investment-manager-selection-l3.blueprint.yaml" }, { "feature": "investment-policy-statement-ips", "version": "1.0.0", "description": "Draft an Investment Policy Statement covering risk and return objectives, liquidity, time horizon, tax, legal, unique circumstances, and ESG considerations for individual and institutional clients", "tags": [ "portfolio-management", "ips", "objectives", "constraints", "esg", "cfa-level-1" ], "aliases": [ "investment-policy-statement", "ips-risk-objective", "ips-return-objective", "ips-constraints", "ips-liquidity-requirement", "ips-time-horizon", "ips-tax-concern", "ips-legal-regulatory", "ips-unique-circumstances", "esg-considerations" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/investment-policy-statement-ips.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/investment-policy-statement-ips.blueprint.yaml" }, { "feature": "itac-comprehensive-guidance", "version": "1.0.0", "description": "ITaC comprehensive guidance covering corporate actions, dividend treatment, trade cancellations, FCO expiries, user-created instruments, password policy", "tags": [ "itac", "consensus-guidance", "operational-rules", "compliance" ], "aliases": [ "itac-guidance-comprehensive", "itac-operational-rules", "itac-consensus-all", "trading-consensus-guidance", "itac-software-requirements" ], "fitness": 70, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/itac-comprehensive-guidance.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/itac-comprehensive-guidance.blueprint.yaml" }, { "feature": "jackknife-resampling", "version": "1.0.0", "description": "Apply the jackknife leave-one-out resampling technique — systematically excluding one observation at a time to estimate the bias and standard error of a statistic without parametric assumptions", "tags": [ "quantitative-methods", "resampling", "jackknife", "leave-one-out", "bias-correction", "standard-error", "cfa-level-1" ], "aliases": [ "jackknife", "leave-one-out", "loo", "jackknife-estimator", "tukey-jackknife", "bias-correction-resampling" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/jackknife-resampling.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/jackknife-resampling.blueprint.yaml" }, { "feature": "joint-probability-covariance", "version": "1.0.0", "description": "Compute the covariance of returns between two assets from a joint probability function — the forward-looking covariance used when historical data is unavailable or unrepresentative", "tags": [ "quantitative-methods", "portfolio-mathematics", "joint-probability", "covariance", "forward-looking", "independence", "cfa-level-1" ], "aliases": [ "joint-probability-function", "forward-looking-covariance", "scenario-covariance", "bivariate-probability", "joint-distribution-covariance", "ex-ante-covariance" ], "fitness": 86, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/joint-probability-covariance.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/joint-probability-covariance.blueprint.yaml" }, { "feature": "jse-trading-operational-rules", "version": "1.0.0", "description": "JSE trading operational rules covering order types, time-in-force, auction session matching, self-match prevention, trade conformance", "tags": [ "jse-rules", "operational-rules", "order-management", "auction", "conformance" ], "aliases": [ "jse-operational-rules", "jse-trading-rules", "jse-order-management", "jse-trade-conformance", "jse-auction-rules" ], "fitness": 72, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/jse-trading-operational-rules.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/jse-trading-operational-rules.blueprint.yaml" }, { "feature": "kurtosis", "version": "1.0.0", "description": "Compute kurtosis — the standardised fourth central moment — measuring the combined weight of the tails of a return distribution relative to its centre", "tags": [ "quantitative-methods", "descriptive-statistics", "kurtosis", "excess-kurtosis", "tail-risk", "fat-tails", "leptokurtic", "cfa-level-1" ], "aliases": [ "sample-kurtosis", "excess-kurtosis", "fourth-moment", "leptokurtic", "platykurtic", "mesokurtic", "fat-tails", "tail-risk-metric" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/kurtosis.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/kurtosis.blueprint.yaml" }, { "feature": "leveraged-return", "version": "1.0.0", "description": "Compute the return on a leveraged position — amplifying gains and losses through borrowed capital at a cost", "tags": [ "quantitative-methods", "return-measures", "leverage", "margin", "cfa-level-1" ], "aliases": [ "margin-return", "levered-return", "return-on-levered-portfolio", "borrowed-capital-return" ], "fitness": 80, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/leveraged-return.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/leveraged-return.blueprint.yaml" }, { "feature": "liability-driven-index-strategies-l3", "version": "1.0.0", "description": "Liability-driven investing and bond indexing — immunization, cash flow matching, duration matching, contingent immunization, and enhanced indexing strategies", "tags": [ "portfolio-management", "fixed-income", "liability-driven-investing", "immunization", "cash-flow-matching", "bond-indexing", "duration-matching", "cfa-level-3" ], "aliases": [ "liability-driven-investing-l3", "bond-immunization-l3", "cash-flow-matching-l3", "duration-matching-l3", "contingent-immunization-l3", "laddered-portfolio-l3", "bond-index-strategies-l3", "enhanced-bond-indexing-l3" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/liability-driven-index-strategies-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/liability-driven-index-strategies-l3.blueprint.yaml" }, { "feature": "listings-requirements", "version": "1.0.0", "description": "Manages listing and compliance requirements for securities, including approval criteria, disclosure obligations, and continuing obligations for issuers.", "tags": [ "listings", "regulatory", "compliance", "disclosure", "securities", "corporate-governance" ], "aliases": [ "listing-criteria", "listing-approval", "listing-compliance", "disclosure-requirements", "continuing-obligations" ], "fitness": 77, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/listings-requirements.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/listings-requirements.blueprint.yaml" }, { "feature": "lognormal-distribution-asset-prices", "version": "1.0.0", "description": "Model asset prices using the lognormal distribution — bounded below by zero, right-skewed, and the theoretical consequence of normally distributed continuously compounded returns", "tags": [ "quantitative-methods", "probability-distributions", "lognormal", "asset-pricing", "black-scholes", "cfa-level-1" ], "aliases": [ "lognormal-distribution", "lognormal-asset-price", "price-distribution", "right-skewed-distribution", "exp-normal", "black-scholes-price-distribution" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/lognormal-distribution-asset-prices.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/lognormal-distribution-asset-prices.blueprint.yaml" }, { "feature": "long-lived-assets-accounting", "version": "1.0.0", "description": "Account for long-lived assets — acquisition, depreciation/amortisation, impairment, revaluation, derecognition — across IFRS and US GAAP frameworks", "tags": [ "financial-statement-analysis", "long-lived-assets", "depreciation", "amortisation", "impairment", "capitalisation", "cfa-level-1" ], "aliases": [ "depreciation-methods", "amortisation", "impairment-testing", "capitalised-interest", "asset-revaluation", "derecognition" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/long-lived-assets-accounting.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/long-lived-assets-accounting.blueprint.yaml" }, { "feature": "machine-learning-l2", "version": "1.0.0", "description": "Apply ML to investment problems — supervised (penalised regression, SVM, KNN, CART, random forest), unsupervised (PCA, clustering), neural networks, deep learning, reinforcement learning", "tags": [ "quant", "machine-learning", "supervised", "unsupervised", "neural-networks", "cfa-level-2" ], "aliases": [ "ml-supervised-unsupervised-l2", "penalised-regression-lasso-ridge", "support-vector-machine-l2", "random-forest-cfa", "principal-components-analysis-l2", "k-means-hierarchical-clustering", "neural-network-deep-learning", "reinforcement-learning-finance" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/machine-learning-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/machine-learning-l2.blueprint.yaml" }, { "feature": "machine-learning-techniques", "version": "1.0.0", "description": "Select between supervised, unsupervised, and deep learning approaches for investment problems while managing overfitting through train/validation/test splits and cross-validation", "tags": [ "quantitative-methods", "machine-learning", "supervised-learning", "unsupervised-learning", "overfitting", "cross-validation", "cfa-level-1" ], "aliases": [ "supervised-learning", "unsupervised-learning", "deep-learning", "neural-networks-finance", "ml-for-investing", "algorithmic-pattern-recognition" ], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/machine-learning-techniques.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/machine-learning-techniques.blueprint.yaml" }, { "feature": "market-anomalies-behavioral", "version": "1.0.0", "description": "Catalog time-series and cross-sectional market anomalies, identify behavioral biases, and assess when apparent anomalies persist or fade under scrutiny", "tags": [ "equity", "behavioral-finance", "anomalies", "biases", "cfa-level-1" ], "aliases": [ "time-series-anomaly", "cross-sectional-anomaly", "january-effect", "momentum-anomaly", "value-anomaly", "behavioral-bias" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/market-anomalies-behavioral.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/market-anomalies-behavioral.blueprint.yaml" }, { "feature": "market-based-valuation-multiples-l2", "version": "1.0.0", "description": "Apply price and enterprise value multiples — P/E, P/B, P/S, P/CF, dividend yield, EV/EBITDA, EV/Sales, justified vs comparables, harmonic mean, momentum indicators", "tags": [ "equity-valuation", "multiples", "pe-ratio", "ev-ebitda", "comparables", "cfa-level-2" ], "aliases": [ "price-multiples-valuation-l2", "enterprise-value-multiples", "justified-pe-l2", "peer-comparable-valuation", "harmonic-mean-multiples", "momentum-valuation-indicators", "ev-ebitda-l2" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/market-based-valuation-multiples-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/market-based-valuation-multiples-l2.blueprint.yaml" }, { "feature": "market-concentration-measures", "version": "1.0.0", "description": "Quantify industry concentration using the N-firm concentration ratio and the Herfindahl-Hirschman Index to infer market power and antitrust risk", "tags": [ "economics", "microeconomics", "concentration-ratio", "hhi", "market-power", "antitrust", "cfa-level-1" ], "aliases": [ "herfindahl-hirschman-index", "hhi", "n-firm-concentration-ratio", "concentration-measurement", "market-power-index", "antitrust-screen" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/market-concentration-measures.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/market-concentration-measures.blueprint.yaml" }, { "feature": "market-data-all-classes", "version": "1.0.0", "description": "Comprehensive market data products across all asset classes (equities, derivatives, fixed-income, indices, commodities, currencies)", "tags": [ "market-data", "eod", "nlmd", "all-classes", "comprehensive" ], "aliases": [ "market-data-comprehensive", "all-classes-market-data", "market-data-feeds-all", "data-products-all", "eod-all-classes" ], "fitness": 65, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/market-data-all-classes.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/market-data-all-classes.blueprint.yaml" }, { "feature": "market-data-feeds", "version": "1.0.0", "description": "Consume and distribute real-time and delayed market data including pricing, indices, commodities, forex, and trade feeds from multiple providers", "tags": [ "market-data", "feeds", "real-time", "pricing", "indices", "commodities", "watchlist" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/market-data-feeds.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/market-data-feeds.blueprint.yaml" }, { "feature": "market-data-gateway-fast-udp", "version": "1.0.0", "description": "Real-time market data via FAST UDP multicast with TCP recovery and replay channels.", "tags": [], "aliases": [], "fitness": 64, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/market-data-gateway-fast-udp.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/market-data-gateway-fast-udp.blueprint.yaml" }, { "feature": "market-data-indices-nlmd", "version": "1.0.0", "description": "Non-live market data products for all index families (equity, sector, style, thematic, factor, fixed-income, multi-asset)", "tags": [ "market-data", "indices", "nlmd", "non-live", "end-of-day", "reference-data" ], "aliases": [ "indices-nlmd-feeds", "index-reference-data", "nlmd-index-data", "index-eod-data", "market-data-indices-all" ], "fitness": 64, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/market-data-indices-nlmd.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/market-data-indices-nlmd.blueprint.yaml" }, { "feature": "market-data-mitch-udp", "version": "1.0.0", "description": "MITCH binary protocol over UDP multicast delivering full order-book tick-by-tick market data", "tags": [ "market-data", "mitch", "udp", "multicast", "l2", "order-book", "real-time" ], "aliases": [ "mitch-feed", "mitch-udp", "l2-order-book-feed", "market-data-mitch", "order-book-mitch" ], "fitness": 65, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/market-data-mitch-udp.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/market-data-mitch-udp.blueprint.yaml" }, { "feature": "market-efficiency-forms", "version": "1.0.0", "description": "Distinguish weak, semi-strong, and strong forms of market efficiency, test joint hypotheses with event studies, and reconcile market value with intrinsic value", "tags": [ "equity", "market-efficiency", "emh", "fundamental-analysis", "technical-analysis", "cfa-level-1" ], "aliases": [ "efficient-market-hypothesis", "weak-form-efficiency", "semi-strong-efficiency", "strong-form-efficiency", "intrinsic-value", "event-study" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/market-efficiency-forms.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/market-efficiency-forms.blueprint.yaml" }, { "feature": "market-indexes-construction", "version": "1.0.0", "description": "Construct, weight, and rebalance security market indexes (price, equal, market-cap, float-adjusted, fundamental) and compute single- and multi-period index returns", "tags": [ "equity", "indexes", "benchmark", "weighting", "rebalancing", "cfa-level-1" ], "aliases": [ "index-construction", "index-weighting", "price-weighted-index", "market-cap-weighted-index", "equal-weighted-index", "fundamental-weighted-index", "index-rebalancing" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/market-indexes-construction.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/market-indexes-construction.blueprint.yaml" }, { "feature": "market-risk-measurement-l2", "version": "1.0.0", "description": "Measure and manage market risk — VaR (parametric, historical, Monte Carlo), expected shortfall, sensitivity and scenario risk measures, risk budgeting, position and stop-loss limits", "tags": [ "portfolio-management", "risk-management", "var", "expected-shortfall", "risk-budgeting", "scenario-analysis", "cfa-level-2" ], "aliases": [ "value-at-risk-l2", "parametric-var", "historical-simulation-var", "monte-carlo-var", "expected-shortfall-cvar", "risk-budgeting-l2", "scenario-risk-measures" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/market-risk-measurement-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/market-risk-measurement-l2.blueprint.yaml" }, { "feature": "market-structures-analysis", "version": "1.0.0", "description": "Classify an industry by market structure — perfect competition, monopolistic competition, oligopoly, or monopoly — and infer pricing power, entry barriers, and profitability implications", "tags": [ "economics", "microeconomics", "market-structure", "perfect-competition", "monopoly", "cfa-level-1" ], "aliases": [ "market-structure-classification", "perfect-competition", "monopoly-analysis", "industry-structure", "pricing-power-assessment", "porter-structure" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/market-structures-analysis.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/market-structures-analysis.blueprint.yaml" }, { "feature": "math-transform-operators", "version": "1.0.0", "description": "Element-wise and rolling-window mathematical utility functions operating on price series — arithmetic operators, period extrema, rounding, logarithms, exponentials, and trigonometric transforms", "tags": [ "technical-analysis", "math", "arithmetic", "transform", "trigonometry", "ta-lib", "utilities" ], "aliases": [ "math-operators", "math-transforms", "ta-lib-math", "price-math", "arithmetic-functions", "trig-functions" ], "fitness": 77, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/math-transform-operators.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/math-transform-operators.blueprint.yaml" }, { "feature": "measures-of-central-tendency", "version": "1.0.0", "description": "Compute measures of central tendency — arithmetic mean, weighted mean, median, mode, trimmed mean, and winsorized mean — to summarise where a return distribution is centred", "tags": [ "quantitative-methods", "descriptive-statistics", "central-tendency", "mean", "median", "mode", "trimmed-mean", "winsorized-mean", "cfa-level-1" ], "aliases": [ "central-tendency", "sample-mean", "weighted-mean", "median", "mode", "trimmed-mean", "winsorized-mean", "robust-mean" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/measures-of-central-tendency.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/measures-of-central-tendency.blueprint.yaml" }, { "feature": "measures-of-dispersion", "version": "1.0.0", "description": "Compute measures of dispersion — range, mean absolute deviation (MAD), variance, standard deviation, and coefficient of variation — to describe variability of observations around their mean", "tags": [ "quantitative-methods", "descriptive-statistics", "dispersion", "variance", "standard-deviation", "mad", "coefficient-of-variation", "volatility", "cfa-level-1" ], "aliases": [ "variance", "standard-deviation", "mad", "mean-absolute-deviation", "coefficient-of-variation", "cv", "range", "volatility", "dispersion" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/measures-of-dispersion.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/measures-of-dispersion.blueprint.yaml" }, { "feature": "momentum-oscillators", "version": "1.0.0", "description": "A suite of momentum oscillators for identifying overbought/oversold conditions, trend reversal signals, and price momentum strength across financial time series data", "tags": [ "technical-analysis", "momentum", "oscillators", "rsi", "macd", "stochastic", "cci", "ta-lib", "indicators" ], "aliases": [ "momentum-indicators", "technical-oscillators", "rsi-macd-stochastic", "overbought-oversold-indicators", "price-momentum", "ta-lib-momentum" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/momentum-oscillators.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/momentum-oscillators.blueprint.yaml" }, { "feature": "monetary-fiscal-interaction", "version": "1.0.0", "description": "Classify the combined stance of monetary and fiscal policy and assess the interaction effects on aggregate demand, interest rates, the currency, and inflation", "tags": [ "economics", "macroeconomics", "policy-mix", "monetary-fiscal", "policy-interaction", "coordination", "cfa-level-1" ], "aliases": [ "policy-mix", "monetary-fiscal-coordination", "combined-policy-stance", "policy-interaction-effects", "fiscal-dominance", "loose-tight-policy" ], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/monetary-fiscal-interaction.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/monetary-fiscal-interaction.blueprint.yaml" }, { "feature": "monetary-policy-framework", "version": "1.0.0", "description": "Execute central bank monetary policy using open market operations, policy rate, reserve requirements, and standing facilities to meet inflation and financial stability objectives", "tags": [ "economics", "macroeconomics", "monetary-policy", "central-bank", "policy-rate", "open-market-operations", "cfa-level-1" ], "aliases": [ "central-bank-operations", "policy-rate-setting", "open-market-operations", "reserve-requirement", "monetary-transmission", "central-bank-toolkit" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/monetary-policy-framework.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/monetary-policy-framework.blueprint.yaml" }, { "feature": "money-market-eod-data-delivery", "version": "1.0.0", "description": "End-of-day money market instrument reference data delivery via FTP — ISIN reference, coupon resets, payment dates, and intraday priority updates", "tags": [ "market-data", "eod", "money-market", "isin", "reference-data", "ftp", "dissemination", "fixed-width", "non-live" ], "aliases": [], "fitness": 68, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/money-market-eod-data-delivery.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/money-market-eod-data-delivery.blueprint.yaml" }, { "feature": "money-weighted-return", "version": "1.0.0", "description": "Calculate the money-weighted rate of return (internal rate of return) on a portfolio with external cash flows, reflecting both performance and investor timing", "tags": [ "quantitative-methods", "return-measures", "irr", "mwr", "cash-flows", "cfa-level-1" ], "aliases": [ "mwr", "internal-rate-of-return", "irr", "dollar-weighted-return", "investor-return" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/money-weighted-return.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/money-weighted-return.blueprint.yaml" }, { "feature": "monopolistic-competition", "version": "1.0.0", "description": "Model pricing, output, and long-run equilibrium in monopolistic competition — many firms selling differentiated products with free entry and downward-sloping demand for each firm", "tags": [ "economics", "microeconomics", "monopolistic-competition", "product-differentiation", "brand", "cfa-level-1" ], "aliases": [ "differentiated-products-market", "brand-competition", "excess-capacity-theorem", "chamberlinian-competition", "monopolistic-competitive-equilibrium", "non-price-competition" ], "fitness": 80, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/monopolistic-competition.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/monopolistic-competition.blueprint.yaml" }, { "feature": "monopoly-pricing", "version": "1.0.0", "description": "Determine the profit-maximising price and quantity for a monopolist using MR = MC, analyse price discrimination, and evaluate regulatory responses to monopoly power", "tags": [ "economics", "microeconomics", "monopoly", "price-discrimination", "deadweight-loss", "regulation", "cfa-level-1" ], "aliases": [ "single-seller-model", "price-discrimination", "natural-monopoly", "regulated-monopoly", "monopoly-deadweight-loss", "markup-over-mc" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/monopoly-pricing.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/monopoly-pricing.blueprint.yaml" }, { "feature": "monte-carlo-simulation", "version": "1.0.0", "description": "Generate many random samples from specified probability distributions to estimate risk/return metrics, value complex securities, and test model sensitivities to distributional assumptions", "tags": [ "quantitative-methods", "simulation", "monte-carlo", "option-pricing", "risk-modelling", "random-sampling", "cfa-level-1" ], "aliases": [ "monte-carlo", "mc-simulation", "random-sampling-simulation", "stochastic-simulation", "scenario-generation", "pricing-by-simulation", "path-simulation" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/monte-carlo-simulation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/monte-carlo-simulation.blueprint.yaml" }, { "feature": "moving-average-overlap-studies", "version": "1.0.0", "description": "A comprehensive suite of moving average and trend overlay indicators that smooth price series, identify trend direction, and generate overlap bands overlaid on price charts", "tags": [ "technical-analysis", "moving-averages", "trend", "overlap", "sma", "ema", "bollinger", "ta-lib", "indicators" ], "aliases": [ "moving-averages", "ma-indicators", "trend-indicators", "overlap-studies", "price-smoothing", "ta-lib-overlap" ], "fitness": 79, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/moving-average-overlap-studies.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/moving-average-overlap-studies.blueprint.yaml" }, { "feature": "mtm-bond-valuation", "version": "1.0.0", "description": "Mark-to-market bond valuation framework for daily portfolio accounting.\nEstablishes pricing hierarchy, accrued interest conventions, and rounding rules.\n", "tags": [ "bonds", "valuation", "mark-to-market", "mtm", "portfolio", "accounting" ], "aliases": [], "fitness": 60, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/mtm-bond-valuation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/mtm-bond-valuation.blueprint.yaml" }, { "feature": "multifactor-models-l2", "version": "1.0.0", "description": "Apply multifactor models — APT, macroeconomic, fundamental (Fama-French), fixed-income factor models, return and risk attribution, portfolio construction and strategic decisions", "tags": [ "portfolio-management", "multifactor-models", "apt", "fama-french", "factor-investing", "risk-attribution", "cfa-level-2" ], "aliases": [ "arbitrage-pricing-theory-l2", "fama-french-three-factor", "macroeconomic-factor-model", "fundamental-factor-model", "factor-return-attribution", "factor-risk-attribution", "smart-beta-factor-construction" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/multifactor-models-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/multifactor-models-l2.blueprint.yaml" }, { "feature": "multinational-operations-l2", "version": "1.0.0", "description": "Translate foreign-currency transactions and financial statements — functional-currency test, current-rate vs temporal methods, hyperinflationary economies, effective tax rate", "tags": [ "fsa", "multinational", "fx-translation", "functional-currency", "hyperinflation", "cfa-level-2" ], "aliases": [ "fx-translation-current-rate", "fx-translation-temporal-method", "functional-currency-determination", "hyperinflationary-translation", "foreign-currency-transaction-accounting", "translation-vs-remeasurement", "multinational-effective-tax-rate" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/multinational-operations-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/multinational-operations-l2.blueprint.yaml" }, { "feature": "multiple-regression-basics-l2", "version": "1.0.0", "description": "Multiple linear regression — formulate model with multiple independent variables, interpret coefficients and intercept, and validate the six classical OLS assumptions", "tags": [ "quant", "multiple-regression", "ols", "cfa-level-2" ], "aliases": [ "multiple-linear-regression-l2", "mlr-assumptions-l2", "mlr-coefficient-interpretation", "ols-multivariate", "regression-mlr-basics" ], "fitness": 69, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/multiple-regression-basics-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/multiple-regression-basics-l2.blueprint.yaml" }, { "feature": "multiple-regression-evaluation-l2", "version": "1.0.0", "description": "Evaluate MLR fit using R-squared, adjusted R-squared, AIC, BIC, F-test for joint hypotheses, and generate forecasts with prediction intervals", "tags": [ "quant", "mlr-evaluation", "goodness-of-fit", "f-test", "cfa-level-2" ], "aliases": [ "mlr-fit-l2", "adjusted-r-squared-mlr", "aic-bic-model-selection", "f-test-joint-hypothesis", "mlr-forecasting-intervals" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/multiple-regression-evaluation-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/multiple-regression-evaluation-l2.blueprint.yaml" }, { "feature": "native-trading-gateway-basic", "version": "1.0.0", "description": "Basic Native Trading Gateway protocol for standard equity order submission and execution tracking", "tags": [ "native-protocol", "equity-orders" ], "aliases": [], "fitness": 59, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/native-trading-gateway-basic.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/native-trading-gateway-basic.blueprint.yaml" }, { "feature": "native-trading-gateway-enhanced", "version": "1.0.0", "description": "Enhanced Native Trading Gateway protocol for derivative instrument trading with multi-leg order support and advanced quote management", "tags": [ "native-protocol", "derivatives", "order-management", "execution-reporting" ], "aliases": [], "fitness": 61, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/native-trading-gateway-enhanced.