> ## 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. # Brand Perception Raw Pros And Cons > Retrieves the list of all brand pros and cons. Required permission: `read:analysis`. ## OpenAPI ````yaml https://openapi.shareofmodel.ai/swagger.json get /v1/organizations/{organization_id}/workspaces/{workspace_id}/analyses/{analysis_id}/metrics/brand_perception/raw_pros_and_cons 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/brand_perception/raw_pros_and_cons: get: tags: - Metrics summary: Brand Perception Raw Pros And Cons description: >- Retrieves the list of all brand pros and cons. Required permission: `read:analysis`. operationId: brand_pros_and_cons 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: is_pro schema: type: boolean description: A boolean to filter on pro or con. - 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/BrandProsAndCons' description: '' security: - Bearer: [] components: schemas: BrandProsAndCons: type: object properties: id: type: integer readOnly: true workspace_id: type: string format: uuid analysis_id: type: string format: uuid response_id: type: string format: uuid source: enum: - gpt-3.5-turbo - gpt-4-turbo - gpt-4o - gpt-4o-mini-search - gpt-5 - gpt-5.2 - gpt-5.4-mini - gemini-1.5-pro - gemini-2.0-flash - gemini-2.5-flash-grounded - gemini-2.5-flash - gemini-2.5-flash-lite - gemini-3-flash-preview - 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 - claude-3-5-sonnet - claude-4-sonnet - claude-4-5-sonnet - claude-4-6-sonnet - deepseek-chat - deepseek-reasoner - deepseek-v3.2-maas - perplexity-sonar - rufus - google-ai-mode type: string description: >- * `gpt-3.5-turbo` - gpt 3.5 turbo * `gpt-4-turbo` - gpt 4 turbo * `gpt-4o` - gpt 4o * `gpt-4o-mini-search` - gpt 4o mini search * `gpt-5` - gpt 5 * `gpt-5.2` - gpt 5.2 * `gpt-5.4-mini` - gpt 5.4 mini * `gemini-1.5-pro` - gemini 1.5 pro * `gemini-2.0-flash` - gemini 2.0 flash * `gemini-2.5-flash-grounded` - gemini 2.5 flash grounded * `gemini-2.5-flash` - gemini 2.5 flash * `gemini-2.5-flash-lite` - gemini 2.5 flash lite * `gemini-3-flash-preview` - gemini 3 flash preview * `meta-llama-3.1-70B-instruct-turbo` - meta llama 3.1 70B instruct turbo * `meta-llama-3.2-70B-instruct-turbo` - meta llama 3.2 70B instruct turbo * `meta-llama-3.3-70B-instruct-turbo` - meta llama 3.3 70B instruct turbo * `meta-llama-4-maverick` - meta llama 4 maverick * `mistral-7B-instruct` - mistral 7B instruct * `claude-3-5-sonnet` - claude 3 5 sonnet * `claude-4-sonnet` - claude 4 sonnet * `claude-4-5-sonnet` - claude 4 5 sonnet * `claude-4-6-sonnet` - claude 4 6 sonnet * `deepseek-chat` - deepseek chat * `deepseek-reasoner` - deepseek reasoner * `deepseek-v3.2-maas` - deepseek v3.2 maas * `perplexity-sonar` - perplexity sonar * `rufus` - rufus * `google-ai-mode` - google ai mode x-spec-enum-id: 31229724ccbe9afa brand: type: string competitor: type: string attribute: type: string is_pro: type: boolean country: type: string nullable: true persona: type: string nullable: true collection_date: type: string format: date required: - analysis_id - attribute - brand - collection_date - competitor - id - is_pro - response_id - source - workspace_id securitySchemes: Bearer: type: apiKey in: header name: Authorization ````