> ## Documentation Index > Fetch the complete documentation index at: https://docs.dacard.ai/llms.txt > Use this file to discover all available pages before exploring further. # Get suite intelligence > Cross-product suite analytics including dimension heatmap, systemic strengths/weaknesses, cluster analysis, and computed insights. **Permission:** `report:suite` (lead+ role) ## OpenAPI ````yaml get /api/products/suite openapi: 3.1.0 info: title: Dacard.ai API description: > Decision intelligence platform for AI-native product teams. Score, connect, and compound your product maturity across two original frameworks. version: 0.1.0 contact: name: Darren Card email: darren@darrencard.com url: https://darrencard.com license: name: Proprietary servers: - url: https://app.dacard.ai description: Production - url: http://localhost:3001 description: Local development security: [] tags: - name: Scoring description: AI maturity scoring engine - name: Lifecycle description: Development Lifecycle assessment - name: Products description: Product management and analytics - name: Dashboard description: Dashboard and suite analytics - name: Account description: Account and team management - name: Billing description: Stripe billing integration - name: User description: User profile, onboarding, and preferences - name: System description: Health checks and diagnostics - name: Internal description: Internal and admin endpoints (PQL tracking, demo data management) - name: Agents description: Agent Studio - autonomous AI agents, triggers, and artifacts - name: Intelligence description: Alerts, coaching context, and score timeline - name: Anomalies description: Signal anomaly detection, acknowledgment, and sensitivity overrides - name: Outcomes description: Longitudinal outcome observations for validation study (E2.2) - name: Settings description: User and account notification preferences - name: Webhooks description: Outbound webhook management - name: API Keys description: API key management (Team and Enterprise plans) paths: /api/products/suite: get: tags: - Dashboard summary: Get suite intelligence description: | Cross-product suite analytics including dimension heatmap, systemic strengths/weaknesses, cluster analysis, and computed insights. **Permission:** `report:suite` (lead+ role) operationId: getSuite responses: '200': description: Suite data content: application/json: schema: $ref: '#/components/schemas/SuiteData' '401': $ref: '#/components/responses/Unauthorized' security: - clerkAuth: [] - bearerAuth: [] components: schemas: SuiteData: type: object properties: products: type: array items: type: object properties: id: type: string format: uuid name: type: string url: type: string format: uri latestScore: type: integer stageName: type: string scoreCount: type: integer rank: type: string nullable: true enum: - top - low - null dimensions: type: array items: $ref: '#/components/schemas/DimensionScore' latestResultId: type: string format: uuid nullable: true delta: type: integer nullable: true systemicStrengths: type: array items: type: string description: Dimension IDs that are consistently strong across products systemicWeaknesses: type: array items: type: string description: Dimension IDs that are consistently weak across products suiteScore: type: number suiteTier: type: string suiteDScoreAvg: type: number nullable: true suiteCoherenceAvg: type: number nullable: true insights: type: array items: type: string description: Computed insights about the suite accountName: type: string nullable: true DimensionScore: type: object required: - dimensionId - dimensionName - score - stageName - evidence - confidence - reasoning properties: dimensionId: type: string description: Dimension identifier enum: - market_intelligence - decision_quality - roadmap_discipline - competitive_positioning - research_discovery - prototyping_speed - experience_design - design_dev_handoff - architecture_systems - spec_context_quality - build_vs_buy - delivery_velocity - customer_signal_synthesis - product_analytics - data_strategy_flywheel - feedback_loop_quality - quality_experimentation - team_orchestration - process_iteration - cost_token_economics - positioning_messaging - launch_execution - adoption_expansion - pricing_packaging dimensionName: type: string description: Human-readable dimension name example: Market Intelligence score: type: integer minimum: 1 maximum: 4 description: Maturity score (1=Foundation, 4=Compounding) stageName: type: string description: Stage name for this score level evidence: type: string description: Verbatim quote or observation from the crawled website confidence: type: string enum: - high - medium - low description: > Confidence in the score based on available evidence. Low confidence dimensions benefit from integration source enrichment. reasoning: type: string description: LLM explanation for the assigned score Error: type: object required: - error properties: error: type: string description: Machine-readable error message code: type: string description: Error code enum: - AUTH_REQUIRED - FORBIDDEN - NOT_FOUND - INVALID_URL - CRAWL_FAILED - SCORE_FAILED - QUOTA_EXCEEDED - ANON_RATE_LIMIT - SIGNAL_RATE_LIMITED - SIGNAL_VALIDATION_FAILED - SERVER_ERROR message: type: string description: Human-readable message details: description: Additional context responses: Unauthorized: description: Authentication required content: application/json: schema: $ref: '#/components/schemas/Error' example: error: Authentication required code: AUTH_REQUIRED securitySchemes: clerkAuth: type: apiKey in: cookie name: __session description: | Clerk session cookie. Authentication is handled by Clerk. Sign in at https://app.dacard.ai/sign-in to obtain a session. bearerAuth: type: http scheme: bearer bearerFormat: JWT description: | Clerk JWT session token. Obtain via Clerk's frontend SDK using `getToken()` or via the Clerk Backend API. ````