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/native-trading-gateway-enhanced.blueprint.yaml" }, { "feature": "natural-resources-commodities", "version": "1.0.0", "description": "Invest in commodities through spot, futures, and equity of producers; decompose commodity futures total return into spot, collateral, and roll yield and address contango and backwardation", "tags": [ "commodities", "futures", "contango", "backwardation", "roll-yield", "cfa-level-1" ], "aliases": [ "commodity-futures-return", "roll-yield", "spot-yield", "collateral-yield", "commodity-spot-price", "commodity-equity-exposure" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/natural-resources-commodities.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/natural-resources-commodities.blueprint.yaml" }, { "feature": "network-configuration-guide", "version": "1.0.0", "description": "Network configuration requirements for JSE trading and market data connectivity including multicast routing and failover mechanisms", "tags": [ "connectivity", "network", "multicast", "configuration", "trading" ], "aliases": [], "fitness": 73, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/network-configuration-guide.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/network-configuration-guide.blueprint.yaml" }, { "feature": "oligopoly-pricing", "version": "1.0.0", "description": "Analyse oligopoly pricing and output decisions using Cournot output competition, Nash equilibrium, Stackelberg leadership, kinked demand, and cartel models", "tags": [ "economics", "microeconomics", "oligopoly", "game-theory", "nash-equilibrium", "cournot", "cartel", "cfa-level-1" ], "aliases": [ "cournot-model", "nash-equilibrium", "stackelberg-leadership", "kinked-demand", "oligopoly-cartel", "strategic-pricing" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/oligopoly-pricing.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/oligopoly-pricing.blueprint.yaml" }, { "feature": "option-pricing-cash-flow-additivity", "version": "1.0.0", "description": "Price a European option in a one-period binomial model via the cash-flow-additivity replication approach — a portfolio of underlying plus risk-free bond that matches the option payoff", "tags": [ "quantitative-methods", "time-value-of-money", "options", "binomial", "replication", "no-arbitrage", "cfa-level-1" ], "aliases": [ "cash-flow-additivity-option", "one-period-binomial-replication", "option-replicating-portfolio", "risk-neutral-pricing-cfa", "call-pricing-replication", "put-pricing-replication", "option-replication-cfa" ], "fitness": 86, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/option-pricing-cash-flow-additivity.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/option-pricing-cash-flow-additivity.blueprint.yaml" }, { "feature": "options-contracts-features", "version": "1.0.0", "description": "Characterise call and put options by style (American, European, Bermudan), moneyness, intrinsic and time value, and compute payoff and profit diagrams at expiry", "tags": [ "derivatives", "options", "call", "put", "moneyness", "payoff", "cfa-level-1" ], "aliases": [ "call-option", "put-option", "american-option", "european-option", "option-moneyness", "option-payoff" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/options-contracts-features.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/options-contracts-features.blueprint.yaml" }, { "feature": "options-put-call-parity", "version": "1.0.0", "description": "Apply put-call parity on non-dividend, dividend-paying, and forward-style options to derive synthetic positions, arbitrage, and lower/upper option-value bounds", "tags": [ "derivatives", "options", "put-call-parity", "synthetic-position", "arbitrage", "cfa-level-1" ], "aliases": [ "put-call-parity-equation", "synthetic-call", "synthetic-put", "option-bounds", "put-call-forward-parity", "protective-put-replication" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/options-put-call-parity.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/options-put-call-parity.blueprint.yaml" }, { "feature": "options-strategies-l3", "version": "1.0.0", "description": "Options strategies for portfolio management — covered calls, protective puts, spreads, straddles, collars, volatility skew, and equity risk modification", "tags": [ "portfolio-management", "options", "derivatives", "covered-call", "protective-put", "spread", "straddle", "collar", "volatility", "cfa-level-3" ], "aliases": [ "covered-call-strategy-l3", "protective-put-strategy-l3", "options-spreads-l3", "bull-bear-spread-l3", "straddle-strategy-l3", "collar-strategy-l3", "calendar-spread-l3", "implied-volatility-skew-l3", "synthetic-forward-l3" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/options-strategies-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/options-strategies-l3.blueprint.yaml" }, { "feature": "order-types-attributes-management", "version": "1.0.0", "description": "Equity market order types (Market, Limit, Stop, Stop-Limit), order attributes, modifiers, lifecycle (submission to execution/cancellation), and execution rules.\n", "tags": [ "order-management", "order-types", "order-lifecycle", "execution-rules", "price-time-priority" ], "aliases": [ "order-submission", "order-execution", "order-types-and-attributes", "order-management-system", "execution-rules", "order-lifecycle-management", "time-in-force", "order-modifiers" ], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/order-types-attributes-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/order-types-attributes-management.blueprint.yaml" }, { "feature": "order-types-execution", "version": "1.0.0", "description": "Classify and validate trading orders — market, limit, stop, stop-limit — along with validity and clearing instructions that govern execution behaviour", "tags": [ "equity", "orders", "market-microstructure", "execution", "cfa-level-1" ], "aliases": [ "market-order", "limit-order", "stop-order", "stop-limit-order", "order-time-in-force-exec", "order-validity-instruction" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/order-types-execution.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/order-types-execution.blueprint.yaml" }, { "feature": "overview-asset-allocation-l3", "version": "1.0.0", "description": "Asset allocation framework — governance, economic balance sheet, SAA approaches (asset-only, liability-relative, goals-based), implementation and rebalancing", "tags": [ "portfolio-management", "asset-allocation", "strategic-asset-allocation", "liability-relative", "goals-based", "rebalancing", "cfa-level-3" ], "aliases": [ "asset-allocation-overview-l3", "strategic-asset-allocation-l3", "liability-relative-allocation-l3", "goals-based-allocation-overview-l3", "investment-governance-l3", "economic-balance-sheet-l3", "asset-allocation-rebalancing-l3" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/overview-asset-allocation-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/overview-asset-allocation-l3.blueprint.yaml" }, { "feature": "parametric-vs-nonparametric-tests", "version": "1.0.0", "description": "Choose between parametric and nonparametric hypothesis tests based on distributional assumptions, outliers, rank-based data, and whether the hypothesis concerns a parameter", "tags": [ "quantitative-methods", "hypothesis-testing", "nonparametric", "parametric", "rank-tests", "robust-statistics", "cfa-level-1" ], "aliases": [ "nonparametric-tests", "parametric-tests", "rank-based-tests", "distribution-free-tests", "wilcoxon-test", "mann-whitney-test", "sign-test" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/parametric-vs-nonparametric-tests.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/parametric-vs-nonparametric-tests.blueprint.yaml" }, { "feature": "passive-equity-investing-l3", "version": "1.0.0", "description": "Passive equity investment strategies — index construction, vehicle selection, replication methods, tracking error management, attribution, and investor engagement", "tags": [ "portfolio-management", "equity", "passive-investing", "index-investing", "etf", "tracking-error", "replication", "factor-based-index", "cfa-level-3" ], "aliases": [ "equity-index-investing-l3", "passive-equity-replication-l3", "etf-portfolio-l3", "tracking-error-management-l3", "equity-index-construction-l3", "factor-based-indexing-l3", "stratified-sampling-equity-l3" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/passive-equity-investing-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/passive-equity-investing-l3.blueprint.yaml" }, { "feature": "portfolio-efficient-frontier", "version": "1.0.0", "description": "Construct the minimum-variance frontier and efficient frontier of risky assets, identify the minimum-variance portfolio, and locate the optimal risky portfolio given a risk-free asset", "tags": [ "portfolio-management", "efficient-frontier", "markowitz", "mvp", "optimal-portfolio", "cfa-level-1" ], "aliases": [ "minimum-variance-frontier", "markowitz-frontier", "mvp-portfolio", "tangency-portfolio", "optimal-risky-portfolio", "efficient-set" ], "fitness": 77, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/portfolio-efficient-frontier.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/portfolio-efficient-frontier.blueprint.yaml" }, { "feature": "portfolio-expected-return", "version": "1.0.0", "description": "Compute the expected return of a portfolio as the weighted average of the expected returns on its component securities using currency-weighted portfolio weights", "tags": [ "quantitative-methods", "portfolio-mathematics", "expected-return", "portfolio-weights", "modern-portfolio-theory", "cfa-level-1" ], "aliases": [ "portfolio-return", "weighted-average-return", "expected-portfolio-return", "portfolio-e-r", "portfolio-mean-return", "weighted-return" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/portfolio-expected-return.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/portfolio-expected-return.blueprint.yaml" }, { "feature": "portfolio-expected-return-variance", "version": "1.0.0", "description": "Compute portfolio expected return, variance, and standard deviation using asset weights, covariances, and correlations, and show how diversification reduces non-systematic risk", "tags": [ "portfolio-management", "mean-variance", "covariance", "correlation", "diversification", "cfa-level-1" ], "aliases": [ "portfolio-variance-cfa", "portfolio-covariance-cfa", "two-asset-portfolio-risk", "portfolio-correlation-benefit", "markowitz-mean-variance", "variance-covariance-matrix" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/portfolio-expected-return-variance.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/portfolio-expected-return-variance.blueprint.yaml" }, { "feature": "portfolio-management-case-studies-l3", "version": "1.0.0", "description": "Applied portfolio management case studies — institutional liquidity management, ESG integration, lifecycle private wealth risk, and institutional enterprise risk management", "tags": [ "portfolio-management", "case-study", "liquidity-management", "esg-integration", "enterprise-risk-management", "lifecycle-investing", "institutional-risk", "cfa-level-3" ], "aliases": [ "institutional-case-study-l3", "private-wealth-case-study-l3", "institutional-risk-case-study-l3", "esg-portfolio-integration-l3", "liquidity-profiling-l3", "enterprise-risk-management-l3", "universal-ownership-l3" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/portfolio-management-case-studies-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/portfolio-management-case-studies-l3.blueprint.yaml" }, { "feature": "portfolio-management-process", "version": "1.0.0", "description": "Describe the three-step portfolio management process (planning, execution, feedback), types of investors, active vs. passive management, and the asset management industry structure", "tags": [ "portfolio-management", "process", "active-passive", "investor-types", "cfa-level-1" ], "aliases": [ "planning-execution-feedback", "portfolio-lifecycle", "active-vs-passive", "asset-management-industry", "mutual-funds-etfs" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/portfolio-management-process.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/portfolio-management-process.blueprint.yaml" }, { "feature": "portfolio-performance-evaluation-l3", "version": "1.0.0", "description": "Portfolio performance evaluation — return attribution (BHB, Brinson-Fachler), FI attribution, risk attribution, benchmark quality, appraisal measures, capture ratios, and skill evaluation", "tags": [ "portfolio-management", "performance-attribution", "brinson-hood-beebower", "information-ratio", "sharpe-ratio", "benchmark-quality", "capture-ratio", "drawdown", "cfa-level-3" ], "aliases": [ "performance-attribution-l3", "brinson-hood-beebower-l3", "fi-return-attribution-l3", "risk-attribution-l3", "benchmark-selection-l3", "appraisal-measures-l3", "capture-ratio-l3", "manager-skill-evaluation-l3" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/portfolio-performance-evaluation-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/portfolio-performance-evaluation-l3.blueprint.yaml" }, { "feature": "portfolio-performance-measures", "version": "1.0.0", "description": "Compute Sharpe ratio, Treynor ratio, M-squared, Jensen's alpha, and security characteristic line to evaluate risk-adjusted performance against benchmarks", "tags": [ "portfolio-management", "sharpe-ratio", "treynor-ratio", "jensens-alpha", "m-squared", "cfa-level-1" ], "aliases": [ "sharpe-ratio", "treynor-ratio", "m-squared-rap", "jensens-alpha", "security-characteristic-line", "risk-adjusted-performance" ], "fitness": 65, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/portfolio-performance-measures.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/portfolio-performance-measures.blueprint.yaml" }, { "feature": "portfolio-variance-covariance", "version": "1.0.0", "description": "Compute portfolio variance and standard deviation from asset weights and the covariance matrix — the foundation of Markowitz mean-variance optimisation and diversification", "tags": [ "quantitative-methods", "portfolio-mathematics", "portfolio-variance", "covariance-matrix", "markowitz", "diversification", "mpt", "cfa-level-1" ], "aliases": [ "portfolio-variance", "portfolio-standard-deviation", "portfolio-risk", "markowitz-variance", "covariance-matrix-variance", "portfolio-sigma", "diversification-benefit" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/portfolio-variance-covariance.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/portfolio-variance-covariance.blueprint.yaml" }, { "feature": "positions-leverage-margin", "version": "1.0.0", "description": "Compute returns on long, short, and leveraged positions including margin requirements, maintenance calls, and the leverage ratio effect on equity returns", "tags": [ "equity", "leverage", "margin", "short-selling", "returns", "cfa-level-1" ], "aliases": [ "long-position", "short-sale", "margin-buying", "leveraged-position-return", "maintenance-margin-call", "margin-call" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/positions-leverage-margin.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/positions-leverage-margin.blueprint.yaml" }, { "feature": "post-trade-gateway-fix", "version": "1.0.0", "description": "FIX 5.0 SP2 post-trade gateway for trade reporting, allocations, confirmations and give-ups", "tags": [ "fix", "post-trade", "trade-reporting", "allocation", "confirmation", "settlement" ], "aliases": [ "post-trade-fix-gateway", "trade-capture-fix", "allocation-fix", "trade-reporting-fix", "ptg-fix" ], "fitness": 73, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/post-trade-gateway-fix.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/post-trade-gateway-fix.blueprint.yaml" }, { "feature": "price-transform-indicators", "version": "1.0.0", "description": "Single-bar OHLC price transformation functions that synthesize a representative scalar price from open, high, low, and close without any time-period smoothing", "tags": [ "technical-analysis", "price-transform", "avgprice", "medprice", "typprice", "wclprice", "ta-lib", "indicators" ], "aliases": [ "price-transforms", "ohlc-transforms", "representative-price", "ta-lib-price-transform", "price-synthesis" ], "fitness": 76, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/price-transform-indicators.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/price-transform-indicators.blueprint.yaml" }, { "feature": "primary-secondary-markets", "version": "1.0.0", "description": "Distinguish primary issuance (IPO, seasoned offering, private placement) from secondary trading venues and evaluate call, continuous, quote-driven, and order-driven execution mechanisms", "tags": [ "equity", "ipo", "primary-market", "secondary-market", "exchange-structure", "cfa-level-1" ], "aliases": [ "initial-public-offering", "seasoned-equity-offering", "private-placement", "call-market", "continuous-market", "quote-driven-market", "order-driven-market" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/primary-secondary-markets.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/primary-secondary-markets.blueprint.yaml" }, { "feature": "principles-asset-allocation-l3", "version": "1.0.0", "description": "Asset allocation methods — MVO, Monte Carlo, Black-Litterman, liability-relative, goals-based sub-portfolios, risk parity, factor-based, rebalancing heuristics", "tags": [ "portfolio-management", "asset-allocation", "mean-variance-optimization", "black-litterman", "liability-relative", "goals-based", "risk-parity", "cfa-level-3" ], "aliases": [ "mean-variance-optimization-l3", "mvo-asset-allocation-l3", "black-litterman-allocation-l3", "liability-relative-asset-allocation-l3", "goals-based-sub-portfolios-l3", "risk-parity-allocation-l3", "factor-based-asset-allocation-l3", "monte-carlo-asset-allocation-l3" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/principles-asset-allocation-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/principles-asset-allocation-l3.blueprint.yaml" }, { "feature": "private-company-valuation-l2", "version": "1.0.0", "description": "Value private companies — public vs private differences, earnings normalisation, discount rate models, lack of control and marketability discounts, income/market/excess-earnings approaches", "tags": [ "equity-valuation", "private-company", "dlom", "dloc", "build-up-method", "cfa-level-2" ], "aliases": [ "private-company-discount-rate", "lack-of-marketability-discount", "lack-of-control-discount", "excess-earnings-method", "guideline-public-company-method", "guideline-transactions-method", "earnings-normalization-private" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/private-company-valuation-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/private-company-valuation-l2.blueprint.yaml" }, { "feature": "private-debt-investments", "version": "1.0.0", "description": "Evaluate private debt categories (direct lending, mezzanine, distressed, venture debt, unitranche) by seniority, yield, covenants, and risk-return and compare with private equity", "tags": [ "private-debt", "direct-lending", "mezzanine", "distressed-debt", "cfa-level-1" ], "aliases": [ "direct-lending", "mezzanine-debt", "distressed-debt", "venture-debt", "unitranche-loan", "private-credit" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/private-debt-investments.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/private-debt-investments.blueprint.yaml" }, { "feature": "private-equity-investments", "version": "1.0.0", "description": "Analyse private equity categories (buyout, venture, growth), investment characteristics, exit strategies, risk-return profile, and diversification benefits", "tags": [ "private-equity", "buyout", "venture-capital", "growth-equity", "lbo", "cfa-level-1" ], "aliases": [ "pe-buyout", "venture-capital", "growth-equity", "leveraged-buyout", "pe-exit-strategy", "secondary-pe-sale" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/private-equity-investments.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/private-equity-investments.blueprint.yaml" }, { "feature": "private-public-equity", "version": "1.0.0", "description": "Compare private and public equity along liquidity, disclosure, governance, and valuation axes, and describe exit routes including IPO, trade sale, secondary, and dividend recap", "tags": [ "equity", "private-equity", "public-equity", "liquidity", "disclosure", "cfa-level-1" ], "aliases": [ "private-equity-securities", "public-equity-securities", "venture-capital-stage", "leveraged-buyout-stage", "pe-exit-routes", "private-investment" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/private-public-equity.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/private-public-equity.blueprint.yaml" }, { "feature": "private-wealth-management-overview-l3", "version": "1.0.0", "description": "Private wealth management framework — client profiling, goal setting, risk tolerance, capital sufficiency analysis, IPS design, portfolio construction, and reporting for private clients", "tags": [ "portfolio-management", "private-wealth", "wealth-management", "investment-policy-statement", "capital-sufficiency", "risk-tolerance", "retirement-planning", "cfa-level-3" ], "aliases": [ "private-client-management-l3", "private-wealth-ips-l3", "capital-sufficiency-analysis-l3", "private-client-risk-tolerance-l3", "retirement-planning-wealth-l3", "private-client-goals-l3", "wealth-manager-skills-l3" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/private-wealth-management-overview-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/private-wealth-management-overview-l3.blueprint.yaml" }, { "feature": "private-wealth-topics-l3", "version": "1.0.0", "description": "Advanced private wealth topics — tax management, asset location, concentrated positions, estate planning, charitable strategies, and generational wealth transfer", "tags": [ "portfolio-management", "private-wealth", "tax-management", "asset-location", "concentrated-positions", "estate-planning", "charitable-giving", "generational-wealth", "cfa-level-3" ], "aliases": [ "tax-management-private-wealth-l3", "asset-location-private-wealth-l3", "concentrated-position-management-l3", "estate-planning-portfolio-l3", "charitable-giving-strategy-l3", "tax-loss-harvesting-l3", "generational-wealth-transfer-l3", "equity-monetization-l3" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/private-wealth-topics-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/private-wealth-topics-l3.blueprint.yaml" }, { "feature": "probability-tree-conditional-expectation", "version": "1.0.0", "description": "Model sequential uncertain events as a probability tree and compute conditional expected values, conditional variances, and joint probabilities along each branch", "tags": [ "quantitative-methods", "probability", "probability-tree", "conditional-expectation", "conditional-probability", "scenario-analysis", "cfa-level-1" ], "aliases": [ "probability-tree", "decision-tree-probabilities", "conditional-expectation", "conditional-expected-value", "conditional-variance", "scenario-tree", "tree-diagram" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/probability-tree-conditional-expectation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/probability-tree-conditional-expectation.blueprint.yaml" }, { "feature": "profit-maximization-breakeven", "version": "1.0.0", "description": "Determine the profit-maximising output, breakeven quantity, and shutdown point of a firm using marginal revenue equals marginal cost and short-run average cost analysis", "tags": [ "economics", "microeconomics", "profit-maximization", "breakeven", "shutdown", "mr-mc", "cfa-level-1" ], "aliases": [ "mr-mc-rule", "shutdown-decision", "breakeven-analysis", "firm-optimisation", "short-run-shutdown", "economies-of-scale" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/profit-maximization-breakeven.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/profit-maximization-breakeven.blueprint.yaml" }, { "feature": "quantiles-and-location", "version": "1.0.0", "description": "Compute quantiles (quartiles, quintiles, deciles, percentiles) and location measures such as the interquartile range and box-and-whisker summary to describe distribution shape", "tags": [ "quantitative-methods", "descriptive-statistics", "quantiles", "percentiles", "quartiles", "box-plot", "interquartile-range", "cfa-level-1" ], "aliases": [ "percentile", "quartile", "quintile", "decile", "interquartile-range", "iqr", "box-plot", "box-and-whiskers", "location-measure" ], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/quantiles-and-location.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/quantiles-and-location.blueprint.yaml" }, { "feature": "real-estate-investment-l2", "version": "1.0.0", "description": "Analyse real estate investments — property types, risk factors, appraisal vs transaction indexes, REIT structures, NAV per share, FFO/AFFO multiples, private vs public comparison", "tags": [ "alternative-investments", "real-estate", "reits", "nav", "ffo", "affo", "cfa-level-2" ], "aliases": [ "reit-valuation-l2", "net-asset-value-per-share-reit", "ffo-affo-multiples", "real-estate-index-types", "real-estate-property-types", "real-estate-risk-factors", "private-vs-public-real-estate" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/real-estate-investment-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/real-estate-investment-l2.blueprint.yaml" }, { "feature": "real-estate-investments", "version": "1.0.0", "description": "Evaluate direct and indirect real estate investment structures, sources of return (income, appreciation), property sectors, and real estate diversification benefits", "tags": [ "real-estate", "reits", "direct-property", "commercial-real-estate", "cfa-level-1" ], "aliases": [ "direct-real-estate", "reit-investment", "private-reit", "real-estate-sectors", "cre-investment", "property-investment" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/real-estate-investments.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/real-estate-investments.blueprint.yaml" }, { "feature": "real-return", "version": "1.0.0", "description": "Convert a nominal return to a real (inflation-adjusted) return using the Fisher relation — captures the change in purchasing power", "tags": [ "quantitative-methods", "return-measures", "real-return", "inflation", "fisher", "cfa-level-1" ], "aliases": [ "inflation-adjusted-return", "fisher-real-return", "purchasing-power-return", "real-rate" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/real-return.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/real-return.blueprint.yaml" }, { "feature": "reference-data-management", "version": "1.0.0", "description": "Daily instrument master, trading calendars, session schedules, corporate-action calendar and static reference data", "tags": [ "reference-data", "master-data", "instruments", "calendars", "trading-sessions" ], "aliases": [ "reference-data", "instrument-master", "ref-data-management", "instrument-reference-data", "static-data-feed" ], "fitness": 67, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/reference-data-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/reference-data-management.blueprint.yaml" }, { "feature": "regression-anova-table", "version": "1.0.0", "description": "Construct and interpret the ANOVA table for a simple linear regression — decomposing total variation into regression and error components and computing the overall F-test", "tags": [ "quantitative-methods", "regression", "anova", "variance-decomposition", "f-test", "cfa-level-1" ], "aliases": [ "analysis-of-variance-table", "regression-anova", "ss-decomposition", "mean-square-regression", "mean-square-error", "variation-decomposition" ], "fitness": 79, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/regression-anova-table.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/regression-anova-table.blueprint.yaml" }, { "feature": "regression-assumptions", "version": "1.0.0", "description": "Verify the four classical assumptions of simple linear regression — linearity, homoskedasticity, independence, and normality — using residual diagnostics and plots", "tags": [ "quantitative-methods", "regression", "assumptions", "diagnostics", "residual-analysis", "cfa-level-1" ], "aliases": [ "ols-assumptions", "regression-diagnostics", "homoskedasticity", "residual-plot-analysis", "gauss-markov-assumptions", "linearity-check" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/regression-assumptions.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/regression-assumptions.blueprint.yaml" }, { "feature": "regression-coefficient-hypothesis-tests", "version": "1.0.0", "description": "Test hypotheses about the slope and intercept of a simple linear regression using the t-statistic on each estimated coefficient", "tags": [ "quantitative-methods", "regression", "hypothesis-testing", "t-test", "slope-test", "cfa-level-1" ], "aliases": [ "regression-slope-test", "regression-intercept-test", "coefficient-t-test", "slope-significance", "beta-t-test", "regression-inference" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/regression-coefficient-hypothesis-tests.