> ## 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. # Comprehensive Domain Influence Breakdown > Provides complete influence analysis for each domain including platform type, top URLs, and influence scores broken down by AI model. This endpoint goes beyond simple scores to show which specific pages drive influence, how scores vary across ChatGPT vs Gemini, and what content types perform best per domain. See that Reddit's influence comes from r/running and r/sneakers, with ChatGPT scoring it 0.90 but Gemini 0.75. Perfect for deep-dive source analysis and content strategy planning. **When to use:** User wants detailed domain breakdown, needs to see top URLs per domain, analyzes model-specific influence, identifies high-performing content, or plans detailed content strategy. **Common user queries:** - "Show me detailed breakdown for each source" - "What are the top URLs on Reddit?" - "How does influence vary by AI model?" - "Get complete domain analysis" - "Which specific pages drive influence?" - "Display detailed source metrics" **Returns:** Array of domains with type, top URLs, and influence scores by AI source. Example: [{"domain": "reddit.com", "domain_type": "social", "top_urls": ["r/running/post1", "r/sneakers/post2"], "scores_by_source": [{"source": "chatgpt-4", "score": 0.90}]}] Required permission: `read:analysis`. ## OpenAPI ````yaml https://openapi.shareofmodel.ai/swagger.json get /v1/organizations/{organization_id}/workspaces/{workspace_id}/analyses/{analysis_id}/metrics/sources/detailed_influence_score_by_domain 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}/metrics/sources/detailed_influence_score_by_domain: get: tags: - Metrics summary: Comprehensive Domain Influence Breakdown description: >- Provides complete influence analysis for each domain including platform type, top URLs, and influence scores broken down by AI model. This endpoint goes beyond simple scores to show which specific pages drive influence, how scores vary across ChatGPT vs Gemini, and what content types perform best per domain. See that Reddit's influence comes from r/running and r/sneakers, with ChatGPT scoring it 0.90 but Gemini 0.75. Perfect for deep-dive source analysis and content strategy planning. **When to use:** User wants detailed domain breakdown, needs to see top URLs per domain, analyzes model-specific influence, identifies high-performing content, or plans detailed content strategy. **Common user queries:** - "Show me detailed breakdown for each source" - "What are the top URLs on Reddit?" - "How does influence vary by AI model?" - "Get complete domain analysis" - "Which specific pages drive influence?" - "Display detailed source metrics" **Returns:** Array of domains with type, top URLs, and influence scores by AI source. Example: [{"domain": "reddit.com", "domain_type": "social", "top_urls": ["r/running/post1", "r/sneakers/post2"], "scores_by_source": [{"source": "chatgpt-4", "score": 0.90}]}] Required permission: `read:analysis`. operationId: sources_detailed_influence_score_by_domain parameters: - in: path name: analysis_id schema: type: string format: uuid description: A UUID string identifying the analysis. required: true - in: query name: attribute schema: type: string description: Filter by one specific attribute. - in: query name: attribute__in schema: type: string description: >- Filter by a list of attributes. 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: query name: domain schema: type: string description: Filter by one specific domain. - in: query name: domain__in schema: type: string description: >- Filter by a list of domains. Values should be comma separated, without brackets or spaces - in: query name: format schema: type: string enum: - csv - json - in: query name: intention schema: type: string description: Filter by one specific intention. - in: query name: intention__in schema: type: string description: Filter by a list of intentions. Values should be comma separated - in: path name: organization_id schema: type: string format: uuid description: A UUID string identifying the organization. required: true - 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: query name: type schema: type: string enum: - Branded Website - Community Help Center - Comparison Site - Government/Academic - Influencer/Creator Blog - News Media - Product Review Site - Q&A/Forum - Retail/E-Commerce - Specialist Blog - Wiki/Encyclopedia description: Filter by one specific type of source. - in: query name: type__in schema: type: string enum: - Branded Website - Community Help Center - Comparison Site - Government/Academic - Influencer/Creator Blog - News Media - Product Review Site - Q&A/Forum - Retail/E-Commerce - Specialist Blog - Wiki/Encyclopedia description: >- Filter by a list of types 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/SourcesDetailedInfluenceScore' text/csv: schema: type: array items: $ref: '#/components/schemas/SourcesDetailedInfluenceScore' description: '' security: - Bearer: [] components: schemas: SourcesDetailedInfluenceScore: type: object description: Base class with necessary methods overridden properties: domain: type: string type: type: string top_urls: type: array items: type: string influence_score: type: string format: decimal pattern: ^-?\d{0,3}(?:\.\d{0,2})?$ influence_score_by_source: type: array items: $ref: '#/components/schemas/SourcesInfluenceScoreBySource' required: - domain - influence_score - influence_score_by_source - top_urls - type SourcesInfluenceScoreBySource: type: object description: Base class with necessary methods overridden properties: source: type: string influence_score: type: string format: decimal pattern: ^-?\d{0,3}(?:\.\d{0,2})?$ required: - influence_score - source securitySchemes: Bearer: type: apiKey in: header name: Authorization ````