> ## 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. # AI-Generated Strategic Insights > Returns AI-generated strategic insights and recommendations based on analysis da ta, providing narrative summaries with supporting data. This endpoint delivers high-level insights automatically generated from the metrics, such as "Reebok is perceived as more sporty than competitors but less comfortable." Each insight includes a title, narrative description, supporting raw data, and suggested chart type for visualization. Perfect for executive summaries, automated reporting, and data storytelling. **When to use:** User wants strategic summaries, needs narrative insights, requires executive-friendly explanations, generates automated reports, or wants AI-interpreted findings rather than raw metrics. **Common user queries:** - "Give me insights for this analysis" - "What are the key findings?" - "Show strategic recommendations" - "Summarize the analysis" - "What should I know about brand perception?" - "Generate insights report" **Returns:** Array of insight objects with titles, descriptions, supporting data, and chart recommendations. Example: [{{"insight_title": "Brand Positioning Gap", "insight_description": "Nike leads in style but trails in comfort...", "raw_data": {{}}, "chart_type": "stacked_bar"}}] ## OpenAPI ````yaml https://openapi.shareofmodel.ai/swagger.json get /v1/organizations/{organization_id}/workspaces/{workspace_id}/analyses/{analysis_id}/insights 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}/analyses/{analysis_id}/insights: get: tags: - Insights summary: AI-Generated Strategic Insights description: >- Returns AI-generated strategic insights and recommendations based on analysis da ta, providing narrative summaries with supporting data. This endpoint delivers high-level insights automatically generated from the metrics, such as "Reebok is perceived as more sporty than competitors but less comfortable." Each insight includes a title, narrative description, supporting raw data, and suggested chart type for visualization. Perfect for executive summaries, automated reporting, and data storytelling. **When to use:** User wants strategic summaries, needs narrative insights, requires executive-friendly explanations, generates automated reports, or wants AI-interpreted findings rather than raw metrics. **Common user queries:** - "Give me insights for this analysis" - "What are the key findings?" - "Show strategic recommendations" - "Summarize the analysis" - "What should I know about brand perception?" - "Generate insights report" **Returns:** Array of insight objects with titles, descriptions, supporting data, and chart recommendations. Example: [{{"insight_title": "Brand Positioning Gap", "insight_description": "Nike leads in style but trails in comfort...", "raw_data": {{}}, "chart_type": "stacked_bar"}}] operationId: get_analysis_insights parameters: - in: path name: analysis_id schema: type: string format: uuid description: A UUID string identifying the analysis. required: true - in: query name: brand schema: type: string description: Filter by one specific brand. - in: query name: brand__in schema: type: string description: >- Filter by a list of brands. Values should be comma separated, without brackets or spaces - in: query name: collection_date schema: type: string format: date description: >- Filter by a collection date being equal to the specified date. YYYY-MM-DD format - in: query name: collection_date__gt schema: type: string format: date description: >- Filter by a collection date being greater than the specified date. YYYY-MM-DD format - in: query name: collection_date__gte schema: type: string format: date description: >- Filter by a collection date being greater than or equal the specified date. YYYY-MM-DD format - in: query name: collection_date__lt schema: type: string format: date description: >- Filter by a collection date being less than the specified date. YYYY-MM-DD format - in: query name: collection_date__lte schema: type: string format: date description: >- Filter by a collection date being less than or equal the specified date. YYYY-MM-DD format - in: query name: country schema: type: string description: Filter by one specific country. - in: query name: country__in schema: type: string description: >- Filter by a list of countries. Values should be comma separated, without brackets or spaces - in: path name: organization_id schema: type: string format: uuid description: A UUID string identifying the organization. required: true - in: query name: persona schema: type: string description: Filter by one specific persona. - in: query name: persona__in schema: type: string description: >- Filter by a list of personas. Values should be comma separated, without brackets or spaces - in: query name: source schema: type: string enum: - claude-3-5-sonnet - claude-4-5-sonnet - claude-4-6-sonnet - claude-4-sonnet - deepseek-chat - deepseek-reasoner - deepseek-v3.2-maas - gemini-1.5-pro - gemini-2.0-flash - gemini-2.5-flash - gemini-2.5-flash-grounded - gemini-2.5-flash-lite - gemini-3-flash-preview - google-ai-mode - gpt-3.5-turbo - gpt-4-turbo - gpt-4o - gpt-4o-mini-search - gpt-5 - gpt-5.2 - gpt-5.4-mini - meta-llama-3.1-70B-instruct-turbo - meta-llama-3.2-70B-instruct-turbo - meta-llama-3.3-70B-instruct-turbo - meta-llama-4-maverick - mistral-7B-instruct - perplexity-sonar - rufus description: Filter by one specific source. - in: query name: source__in schema: type: string enum: - claude-3-5-sonnet - claude-4-5-sonnet - claude-4-6-sonnet - claude-4-sonnet - deepseek-chat - deepseek-reasoner - deepseek-v3.2-maas - gemini-1.5-pro - gemini-2.0-flash - gemini-2.5-flash - gemini-2.5-flash-grounded - gemini-2.5-flash-lite - gemini-3-flash-preview - google-ai-mode - gpt-3.5-turbo - gpt-4-turbo - gpt-4o - gpt-4o-mini-search - gpt-5 - gpt-5.2 - gpt-5.4-mini - meta-llama-3.1-70B-instruct-turbo - meta-llama-3.2-70B-instruct-turbo - meta-llama-3.3-70B-instruct-turbo - meta-llama-4-maverick - mistral-7B-instruct - perplexity-sonar - rufus description: >- Filter by a list of sources. Values should be comma separated, without brackets or spaces - 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/AnalysisInsights' examples: ExampleInsights: value: - insight_title: Perceived Brand Image of Reebok insight_description: >- Based on the analysis, Reebok is perceived as more sporty than Nike, Adidas and Puma. It is also perceived as less comfortable than Nike and Puma. Working on the brand's image for style and comfort might be beneficial. raw_data: Nike: Comfortable: '0.3000' Sporty: '0.2500' Style: '0.4500' Adidas: Comfortable: '0.2000' Sporty: '0.1550' Style: '0.6450' Puma: Comfortable: '0.4000' Sporty: '0.4545' Style: '0.1455' Reebok: Comfortable: '0.1500' Sporty: '0.6000' Style: '0.2500' chart_type: stacked_bar summary: Example Insights description: '' security: - Bearer: [] components: schemas: AnalysisInsights: type: object description: Base class with necessary methods overridden properties: insight_title: type: string insight_description: type: string raw_data: {} chart_type: type: string required: - chart_type - insight_description - insight_title - raw_data securitySchemes: Bearer: type: apiKey in: header name: Authorization ````