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/regression-coefficient-hypothesis-tests.blueprint.yaml" }, { "feature": "regression-extensions-l2", "version": "1.0.0", "description": "Apply regression extensions — influence analysis (leverage, studentised residuals, Cook's D), dummy variables (intercept and slope), and qualitative dependents (logit, probit)", "tags": [ "quant", "influence-analysis", "dummy-variables", "logit", "probit", "cfa-level-2" ], "aliases": [ "influence-diagnostics-l2", "cooks-distance", "leverage-points-regression", "dummy-variable-regression", "logit-probit-models", "qualitative-dependent-variable" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/regression-extensions-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/regression-extensions-l2.blueprint.yaml" }, { "feature": "regression-functional-forms", "version": "1.0.0", "description": "Transform variables in a simple linear regression to capture non-linear relationships using log-lin, lin-log, log-log, and reciprocal functional forms", "tags": [ "quantitative-methods", "regression", "functional-forms", "log-linear", "elasticity", "transformations", "cfa-level-1" ], "aliases": [ "log-lin-model", "lin-log-model", "log-log-model", "elasticity-regression", "non-linear-transformations", "variable-transformation" ], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/regression-functional-forms.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/regression-functional-forms.blueprint.yaml" }, { "feature": "regression-goodness-of-fit", "version": "1.0.0", "description": "Measure how well a simple linear regression explains the dependent variable using R-squared, the standard error of estimate, and the overall F-test", "tags": [ "quantitative-methods", "regression", "r-squared", "standard-error-estimate", "f-test", "goodness-of-fit", "cfa-level-1" ], "aliases": [ "r-squared", "coefficient-of-determination", "see-standard-error-of-estimate", "regression-f-test", "overall-fit-test", "explained-variation" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/regression-goodness-of-fit.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/regression-goodness-of-fit.blueprint.yaml" }, { "feature": "regression-misspecification-l2", "version": "1.0.0", "description": "Diagnose and correct regression misspecification — heteroskedasticity, serial correlation, and multicollinearity — using Breusch-Pagan, Durbin-Watson/Breusch-Godfrey, and VIF", "tags": [ "quant", "misspecification", "heteroskedasticity", "serial-correlation", "multicollinearity", "cfa-level-2" ], "aliases": [ "heteroskedasticity-tests-l2", "serial-correlation-l2", "multicollinearity-vif", "breusch-pagan-test", "durbin-watson-statistic", "breusch-godfrey-test", "white-corrected-standard-errors" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/regression-misspecification-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/regression-misspecification-l2.blueprint.yaml" }, { "feature": "regression-prediction-interval", "version": "1.0.0", "description": "Generate point forecasts and prediction intervals for a new observation of Y given a value of X using an estimated simple linear regression", "tags": [ "quantitative-methods", "regression", "prediction", "forecast", "prediction-interval", "cfa-level-1" ], "aliases": [ "regression-forecast", "y-hat-interval", "forecast-standard-error", "prediction-band", "conditional-forecast", "new-observation-interval" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/regression-prediction-interval.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/regression-prediction-interval.blueprint.yaml" }, { "feature": "regulation-28-compliance", "version": "1.0.0", "description": "Prudential investment-limit compliance monitoring for SA retirement funds under Pension Funds Act Regulation 28.", "tags": [ "compliance", "regulatory", "south-africa", "pension-funds", "investment-limits", "fsca", "popia", "regulation-28" ], "aliases": [ "reg-28", "reg28", "regulation-28", "pension-fund-investment-limits", "prudential-investment-limits", "retirement-fund-compliance", "fsca-reg-28", "pension-funds-act-reg-28" ], "fitness": 87, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/regulation-28-compliance.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/regulation-28-compliance.blueprint.yaml" }, { "feature": "regulatory-news-feed-fast", "version": "1.0.0", "description": "Real-time regulatory news via FAST UDP multicast with TCP replay.", "tags": [], "aliases": [], "fitness": 63, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/regulatory-news-feed-fast.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/regulatory-news-feed-fast.blueprint.yaml" }, { "feature": "reported-trade-commissions", "version": "1.0.0", "description": "Charge commissions to counterparty trading members in reported trades via reference fields and matching requirements.", "tags": [ "commission", "trade-matching", "counterparty", "post-trade", "financial-services" ], "aliases": [ "commission-charging", "counterparty-commission", "off-book-commission", "commission-reference-matching", "reported-trade-commission-settlement" ], "fitness": 87, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/reported-trade-commissions.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/reported-trade-commissions.blueprint.yaml" }, { "feature": "residual-income-valuation-l2", "version": "1.0.0", "description": "Value equity via residual income — RI definition, general RI model, single-stage and multistage RI, persistence, clean surplus violations, and accounting adjustments", "tags": [ "equity-valuation", "residual-income", "eva", "clean-surplus", "cfa-level-2" ], "aliases": [ "economic-value-added-l2", "rim-residual-income-model", "single-stage-residual-income", "multistage-residual-income", "clean-surplus-relationship", "residual-income-persistence", "eva-mva-valuation" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/residual-income-valuation-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/residual-income-valuation-l2.blueprint.yaml" }, { "feature": "risk-budgeting-tolerance", "version": "1.0.0", "description": "Set enterprise risk tolerance, allocate a risk budget across business units and strategies, and measure marginal contribution to risk for consistent ex-ante capital allocation", "tags": [ "risk-management", "risk-budget", "risk-tolerance", "marginal-var", "cfa-level-1" ], "aliases": [ "risk-budget-allocation", "marginal-contribution-to-risk", "risk-tolerance-framework", "var-budget", "tracking-error-budget" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/risk-budgeting-tolerance.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/risk-budgeting-tolerance.blueprint.yaml" }, { "feature": "risk-management-framework", "version": "1.0.0", "description": "Establish an enterprise risk management framework with governance, risk tolerance, risk identification (financial and non-financial), and risk measurement, mitigation, and monitoring", "tags": [ "risk-management", "enterprise-risk", "governance", "financial-risk", "non-financial-risk", "cfa-level-1" ], "aliases": [ "enterprise-risk-management", "risk-governance", "risk-tolerance-policy", "financial-vs-non-financial-risk", "erm-framework" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/risk-management-framework.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/risk-management-framework.blueprint.yaml" }, { "feature": "safety-first-shortfall-risk", "version": "1.0.0", "description": "Apply Roy's safety-first criterion — select the portfolio that minimises the probability of return falling below a threshold by maximising the safety-first ratio", "tags": [ "quantitative-methods", "portfolio-mathematics", "safety-first", "shortfall-risk", "roy-criterion", "sharpe-ratio", "downside-risk", "cfa-level-1" ], "aliases": [ "roy-safety-first", "safety-first-ratio", "sfratio", "shortfall-probability", "roy-criterion", "downside-probability", "minimum-acceptable-return" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/safety-first-shortfall-risk.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/safety-first-shortfall-risk.blueprint.yaml" }, { "feature": "sampling-methods", "version": "1.0.0", "description": "Select a sample from a population using probability (simple random, stratified, cluster) or non-probability (convenience, judgmental) methods, trading representativeness against cost and speed", "tags": [ "quantitative-methods", "sampling", "probability-sampling", "stratified-sampling", "cluster-sampling", "sampling-error", "cfa-level-1" ], "aliases": [ "simple-random-sampling", "stratified-sampling", "cluster-sampling", "convenience-sampling", "judgmental-sampling", "sampling-design", "sample-selection" ], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/sampling-methods.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/sampling-methods.blueprint.yaml" }, { "feature": "sens-real-time-news", "version": "1.0.0", "description": "SENS real-time regulatory news feed (NewsML format) for issuer announcements, trading halts, and corporate actions", "tags": [ "sens", "regulatory-news", "newsml", "real-time", "announcements", "trading-halts" ], "aliases": [ "sens-news-feed", "regulatory-news-feed", "sens-newsml", "real-time-announcements", "sens-rtf" ], "fitness": 73, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/sens-real-time-news.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/sens-real-time-news.blueprint.yaml" }, { "feature": "simple-linear-regression-ols", "version": "1.0.0", "description": "Estimate the intercept and slope of a simple linear regression of Y on X using ordinary least squares — minimising the sum of squared vertical residuals", "tags": [ "quantitative-methods", "regression", "ols", "least-squares", "slr", "cfa-level-1" ], "aliases": [ "ols-regression", "least-squares-regression", "slr", "univariate-regression", "linear-fit", "bivariate-regression" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/simple-linear-regression-ols.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/simple-linear-regression-ols.blueprint.yaml" }, { "feature": "skewness", "version": "1.0.0", "description": "Compute skewness — the standardised third central moment — measuring the asymmetry of a return distribution around its mean", "tags": [ "quantitative-methods", "descriptive-statistics", "skewness", "higher-moments", "distribution-shape", "cfa-level-1" ], "aliases": [ "sample-skewness", "third-moment", "asymmetry", "positive-skew", "negative-skew", "left-skew", "right-skew" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/skewness.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/skewness.blueprint.yaml" }, { "feature": "standard-error-sample-mean", "version": "1.0.0", "description": "Compute the standard error of the sample mean — the dispersion of the sampling distribution — using known or estimated population standard deviation divided by the square root of the sample size", "tags": [ "quantitative-methods", "standard-error", "sampling-distribution", "inference", "sample-mean", "cfa-level-1" ], "aliases": [ "standard-error", "sem", "se-mean", "sample-mean-se", "sigma-x-bar", "sampling-error-mean" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/standard-error-sample-mean.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/standard-error-sample-mean.blueprint.yaml" }, { "feature": "standard-i-professionalism", "version": "1.0.0", "description": "Apply Standard I (Professionalism) — Knowledge of the Law, Independence & Objectivity, Misrepresentation, Misconduct, and Competence — to investment professional conduct", "tags": [ "ethics", "standard-i", "professionalism", "cfa-level-1" ], "aliases": [ "standard-i-a-law", "standard-i-b-independence", "standard-i-c-misrepresentation", "standard-i-d-misconduct", "standard-i-e-competence", "professionalism-standard" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/standard-i-professionalism.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/standard-i-professionalism.blueprint.yaml" }, { "feature": "standard-ii-integrity-capital-markets", "version": "1.0.0", "description": "Apply Standard II (Integrity of Capital Markets) — Material Nonpublic Information and Market Manipulation — to investment research, trading, and execution practices", "tags": [ "ethics", "standard-ii", "mnpi", "market-manipulation", "cfa-level-1" ], "aliases": [ "standard-ii-a-mnpi", "material-nonpublic-information", "standard-ii-b-market-manipulation", "insider-trading-standard", "information-based-manipulation", "transaction-based-manipulation" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/standard-ii-integrity-capital-markets.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/standard-ii-integrity-capital-markets.blueprint.yaml" }, { "feature": "standard-iii-duties-to-clients", "version": "1.0.0", "description": "Apply Standard III (Duties to Clients) — Loyalty Prudence & Care, Fair Dealing, Suitability, Performance Presentation, and Preservation of Confidentiality — to client interactions", "tags": [ "ethics", "standard-iii", "fiduciary", "suitability", "confidentiality", "cfa-level-1" ], "aliases": [ "standard-iii-a-loyalty", "standard-iii-b-fair-dealing", "standard-iii-c-suitability", "standard-iii-d-performance-presentation", "standard-iii-e-confidentiality", "fiduciary-duty-standard" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/standard-iii-duties-to-clients.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/standard-iii-duties-to-clients.blueprint.yaml" }, { "feature": "standard-iv-duties-to-employers", "version": "1.0.0", "description": "Apply Standard IV (Duties to Employers) — Loyalty, Additional Compensation Arrangements, and Responsibilities of Supervisors — to employment and managerial situations", "tags": [ "ethics", "standard-iv", "duties-to-employer", "supervisor-responsibility", "cfa-level-1" ], "aliases": [ "standard-iv-a-loyalty", "standard-iv-b-additional-compensation", "standard-iv-c-supervisor-responsibilities", "duties-to-employer", "whistleblowing-exception" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/standard-iv-duties-to-employers.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/standard-iv-duties-to-employers.blueprint.yaml" }, { "feature": "standard-v-investment-analysis", "version": "1.0.0", "description": "Apply Standard V (Investment Analysis, Recommendations, and Actions) — Diligence & Reasonable Basis, Communication with Clients, and Record Retention — to research and recommendations", "tags": [ "ethics", "standard-v", "diligence", "communication", "record-retention", "cfa-level-1" ], "aliases": [ "standard-v-a-diligence", "standard-v-b-communication", "standard-v-c-record-retention", "reasonable-basis-recommendations", "research-communication-standard" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/standard-v-investment-analysis.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/standard-v-investment-analysis.blueprint.yaml" }, { "feature": "standard-vi-conflicts-of-interest", "version": "1.0.0", "description": "Apply Standard VI (Conflicts of Interest) — Disclosure of Conflicts, Priority of Transactions, and Referral Fees — to manage real and potential conflicts between clients, employer, and self", "tags": [ "ethics", "standard-vi", "conflicts-of-interest", "priority-of-transactions", "referral-fees", "cfa-level-1" ], "aliases": [ "standard-vi-a-disclosure", "standard-vi-b-priority-transactions", "standard-vi-c-referral-fees", "conflict-disclosure-standard", "personal-trading-priority", "referral-fee-disclosure" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/standard-vi-conflicts-of-interest.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/standard-vi-conflicts-of-interest.blueprint.yaml" }, { "feature": "standard-vii-responsibilities", "version": "1.0.0", "description": "Apply Standard VII (Responsibilities as CFA Member/Candidate) — Conduct in the CFA Program and proper reference to CFA Institute, designation, and program", "tags": [ "ethics", "standard-vii", "cfa-program-conduct", "designation-usage", "cfa-level-1" ], "aliases": [ "standard-vii-a-conduct-as-candidate", "standard-vii-b-reference-to-cfa", "cfa-designation-usage", "candidate-conduct-standard", "cfa-program-integrity" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/standard-vii-responsibilities.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/standard-vii-responsibilities.blueprint.yaml" }, { "feature": "statistical-functions", "version": "1.0.0", "description": "Linear regression and time-series forecast functions that fit a least-squares line to a rolling price window, extracting slope, intercept, endpoint, and one-bar-ahead forecast values", "tags": [ "technical-analysis", "statistics", "linear-regression", "time-series-forecast", "ta-lib", "indicators" ], "aliases": [ "linear-regression", "regression-indicators", "tsf-indicators", "ta-lib-statistics", "price-regression" ], "fitness": 79, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/statistical-functions.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/statistical-functions.blueprint.yaml" }, { "feature": "strategic-asset-allocation", "version": "1.0.0", "description": "Set long-horizon strategic asset allocation using capital market expectations, investor IPS, and portfolio construction principles, and describe new developments and ESG integration", "tags": [ "portfolio-management", "strategic-allocation", "cme", "rebalancing", "esg-integration", "cfa-level-1" ], "aliases": [ "sa-asset-allocation", "capital-market-expectations", "policy-portfolio", "rebalancing-policy", "esg-portfolio-integration" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/strategic-asset-allocation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/strategic-asset-allocation.blueprint.yaml" }, { "feature": "swap-pricing-valuation", "version": "1.0.0", "description": "Price interest-rate, currency, and equity swaps at inception (par swap rate) and value during life using spot-curve discounting and replicating portfolios of bonds", "tags": [ "derivatives", "swap-pricing", "par-swap-rate", "swap-valuation", "cfa-level-1" ], "aliases": [ "par-swap-rate", "swap-valuation", "ir-swap-pricing", "swap-as-bond-portfolio", "fixed-leg-pricing", "floating-leg-value" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/swap-pricing-valuation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/swap-pricing-valuation.blueprint.yaml" }, { "feature": "swaps-contracts-features", "version": "1.0.0", "description": "Characterise interest-rate, currency, equity, and credit-default swaps — notional, payment legs, reset frequency, and collateralisation — and describe how swaps transform cash-flow exposures", "tags": [ "derivatives", "swaps", "interest-rate-swap", "currency-swap", "equity-swap", "cds", "cfa-level-1" ], "aliases": [ "interest-rate-swap", "currency-swap", "equity-swap", "credit-default-swap", "plain-vanilla-swap", "swap-leg" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/swaps-contracts-features.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/swaps-contracts-features.blueprint.yaml" }, { "feature": "swaps-forwards-futures-strategies-l3", "version": "1.0.0", "description": "Derivatives strategies using swaps, forwards and futures — interest rate risk, currency exposure, equity risk, asset allocation, variance swaps, and inferring market expectations", "tags": [ "portfolio-management", "derivatives", "swaps", "futures", "forwards", "interest-rate-risk", "currency-management", "equity-derivatives", "asset-allocation", "cfa-level-3" ], "aliases": [ "interest-rate-swap-strategy-l3", "fixed-income-futures-strategy-l3", "currency-swap-strategy-l3", "equity-swap-strategy-l3", "cash-equitization-l3", "variance-swap-l3", "asset-allocation-derivatives-l3", "futures-market-expectations-l3" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/swaps-forwards-futures-strategies-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/swaps-forwards-futures-strategies-l3.blueprint.yaml" }, { "feature": "systematic-nonsystematic-risk", "version": "1.0.0", "description": "Decompose total risk into systematic (market) and nonsystematic (unique) components, explain diversification of unique risk, and use single-index and market models for estimation", "tags": [ "portfolio-management", "systematic-risk", "unique-risk", "single-index-model", "cfa-level-1" ], "aliases": [ "systematic-risk-decomposition", "unique-risk", "idiosyncratic-risk", "diversifiable-risk", "single-index-model", "market-model" ], "fitness": 67, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/systematic-nonsystematic-risk.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/systematic-nonsystematic-risk.blueprint.yaml" }, { "feature": "target-downside-deviation", "version": "1.0.0", "description": "Compute the target downside deviation (target semideviation) — the square root of the average squared deviations below a target return — a risk measure for investors asymmetrically averse to losses", "tags": [ "quantitative-methods", "descriptive-statistics", "downside-risk", "semideviation", "target-return", "post-modern-portfolio-theory", "cfa-level-1" ], "aliases": [ "target-semideviation", "downside-deviation", "semi-deviation", "downside-risk", "mar-deviation", "below-target-deviation", "sortino-denominator" ], "fitness": 79, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/target-downside-deviation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/target-downside-deviation.blueprint.yaml" }, { "feature": "term-structure-interest-rate-dynamics-l2", "version": "1.0.0", "description": "Analyse term structure — spot, forward, par yields, swap curve, traditional theories (expectations, liquidity, segmented, preferred habitat), yield curve factor models, key rate duration", "tags": [ "fixed-income", "term-structure", "yield-curve", "swap-rate", "key-rate-duration", "cfa-level-2" ], "aliases": [ "spot-forward-rates-l2", "swap-rate-curve", "expectations-theory-term-structure", "liquidity-preference-theory", "preferred-habitat-theory", "yield-curve-factor-model", "key-rate-duration-l2" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/term-structure-interest-rate-dynamics-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/term-structure-interest-rate-dynamics-l2.blueprint.yaml" }, { "feature": "time-series-analysis-l2", "version": "1.0.0", "description": "Build and evaluate time-series models — linear and log-linear trends, AR(p), random walks with unit-root tests, MA, seasonal models, ARMA, and ARCH for conditional volatility", "tags": [ "quant", "time-series", "ar-model", "random-walk", "arch", "seasonality", "cfa-level-2" ], "aliases": [ "ar-time-series-l2", "random-walk-unit-root", "dickey-fuller-test", "moving-average-arima", "arch-conditional-volatility", "log-linear-trend-model", "covariance-stationary-series" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/time-series-analysis-l2.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/time-series-analysis-l2.blueprint.yaml" }, { "feature": "time-weighted-return", "version": "1.0.0", "description": "Calculate time-weighted rate of return by chain-linking sub-period HPRs, neutralising the effect of external cash flow timing for fair manager evaluation", "tags": [ "quantitative-methods", "return-measures", "twr", "gips", "performance", "cfa-level-1" ], "aliases": [ "twr", "time-weighted-rate-of-return", "chain-linked-return", "gips-return", "manager-return" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/time-weighted-return.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/time-weighted-return.blueprint.yaml" }, { "feature": "total-probability-rule", "version": "1.0.0", "description": "Apply the total probability rule and law of total expectation — decomposing an unconditional probability or expectation into a weighted sum over mutually exclusive, exhaustive scenarios", "tags": [ "quantitative-methods", "probability", "total-probability", "law-of-total-expectation", "scenario-analysis", "cfa-level-1" ], "aliases": [ "law-of-total-probability", "total-expectation", "law-of-total-expectation", "unconditional-probability", "unconditional-expectation", "iterated-expectation", "scenario-weighted-expectation" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/total-probability-rule.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/total-probability-rule.blueprint.yaml" }, { "feature": "trade-restrictions-tariffs", "version": "1.0.0", "description": "Model welfare impact of tariffs, quotas, export subsidies, and voluntary export restraints on consumer surplus, producer surplus, government revenue, and deadweight loss", "tags": [ "economics", "international-trade", "tariff", "quota", "export-subsidy", "deadweight-loss", "cfa-level-1" ], "aliases": [ "tariff-analysis", "import-quota", "export-subsidy", "voluntary-export-restraint", "trade-protection", "trade-barriers" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/trade-restrictions-tariffs.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/trade-restrictions-tariffs.blueprint.yaml" }, { "feature": "trade-strategy-execution-l3", "version": "1.0.0", "description": "Trade strategy and execution — motivations to trade, trade strategy selection, reference prices, algorithmic trading, implementation shortfall, trade cost measurement, and governance", "tags": [ "portfolio-management", "trade-execution", "implementation-shortfall", "algorithmic-trading", "best-execution", "market-impact", "vwap", "twap", "cfa-level-3" ], "aliases": [ "trade-execution-l3", "implementation-shortfall-l3", "algorithmic-trading-strategy-l3", "best-execution-governance-l3", "trade-cost-measurement-l3", "market-impact-cost-l3", "trade-benchmarks-l3" ], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/trade-strategy-execution-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/trade-strategy-execution-l3.blueprint.yaml" }, { "feature": "trading-blocs-agreements", "version": "1.0.0", "description": "Classify trading blocs and free trade agreements by depth of integration — FTA, customs union, common market, economic union, monetary union — and assess trade creation vs diversion", "tags": [ "economics", "trading-blocs", "free-trade-agreement", "customs-union", "common-market", "monetary-union", "cfa-level-1" ], "aliases": [ "free-trade-agreement", "customs-union", "common-market", "economic-union", "monetary-union", "regional-integration" ], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/trading-blocs-agreements.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/trading-blocs-agreements.blueprint.yaml" }, { "feature": "trading-gateway-fix", "version": "1.0.0", "description": "FIX 5.0 SP2 order-entry gateway for submitting and managing trading orders", "tags": [ "fix", "order-entry", "trading", "gateway", "real-time", "electronic-communication" ], "aliases": [ "fix-trading-gateway", "fix-order-entry", "fix50sp2-trading", "order-entry-fix", "trading-fix-gateway" ], "fitness": 77, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/trading-gateway-fix.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/trading-gateway-fix.blueprint.yaml" }, { "feature": "volatility-band-indicators", "version": "1.0.0", "description": "A suite of volatility measurement and price band indicators for quantifying market risk, setting dynamic stop levels, and identifying breakout conditions across financial time series", "tags": [ "technical-analysis", "volatility", "atr", "bollinger-bands", "stddev", "risk", "ta-lib", "indicators" ], "aliases": [ "volatility-indicators", "price-bands", "atr-bollinger", "risk-indicators", "ta-lib-volatility", "market-volatility" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/volatility-band-indicators.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/volatility-band-indicators.blueprint.yaml" }, { "feature": "volume-flow-indicators", "version": "1.0.0", "description": "Volume-based flow indicators that track accumulation, distribution, and buying/selling pressure by weighting price action with volume — confirming or diverging from price trend signals", "tags": [ "technical-analysis", "volume", "obv", "accumulation-distribution", "money-flow", "ta-lib", "indicators" ], "aliases": [ "volume-indicators", "accumulation-distribution", "obv-ad-mfi", "money-flow-indicators", "ta-lib-volume", "volume-analysis" ], "fitness": 78, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/volume-flow-indicators.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/volume-flow-indicators.blueprint.yaml" }, { "feature": "working-capital-management", "version": "1.0.0", "description": "Measure cash conversion cycle, liquidity sources, drags and pulls on liquidity, and manage working capital components to optimise operational funding", "tags": [ "corporate-issuers", "working-capital", "liquidity", "cash-conversion-cycle", "short-term-funding", "treasury", "cfa-level-1" ], "aliases": [ "cash-conversion-cycle", "days-sales-outstanding", "days-inventory-outstanding", "days-payable-outstanding", "liquidity-management", "short-term-funding" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/working-capital-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/working-capital-management.blueprint.yaml" }, { "feature": "yield-curve-strategies-l3", "version": "1.0.0", "description": "Active fixed-income yield curve strategies — duration positioning, curve shape trades, key rate durations, multi-currency fixed income, and strategy evaluation framework", "tags": [ "portfolio-management", "fixed-income", "yield-curve", "duration", "convexity", "butterfly-trade", "curve-steepener", "key-rate-duration", "cfa-level-3" ], "aliases": [ "active-fi-yield-curve-l3", "duration-positioning-l3", "curve-steepener-flattener-l3", "butterfly-trade-l3", "key-rate-duration-strategy-l3", "multi-currency-fi-l3", "yield-curve-dynamics-l3" ], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/trading/yield-curve-strategies-l3.