> ## Documentation Index > Fetch the complete documentation index at: https://docs.shareofmodel.ai/llms.txt > Use this file to discover all available pages before exploring further. # Detailed Asset Performance Metrics > Returns comprehensive performance scores for a specific asset evaluation, showin g how the asset performed across multiple dimensions and criteria. This endpoint retrieves detailed scoring data for an evaluated asset (ad creative, landing page, product image, etc.), including metrics like relevance, engagement potential, brand alignment, and clarity. Each evaluation assesses assets against specific criteria, returning numerical scores and qualitative feedback. Essential for understanding asset strengths, weaknesses, and optimization opportunities. **When to use:** User wants detailed results for a specific asset evaluation, needs performance breakdown by criteria, analyzes individual asset quality, or retrieves complete evaluation data. **Common user queries:** - "Show me scores for this asset evaluation" - "Get detailed results for evaluation ID X" - "What are the performance metrics for this asset?" - "Retrieve complete evaluation data" - "How did this asset score?" - "Display asset quality breakdown" **Returns:** Object with asset scores across multiple evaluation criteria. Example: {{"evaluation_id": "eval-123", "scores": [{{"criterion": "relevance", "score": 8.5}}, {{"criterion": "engagement", "score": 7.2}}]}} ## OpenAPI ````yaml https://openapi.shareofmodel.ai/swagger.json get /v1/organizations/{organization_id}/workspaces/{workspace_id}/asset_evaluations/{evaluation_id}/scores openapi: 3.0.3 info: title: Share Of Model API version: v1 description: >- ## Model Context Protocol (MCP) In addition to this REST API, Share of Model exposes a **Model Context Protocol** server that lets AI assistants (Claude Desktop, Claude Code, MCP Inspector, custom agents…) call our endpoints directly as tools. Any MCP-compatible client can interact with Share of Model without writing custom integration code — connect once with your usual login and start asking the assistant to query the data for you. ### Connecting from Claude Desktop Open **Settings → Connectors**, scroll to the bottom and click **Add custom connector**, then paste `https://mcp.shareofmodel.ai/mcp/`. A browser window opens for you to log in with your Share of Model account (same login as the web app), and the assistant gains access to the tools. ### Connecting from Claude Code ```bash claude mcp add --transport http share-of-model https://mcp.shareofmodel.ai/mcp/ ``` The first time you call a tool, Claude Code opens your browser to complete the login. ### Connecting from MCP Inspector ```bash npx @modelcontextprotocol/inspector ``` In the Inspector UI, pick **Streamable HTTP** as transport, paste `https://mcp.shareofmodel.ai/mcp/`, and click **Connect**. The first connection prompts you to log in. ### Available tools Only endpoints tagged `mcp` in this OpenAPI spec are exposed as MCP tools, and only read-only (`GET`) routes are exposed. Everything tagged `mcp` below is callable from any compliant MCP client. ### Example prompts Once connected, try asking your assistant things like: - _"List the workspaces I have access to."_ - _"Show me the latest searches in workspace X."_ - _"Compare the share of model between brand A and brand B over the last 30 days."_ For more details on the protocol itself, see the [Model Context Protocol specification](https://modelcontextprotocol.io/). servers: - description: Production API url: https://api.shareofmodel.ai/ - description: Development API url: https://api.dev.shareofmodel.ai/ security: [] tags: - name: Auth description: Endpoints needed for API authentication. - name: Organizations description: Endpoints related to organizations, to list all available organizations. - name: Workspaces description: Endpoints related to workspaces, to list all available workspaces. - name: Analyses description: Endpoints related to analyses and analyses management. - name: Asset Evaluations description: Endpoints related to assets and asset evaluations. - name: Brand Catalog description: Endpoints related to general brand information. - name: Content Briefs description: Endpoints related to content briefs generation and optimisation. - name: Metrics description: >+ Endpoints related to brand metrics. **LEXICON** **Brand Awareness**: What opinion the LLMs have concerning specific brands, related to certain categories. **Brand Perception**: The general sentiment of the LLMs towards a brand, based on the pros and cons they mention. paths: /v1/organizations/{organization_id}/workspaces/{workspace_id}/asset_evaluations/{evaluation_id}/scores: get: tags: - Metrics summary: Detailed Asset Performance Metrics description: >- Returns comprehensive performance scores for a specific asset evaluation, showin g how the asset performed across multiple dimensions and criteria. This endpoint retrieves detailed scoring data for an evaluated asset (ad creative, landing page, product image, etc.), including metrics like relevance, engagement potential, brand alignment, and clarity. Each evaluation assesses assets against specific criteria, returning numerical scores and qualitative feedback. Essential for understanding asset strengths, weaknesses, and optimization opportunities. **When to use:** User wants detailed results for a specific asset evaluation, needs performance breakdown by criteria, analyzes individual asset quality, or retrieves complete evaluation data. **Common user queries:** - "Show me scores for this asset evaluation" - "Get detailed results for evaluation ID X" - "What are the performance metrics for this asset?" - "Retrieve complete evaluation data" - "How did this asset score?" - "Display asset quality breakdown" **Returns:** Object with asset scores across multiple evaluation criteria. Example: {{"evaluation_id": "eval-123", "scores": [{{"criterion": "relevance", "score": 8.5}}, {{"criterion": "engagement", "score": 7.2}}]}} operationId: retrieve_asset_scores parameters: - in: path name: evaluation_id schema: type: string format: uuid description: A UUID string identifying the asset evaluation. required: true - in: path name: organization_id schema: type: string format: uuid description: A UUID string identifying the organization. required: true - in: path name: workspace_id schema: type: string format: uuid description: A UUID string identifying the workspace. required: true responses: '200': content: application/json: schema: type: array items: $ref: '#/components/schemas/AssetEvaluationScoresResults' description: '' security: - Bearer: [] components: schemas: AssetEvaluationScoresResults: properties: evaluation_id: title: Evaluation Id type: string source: title: Source type: string sources: items: type: string title: Sources type: array assets: items: $ref: '#/components/schemas/AssetResults' title: Assets type: array required: - evaluation_id - source - sources - assets title: AssetEvaluationScoresResults type: object AssetResults: properties: asset_id: title: Asset Id type: string content_type: title: Content Type type: string overall_summary: title: Overall Summary type: string source: title: Source type: string attributes: items: $ref: '#/components/schemas/AttributeResult' title: Attributes type: array required: - asset_id - content_type - overall_summary - source - attributes title: AssetResults type: object AttributeResult: properties: name: title: Name type: string score: title: Score nullable: true type: number explanation: title: Explanation type: string required: - name - score - explanation title: AttributeResult type: object securitySchemes: Bearer: type: apiKey in: header name: Authorization ````