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/yield-curve-strategies-l3.blueprint.yaml" } ] }, "notification": { "count": 18, "blueprints": [ { "feature": "delivery-notifications", "version": "1.0.0", "description": "Send automated SMS and email notifications to customers and drivers at each order status change", "tags": [ "fleet", "notifications", "sms", "email", "customer", "driver", "alerts" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/notification/delivery-notifications.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/notification/delivery-notifications.blueprint.yaml" }, { "feature": "device-alarm-notifications", "version": "1.0.0", "description": "Process hardware alarm codes embedded in device position transmissions, generate individual alert events per alarm type (SOS, tamper, vibration, accident, jamming, etc.), and route notifications to...", "tags": [ "gps", "tracking", "alarm", "sos", "panic", "tamper", "safety", "fleet", "alert" ], "aliases": [], "fitness": 64, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/notification/device-alarm-notifications.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/notification/device-alarm-notifications.blueprint.yaml" }, { "feature": "device-power-alerts", "version": "1.0.0", "description": "Monitor battery voltage, battery level percentage, and external power supply state transmitted by GPS tracking hardware, and emit alerts when power conditions threaten continuous device operation (...", "tags": [ "gps", "tracking", "battery", "power", "alert", "fleet", "hardware" ], "aliases": [], "fitness": 66, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/notification/device-power-alerts.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/notification/device-power-alerts.blueprint.yaml" }, { "feature": "email-notifications", "version": "1.0.0", "description": "Send transactional and system emails with template rendering, delivery tracking, and bounce handling", "tags": [ "email", "transactional", "templates", "delivery-tracking", "bounce-handling", "unsubscribe", "notification" ], "aliases": [], "fitness": 87, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/notification/email-notifications.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/notification/email-notifications.blueprint.yaml" }, { "feature": "geofence-alerts", "version": "1.0.0", "description": "Detect and emit events when a tracked device crosses the boundary of a geofence zone, distinguishing entry (device was outside, now inside) from exit (device was inside, now outside), with calendar...", "tags": [ "gps", "tracking", "geofence", "alert", "event", "fleet", "zone" ], "aliases": [], "fitness": 68, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/notification/geofence-alerts.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/notification/geofence-alerts.blueprint.yaml" }, { "feature": "in-app-notifications", "version": "1.0.0", "description": "Real-time in-app notification center with read state, grouping, deep links, and persistent storage", "tags": [ "in-app", "notification-center", "real-time", "websocket", "sse", "bell-icon", "deep-links", "grouping" ], "aliases": [], "fitness": 89, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/notification/in-app-notifications.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/notification/in-app-notifications.blueprint.yaml" }, { "feature": "mentions-notifications", "version": "1.0.0", "description": "@mention users and user groups in messages to trigger targeted notifications", "tags": [ "mentions", "notifications", "alerts", "at-mention", "all", "here", "groups", "teams" ], "aliases": [], "fitness": 82, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/notification/mentions-notifications.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/notification/mentions-notifications.blueprint.yaml" }, { "feature": "messaging-email-notifications", "version": "1.0.0", "description": "Email delivery of missed message notifications with configurable batching intervals, mention-aware triggering, and content level controls that determine how much message detail is included in each...", "tags": [ "email", "notifications", "batching", "digest", "mentions", "messaging" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/notification/messaging-email-notifications.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/notification/messaging-email-notifications.blueprint.yaml" }, { "feature": "mobile-push-notifications", "version": "1.0.0", "description": "Delivery of real-time alert payloads to registered mobile devices via a push proxy service, with per-device session targeting, JWT signing for security, and content-level controls from minimal...", "tags": [ "push", "mobile", "apns", "fcm", "proxy", "device", "jwt", "notifications" ], "aliases": [], "fitness": 71, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/notification/mobile-push-notifications.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/notification/mobile-push-notifications.blueprint.yaml" }, { "feature": "notification-preferences", "version": "1.0.0", "description": "Manage per-user notification preferences across channels and categories with quiet hours and frequency caps", "tags": [ "preferences", "opt-in", "opt-out", "quiet-hours", "digest", "do-not-disturb", "notification", "settings" ], "aliases": [], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/notification/notification-preferences.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/notification/notification-preferences.blueprint.yaml" }, { "feature": "notification-preferences-dnd", "version": "1.0.0", "description": "User-controlled notification preference system with per-channel overrides and a Do-Not-Disturb mode that suppresses all notifications for a configurable period with automatic expiry.\n", "tags": [ "notifications", "preferences", "dnd", "do-not-disturb", "mute", "quiet-hours" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/notification/notification-preferences-dnd.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/notification/notification-preferences-dnd.blueprint.yaml" }, { "feature": "overspeed-alerts", "version": "1.0.0", "description": "Detect when a tracked device exceeds a configured speed limit for a minimum duration, using a four-level speed limit hierarchy (position > geofence > device > server), and emit a single event at th...", "tags": [ "gps", "tracking", "overspeed", "speed-limit", "alert", "fleet", "safety" ], "aliases": [], "fitness": 70, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/notification/overspeed-alerts.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/notification/overspeed-alerts.blueprint.yaml" }, { "feature": "push-notification-gateway", "version": "1.0.0", "description": "Manage user-registered notification endpoints and deliver async push notifications to HTTP or email gateways when room events match configurable push rules.", "tags": [ "push", "notifications", "gateway", "email", "webhook", "rules", "devices" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/notification/push-notification-gateway.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/notification/push-notification-gateway.blueprint.yaml" }, { "feature": "push-notifications", "version": "1.0.0", "description": "Deliver mobile and web push notifications with device management, topic subscriptions, and rich media", "tags": [ "push", "mobile", "web-push", "fcm", "apns", "notifications", "real-time", "device-tokens" ], "aliases": [], "fitness": 90, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/notification/push-notifications.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/notification/push-notifications.blueprint.yaml" }, { "feature": "sens-eod-data-delivery", "version": "1.0.0", "description": "End-of-day SENS announcements delivery via NewsML-G2 XML — text and PDF variants disseminated as end-of-day compressed packages covering company, exchange, and regulatory institution announcements", "tags": [ "market-data", "eod", "sens", "announcements", "newsml", "xml", "news", "regulatory", "price-sensitive", "non-live" ], "aliases": [], "fitness": 75, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/notification/sens-eod-data-delivery.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/sens-eod-data-delivery.blueprint.yaml" }, { "feature": "sms-notifications", "version": "1.0.0", "description": "Send SMS messages for OTP codes, alerts, and marketing with provider abstraction and compliance", "tags": [ "sms", "otp", "alerts", "marketing", "tcpa", "gdpr", "notification", "messaging" ], "aliases": [], "fitness": 94, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/notification/sms-notifications.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/notification/sms-notifications.blueprint.yaml" }, { "feature": "vehicle-renewal-reminders", "version": "1.0.0", "description": "Automatically generate and send renewal reminders for vehicle licenses, registrations, roadworthiness certificates, and insurance policies before they expire.", "tags": [ "fleet", "vehicle", "reminders", "compliance", "renewal", "notifications" ], "aliases": [], "fitness": 71, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/notification/vehicle-renewal-reminders.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/notification/vehicle-renewal-reminders.blueprint.yaml" }, { "feature": "webhook-outbound", "version": "1.0.0", "description": "Deliver outbound webhooks to external systems with signing, retries, and endpoint health monitoring", "tags": [ "webhook", "outbound", "integration", "hmac", "retry", "delivery-logs", "event-subscriptions", "api" ], "aliases": [], "fitness": 91, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/notification/webhook-outbound.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/notification/webhook-outbound.blueprint.yaml" } ] }, "auth": { "count": 39, "blueprints": [ { "feature": "api-key-management", "version": "1.0.0", "description": "Create, rotate, revoke, and scope API keys for programmatic access", "tags": [ "authentication", "api-key", "security", "programmatic-access", "developer" ], "aliases": [], "fitness": 88, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/api-key-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/api-key-management.blueprint.yaml" }, { "feature": "biometric-auth", "version": "1.0.0", "description": "Palm vein biometric authentication — alternative to password login with enrollment of up to 2 palms per user", "tags": [ "biometric", "palm-vein", "authentication", "passwordless", "enrollment" ], "aliases": [], "fitness": 91, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/biometric-auth.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/biometric-auth.blueprint.yaml" }, { "feature": "broker-user-access", "version": "1.0.0", "description": "User access management for back-office systems with screen-level and function-level security, role-based view/update permissions, dual-control verification, and audit trail of access changes", "tags": [ "back-office", "broker", "user-access", "rbac", "access-control", "security", "audit", "segregation-of-duties" ], "aliases": [ "user-access-management", "function-security", "screen-level-security", "secfn", "secus", "seccd", "user-function-allocation", "broker-role-based-access" ], "fitness": 79, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/broker-user-access.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/trading/broker-user-access.blueprint.yaml" }, { "feature": "cross-signing-verification", "version": "1.0.0", "description": "Three-key trust hierarchy for verifying devices and users. Master key signs self-signing and user-signing keys. All uploads are cryptographically validated before storage.", "tags": [ "e2e", "cross-signing", "verification", "trust", "keys", "identity", "security" ], "aliases": [], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/cross-signing-verification.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/cross-signing-verification.blueprint.yaml" }, { "feature": "device-attestation", "version": "1.0.0", "description": "TPM-backed device identity and per-call signed attestation — terminals prove their identity to the Payments Gateway on every request; rejected devices cannot transact", "tags": [ "attestation", "tpm", "mtls", "device-identity", "fleet" ], "aliases": [ "attestation", "device-identity", "device-certs" ], "fitness": 74, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/device-attestation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/device-attestation.blueprint.yaml" }, { "feature": "device-management", "version": "1.0.0", "description": "Track all client sessions as named devices per user account. List, rename, and delete devices with cascading cleanup. Auto-purge devices inactive beyond retention period.", "tags": [ "devices", "sessions", "security", "e2e", "logout", "access-control" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/device-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/device-management.blueprint.yaml" }, { "feature": "disappearing-messages", "version": "1.0.0", "description": "Per-conversation timer that automatically deletes messages on all participant devices after a configurable duration, with the server assisting by propagating timer changes", "tags": [ "messaging", "privacy", "ephemeral", "timer", "client-enforced" ], "aliases": [], "fitness": 88, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/disappearing-messages.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/disappearing-messages.blueprint.yaml" }, { "feature": "e2e-key-exchange", "version": "1.0.0", "description": "Manages cryptographic key material for end-to-end encrypted messaging. Handles device key publication, one-time pre-key upload/claiming, and cross-server key queries.", "tags": [ "e2e", "encryption", "key-exchange", "olm", "megolm", "devices", "security" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/e2e-key-exchange.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/e2e-key-exchange.blueprint.yaml" }, { "feature": "email-verification", "version": "1.0.0", "description": "Verify user email ownership via a one-time token link", "tags": [ "email", "verification", "security", "identity", "onboarding" ], "aliases": [], "fitness": 87, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/email-verification.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/email-verification.blueprint.yaml" }, { "feature": "encrypted-profile-storage", "version": "1.0.0", "description": "Versioned, client-encrypted profile storage with avatar upload credential issuance and zero-knowledge profile key credential system", "tags": [ "encryption", "profile", "zero-knowledge", "avatar", "versioning", "privacy" ], "aliases": [], "fitness": 82, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/encrypted-profile-storage.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/encrypted-profile-storage.blueprint.yaml" }, { "feature": "identity-lookup", "version": "1.0.0", "description": "Bridge between user contact details (email, phone) and messaging identities via external identity servers. Enables invitations before account creation and contact binding.", "tags": [ "identity", "3pid", "email", "phone", "lookup", "binding", "verification" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/identity-lookup.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/identity-lookup.blueprint.yaml" }, { "feature": "key-backup-recovery", "version": "1.0.0", "description": "Securely back up and restore end-to-end encryption session keys. Keys are client-encrypted before upload; server stores only opaque ciphertext with versioned etag tracking.", "tags": [ "key-backup", "recovery", "e2e", "encryption", "megolm", "versioning" ], "aliases": [], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/key-backup-recovery.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/key-backup-recovery.blueprint.yaml" }, { "feature": "ldap-authentication-sync", "version": "1.0.0", "description": "Directory service authentication and periodic synchronization that validates credentials against an LDAP/Active Directory server and keeps user profiles and group memberships current with the...", "tags": [ "ldap", "active-directory", "directory-sync", "enterprise-auth", "group-sync" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/ldap-authentication-sync.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/ldap-authentication-sync.blueprint.yaml" }, { "feature": "login", "version": "1.0.0", "description": "Authenticate a user with email and password", "tags": [ "authentication", "session", "security", "identity", "saas" ], "aliases": [ "sign-in", "signin", "sign in", "log-in", "log in", "authenticate", "user-authentication", "email-password-login", "credential-login", "password-login" ], "fitness": 91, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/login.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/login.blueprint.yaml" }, { "feature": "logout", "version": "1.0.0", "description": "End a user session and clear all authentication tokens", "tags": [ "authentication", "session", "security", "identity" ], "aliases": [], "fitness": 72, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/logout.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/logout.blueprint.yaml" }, { "feature": "magic-link-auth", "version": "1.0.0", "description": "Passwordless email login via single-use magic links", "tags": [ "authentication", "passwordless", "magic-link", "email", "security", "identity" ], "aliases": [], "fitness": 88, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/magic-link-auth.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/magic-link-auth.blueprint.yaml" }, { "feature": "multi-device-linking", "version": "1.0.0", "description": "Provisioning and management of linked devices on an existing account, allowing a user to register up to a configured maximum of secondary devices that share the account identity", "tags": [ "devices", "provisioning", "multi-device", "linking", "pre-keys" ], "aliases": [], "fitness": 87, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/multi-device-linking.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/multi-device-linking.blueprint.yaml" }, { "feature": "multi-factor-auth", "version": "1.0.0", "description": "Second-factor authentication via TOTP, SMS OTP, or backup codes", "tags": [ "authentication", "mfa", "totp", "otp", "security", "2fa", "backup-codes" ], "aliases": [], "fitness": 86, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/multi-factor-auth.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/multi-factor-auth.blueprint.yaml" }, { "feature": "multi-factor-authentication", "version": "2.0.0", "description": "TOTP-based second authentication factor using RFC 6238 time-based one-time passwords. Users enroll via QR code and submit 6-digit codes at login to verify possession of the registered...", "tags": [ "mfa", "totp", "two-factor", "otp", "authenticator", "security" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/multi-factor-authentication.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/multi-factor-authentication.blueprint.yaml" }, { "feature": "oauth-social-login", "version": "1.0.0", "description": "Social sign-in via OAuth2/OIDC with account linking and profile sync", "tags": [ "authentication", "oauth", "oidc", "social-login", "identity", "federation" ], "aliases": [], "fitness": 87, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/oauth-social-login.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/oauth-social-login.blueprint.yaml" }, { "feature": "oauth-sso-providers", "version": "1.0.0", "description": "Configure OAuth2/SSO identity providers to enable single sign-on login for platform users", "tags": [ "oauth2", "sso", "identity", "login", "social-login", "federation", "authentication" ], "aliases": [], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/oauth-sso-providers.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/oauth-sso-providers.blueprint.yaml" }, { "feature": "one-time-prekey-replenishment", "version": "1.0.0", "description": "Client-driven one-time pre-key pool monitoring and replenishment to ensure uninterrupted secure session establishment", "tags": [ "prekeys", "replenishment", "pool-management", "end-to-end-encryption", "ec-keys", "kem-keys", "device-maintenance" ], "aliases": [], "fitness": 86, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/one-time-prekey-replenishment.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/one-time-prekey-replenishment.blueprint.yaml" }, { "feature": "openid-connect-server", "version": "1.0.0", "description": "OAuth 2.0 and OpenID Connect identity provider with token issuance", "tags": [ "oauth2", "oidc" ], "aliases": [], "fitness": 76, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/openid-connect-server.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/openid-connect-server.blueprint.yaml" }, { "feature": "password-reset", "version": "1.0.0", "description": "Allow users to reset their password via email verification", "tags": [ "password", "reset", "recovery", "security", "email" ], "aliases": [], "fitness": 88, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/password-reset.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/password-reset.blueprint.yaml" }, { "feature": "payload-auth", "version": "1.0.0", "description": "Full authentication system with JWT sessions, API keys, account locking, email verification, and custom strategies", "tags": [ "cms", "headless", "jwt", "sessions", "api-key", "pbkdf2", "account-locking", "email-verification", "payload" ], "aliases": [], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/payload-auth.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/payload-auth.blueprint.yaml" }, { "feature": "phone-number-registration", "version": "1.0.0", "description": "Phone number registration with SMS/voice verification sessions, push challenge, and captcha gating before account creation", "tags": [ "registration", "phone-verification", "sms", "voice", "captcha", "push-challenge", "account-creation", "identity-keys" ], "aliases": [], "fitness": 86, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/phone-number-registration.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/phone-number-registration.blueprint.yaml" }, { "feature": "private-contact-discovery", "version": "1.0.0", "description": "Issue short-lived HMAC-derived credentials that authenticate clients with an external privacy-preserving contact discovery service without exposing plaintext contact lists to the server", "tags": [ "privacy", "contacts", "discovery", "phone-number", "credentials", "psi" ], "aliases": [], "fitness": 84, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/private-contact-discovery.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/private-contact-discovery.blueprint.yaml" }, { "feature": "registration-lock-pin", "version": "1.0.0", "description": "Account registration lock using a user-set PIN backed by a secure value recovery service, protecting re-registration after SIM theft or device loss", "tags": [ "registration-lock", "pin", "secure-value-recovery", "account-recovery", "re-registration", "credential-freeze" ], "aliases": [], "fitness": 87, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.9, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/registration-lock-pin.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/registration-lock-pin.blueprint.yaml" }, { "feature": "safety-number-verification", "version": "1.0.0", "description": "Contact identity verification via cryptographic fingerprints that detects when a contact's identity key has changed, alerting users to potential key-change events", "tags": [ "identity", "key-verification", "fingerprint", "trust", "end-to-end-encryption", "key-transparency" ], "aliases": [], "fitness": 86, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/safety-number-verification.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/safety-number-verification.blueprint.yaml" }, { "feature": "saml-2-identity-provider", "version": "1.0.0", "description": "SAML 2.0 identity provider with assertions and metadata", "tags": [ "saml2", "identity-provider" ], "aliases": [], "fitness": 61, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/saml-2-identity-provider.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/saml-2-identity-provider.blueprint.yaml" }, { "feature": "saml-sso", "version": "1.0.0", "description": "SAML 2.0 identity provider integration enabling users to authenticate via a federated identity provider without maintaining local passwords.\n", "tags": [ "saml", "sso", "federation", "identity-provider", "enterprise-auth" ], "aliases": [], "fitness": 76, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/saml-sso.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/saml-sso.blueprint.yaml" }, { "feature": "sealed-sender-delivery", "version": "1.0.0", "description": "Metadata-hidden message delivery that conceals the sender's identity from the server using unidentified access keys or group send endorsement tokens", "tags": [ "messaging", "privacy", "end-to-end-encryption", "anonymous-delivery", "group-messaging" ], "aliases": [], "fitness": 88, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/sealed-sender-delivery.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/sealed-sender-delivery.blueprint.yaml" }, { "feature": "session-management", "version": "1.0.0", "description": "Active session listing, device tracking, and session revocation", "tags": [ "authentication", "session", "security", "device-tracking", "identity" ], "aliases": [], "fitness": 89, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/session-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/session-management.blueprint.yaml" }, { "feature": "session-management-revocation", "version": "1.0.0", "description": "Lifecycle management for authenticated user sessions including creation, activity-based expiry extension, idle timeout enforcement, and explicit revocation by users or administrators.\n", "tags": [ "sessions", "tokens", "revocation", "idle-timeout", "security" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/session-management-revocation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/session-management-revocation.blueprint.yaml" }, { "feature": "signal-prekey-bundle", "version": "1.0.0", "description": "Upload and retrieval of pre-key bundles combining EC signed keys, one-time EC keys, and post-quantum KEM keys for establishing end-to-end encrypted sessions", "tags": [ "prekeys", "end-to-end-encryption", "ec-keys", "kem-keys", "double-ratchet", "post-quantum", "identity-keys", "key-exchange" ], "aliases": [], "fitness": 86, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/signal-prekey-bundle.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/signal-prekey-bundle.blueprint.yaml" }, { "feature": "signup", "version": "1.0.0", "description": "Register a new user account with email and password", "tags": [ "registration", "onboarding", "account-creation", "identity", "saas" ], "aliases": [], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.9, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/signup.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/signup.blueprint.yaml" }, { "feature": "single-sign-on", "version": "1.0.0", "description": "Enterprise SSO via SAML 2.0 and OIDC with JIT provisioning", "tags": [ "authentication", "sso", "saml", "oidc", "enterprise", "identity", "federation" ], "aliases": [], "fitness": 89, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/single-sign-on.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/single-sign-on.blueprint.yaml" }, { "feature": "user-account-self-service", "version": "1.0.0", "description": "User self-service account and credential management", "tags": [ "account-management" ], "aliases": [], "fitness": 63, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/user-account-self-service.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/user-account-self-service.blueprint.yaml" }, { "feature": "user-authentication-session-management", "version": "1.0.0", "description": "Authentication flows, session management, brute-force protection", "tags": [ "authentication", "sessions" ], "aliases": [], "fitness": 63, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/auth/user-authentication-session-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/auth/user-authentication-session-management.blueprint.yaml" } ] }, "payment": { "count": 24, "blueprints": [ { "feature": "cart-checkout", "version": "1.0.0", "description": "Shopping cart and checkout flow with stock reservation, guest cart merge, multi-step checkout, tax, promo codes, and order placement.", "tags": [ "cart", "checkout", "e-commerce", "orders", "stock-reservation", "promo-codes" ], "aliases": [], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/cart-checkout.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/cart-checkout.blueprint.yaml" }, { "feature": "cloud-emv-kernel", "version": "1.0.0", "description": "Server-side EMV L2 kernel — processes SPoC-forwarded card data from thin-client terminals; handles chip/tap/stripe authorization, tokenisation, PIN verification", "tags": [ "emv", "kernel", "card", "cloud", "tokenisation", "spoc", "pci" ], "aliases": [ "emv-kernel", "cloud-emv", "card-kernel" ], "fitness": 72, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/cloud-emv-kernel.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/cloud-emv-kernel.blueprint.yaml" }, { "feature": "currency-conversion", "version": "1.0.0", "description": "Convert amounts between currencies using live or cached exchange rates", "tags": [ "currency", "exchange-rate", "multi-currency", "localization", "payment", "finance" ], "aliases": [], "fitness": 86, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/currency-conversion.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/currency-conversion.blueprint.yaml" }, { "feature": "dispute-management", "version": "1.0.0", "description": "Payment dispute and chargeback lifecycle — initiation, evidence collection, investigation, and resolution for PayShap and card transactions", "tags": [ "dispute", "chargeback", "resolution", "evidence", "payment-protection" ], "aliases": [], "fitness": 83, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/dispute-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/dispute-management.blueprint.yaml" }, { "feature": "driver-earnings-payouts", "version": "1.0.0", "description": "Track driver earnings per trip, manage payout schedules, and process driver compensation", "tags": [ "fleet", "driver", "earnings", "payouts", "compensation", "settlement" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/driver-earnings-payouts.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/driver-earnings-payouts.blueprint.yaml" }, { "feature": "fraud-detection", "version": "1.0.0", "description": "Real-time transaction fraud detection with risk scoring, velocity checks, anomaly detection, and auto-blocking for payment terminals", "tags": [ "fraud", "risk-scoring", "security", "velocity", "anomaly-detection" ], "aliases": [], "fitness": 88, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/fraud-detection.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/fraud-detection.blueprint.yaml" }, { "feature": "invoicing-payments", "version": "1.0.0", "description": "Invoicing and payment lifecycle: customer invoices, vendor bills, credit notes, receipts, payment registration, multi-currency, and follow-up.\n", "tags": [ "invoicing", "payments", "billing", "credit-notes", "multi-currency", "accounting" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/invoicing-payments.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/invoicing-payments.blueprint.yaml" }, { "feature": "loyalty-coupons", "version": "1.0.0", "description": "Loyalty and promotion engine supporting points, coupons, gift cards, discount codes, buy-X-get-Y offers, e-wallets, and next-order rewards.\n", "tags": [ "loyalty", "coupons", "gift-cards", "promotions", "rewards", "discounts" ], "aliases": [], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/loyalty-coupons.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/loyalty-coupons.blueprint.yaml" }, { "feature": "multi-currency-exchange", "version": "1.0.0", "description": "Manage exchange rates, perform multi-currency transactions, and revalue accounts for unrealized foreign exchange gains and losses", "tags": [ "multi-currency", "exchange-rates", "revaluation", "forex", "erp", "accounting" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.9, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/multi-currency-exchange.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/multi-currency-exchange.blueprint.yaml" }, { "feature": "palm-pay", "version": "1.0.0", "description": "Palm vein biometric payment — link palm template to payment proxy for hands-free real-time payments", "tags": [ "biometric", "palm-vein", "contactless", "hands-free", "real-time-payment" ], "aliases": [], "fitness": 88, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/palm-pay.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/palm-pay.blueprint.yaml" }, { "feature": "payment-methods", "version": "1.0.0", "description": "Saved payment methods with card tokenization, add/remove/set default, Luhn validation, expiry monitoring, and digital wallet support.", "tags": [ "payment-methods", "tokenization", "pci-dss", "cards", "wallets", "apple-pay", "google-pay" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/payment-methods.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/payment-methods.blueprint.yaml" }, { "feature": "payment-processing", "version": "1.0.0", "description": "Process incoming, outgoing, and internal transfer payments with multi-currency support, reference allocation, and automatic reconciliation", "tags": [ "accounting", "payments", "reconciliation", "multi-currency", "erp" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/payment-processing.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/payment-processing.blueprint.yaml" }, { "feature": "pos-core", "version": "1.0.0", "description": "Point-of-sale system managing sales sessions, product orders, payment processing, cash register operations, receipt generation, and accounting integration.\n", "tags": [ "point-of-sale", "retail", "cash-register", "receipt", "session-management" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/pos-core.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/pos-core.blueprint.yaml" }, { "feature": "pricing-rules-promotions", "version": "1.0.0", "description": "Define and apply pricing rules, discount schemes, and promotional offers with priority-based conflict resolution, cumulative tracking, and free item support", "tags": [ "pricing", "discounts", "promotions", "coupons", "erp", "sales", "purchase" ], "aliases": [], "fitness": 75, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/pricing-rules-promotions.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/pricing-rules-promotions.blueprint.yaml" }, { "feature": "rail-registry", "version": "1.0.0", "description": "Pluggable RailAdapter registry — admin API to add/swap rails, routing policy engine that selects a rail per payment by amount/region/merchant", "tags": [ "rail", "registry", "routing", "policy", "pluggable", "adapter" ], "aliases": [ "rails", "rail-adapter-registry", "payment-rails" ], "fitness": 75, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/rail-registry.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/rail-registry.blueprint.yaml" }, { "feature": "refunds-returns", "version": "1.0.0", "description": "Refund processing and return merchandise management with reason codes, approval workflow, partial/full refunds, and restocking.", "tags": [ "refunds", "returns", "rma", "store-credit", "restocking", "e-commerce" ], "aliases": [], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/refunds-returns.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/refunds-returns.blueprint.yaml" }, { "feature": "sales-purchase-invoicing", "version": "1.0.0", "description": "Create, submit, and manage sales and purchase invoices with double-entry accounting, tax calculation, returns, and credit limit enforcement", "tags": [ "accounting", "invoicing", "sales", "purchase", "erp", "double-entry", "returns", "credit-limit" ], "aliases": [], "fitness": 84, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/sales-purchase-invoicing.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/sales-purchase-invoicing.blueprint.yaml" }, { "feature": "shipping-calculation", "version": "1.0.0", "description": "Shipping rate calculation with zone-based pricing, dimensional weight, free shipping thresholds, carrier quotes, and delivery estimation.", "tags": [ "shipping", "rates", "carriers", "delivery", "zones", "logistics", "e-commerce" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/shipping-calculation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/shipping-calculation.blueprint.yaml" }, { "feature": "subscription-billing", "version": "1.0.0", "description": "Recurring subscription lifecycle with plan tiers, billing cycles, trials, proration, dunning retries, and cancellation handling.", "tags": [ "subscriptions", "recurring-billing", "plans", "trials", "dunning", "proration", "saas" ], "aliases": [], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/subscription-billing.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/subscription-billing.blueprint.yaml" }, { "feature": "terminal-enrollment", "version": "1.0.0", "description": "At-terminal palm vein enrollment — walk-up registration with OTP verification and payment proxy linking", "tags": [ "enrollment", "biometric", "palm-vein", "onboarding", "terminal" ], "aliases": [], "fitness": 89, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/terminal-enrollment.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/terminal-enrollment.blueprint.yaml" }, { "feature": "terminal-offline-queue", "version": "1.0.0", "description": "Offline transaction queuing for payment terminals — risk-limited queuing with automatic flush on reconnect", "tags": [ "offline", "queue", "resilience", "terminal", "risk-management" ], "aliases": [], "fitness": 88, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/terminal-offline-queue.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/terminal-offline-queue.blueprint.yaml" }, { "feature": "terminal-payment-flow", "version": "1.0.0", "description": "Payment terminal transaction orchestration — amount entry, method selection (palm or card), payment execution, and digital receipt delivery", "tags": [ "terminal", "payment-flow", "palm-vein", "card", "digital-receipt", "android" ], "aliases": [], "fitness": 86, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/terminal-payment-flow.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/terminal-payment-flow.blueprint.yaml" }, { "feature": "terminal-thin-client", "version": "1.0.0", "description": "Android thin-client payment terminal — base UI + palm-vein capture with on-device 1:N match + card reader SPoC passthrough + PGW API client; no rail SDKs or EMV kernel on-device", "tags": [ "terminal", "thin-client", "android", "kotlin", "palm", "spoc", "pgw-client" ], "aliases": [ "thin-terminal", "palm-terminal", "pgw-client-terminal" ], "fitness": 70, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/terminal-thin-client.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/terminal-thin-client.blueprint.yaml" }, { "feature": "trip-billing-invoicing", "version": "1.0.0", "description": "Calculate and manage trip-based billing, service rates, and invoice generation for completed deliveries", "tags": [ "fleet", "billing", "invoice", "payment", "service-rate", "transaction" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/payment/trip-billing-invoicing.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/payment/trip-billing-invoicing.blueprint.yaml" } ] }, "observability": { "count": 5, "blueprints": [ { "feature": "audit-logging", "version": "1.0.0", "description": "Immutable, append-only audit trail with tamper detection and compliance-ready querying", "tags": [ "audit", "logging", "compliance", "security", "immutable", "trail", "monitoring", "forensics" ], "aliases": [], "fitness": 85, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/observability/audit-logging.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/observability/audit-logging.blueprint.yaml" }, { "feature": "audit-trail", "version": "1.0.0", "description": "Immutable field-level change tracking for any record with automatic capture on every write, configurable per-model opt-in, and sensitive field exclusion", "tags": [ "audit-trail", "change-log", "history", "field-tracking", "immutable", "compliance" ], "aliases": [], "fitness": 76, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/observability/audit-trail.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/observability/audit-trail.blueprint.yaml" }, { "feature": "compliance-exports", "version": "1.0.0", "description": "Scheduled and on-demand export of communication records in regulatory-grade formats (CSV, Actiance XML, GlobalRelay email) for eDiscovery, legal review, and compliance archival.\n", "tags": [ "compliance", "ediscovery", "export", "actiance", "globalrelay", "regulatory" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/observability/compliance-exports.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/observability/compliance-exports.blueprint.yaml" }, { "feature": "fix-engine-logging", "version": "1.0.0", "description": "Provides per-session and global logging of all incoming messages, outgoing messages, and session lifecycle events with pluggable backends including screen, file, and database outputs", "tags": [ "fix-protocol", "logging", "observability", "financial-messaging", "audit-trail" ], "aliases": [], "fitness": 83, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/observability/fix-engine-logging.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/observability/fix-engine-logging.blueprint.yaml" }, { "feature": "payment-observability", "version": "1.0.0", "description": "Payment observability — transaction metrics, latency tracking, error rate monitoring, business KPIs, alerting, and dashboards", "tags": [ "metrics", "monitoring", "alerting", "dashboard", "health-check", "kpi" ], "aliases": [], "fitness": 83, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/observability/payment-observability.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/observability/payment-observability.blueprint.yaml" } ] }, "manufacturing": { "count": 4, "blueprints": [ { "feature": "bill-of-materials", "version": "1.0.0", "description": "Hierarchical bill of materials defining raw materials, operations, and costs required to manufacture a finished good, with multi-level explosion and cost propagation.\n", "tags": [ "bom", "manufacturing", "raw-materials", "cost-estimation", "production" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/manufacturing/bill-of-materials.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/manufacturing/bill-of-materials.blueprint.yaml" }, { "feature": "production-planning", "version": "1.0.0", "description": "Production planning tool that consolidates demand from sales orders and material requests, explodes multi-level BOMs, and generates work orders and procurement requests for manufacturing.\n", "tags": [ "production-planning", "mrp", "demand-planning", "manufacturing", "material-requirements" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/manufacturing/production-planning.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/manufacturing/production-planning.blueprint.yaml" }, { "feature": "subcontracting", "version": "1.0.0", "description": "Subcontracting workflow for outsourcing manufacturing to suppliers, including raw material dispatch, finished goods receipt, quality inspection, rejection handling, and cost tracking.\n", "tags": [ "subcontracting", "outsourced-manufacturing", "supplier", "contract-manufacturing", "procurement" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/manufacturing/subcontracting.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/manufacturing/subcontracting.blueprint.yaml" }, { "feature": "work-orders-job-cards", "version": "1.0.0", "description": "Work order execution and job card tracking for manufacturing operations, including material transfers, time logging, sequential operation control, and production completion.\n", "tags": [ "work-order", "job-card", "production", "manufacturing", "shop-floor", "time-tracking" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/manufacturing/work-orders-job-cards.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/manufacturing/work-orders-job-cards.blueprint.yaml" } ] }, "inventory": { "count": 6, "blueprints": [ { "feature": "landed-cost-valuation", "version": "1.0.0", "description": "Landed cost allocation, stock reconciliation, and valuation reposting. Distributes charges across receipt items, adjusts stock quantities/valuations, and recalculates historical entries.\n", "tags": [ "landed-cost", "valuation", "stock-reconciliation", "repost-valuation", "cost-allocation", "inventory-adjustment" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/inventory/landed-cost-valuation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/inventory/landed-cost-valuation.blueprint.yaml" }, { "feature": "parts-consumption", "version": "1.0.0", "description": "Record parts and materials consumed during vehicle service or repair events, validate stock availability, trigger inventory deductions, and attribute parts cost to the service record.", "tags": [ "fleet", "vehicle", "parts", "inventory", "consumption", "service", "stock" ], "aliases": [], "fitness": 77, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/inventory/parts-consumption.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/inventory/parts-consumption.blueprint.yaml" }, { "feature": "pick-list-shipping", "version": "1.0.0", "description": "Pick list and shipping system with warehouse picking, delivery notes, shipment tracking, and delivery trip planning.\n", "tags": [ "pick-list", "shipping", "delivery-note", "shipment", "delivery-trip", "logistics", "inventory" ], "aliases": [], "fitness": 75, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/inventory/pick-list-shipping.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/inventory/pick-list-shipping.blueprint.yaml" }, { "feature": "serial-batch-tracking", "version": "1.0.0", "description": "Serial number and batch tracking with lifecycle management, batch-wise valuation, expiry tracking, and serial/batch bundles.\n", "tags": [ "serial-number", "batch-tracking", "traceability", "expiry", "inventory", "valuation" ], "aliases": [], "fitness": 72, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/inventory/serial-batch-tracking.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/inventory/serial-batch-tracking.blueprint.yaml" }, { "feature": "stock-entry-movements", "version": "1.0.0", "description": "Stock entry and material movement system supporting issue, receipt, transfer, manufacture, repack, and subcontracting with stock ledger and GL entries.\n", "tags": [ "stock-entry", "material-movement", "stock-ledger", "valuation", "manufacturing", "inventory" ], "aliases": [], "fitness": 71, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/inventory/stock-entry-movements.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/inventory/stock-entry-movements.blueprint.yaml" }, { "feature": "warehouse-bin-management", "version": "1.0.0", "description": "Warehouse hierarchy and bin management with nested trees, quantity tracking, putaway rules, and perpetual inventory GL integration.\n", "tags": [ "warehouse", "bin-management", "putaway", "inventory", "stock-balance", "projected-qty" ], "aliases": [], "fitness": 71, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/inventory/warehouse-bin-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/inventory/warehouse-bin-management.blueprint.yaml" } ] }, "infrastructure": { "count": 13, "blueprints": [ { "feature": "caching", "version": "1.0.0", "description": "Multi-tier caching with read-through, write-through, write-behind, and cache-aside strategies, stampede protection, and configurable invalidation", "tags": [ "caching", "performance", "redis", "cdn", "invalidation", "ttl", "stampede-protection" ], "aliases": [], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/infrastructure/caching.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/infrastructure/caching.blueprint.yaml" }, { "feature": "cloud-storage", "version": "1.0.0", "description": "Manage object storage across cloud providers with upload, download, delete, presigned URLs, multipart upload, and lifecycle policy support", "tags": [ "storage", "cloud", "s3", "blob", "file-upload", "object-storage" ], "aliases": [], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/infrastructure/cloud-storage.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/infrastructure/cloud-storage.blueprint.yaml" }, { "feature": "database-persistence", "version": "1.0.0", "description": "Data durability via RDB snapshots and/or AOF journaling; recover to point-in-time or exact command sequence after crash", "tags": [ "persistence", "durability", "rdb-snapshots", "aof-journal", "crash-recovery", "backup" ], "aliases": [], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.9, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/infrastructure/database-persistence.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/infrastructure/database-persistence.blueprint.yaml" }, { "feature": "fix-message-persistence", "version": "1.0.0", "description": "Persists all sent and received FIX messages with sequence numbers for gap-fill recovery on reconnect; supports in-memory, file-based, and database-backed storage backends", "tags": [ "fix-protocol", "message-store", "sequence-numbers", "recovery", "persistence", "financial-messaging" ], "aliases": [], "fitness": 84, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/infrastructure/fix-message-persistence.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/infrastructure/fix-message-persistence.blueprint.yaml" }, { "feature": "local-to-public-server", "version": "1.0.0", "description": "Transform a local Ubuntu PC into a fully functional, hardened, publicly accessible server with web hosting, database, email, SSL, monitoring, and automated backups", "tags": [ "server", "ubuntu", "linux", "self-hosted", "networking", "dns", "ssl", "security", "monitoring", "backup", "web-server", "database", "email", "firewall" ], "aliases": [], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/infrastructure/local-to-public-server.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/infrastructure/local-to-public-server.blueprint.yaml" }, { "feature": "master-replica-replication", "version": "1.0.0", "description": "One-way data synchronization from master to replicas; full or partial resync with command streaming and replication backlog", "tags": [ "replication", "high-availability", "read-scaling", "data-synchronization", "partial-resync" ], "aliases": [], "fitness": 76, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.9, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/infrastructure/master-replica-replication.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/infrastructure/master-replica-replication.blueprint.yaml" }, { "feature": "message-queue", "version": "1.0.0", "description": "Process asynchronous jobs and events through a provider-agnostic message queue supporting publish, subscribe, acknowledge, retry with backoff, and dead-letter queues", "tags": [ "queue", "messaging", "async", "events", "jobs", "pubsub" ], "aliases": [], "fitness": 84, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/infrastructure/message-queue.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/infrastructure/message-queue.blueprint.yaml" }, { "feature": "multi-tenant-organization", "version": "1.0.0", "description": "Multi-tenant organization model with isolated data, user management, and role-based access control", "tags": [ "multi-tenant", "organization", "company", "isolation", "rbac", "users" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/infrastructure/multi-tenant-organization.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/infrastructure/multi-tenant-organization.blueprint.yaml" }, { "feature": "push-notification-delivery", "version": "1.0.0", "description": "Route urgent and background notifications to mobile devices via the correct platform push service, with token expiry cleanup, scheduled background delivery, and challenge notification support", "tags": [ "push-notification", "mobile", "android", "ios", "background-delivery", "device-token", "challenge" ], "aliases": [], "fitness": 90, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/infrastructure/push-notification-delivery.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/infrastructure/push-notification-delivery.blueprint.yaml" }, { "feature": "rate-limiting-abuse-prevention", "version": "1.0.0", "description": "Leaky-bucket rate limiting backed by distributed in-memory storage, with push-challenge and CAPTCHA-challenge flows that restore access for legitimate users when limits are exceeded", "tags": [ "rate-limiting", "abuse-prevention", "captcha", "push-challenge", "leaky-bucket", "security" ], "aliases": [], "fitness": 88, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/infrastructure/rate-limiting-abuse-prevention.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/infrastructure/rate-limiting-abuse-prevention.blueprint.yaml" }, { "feature": "sentinel-and-cluster", "version": "1.0.0", "description": "Sentinel: automatic failover and monitoring; Cluster: distributed sharding across multiple nodes with gossip protocol", "tags": [ "sentinel", "cluster", "failover", "sharding", "high-availability", "auto-recovery", "distributed" ], "aliases": [], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.9, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/infrastructure/sentinel-and-cluster.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/infrastructure/sentinel-and-cluster.blueprint.yaml" }, { "feature": "server-federation", "version": "1.0.0", "description": "Enable real-time event exchange and membership coordination between independently operated servers so users on different servers share rooms without a central authority.", "tags": [ "federation", "distributed", "inter-server", "decentralized", "messaging" ], "aliases": [], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/infrastructure/server-federation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/infrastructure/server-federation.blueprint.yaml" }, { "feature": "terminal-fleet", "version": "1.0.0", "description": "Fleet management for Android payment terminals — device registration, remote configuration, OTA updates, health monitoring, and alerting", "tags": [ "fleet-management", "terminal", "device-management", "monitoring", "ota-updates" ], "aliases": [], "fitness": 77, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.9, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/infrastructure/terminal-fleet.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/infrastructure/terminal-fleet.blueprint.yaml" } ] }, "integration": { "count": 57, "blueprints": [ { "feature": "api-gateway", "version": "1.0.0", "description": "Route, authenticate, rate-limit, and transform API requests through a centralized gateway with versioning, circuit breaking, and CORS support", "tags": [ "api", "gateway", "routing", "rate-limiting", "circuit-breaker", "cors" ], "aliases": [], "fitness": 87, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/api-gateway.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/api-gateway.blueprint.yaml" }, { "feature": "application-services", "version": "1.0.0", "description": "Connect the messaging server to external systems through registered bridges. Services receive a filtered event stream, provision virtual users/rooms, and respond to existence queries.", "tags": [ "bridge", "appservice", "integration", "bot", "virtual-users", "webhooks" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/application-services.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/application-services.blueprint.yaml" }, { "feature": "bot-plugin-framework", "version": "1.0.0", "description": "Extension framework for bots, apps, and plugins to extend platform behavior through a defined API", "tags": [ "bots", "plugins", "apps", "extensibility", "framework", "marketplace" ], "aliases": [], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/bot-plugin-framework.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/bot-plugin-framework.blueprint.yaml" }, { "feature": "build-integration", "version": "1.0.0", "description": "Integrate CSS framework with build tools (PostCSS, CLI, Webpack, Vite, Next.js) to process templates and generate optimized CSS", "tags": [ "build-tools", "bundling", "optimization", "postcss", "cli" ], "aliases": [], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/build-integration.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/build-integration.blueprint.yaml" }, { "feature": "clearing-house-account-management", "version": "1.0.0", "description": "Account management services for payment clearing houses — account mirroring, proxy management, real-time account verification, and check digit verification", "tags": [ "clearing-house", "proxy", "account-verification", "cdv", "account-mirror", "payments" ], "aliases": [], "fitness": 88, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/clearing-house-account-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/chp-account-management.blueprint.yaml" }, { "feature": "clearing-house-eft", "version": "1.0.0", "description": "Electronic Funds Transfer operations via clearing house platform — inbound/outbound credits, debits, returns, on-us debits, payment cancellation, and system error correction", "tags": [ "eft", "payments", "clearing-house", "credits", "debits", "returns", "system-error-correction" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/clearing-house-eft.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/chp-eft.blueprint.yaml" }, { "feature": "clearing-house-inbound-payments", "version": "1.0.0", "description": "Clearing house inbound payment processing — receiving credit transfers and direct debits from the national payment system", "tags": [ "payments", "clearing-house", "inbound", "credit-transfer", "direct-debit", "real-time", "api" ], "aliases": [], "fitness": 88, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.9, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/clearing-house-inbound-payments.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/chp-inbound-payments.blueprint.yaml" }, { "feature": "clearing-house-outbound-payments", "version": "1.0.0", "description": "Clearing house outbound payment operations including credit transfers, bulk payments, direct debits, returns, and cancellations", "tags": [ "payments", "clearing-house", "outbound", "credit-transfer", "direct-debit" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/clearing-house-outbound-payments.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/chp-outbound-payments.blueprint.yaml" }, { "feature": "clearing-house-request-to-pay", "version": "1.0.0", "description": "Request-To-Pay (RTP) and refunds for clearing house payments — outbound/inbound RTP initiation, cancellation, and refund processing", "tags": [ "rtp", "request-to-pay", "refund", "payments", "clearing-house" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/clearing-house-request-to-pay.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/chp-request-to-pay.blueprint.yaml" }, { "feature": "custom-slash-commands", "version": "1.0.0", "description": "User-defined slash commands that POST to external webhook endpoints on execution, enabling integration of external services with in-channel command syntax and configurable response visibility.\n", "tags": [ "slash-commands", "webhooks", "integrations", "bots", "custom-commands" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/custom-slash-commands.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/custom-slash-commands.blueprint.yaml" }, { "feature": "dataverse-client", "version": "1.0.0", "description": "Enterprise service client for connecting to Microsoft Dataverse, managing authentication, executing CRUD operations on entities, batch processing, and discovery of available organizations", "tags": [ "crm", "cloud", "dataverse", "enterprise", "entity-management", "async-first", "sdk" ], "aliases": [], "fitness": 82, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/dataverse-client.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/dataverse-client.blueprint.yaml" }, { "feature": "driver-location-streaming", "version": "1.0.0", "description": "Real-time GPS location updates from drivers, persisted as position history and broadcast to subscribers for live map tracking.", "tags": [ "real-time", "gps", "location", "tracking", "broadcast", "geospatial" ], "aliases": [], "fitness": 76, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/driver-location-streaming.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/driver-location-streaming.blueprint.yaml" }, { "feature": "email-service", "version": "1.0.0", "description": "Send transactional and marketing emails through a provider-agnostic abstraction supporting templates, attachments, delivery tracking, and batch sends", "tags": [ "email", "transactional", "smtp", "templates", "notifications" ], "aliases": [], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/email-service.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/email-service.blueprint.yaml" }, { "feature": "emv-card-reader", "version": "1.0.0", "description": "EMV card reader hardware SDK integration — chip, NFC contactless, and magnetic stripe with PIN entry and EMV kernel processing", "tags": [ "emv", "card-reader", "nfc", "contactless", "pci", "hardware", "sdk" ], "aliases": [], "fitness": 87, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/emv-card-reader.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/emv-card-reader.blueprint.yaml" }, { "feature": "encrypted-group-metadata", "version": "1.0.0", "description": "Server-blind encrypted group management where the server stores opaque ciphertext and issues zero-knowledge credentials for group membership and group-send authorization", "tags": [ "encryption", "zero-knowledge", "groups", "privacy", "credentials", "server-blind" ], "aliases": [], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/encrypted-group-metadata.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/encrypted-group-metadata.blueprint.yaml" }, { "feature": "event-redaction", "version": "1.0.0", "description": "Remove sensitive content from previously sent events. Creates a redaction event that prunes original content while preserving graph position and essential metadata.", "tags": [ "redaction", "moderation", "privacy", "content-removal", "rooms", "compliance" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/event-redaction.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/event-redaction.blueprint.yaml" }, { "feature": "fix-connection-management", "version": "1.0.0", "description": "Manages TCP connections for FIX protocol engines including server-side acceptors, client-side initiators, SSL/TLS encryption, automatic reconnection, and socket configuration", "tags": [ "fix-protocol", "tcp", "acceptor", "initiator", "ssl", "reconnection", "financial-messaging" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/fix-connection-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/fix-connection-management.blueprint.yaml" }, { "feature": "fleet-ops-public-api", "version": "1.0.0", "description": "Versioned public REST API for rider and driver mobile apps, covering order management, driver operations, tracking, and location updates with API key authentication.", "tags": [ "api", "rest", "versioned", "authentication", "driver", "rider", "mobile" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/fleet-ops-public-api.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/fleet-ops-public-api.blueprint.yaml" }, { "feature": "fleet-public-api", "version": "1.0.0", "description": "RESTful public API with API key authentication and request logging for third-party integrations", "tags": [ "fleet", "api", "rest", "authentication", "credentials", "integration", "third-party" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/fleet-public-api.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/fleet-public-api.blueprint.yaml" }, { "feature": "gps-position-ingestion", "version": "1.0.0", "description": "Accept raw GPS position messages from heterogeneous hardware devices over multiple transport protocols, decode them into a normalised position record, and route through a processing pipeline before...", "tags": [ "gps", "tracking", "iot", "protocol", "position", "ingestion", "fleet" ], "aliases": [], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/gps-position-ingestion.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/gps-position-ingestion.blueprint.yaml" }, { "feature": "group-call-signaling", "version": "1.0.0", "description": "Group call signaling via call links with zero-knowledge room creation credential issuance and per-account call-link authentication", "tags": [ "calling", "group-call", "zero-knowledge", "call-link", "turn", "webrtc", "privacy" ], "aliases": [], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/group-call-signaling.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/group-call-signaling.blueprint.yaml" }, { "feature": "identity-brokering-social-login", "version": "2.0.0", "description": "OAuth 2.0 / OIDC social login with multi-provider identity brokering, account linking, profile normalization, PKCE/state/nonce CSRF protection, and configurable JWT or database session strategy.\n", "tags": [ "oauth2", "oidc", "social-login", "identity-brokering", "account-linking", "pkce", "jwt-session" ], "aliases": [], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/identity-brokering-social-login.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/identity-brokering-social-login.blueprint.yaml" }, { "feature": "incoming-webhooks", "version": "1.0.0", "description": "Receive HTTP POST payloads from external systems and convert them into messages posted to designated channels", "tags": [ "webhooks", "http", "integration", "automation", "inbound" ], "aliases": [], "fitness": 87, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/incoming-webhooks.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/incoming-webhooks.blueprint.yaml" }, { "feature": "mqtt-location-ingestion", "version": "1.0.0", "description": "Subscribe to a message broker for device location publishes, parse and normalize location payloads, and route each message by type to the appropriate storage or processing handler.", "tags": [ "mqtt", "location", "ingestion", "iot", "real-time", "device-tracking" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/mqtt-location-ingestion.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/mqtt-location-ingestion.blueprint.yaml" }, { "feature": "oauth-oidc-client-management", "version": "2.0.0", "description": "Lifecycle management of OAuth 2.0 and OpenID Connect clients — admin CRUD plus self-service OpenID Connect Dynamic Client Registration (RFC 7591).\n", "tags": [ "oauth2", "oidc", "client-registration", "dynamic-registration", "rfc7591" ], "aliases": [], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/oauth-oidc-client-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/oauth-oidc-client-management.blueprint.yaml" }, { "feature": "oauth-provider", "version": "1.0.0", "description": "OAuth 2.0 authorization server for issuing tokens to third-party applications", "tags": [ "oauth", "authorization", "tokens", "api", "security", "third-party", "integration" ], "aliases": [], "fitness": 92, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/oauth-provider.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/oauth-provider.blueprint.yaml" }, { "feature": "obd-dtc-diagnostics", "version": "1.0.0", "description": "Read, decode, and clear Diagnostic Trouble Codes (DTCs) from vehicle ECUs; report MIL (malfunction indicator lamp) status, DTC count, and human-readable fault descriptions", "tags": [ "obd", "vehicle", "diagnostics", "dtc", "fault", "mil", "check-engine", "mode3", "mode4" ], "aliases": [], "fitness": 71, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/obd-dtc-diagnostics.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/obd-dtc-diagnostics.blueprint.yaml" }, { "feature": "obd-pid-reading", "version": "1.0.0", "description": "Query vehicle ECUs for standardized Parameter IDs across OBD-II service modes, decoding raw byte responses into typed values with physical units and caching PID support per vehicle", "tags": [ "obd", "vehicle", "diagnostics", "pid", "sensor", "ecu", "decoding", "protocol" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/obd-pid-reading.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/obd-pid-reading.blueprint.yaml" }, { "feature": "obd-port-connection", "version": "1.0.0", "description": "Discover serial ports, negotiate baud rate with a diagnostic adapter, initialize it, validate OBD-II socket voltage, and auto-detect the vehicle protocol to establish a ready connection", "tags": [ "obd", "vehicle", "diagnostics", "serial", "connection", "discovery", "adapter", "protocol" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.2, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/obd-port-connection.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/obd-port-connection.blueprint.yaml" }, { "feature": "obd-realtime-sensors", "version": "1.0.0", "description": "Poll and stream live vehicle sensor readings — RPM, speed, coolant temperature, throttle position, mass air flow, and fuel level — with physical units and callback-driven updates", "tags": [ "obd", "vehicle", "sensors", "realtime", "rpm", "speed", "temperature", "maf", "throttle", "fuel", "streaming" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/obd-realtime-sensors.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/obd-realtime-sensors.blueprint.yaml" }, { "feature": "obd-vin-extraction", "version": "1.0.0", "description": "Read and decode the Vehicle Identification Number (VIN) from the vehicle ECU using OBD-II mode 9 service, stripping frame padding to produce a validated 17-character ISO 3779 string", "tags": [ "obd", "vehicle", "vin", "identification", "mode9", "vehicle-info" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/obd-vin-extraction.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/obd-vin-extraction.blueprint.yaml" }, { "feature": "openclaw-message-routing", "version": "1.0.0", "description": "Central message router resolving inbound messages to agents via binding precedence, role-based routing, and guild/channel/peer matching", "tags": [ "gateway", "routing", "messaging", "multi-tenant", "binding-resolution" ], "aliases": [], "fitness": 70, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/openclaw-message-routing.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/openclaw-message-routing.blueprint.yaml" }, { "feature": "openclaw-messaging-channel", "version": "1.0.0", "description": "Platform-agnostic messaging channel integration supporting Discord, Telegram, Slack, and 85+ platforms with unified message routing and delivery", "tags": [ "messaging", "channels", "discord", "telegram", "multi-platform" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/openclaw-messaging-channel.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/openclaw-messaging-channel.blueprint.yaml" }, { "feature": "openclaw-plugin-system", "version": "1.0.0", "description": "Plugin registration, lifecycle management, and capability-based permissions system for extending OpenClaw functionality", "tags": [ "plugins", "extensibility", "capabilities", "configuration", "modular" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/openclaw-plugin-system.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/openclaw-plugin-system.blueprint.yaml" }, { "feature": "order-lifecycle-webhooks", "version": "1.0.0", "description": "Configure and deliver webhook notifications to third-party endpoints for order lifecycle events", "tags": [ "fleet", "webhooks", "events", "integration", "callbacks", "api" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/order-lifecycle-webhooks.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/order-lifecycle-webhooks.blueprint.yaml" }, { "feature": "outgoing-webhooks", "version": "1.0.0", "description": "Trigger HTTP callbacks to external URLs when configured events occur in channels, enabling real-time integration with external systems", "tags": [ "webhooks", "http", "integration", "automation", "outbound", "callbacks" ], "aliases": [], "fitness": 87, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/outgoing-webhooks.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/outgoing-webhooks.blueprint.yaml" }, { "feature": "palm-vein", "version": "2.0.0", "description": "USB palm vein scanner integration using SDPVUnifiedAPI — capture, ROI detection, enrollment, 1:N identification, and cache pool management", "tags": [ "biometric", "vein-pattern", "hardware", "sdk", "usb", "android" ], "aliases": [], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/palm-vein.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/palm-vein.blueprint.yaml" }, { "feature": "payment-gateway", "version": "1.0.0", "description": "Process payments through a provider-agnostic gateway abstraction supporting authorization, capture, void, refund, and webhook-driven status updates", "tags": [ "payments", "gateway", "transactions", "pci", "financial" ], "aliases": [], "fitness": 87, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/payment-gateway.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/payment-gateway.blueprint.yaml" }, { "feature": "payments-gateway-api", "version": "1.0.0", "description": "Central HTTP surface for all payment operations — thin-client terminals and admin consoles call this; PGW owns rail selection, EMV, fraud, refunds, disputes", "tags": [ "gateway", "api", "payments", "rails", "emv", "fraud", "refund", "dispute" ], "aliases": [ "pgw", "payments-gateway", "payment-gateway-api", "v1-payments" ], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/payments-gateway-api.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/payments-gateway-api.blueprint.yaml" }, { "feature": "payshap-rail", "version": "1.0.0", "description": "Real-time payment rail integration for instant credit push payments with proxy resolution, settlement confirmation, and retry handling", "tags": [ "payments", "real-time", "instant-payment", "credit-push", "proxy-resolution" ], "aliases": [], "fitness": 86, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/payshap-rail.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/payshap-rail.blueprint.yaml" }, { "feature": "plugin-development", "version": "1.0.0", "description": "Create and register plugins to extend CSS framework with custom utilities, variants, and theme values", "tags": [ "extensibility", "plugins", "custom-utilities", "theme-extension" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/plugin-development.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/plugin-development.blueprint.yaml" }, { "feature": "plugin-overrides", "version": "1.0.0", "description": "Extensible plugin architecture with 12 UI override points, wrapping composition, field type customization, and sidebar panels", "tags": [ "plugin", "override", "extensibility", "customization", "editor-plugins" ], "aliases": [], "fitness": 77, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/plugin-overrides.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/plugin-overrides.blueprint.yaml" }, { "feature": "prisma-cli", "version": "1.0.0", "description": "CLI tools for schema validation, formatting, generation, and database introspection", "tags": [ "cli", "schema-tools", "developer-tools", "prisma", "introspection" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/prisma-cli.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/prisma-cli.blueprint.yaml" }, { "feature": "pub-sub-messaging", "version": "1.0.0", "description": "Real-time fire-and-forget message broadcasting with direct channel subscriptions and pattern-based subscriptions; sharded variant for cluster deployments", "tags": [ "pub-sub", "real-time-messaging", "broadcast", "pattern-matching", "no-persistence" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/pub-sub-messaging.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/pub-sub-messaging.blueprint.yaml" }, { "feature": "realtime-driver-tracking", "version": "1.0.0", "description": "Real-time GPS location tracking for drivers and vehicles with position history and live map updates", "tags": [ "fleet", "gps", "tracking", "real-time", "location", "telematics" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/realtime-driver-tracking.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/realtime-driver-tracking.blueprint.yaml" }, { "feature": "remote-device-commands", "version": "1.0.0", "description": "Send control commands from the platform to GPS tracking hardware using the device's native protocol channel or SMS fallback, supporting engine control, configuration, alarm management, and informat...", "tags": [ "gps", "tracking", "commands", "remote-control", "fleet", "iot" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/remote-device-commands.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/remote-device-commands.blueprint.yaml" }, { "feature": "room-aliases", "version": "1.0.0", "description": "Human-readable addresses for rooms enabling lookup and sharing by name. Supports local alias creation with namespace enforcement and federated alias resolution.", "tags": [ "alias", "directory", "addressing", "discovery", "room", "federation" ], "aliases": [], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/room-aliases.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/room-aliases.blueprint.yaml" }, { "feature": "room-lifecycle", "version": "1.0.0", "description": "Manage creation of communication rooms with configurable presets and version upgrades that atomically migrate members and state while tombstoning the old room.", "tags": [ "room", "creation", "lifecycle", "upgrade", "messaging", "collaboration" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/room-lifecycle.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/room-lifecycle.blueprint.yaml" }, { "feature": "room-state-history", "version": "1.0.0", "description": "Immutable append-only event graph forming a room's history and derived state. Handles state resolution on conflicts, efficient state caching, and authorization at every event.", "tags": [ "state", "history", "events", "dag", "resolution", "immutability", "authorization" ], "aliases": [], "fitness": 83, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/room-state-history.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/room-state-history.blueprint.yaml" }, { "feature": "server-plugin-framework", "version": "1.0.0", "description": "Isolated server-side extension system where plugins run as separate processes, communicate with the host via RPC, and react to application lifecycle events through a standardized hook interface.\n", "tags": [ "plugins", "extensions", "hooks", "rpc", "isolation", "server-side", "extensibility" ], "aliases": [], "fitness": 73, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/server-plugin-framework.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/server-plugin-framework.blueprint.yaml" }, { "feature": "slash-commands", "version": "1.0.0", "description": "Register and execute text commands with a / prefix in chat messages", "tags": [ "commands", "chat", "extensibility", "shortcuts", "integration" ], "aliases": [], "fitness": 76, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.2, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/slash-commands.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/slash-commands.blueprint.yaml" }, { "feature": "space-hierarchy", "version": "1.0.0", "description": "Organize rooms into hierarchical trees called spaces. Browse and navigate nested room structures with paginated breadth-first traversal and federated child resolution.", "tags": [ "spaces", "hierarchy", "grouping", "discovery", "navigation", "rooms" ], "aliases": [], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/space-hierarchy.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/space-hierarchy.blueprint.yaml" }, { "feature": "stablecoin-wallet-api", "version": "1.0.0", "description": "Stablecoin wallet infrastructure API — multi-chain wallets, addresses, deposits, withdrawals, swaps, gateway, checkout, and fiat offramp", "tags": [ "blockchain", "stablecoin", "crypto", "wallet", "api", "payments", "defi", "fintech" ], "aliases": [], "fitness": 72, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/stablecoin-wallet-api.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/blockradar-api.blueprint.yaml" }, { "feature": "user-federation-ldap-kerberos", "version": "1.0.0", "description": "LDAP, Kerberos, and AD directory integration", "tags": [ "federation", "ldap" ], "aliases": [], "fitness": 59, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/user-federation-ldap-kerberos.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/user-federation-ldap-kerberos.blueprint.yaml" }, { "feature": "voip-call-signaling", "version": "1.0.0", "description": "1:1 voice and video call signaling with TURN relay credential issuance and ICE candidate relay for authenticated accounts", "tags": [ "voip", "calling", "turn", "ice", "webrtc", "relay", "signaling" ], "aliases": [], "fitness": 82, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/voip-call-signaling.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/voip-call-signaling.blueprint.yaml" }, { "feature": "webhook-ingestion", "version": "1.0.0", "description": "Receive and process incoming webhooks from external services with signature verification (HMAC/RSA), replay protection, idempotent deduplication, and async handler routing", "tags": [ "webhooks", "ingestion", "signature-verification", "replay-protection", "events" ], "aliases": [], "fitness": 89, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/webhook-ingestion.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/webhook-ingestion.blueprint.yaml" }, { "feature": "webhook-trip-lifecycle", "version": "1.0.0", "description": "HTTP webhook delivery for order and driver lifecycle events, allowing external systems to react to ride state changes in real time.", "tags": [ "webhooks", "events", "notifications", "order-lifecycle", "driver" ], "aliases": [], "fitness": 67, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/integration/webhook-trip-lifecycle.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/integration/webhook-trip-lifecycle.blueprint.yaml" } ] }, "crm": { "count": 5, "blueprints": [ { "feature": "appointment-booking", "version": "1.0.0", "description": "Self-service appointment scheduling with availability slot management, email verification, agent assignment, and calendar event integration.\n", "tags": [ "appointment", "scheduling", "booking", "calendar", "self-service" ], "aliases": [], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/crm/appointment-booking.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/crm/appointment-booking.blueprint.yaml" }, { "feature": "campaign-management", "version": "1.0.0", "description": "Marketing campaign definition and email drip campaign execution with scheduled delivery, recipient tracking, and unsubscribe management.\n", "tags": [ "campaign", "email-marketing", "drip-sequence", "marketing", "automation" ], "aliases": [], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/crm/campaign-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/crm/campaign-management.blueprint.yaml" }, { "feature": "contract-management", "version": "1.0.0", "description": "Contract lifecycle management with signing workflow, date-driven status transitions, fulfilment tracking, and template-based term generation.\n", "tags": [ "contract", "agreement", "fulfilment", "signing", "compliance" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/crm/contract-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/crm/contract-management.blueprint.yaml" }, { "feature": "fleet-customer-contacts", "version": "1.0.0", "description": "Manage customers and contacts who place orders, including contact details, order history, and communication preferences", "tags": [ "fleet", "crm", "customer", "contacts", "delivery", "communication" ], "aliases": [], "fitness": 77, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/crm/fleet-customer-contacts.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/crm/fleet-customer-contacts.blueprint.yaml" }, { "feature": "lead-opportunity-pipeline", "version": "1.0.0", "description": "Lead capture, qualification, and opportunity pipeline management with conversion tracking from initial contact through to customer creation.\n", "tags": [ "lead", "opportunity", "pipeline", "sales", "qualification", "conversion" ], "aliases": [], "fitness": 82, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/crm/lead-opportunity-pipeline.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/crm/lead-opportunity-pipeline.blueprint.yaml" } ] }, "data": { "count": 59, "blueprints": [ { "feature": "bank-reconciliation", "version": "1.0.0", "description": "Bank reconciliation with statement import, auto/manual matching, reconciliation models, partial/full tracking, and write-off management.\n", "tags": [ "bank-reconciliation", "statement-import", "matching", "accounting", "write-off" ], "aliases": [], "fitness": 77, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/bank-reconciliation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/bank-reconciliation.blueprint.yaml" }, { "feature": "comments-annotations", "version": "1.0.0", "description": "Threaded comments on any entity (polymorphic) with rich text, @mentions, reactions, edit windows, and rate limiting", "tags": [ "comments", "annotations", "threading", "mentions", "reactions", "polymorphic", "collaboration" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/comments-annotations.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/comments-annotations.blueprint.yaml" }, { "feature": "content-articles", "version": "1.0.0", "description": "Blog and news article system for advisors and portfolio managers to publish market insights, product updates, and investment articles to clients", "tags": [ "blog", "articles", "content", "news", "market-insights", "wealth-management" ], "aliases": [], "fitness": 85, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/content-articles.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/content-articles.blueprint.yaml" }, { "feature": "content-tree", "version": "1.0.0", "description": "Hierarchical content tree with zone-based storage, tree walking, flattening, indexed lookups, and schema migration", "tags": [ "content-tree", "data-model", "serialization", "tree-operations", "page-data" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/content-tree.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/content-tree.blueprint.yaml" }, { "feature": "customer-supplier-management", "version": "1.0.0", "description": "Customer and supplier master data management with credit limits, territory and group hierarchies, portal access, lead conversion, internal parties, and supplier hold/block controls.\n", "tags": [ "customer", "supplier", "master-data", "credit-limit", "territory", "customer-group", "portal-access", "lead-conversion" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/customer-supplier-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/customer-supplier-management.blueprint.yaml" }, { "feature": "data-import-export", "version": "1.0.0", "description": "Bulk data import and export supporting CSV, Excel, and JSON formats with column mapping, row validation, background processing, and configurable error handling", "tags": [ "import", "export", "csv", "excel", "json", "bulk-data", "etl", "background-processing" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/data-import-export.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/data-import-export.blueprint.yaml" }, { "feature": "data-retention-policies", "version": "1.0.0", "description": "Hierarchical message and file deletion policies that automatically remove content older than configured retention periods, with granular overrides per workspace or channel.\n", "tags": [ "retention", "data-governance", "gdpr", "deletion", "compliance", "purge" ], "aliases": [], "fitness": 75, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/data-retention-policies.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/data-retention-policies.blueprint.yaml" }, { "feature": "device-status-tracking", "version": "1.0.0", "description": "Continuously monitor whether GPS devices are actively reporting, and automatically transition them between online, offline, and unknown states based on configurable inactivity thresholds, emitting ...", "tags": [ "gps", "tracking", "device-status", "connectivity", "fleet", "monitoring" ], "aliases": [], "fitness": 70, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/device-status-tracking.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/device-status-tracking.blueprint.yaml" }, { "feature": "document-management", "version": "1.0.0", "description": "Store, retrieve, manage, and generate documents with metadata, permissions, version control, and dynamic PDF generation", "tags": [ "documents", "file-management", "pdf-generation", "document-repository", "metadata", "permissions" ], "aliases": [], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/document-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/document-management.blueprint.yaml" }, { "feature": "driver-identification", "version": "1.0.0", "description": "Identify the driver operating a vehicle by matching hardware-reported credentials (RFID tag or iButton key) against a registry of named drivers, and emit an event whenever the driver assignment cha...", "tags": [ "gps", "tracking", "driver", "rfid", "ibutton", "fleet", "identification" ], "aliases": [], "fitness": 66, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/driver-identification.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/driver-identification.blueprint.yaml" }, { "feature": "editor-state", "version": "1.0.0", "description": "Centralized state management with sliced architecture, action dispatching, computed selections, and public API", "tags": [ "state-management", "store", "reducer", "editor", "centralized-state" ], "aliases": [], "fitness": 75, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/editor-state.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/editor-state.blueprint.yaml" }, { "feature": "encrypted-attachment-storage", "version": "1.0.0", "description": "Issue signed upload descriptors so authenticated clients can upload client-side encrypted attachments directly to cloud object storage, with server-enforced size limits and dual rate limiting", "tags": [ "attachments", "encryption", "upload", "resumable", "cloud-storage", "signed-url", "e2ee" ], "aliases": [], "fitness": 84, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/encrypted-attachment-storage.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/encrypted-attachment-storage.blueprint.yaml" }, { "feature": "engine-hours-tracking", "version": "1.0.0", "description": "Accumulate the total time a vehicle engine has been running by measuring the duration between consecutive positions while the ignition is on, providing accurate engine-hours data for maintenance sc...", "tags": [ "gps", "tracking", "engine-hours", "maintenance", "fleet", "ignition" ], "aliases": [], "fitness": 68, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/engine-hours-tracking.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/engine-hours-tracking.blueprint.yaml" }, { "feature": "eta-calculation", "version": "1.0.0", "description": "Calculate estimated time of arrival and driving distance between two geographic points, supporting both preliminary (straight-line) and precise (routing-based) calculations.", "tags": [ "eta", "routing", "distance", "geospatial", "matrix" ], "aliases": [], "fitness": 68, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/eta-calculation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/eta-calculation.blueprint.yaml" }, { "feature": "expense-approval", "version": "1.0.0", "description": "Submit and approve employee expense reports with receipt validation", "tags": [ "expense", "approval", "workflow", "finance", "reimbursement" ], "aliases": [], "fitness": 76, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/expense-approval.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/expense-approval.blueprint.yaml" }, { "feature": "field-transforms", "version": "1.0.0", "description": "Per-field-type transformation pipeline with read-only path resolution, async tracking, and trigger-based caching", "tags": [ "field-transforms", "data-resolution", "computed-properties", "pipeline", "editor" ], "aliases": [], "fitness": 73, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/field-transforms.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/field-transforms.blueprint.yaml" }, { "feature": "file-storage", "version": "1.0.0", "description": "Cloud storage abstraction with signed URLs, virus scanning, content type validation, checksum deduplication, and multi-provider support", "tags": [ "file-storage", "upload", "download", "s3", "cloud-storage", "signed-urls", "virus-scanning" ], "aliases": [], "fitness": 77, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/file-storage.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/file-storage.blueprint.yaml" }, { "feature": "fuel-level-reporting", "version": "1.0.0", "description": "Read fuel sensor data transmitted by GPS hardware, detect significant fuel drops (theft or fast consumption) and unexpected increases (refuelling), and provide fuel consumption summaries across tri...", "tags": [ "gps", "tracking", "fuel", "fleet", "sensor", "alert", "consumption" ], "aliases": [], "fitness": 65, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/fuel-level-reporting.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/fuel-level-reporting.blueprint.yaml" }, { "feature": "gdpr-data-export", "version": "1.0.0", "description": "Complete workspace data export for GDPR right-to-portability, compliance archival, and migration purposes, producing a JSONL stream with optional ZIP packaging of all messages, files, users,...", "tags": [ "gdpr", "data-portability", "export", "bulk-export", "compliance", "migration", "jsonl" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/gdpr-data-export.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/gdpr-data-export.blueprint.yaml" }, { "feature": "general-ledger", "version": "1.0.0", "description": "Manage hierarchical chart of accounts and post double-entry general ledger entries with period controls, cost center tracking, and party-level accounting", "tags": [ "accounting", "general-ledger", "chart-of-accounts", "double-entry", "erp", "cost-center" ], "aliases": [], "fitness": 73, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/general-ledger.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/general-ledger.blueprint.yaml" }, { "feature": "geofence-management", "version": "1.0.0", "description": "Define named geographic boundary zones as circles (centre point + radius) or polygons (closed coordinate ring), optionally with altitude constraints and calendar-based activation schedules, and eva...", "tags": [ "gps", "tracking", "geofence", "zone", "polygon", "circle", "fleet" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/geofence-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/geofence-management.blueprint.yaml" }, { "feature": "geofencing-regions", "version": "1.0.0", "description": "Define named circular regions by centre coordinates and radius; automatically detect when a tracked device enters or leaves each region and emit transition events.", "tags": [ "geofence", "regions", "waypoints", "location", "iot", "proximity", "transition" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/geofencing-regions.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/geofencing-regions.blueprint.yaml" }, { "feature": "gps-device-registration", "version": "1.0.0", "description": "Register and identify GPS tracking devices by unique hardware ID (IMEI or custom identifier), with per-device metadata, grouping, and lifecycle management.", "tags": [ "gps", "tracking", "device-management", "iot", "fleet" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/gps-device-registration.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/gps-device-registration.blueprint.yaml" }, { "feature": "gps-position-history", "version": "1.0.0", "description": "Query, replay, and export the historical sequence of GPS positions recorded for one or more devices over a user-specified time range, supporting route visualisation, speed analysis, and multi-forma...", "tags": [ "gps", "tracking", "history", "playback", "route", "report", "export", "fleet" ], "aliases": [], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/gps-position-history.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/gps-position-history.blueprint.yaml" }, { "feature": "ignition-detection", "version": "1.0.0", "description": "Detect transitions in vehicle ignition state by comparing the ignition attribute between consecutive position records, and emit ignition-on and ignition-off events to drive engine hours calculation...", "tags": [ "gps", "tracking", "ignition", "engine", "fleet", "event" ], "aliases": [], "fitness": 71, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/ignition-detection.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/ignition-detection.blueprint.yaml" }, { "feature": "legal-hold", "version": "1.0.0", "description": "Preservation order that suspends automated deletion of specific communications, files, and user data pending litigation, regulatory investigation, or legal request, overriding any data retention...", "tags": [ "legal-hold", "ediscovery", "litigation", "preservation", "compliance", "regulatory" ], "aliases": [], "fitness": 71, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/legal-hold.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/legal-hold.blueprint.yaml" }, { "feature": "list-queue-operations", "version": "1.0.0", "description": "Ordered collection with efficient head/tail insertion, removal, and range queries; supports blocking operations and atomic moves between lists", "tags": [ "lists", "queues", "stacks", "blocking-operations", "ordered-collections" ], "aliases": [], "fitness": 75, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/list-queue-operations.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/list-queue-operations.blueprint.yaml" }, { "feature": "location-history-storage", "version": "1.0.0", "description": "Store device location records in append-only monthly logs, maintain a last-known-position snapshot per device, and serve time-range queries in multiple output formats without an external database.", "tags": [ "location", "history", "storage", "flat-file", "gps", "tracking", "time-series" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/location-history-storage.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/location-history-storage.blueprint.yaml" }, { "feature": "media-repository", "version": "1.0.0", "description": "Upload, store, retrieve, and auto-thumbnail media files. Cache remote media locally, enforce size limits, support multiple storage backends, and run retention cleanup tasks.", "tags": [ "media", "upload", "download", "thumbnails", "storage", "files", "images", "caching" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/media-repository.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/media-repository.blueprint.yaml" }, { "feature": "odometer-tracking", "version": "1.0.0", "description": "Track cumulative vehicle mileage either by reading the hardware odometer transmitted by the GPS device or by calculating distance from GPS coordinates, with per-position incremental distances and a...", "tags": [ "gps", "tracking", "odometer", "mileage", "distance", "fleet", "maintenance" ], "aliases": [], "fitness": 68, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/odometer-tracking.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/odometer-tracking.blueprint.yaml" }, { "feature": "openclaw-session-management", "version": "1.0.0", "description": "Persistent conversation storage with automatic disk budgeting, transcript rotation, and session lifecycle tracking across messaging channels", "tags": [ "persistence", "conversation", "storage", "lifecycle", "maintenance" ], "aliases": [], "fitness": 76, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/openclaw-session-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/openclaw-session-management.blueprint.yaml" }, { "feature": "pagination", "version": "1.0.0", "description": "Cursor-based and offset-based pagination with configurable page sizes, stable sorting, and Link header support for REST APIs", "tags": [ "pagination", "cursor", "offset", "paging", "rest-api", "list" ], "aliases": [], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/pagination.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/pagination.blueprint.yaml" }, { "feature": "payload-collections", "version": "1.0.0", "description": "Full CRUD operations for document collections with pagination, filtering, hooks, bulk operations, and field selection", "tags": [ "cms", "headless", "crud", "collections", "pagination", "filtering", "hooks", "bulk-operations", "payload" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.2, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/payload-collections.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/payload-collections.blueprint.yaml" }, { "feature": "payload-document-locking", "version": "1.0.0", "description": "Automatic document locking to prevent concurrent editing with configurable lock duration and override capability", "tags": [ "cms", "locking", "concurrent-editing", "document-lock", "pessimistic-locking", "payload" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/payload-document-locking.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/payload-document-locking.blueprint.yaml" }, { "feature": "payload-globals", "version": "1.0.0", "description": "Singleton document management for site-wide settings, navigation, headers, and footers with versioning and access control", "tags": [ "cms", "globals", "singleton", "settings", "configuration", "site-wide", "payload" ], "aliases": [], "fitness": 65, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/payload-globals.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/payload-globals.blueprint.yaml" }, { "feature": "payload-preferences", "version": "1.0.0", "description": "Per-user preferences storage for admin UI state including collapsed fields, tab positions, column visibility, sort order, and list view settings", "tags": [ "cms", "preferences", "user-settings", "ui-state", "personalization", "admin-panel", "payload" ], "aliases": [], "fitness": 69, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/payload-preferences.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/payload-preferences.blueprint.yaml" }, { "feature": "payload-uploads", "version": "1.0.0", "description": "File upload system with image resizing, focal-point cropping, MIME validation, cloud storage adapters, and range request support", "tags": [ "cms", "uploads", "files", "images", "sharp", "resize", "crop", "focal-point", "storage", "payload" ], "aliases": [], "fitness": 73, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/payload-uploads.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/payload-uploads.blueprint.yaml" }, { "feature": "payload-versions", "version": "1.0.0", "description": "Document versioning with draft/publish workflow, autosave, version history, restore, scheduled publishing, and locale-specific status", "tags": [ "cms", "versioning", "drafts", "publish", "autosave", "restore", "scheduled-publish", "localization", "payload" ], "aliases": [], "fitness": 66, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/payload-versions.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/payload-versions.blueprint.yaml" }, { "feature": "popia-compliance", "version": "1.0.0", "description": "South African POPIA (Act 4 of 2013) reference — eight conditions for lawful processing, data subject rights, breach notification, direct marketing, automated decisions, transborder transfers.", "tags": [ "popia", "compliance", "privacy", "south-africa", "data-protection", "regulatory", "reference", "act-4-of-2013" ], "aliases": [ "protection-of-personal-information-act", "sa-data-protection", "south-africa-privacy-law", "act-4-of-2013", "popi-act" ], "fitness": 81, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/popia-compliance.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/popia-compliance.blueprint.yaml" }, { "feature": "portfolio-management", "version": "1.0.0", "description": "Retrieve, manage, and report on investment portfolio holdings, positions, valuations, and transaction history", "tags": [ "portfolio", "holdings", "valuations", "wealth-management", "positions" ], "aliases": [], "fitness": 82, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/portfolio-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/portfolio-management.blueprint.yaml" }, { "feature": "prisma-crud", "version": "1.0.0", "description": "Execute type-safe database CRUD operations with Prisma Client query builder", "tags": [ "crud", "database", "orm", "prisma", "query-builder" ], "aliases": [], "fitness": 76, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/prisma-crud.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/prisma-crud.blueprint.yaml" }, { "feature": "prisma-migrations", "version": "1.0.0", "description": "Manage database schema versioning and evolution with safe migrations", "tags": [ "migrations", "database", "schema-evolution", "deployment", "versioning" ], "aliases": [], "fitness": 68, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/prisma-migrations.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/prisma-migrations.blueprint.yaml" }, { "feature": "prisma-schema", "version": "1.0.0", "description": "Define application data models with fields, types, relationships, and validation rules in Prisma schema", "tags": [ "schema", "models", "orm", "data-modeling", "prisma" ], "aliases": [], "fitness": 70, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/prisma-schema.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/prisma-schema.blueprint.yaml" }, { "feature": "product-configurator", "version": "1.0.0", "description": "Product configuration with attributes, variant generation, exclusion rules, dynamic pricing, visual pickers, custom inputs, and matrix bulk ordering.\n", "tags": [ "product-configuration", "variants", "attributes", "pricing", "matrix-ordering" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/product-configurator.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/product-configurator.blueprint.yaml" }, { "feature": "proof-of-delivery", "version": "1.0.0", "description": "Capture proof of pickup or drop-off for an order or specific waypoint/entity, supporting digital signature, photo upload, and QR code scan as verification methods.", "tags": [ "proof", "signature", "photo", "qr-code", "delivery-confirmation", "pod" ], "aliases": [], "fitness": 71, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/proof-of-delivery.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/proof-of-delivery.blueprint.yaml" }, { "feature": "proposals-quotations", "version": "1.0.0", "description": "Creation, management, and approval workflow for investment proposals and quotations delivered to clients", "tags": [ "proposals", "quotations", "document-generation", "client-communication" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/proposals-quotations.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/proposals-quotations.blueprint.yaml" }, { "feature": "search-and-filtering", "version": "1.0.0", "description": "Full-text search with faceted filters, sorting, relevance scoring, fuzzy matching, and saved searches", "tags": [ "search", "filtering", "full-text", "facets", "sorting", "relevance", "fuzzy-matching" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/search-and-filtering.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/search-and-filtering.blueprint.yaml" }, { "feature": "service-zones", "version": "1.0.0", "description": "Define geographic service areas and subdivide them into operational zones, used to scope fleet operations, restrict order pickup and drop-off, and assign drivers to specific areas.", "tags": [ "geospatial", "zones", "service-areas", "polygons", "operations" ], "aliases": [], "fitness": 71, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/service-zones.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/service-zones.blueprint.yaml" }, { "feature": "set-operations", "version": "1.0.0", "description": "Unordered collection of unique elements with set algebra operations (union, intersection, difference) and cardinality counting", "tags": [ "sets", "unordered-collections", "set-algebra", "cardinality" ], "aliases": [], "fitness": 69, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/set-operations.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/set-operations.blueprint.yaml" }, { "feature": "shared-location-friends", "version": "1.0.0", "description": "Allow devices to receive the last-known positions and profile cards of a curated friend list when polling for location updates, enabling shared-location without direct device-to-device communication.", "tags": [ "friends", "shared-location", "presence", "location-sharing", "social", "iot" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/shared-location-friends.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/shared-location-friends.blueprint.yaml" }, { "feature": "soft-delete", "version": "1.0.0", "description": "Trash/archive/restore pattern with soft deletion, configurable retention periods, automatic purging, and cascade rules for related records", "tags": [ "soft-delete", "trash", "archive", "restore", "purge", "retention", "data-lifecycle" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/soft-delete.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/soft-delete.blueprint.yaml" }, { "feature": "sorted-set-and-hash-operations", "version": "1.0.0", "description": "Sorted collections with ranking and scoring; nested key-value maps with field-level operations and optional TTL per field", "tags": [ "sorted-sets", "hashes", "nested-kv", "scoring", "field-expiration", "ranking" ], "aliases": [], "fitness": 68, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/sorted-set-and-hash-operations.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/sorted-set-and-hash-operations.blueprint.yaml" }, { "feature": "stream-event-log", "version": "1.0.0", "description": "Append-only event log with monotonically increasing IDs, consumer groups for distributed processing, and automatic acknowledgment tracking", "tags": [ "streams", "event-log", "consumer-groups", "message-queue", "ack-tracking", "ordering" ], "aliases": [], "fitness": 71, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/stream-event-log.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/stream-event-log.blueprint.yaml" }, { "feature": "string-key-value", "version": "1.0.0", "description": "Store and retrieve arbitrary-length string values with atomic increment, decrement, append, and range operations", "tags": [ "strings", "key-value", "atomic-operations", "numeric-operations" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/string-key-value.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/string-key-value.blueprint.yaml" }, { "feature": "tagging-categorization", "version": "1.0.0", "description": "Tags, labels, and hierarchical categories for organizing entities with tag groups, colors, slug auto-generation, and category depth limits", "tags": [ "tagging", "categorization", "labels", "taxonomy", "hierarchy", "organization" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/tagging-categorization.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/tagging-categorization.blueprint.yaml" }, { "feature": "tax-engine", "version": "1.0.0", "description": "Tax engine with percentage, fixed, division, group, and formula-based tax types, repartition, cash-basis accounting, and fiscal position mapping.\n", "tags": [ "tax-computation", "vat", "sales-tax", "fiscal-position", "cash-basis" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/tax-engine.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/tax-engine.blueprint.yaml" }, { "feature": "trip-history", "version": "1.0.0", "description": "Persistent history of completed and past trips per rider and per driver, including tracking numbers, activity timelines, and position trails for audit and replay.", "tags": [ "history", "trips", "tracking", "audit", "driver-history", "rider-history" ], "aliases": [], "fitness": 75, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/trip-history.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/trip-history.blueprint.yaml" }, { "feature": "undo-redo", "version": "1.0.0", "description": "Linear history stack with debounced recording, forward-branch destruction, and keyboard shortcut navigation", "tags": [ "undo", "redo", "history", "state-management", "editor" ], "aliases": [], "fitness": 82, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/undo-redo.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/undo-redo.blueprint.yaml" }, { "feature": "visited-places-detection", "version": "1.0.0", "description": "Automatically clusters stationary GPS points into candidate visit records, merges adjacent stays at the same location, and surfaces them for user confirmation or dismissal.", "tags": [ "location", "gps", "clustering", "places", "visits", "stay-detection" ], "aliases": [], "fitness": 76, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/data/visited-places-detection.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/data/visited-places-detection.blueprint.yaml" } ] }, "communication": { "count": 16, "blueprints": [ { "feature": "channel-directory", "version": "1.0.0", "description": "Browse and discover public channels and rooms available on the platform", "tags": [ "channels", "rooms", "discovery", "directory", "search", "public" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/communication/channel-directory.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/communication/channel-directory.blueprint.yaml" }, { "feature": "channel-messaging", "version": "1.0.0", "description": "Public and private group channels for team-wide or restricted conversations with membership, roles, and moderation controls", "tags": [ "messaging", "channels", "groups", "rooms", "moderation" ], "aliases": [], "fitness": 84, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/communication/channel-messaging.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/communication/channel-messaging.blueprint.yaml" }, { "feature": "channel-moderation", "version": "1.0.0", "description": "Tools for channel administrators to control member participation, including muting channels, removing members, and managing posting permissions through role-based moderation controls.\n", "tags": [ "moderation", "channel-admin", "mute", "kick", "ban", "permissions" ], "aliases": [], "fitness": 72, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/communication/channel-moderation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/communication/channel-moderation.blueprint.yaml" }, { "feature": "direct-messaging", "version": "1.0.0", "description": "1:1 and small-group private conversations between users with read receipts and notification preferences", "tags": [ "messaging", "direct", "private", "real-time" ], "aliases": [], "fitness": 85, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/communication/direct-messaging.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/communication/direct-messaging.blueprint.yaml" }, { "feature": "file-upload-sharing", "version": "1.0.0", "description": "Upload and share files, images, audio, and video in conversation channels with automatic thumbnail generation and inline preview", "tags": [ "files", "uploads", "media", "attachments", "sharing" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/communication/file-upload-sharing.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/communication/file-upload-sharing.blueprint.yaml" }, { "feature": "full-text-message-search", "version": "1.0.0", "description": "Search message content across all channels accessible to the user, with pluggable search provider support and real-time result streaming", "tags": [ "search", "messages", "full-text", "discovery", "indexing" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.2, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/communication/full-text-message-search.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/communication/full-text-message-search.blueprint.yaml" }, { "feature": "link-preview-unfurling", "version": "1.0.0", "description": "Automatically generate rich previews for URLs in messages by fetching metadata and oEmbed data, with caching to avoid redundant requests", "tags": [ "urls", "preview", "oembed", "metadata", "unfurling" ], "aliases": [], "fitness": 77, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/communication/link-preview-unfurling.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/communication/link-preview-unfurling.blueprint.yaml" }, { "feature": "message-editing-deletion", "version": "1.0.0", "description": "Allow users to edit the content of sent messages and delete messages, with optional edit history preservation and configurable time windows", "tags": [ "messaging", "editing", "deletion", "moderation", "history" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/communication/message-editing-deletion.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/communication/message-editing-deletion.blueprint.yaml" }, { "feature": "message-pinning", "version": "1.0.0", "description": "Pin important messages to a channel so members can quickly find key information without scrolling through history", "tags": [ "messaging", "pinning", "channel", "moderation" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/communication/message-pinning.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/communication/message-pinning.blueprint.yaml" }, { "feature": "message-reactions", "version": "1.0.0", "description": "Emoji reactions on messages, allowing users to express sentiment without posting a reply; supports toggle (add/remove) semantics", "tags": [ "messaging", "reactions", "emoji", "engagement" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.2, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/communication/message-reactions.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/communication/message-reactions.blueprint.yaml" }, { "feature": "message-starring", "version": "1.0.0", "description": "Allow users to star or bookmark individual messages for personal reference, independent of channel-level pinning", "tags": [ "messaging", "bookmarks", "personal", "favorites" ], "aliases": [], "fitness": 76, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.2, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/communication/message-starring.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/communication/message-starring.blueprint.yaml" }, { "feature": "message-threading", "version": "1.0.0", "description": "Threaded replies to messages, keeping focused conversations nested under a parent message without cluttering the main channel timeline", "tags": [ "messaging", "threads", "replies", "conversations" ], "aliases": [], "fitness": 83, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/communication/message-threading.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/communication/message-threading.blueprint.yaml" }, { "feature": "read-receipts", "version": "1.0.0", "description": "Track and display which users have read each message, providing per-user read confirmation for messages in conversations", "tags": [ "read-receipts", "messages", "tracking", "confirmation", "delivery" ], "aliases": [], "fitness": 86, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/communication/read-receipts.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/communication/read-receipts.blueprint.yaml" }, { "feature": "team-workspaces", "version": "1.0.0", "description": "Multi-tenant workspace model where users belong to isolated teams, each with their own channels, members, and permission configurations.\n", "tags": [ "multi-tenant", "workspaces", "teams", "collaboration", "isolation" ], "aliases": [], "fitness": 77, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/communication/team-workspaces.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/communication/team-workspaces.blueprint.yaml" }, { "feature": "typing-indicators", "version": "1.0.0", "description": "Real-time indicators showing which users are currently typing, recording, uploading, or performing other in-progress actions in a conversation", "tags": [ "typing", "real-time", "notifications", "activity", "presence" ], "aliases": [], "fitness": 85, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/communication/typing-indicators.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/communication/typing-indicators.blueprint.yaml" }, { "feature": "user-presence", "version": "1.0.0", "description": "Track and broadcast user presence status (online, away, busy, offline) with automatic detection based on connection and activity", "tags": [ "presence", "status", "real-time", "availability" ], "aliases": [], "fitness": 87, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/communication/user-presence.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/communication/user-presence.blueprint.yaml" } ] }, "asset": { "count": 20, "blueprints": [ { "feature": "asset-maintenance-repairs", "version": "1.0.0", "description": "Asset maintenance scheduling and repair management with preventive and corrective tasks, repair cost capitalization, and stock consumption tracking for parts used during repairs.\n", "tags": [ "asset-maintenance", "preventive-maintenance", "corrective-maintenance", "repair", "maintenance-log", "asset-lifecycle" ], "aliases": [], "fitness": 73, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/asset/asset-maintenance-repairs.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/asset/asset-maintenance-repairs.blueprint.yaml" }, { "feature": "battery-health-tracking", "version": "1.0.0", "description": "Monitors EV battery health over time by comparing reported range capacity against a manufacturer baseline, detecting degradation trends and alerting when capacity loss exceeds a threshold.", "tags": [ "vehicle", "battery", "health", "degradation", "ev", "telemetry", "analytics" ], "aliases": [], "fitness": 72, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.9, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/asset/battery-health-tracking.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/asset/battery-health-tracking.blueprint.yaml" }, { "feature": "driver-behaviour-scoring", "version": "1.0.0", "description": "Analyses vehicle telemetry (speed and power time series) to detect hard braking and rapid acceleration events, producing a per-trip smoothness score for driver feedback.", "tags": [ "vehicle", "driver", "behaviour", "scoring", "ev", "safety", "efficiency", "telemetry" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/asset/driver-behaviour-scoring.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/asset/driver-behaviour-scoring.blueprint.yaml" }, { "feature": "ev-charging-cost-tariff", "version": "1.0.0", "description": "Calculates EV charging session cost using location-linked tariffs (per-kWh or per-minute) with optional flat session fees and free-charging programme exemptions.", "tags": [ "ev", "charging", "cost", "tariff", "billing", "geofence", "vehicle" ], "aliases": [], "fitness": 77, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.9, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/asset/ev-charging-cost-tariff.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/asset/ev-charging-cost-tariff.blueprint.yaml" }, { "feature": "ev-charging-session", "version": "1.0.0", "description": "Records the full lifecycle of an EV charging session — opening on plug-in, appending per-reading telemetry throughout, and aggregating energy, duration, cost, and battery change on close.", "tags": [ "ev", "charging", "energy", "kWh", "telemetry", "cost", "vehicle" ], "aliases": [], "fitness": 71, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/asset/ev-charging-session.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/asset/ev-charging-session.blueprint.yaml" }, { "feature": "fixed-asset-lifecycle", "version": "1.0.0", "description": "Fixed asset lifecycle management covering registration, multi-book depreciation, asset movements, value adjustments, disposal, and capitalization with automatic GL entries.\n", "tags": [ "fixed-asset", "depreciation", "asset-movement", "capitalization", "finance-books", "general-ledger" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/asset/fixed-asset-lifecycle.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/asset/fixed-asset-lifecycle.blueprint.yaml" }, { "feature": "fleet-vehicle-registry", "version": "1.0.0", "description": "Registry of fleets and vehicles within an organization, including fleet grouping, vehicle assignment to drivers, and vehicle type management.", "tags": [ "fleet", "vehicle", "registry", "asset-management", "driver-vehicle" ], "aliases": [], "fitness": 70, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/asset/fleet-vehicle-registry.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/asset/fleet-vehicle-registry.blueprint.yaml" }, { "feature": "geofence-places", "version": "1.0.0", "description": "User-defined named circular geofences that tag trip start/end and charging events with place labels and optionally apply billing tariffs to sessions at that location.", "tags": [ "geofence", "location", "places", "vehicle", "trip", "charging", "spatial" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/asset/geofence-places.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/asset/geofence-places.blueprint.yaml" }, { "feature": "location-visit-history", "version": "1.0.0", "description": "Tracks where a vehicle parks by linking trip and charge events to reverse-geocoded addresses and named geofences, enabling reporting on dwell time and visit frequency per location.", "tags": [ "vehicle", "location", "history", "visits", "parking", "address", "telemetry" ], "aliases": [], "fitness": 66, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/asset/location-visit-history.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/asset/location-visit-history.blueprint.yaml" }, { "feature": "odometer-validation", "version": "1.0.0", "description": "Validates vehicle odometer readings ingested from telemetry, enforcing minimum trip distance thresholds, detecting negative distance anomalies, and flagging unexpected odometer jumps.", "tags": [ "vehicle", "odometer", "validation", "trip", "sanity", "telemetry", "ev" ], "aliases": [], "fitness": 74, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/asset/odometer-validation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/asset/odometer-validation.blueprint.yaml" }, { "feature": "trip-energy-consumption", "version": "1.0.0", "description": "Calculates energy consumed per trip from battery range delta and a per-vehicle efficiency factor derived statistically from charging history and updated after each qualifying session.", "tags": [ "vehicle", "energy", "efficiency", "ev", "telemetry", "trip" ], "aliases": [], "fitness": 69, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/asset/trip-energy-consumption.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/asset/trip-energy-consumption.blueprint.yaml" }, { "feature": "trip-replay", "version": "1.0.0", "description": "Records a dense telemetry time-series (position, speed, power, elevation, battery) throughout every trip, enabling post-hoc replay with full speed and elevation profiles.", "tags": [ "vehicle", "trip", "replay", "telemetry", "speed", "elevation", "ev" ], "aliases": [], "fitness": 65, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/asset/trip-replay.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/asset/trip-replay.blueprint.yaml" }, { "feature": "vehicle-depreciation", "version": "1.0.0", "description": "Calculate and record periodic depreciation for fleet vehicles using configurable methods, track book value over time, and generate depreciation schedules per finance book.", "tags": [ "fleet", "vehicle", "depreciation", "finance", "accounting", "book-value" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/asset/vehicle-depreciation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/asset/vehicle-depreciation.blueprint.yaml" }, { "feature": "vehicle-efficiency-metrics", "version": "1.0.0", "description": "Tracks a vehicle's energy efficiency (Wh/km) over time by statistically deriving an efficiency factor from charging sessions and applying it to trips for trend analysis.", "tags": [ "vehicle", "efficiency", "energy", "ev", "analytics", "telemetry" ], "aliases": [], "fitness": 68, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/asset/vehicle-efficiency-metrics.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/asset/vehicle-efficiency-metrics.blueprint.yaml" }, { "feature": "vehicle-insurance", "version": "1.0.0", "description": "Track insurance policies for fleet vehicles including coverage type, premium, excess, validity dates, and renewal lifecycle.", "tags": [ "fleet", "vehicle", "insurance", "compliance", "policy" ], "aliases": [], "fitness": 76, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/asset/vehicle-insurance.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/asset/vehicle-insurance.blueprint.yaml" }, { "feature": "vehicle-master-data", "version": "1.0.0", "description": "Maintain the canonical specification record for a fleet vehicle including make, model, year, VIN, fuel type, physical dimensions, and current assignment.", "tags": [ "fleet", "vehicle", "master-data", "specifications", "vin" ], "aliases": [], "fitness": 76, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/asset/vehicle-master-data.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/asset/vehicle-master-data.blueprint.yaml" }, { "feature": "vehicle-registration", "version": "1.0.0", "description": "Register a vehicle into the fleet with legal identification, assign ownership, and track registration status and renewal dates.", "tags": [ "fleet", "vehicle", "registration", "ownership", "compliance" ], "aliases": [], "fitness": 75, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/asset/vehicle-registration.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/asset/vehicle-registration.blueprint.yaml" }, { "feature": "vehicle-sleep-wake-detection", "version": "1.0.0", "description": "Detects when a connected vehicle enters and exits sleep mode by observing API availability, persists sleep period records, and adapts the polling schedule to minimise battery drain.", "tags": [ "vehicle", "sleep", "wake", "battery", "telemetry", "ev", "polling" ], "aliases": [], "fitness": 69, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/asset/vehicle-sleep-wake-detection.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/asset/vehicle-sleep-wake-detection.blueprint.yaml" }, { "feature": "vehicle-state-machine", "version": "1.0.0", "description": "Tracks the real-time operational state of a connected vehicle (online, driving, charging, asleep, offline, updating) by polling a vehicle API and persisting state transitions.", "tags": [ "vehicle", "telemetry", "state-machine", "ev", "fleet", "polling" ], "aliases": [], "fitness": 69, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/asset/vehicle-state-machine.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/asset/vehicle-state-machine.blueprint.yaml" }, { "feature": "vehicle-trip-segmentation", "version": "1.0.0", "description": "Automatically detects trip start and end from gear state signals, records position telemetry, and aggregates each completed trip into a drive record with distance, duration, and energy metadata.", "tags": [ "vehicle", "trip", "telemetry", "odometer", "ev", "fleet" ], "aliases": [], "fitness": 80, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.7, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/asset/vehicle-trip-segmentation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/asset/vehicle-trip-segmentation.blueprint.yaml" } ] }, "ai": { "count": 6, "blueprints": [ { "feature": "ai-solo-business-automation", "version": "1.0.0", "description": "Autonomous AI-to-AI service platform — sells intelligence, tools, and compute to other AI systems via MCP and API, zero human involvement, self-improving", "tags": [ "ai", "ai-to-ai", "autonomous", "mcp", "api", "self-improving", "agents", "tools", "rag", "inference", "zero-human" ], "aliases": [], "fitness": 89, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ai/ai-solo-business-automation.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ai/ai-solo-business-automation.blueprint.yaml" }, { "feature": "dataset-pipeline", "version": "1.1.0", "description": "Build efficient input data pipelines for ML training and inference — covers tf.data (caching, prefetching, AUTOTUNE) and PyTorch DataLoader (multi-process workers, samplers, collate) patterns", "tags": [ "ai", "data-pipeline", "preprocessing", "pytorch", "tensorflow", "etl", "performance" ], "aliases": [], "fitness": 77, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ai/dataset-pipeline.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ai/dataset-pipeline.blueprint.yaml" }, { "feature": "distributed-training", "version": "1.0.0", "description": "Configure multi-GPU or multi-node ML training using DDP, FSDP, or hybrid strategies — covers process group setup, collective communication, and distributed checkpoint coordination", "tags": [ "ai", "distributed", "machine-learning", "pytorch", "ddp", "fsdp", "multi-gpu" ], "aliases": [], "fitness": 86, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ai/distributed-training.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ai/distributed-training.blueprint.yaml" }, { "feature": "model-serving", "version": "1.1.0", "description": "Export trained ML models for production inference — covers TF SavedModel/TF Serving versioning and PyTorch export patterns (torch.export, ONNX, torch.compile)", "tags": [ "ai", "serving", "inference", "savedmodel", "deployment", "versioning", "pytorch", "onnx" ], "aliases": [], "fitness": 81, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ai/model-serving.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ai/model-serving.blueprint.yaml" }, { "feature": "model-training", "version": "1.1.0", "description": "Train, evaluate, and checkpoint ML models with configurable optimizers, LR schedulers, mixed precision, and distributed strategies — covers Keras fit API and PyTorch training loop", "tags": [ "ai", "machine-learning", "training", "deep-learning", "pytorch", "tensorflow" ], "aliases": [], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ai/model-training.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ai/model-training.blueprint.yaml" }, { "feature": "openclaw-llm-provider", "version": "1.0.0", "description": "Multi-provider AI model integration with fallback chains, cost tracking, streaming, and extended thinking support", "tags": [ "ai", "models", "providers", "streaming", "llm" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/ai/openclaw-llm-provider.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/ai/openclaw-llm-provider.blueprint.yaml" } ] }, "admin": { "count": 2, "blueprints": [ { "feature": "transactions-console", "version": "1.0.0", "description": "Admin web UI — live transaction explorer with drill-down, refund/dispute initiation, reconciliation state, and CSV/JSON export; every admin action is audited", "tags": [ "admin", "console", "transactions", "refund", "dispute", "audit", "reconciliation" ], "aliases": [ "admin-transactions", "transactions-explorer", "ops-console" ], "fitness": 66, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/admin/transactions-console.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/admin/transactions-console.blueprint.yaml" }, { "feature": "vendor-management", "version": "1.0.0", "description": "Admin vendor registry — acquirers, SMS/email/KYC/fraud-signal providers; credential rotation, per-merchant overrides, health + cost visibility, full audit trail", "tags": [ "admin", "vendor", "provider", "credentials", "rotation", "audit" ], "aliases": [ "vendor-registry", "providers", "integration-registry" ], "fitness": 70, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.3, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/admin/vendor-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/admin/vendor-management.blueprint.yaml" } ] }, "access": { "count": 18, "blueprints": [ { "feature": "admin-panel", "version": "1.0.0", "description": "Administrative dashboard for user management, account linking, notification broadcasting, and system configuration", "tags": [ "admin", "user-management", "account-linking", "notification-broadcast", "system-administration", "wealth-management" ], "aliases": [], "fitness": 89, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/access/admin-panel.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/access/admin-panel.blueprint.yaml" }, { "feature": "data-privacy-compliance", "version": "1.0.0", "description": "GDPR/CCPA compliance with consent management, data export, right to erasure, and cookie consent", "tags": [ "gdpr", "ccpa", "privacy", "consent", "erasure", "data-portability", "compliance", "cookies", "right-to-access" ], "aliases": [], "fitness": 88, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/access/data-privacy-compliance.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/access/data-privacy-compliance.blueprint.yaml" }, { "feature": "fine-grained-authorization", "version": "1.0.0", "description": "Resource-based and policy-based authorization", "tags": [ "authorization", "rbac" ], "aliases": [], "fitness": 62, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/access/fine-grained-authorization.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/access/fine-grained-authorization.blueprint.yaml" }, { "feature": "fleet-device-sharing", "version": "1.0.0", "description": "Control which users can see and operate which GPS devices through an ACL permission model, with hierarchical device groups that inherit configuration and enable bulk sharing, user restrictions to l...", "tags": [ "gps", "tracking", "permissions", "groups", "sharing", "fleet", "access-control" ], "aliases": [], "fitness": 75, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/access/fleet-device-sharing.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/access/fleet-device-sharing.blueprint.yaml" }, { "feature": "guest-accounts", "version": "1.0.0", "description": "Restricted user accounts that can be invited to specific channels only, cannot access broader workspace content, and are automatically removed from a workspace when they have no remaining channel...", "tags": [ "guests", "restricted-access", "invitation", "external-users", "channel-scoped" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/access/guest-accounts.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/access/guest-accounts.blueprint.yaml" }, { "feature": "guest-room-access", "version": "1.0.0", "description": "Allow unauthenticated guest users to access rooms without a full account. Room owners control guest access via a state event. Revoking access removes existing guests.", "tags": [ "guest", "anonymous", "access-control", "room", "membership" ], "aliases": [], "fitness": 83, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/access/guest-room-access.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/access/guest-room-access.blueprint.yaml" }, { "feature": "openclaw-gateway-authentication", "version": "1.0.0", "description": "Multi-mode gateway authentication with rate limiting, device tokens, and Tailscale VPN integration", "tags": [ "authentication", "authorization", "security", "rate-limiting", "gateway" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.8, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/access/openclaw-gateway-authentication.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/access/openclaw-gateway-authentication.blueprint.yaml" }, { "feature": "payload-access-control", "version": "1.0.0", "description": "Function-based access control with collection-level, field-level, and document-level permissions supporting boolean and WHERE clause results", "tags": [ "cms", "access-control", "permissions", "rbac", "field-level", "document-level", "where-clause", "payload" ], "aliases": [], "fitness": 76, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/access/payload-access-control.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/access/payload-access-control.blueprint.yaml" }, { "feature": "permission-scheme-management", "version": "1.0.0", "description": "Named collections of default role assignments that can be applied to workspaces or channels to customize the permission baseline for all members, replacing system-wide role defaults with...", "tags": [ "permissions", "schemes", "rbac", "role-defaults", "access-control", "customization" ], "aliases": [], "fitness": 75, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.5, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/access/permission-scheme-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/access/permission-scheme-management.blueprint.yaml" }, { "feature": "rate-limiting", "version": "1.0.0", "description": "Configurable request throttling with multiple scopes and algorithms to protect APIs from abuse", "tags": [ "rate-limiting", "throttling", "api-protection", "security", "ddos", "abuse-prevention", "middleware" ], "aliases": [], "fitness": 89, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/access/rate-limiting.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/access/rate-limiting.blueprint.yaml" }, { "feature": "role-based-access", "version": "1.0.0", "description": "Role-based access control with hierarchical permission inheritance", "tags": [ "rbac", "permissions", "roles", "authorization", "hierarchy", "security", "access-control" ], "aliases": [], "fitness": 89, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/access/role-based-access.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/access/role-based-access.blueprint.yaml" }, { "feature": "role-based-access-control", "version": "1.0.0", "description": "Three-tier RBAC system where permissions are granted through roles assigned at system, workspace, and channel scopes. Roles are additive and hierarchical.\n", "tags": [ "rbac", "roles", "permissions", "authorization", "multi-scope" ], "aliases": [], "fitness": 79, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/access/role-based-access-control.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/access/role-based-access-control.blueprint.yaml" }, { "feature": "room-invitations", "version": "1.0.0", "description": "Controls how users enter rooms via invitation, direct join, or knock. Enforces join rules and rate-limits invitations. Supports third-party invitations via identity servers.", "tags": [ "invite", "join", "knock", "membership", "access-control", "room", "rate-limiting" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/access/room-invitations.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/access/room-invitations.blueprint.yaml" }, { "feature": "room-power-levels", "version": "1.0.0", "description": "Fine-grained numeric permission system controlling which users may send event types and perform membership actions. Higher numbers grant broader permissions.", "tags": [ "power-levels", "permissions", "authorization", "moderation", "roles", "room" ], "aliases": [], "fitness": 78, "completeness": { "errors": 0, "warnings": 2 }, "structure_ratio": 0.4, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/access/room-power-levels.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/access/room-power-levels.blueprint.yaml" }, { "feature": "team-organization", "version": "1.0.0", "description": "Multi-tenant organization and team management with member invitations and data isolation", "tags": [ "multi-tenancy", "organizations", "teams", "workspaces", "invitations", "collaboration", "saas" ], "aliases": [], "fitness": 91, "completeness": { "errors": 0, "warnings": 0 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/access/team-organization.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/access/team-organization.blueprint.yaml" }, { "feature": "user-consent-management", "version": "1.0.0", "description": "OAuth/OIDC consent tracking and enforcement", "tags": [ "consent", "oauth2" ], "aliases": [], "fitness": 62, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/access/user-consent-management.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/access/user-consent-management.blueprint.yaml" }, { "feature": "user-deactivation-archiving", "version": "1.0.0", "description": "Controlled suspension and permanent deletion of user accounts, preserving message history and audit trails on soft-deactivation while supporting hard deletion for GDPR right-to-erasure requests.\n", "tags": [ "deactivation", "archiving", "gdpr", "erasure", "soft-delete", "account-lifecycle" ], "aliases": [], "fitness": 75, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 0.6, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/access/user-deactivation-archiving.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/access/user-deactivation-archiving.blueprint.yaml" }, { "feature": "user-groups-organizations", "version": "1.0.0", "description": "Hierarchical groups with role inheritance", "tags": [ "groups", "organizations" ], "aliases": [], "fitness": 62, "completeness": { "errors": 0, "warnings": 1 }, "structure_ratio": 1, "api_url": "https://theunsbarnardt.github.io/ai-fdl-kit/api/blueprints/access/user-groups-organizations.json", "yaml_url": "https://raw.githubusercontent.com/TheunsBarnardt/ai-fdl-kit/master/blueprints/access/user-groups-organizations.blueprint.yaml" } ] } } }