> ## Documentation Index
> Fetch the complete documentation index at: https://docs.peec.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Get Brand Perception Fact-Checking Verdicts

> Claims AI models make about the project's brand, each judged against one of the project's facts as supported or contradicted. Data is aggregated across all fact-checked chats and has no date range. Newest claims first.



## OpenAPI

````yaml https://api.peec.ai/customer/v1/openapi/json get /brand-perception/fact-checking-verdicts
openapi: 3.0.3
info:
  title: Peec AI Customer API
  description: Development documentation
  version: 1.0.0
  contact:
    name: Peec AI Team
    email: support@peec.ai
servers:
  - url: https://api.peec.ai/customer/v1
security: []
paths:
  /brand-perception/fact-checking-verdicts:
    get:
      tags:
        - Brand Perception
      summary: Get Brand Perception Fact-Checking Verdicts
      description: >-
        Claims AI models make about the project's brand, each judged against one
        of the project's facts as supported or contradicted. Data is aggregated
        across all fact-checked chats and has no date range. Newest claims
        first.
      operationId: getBrand-perceptionFact-checking-verdicts
      parameters:
        - name: project_id
          in: query
          required: false
          schema:
            description: Required if using a company api key
            example: or_f45b94ba-5e35-4982-93ed-285e72ee14eb
            type: string
        - name: fact_ids
          in: query
          required: false
          schema:
            description: >-
              Only include verdicts against these facts. Omit to include every
              active fact.
            type: array
            items:
              type: string
        - name: verdicts
          in: query
          required: false
          schema:
            description: >-
              Only include these verdicts. Omit to include both supported and
              contradicted claims.
            type: array
            items:
              type: string
              enum:
                - contradicted
                - supported
        - name: model_channel_ids
          in: query
          required: false
          schema:
            description: >-
              Only include claims from answers on these AI engine channels. Omit
              to aggregate across all tracked channels.
            type: array
            items:
              type: string
              enum:
                - openai-0
                - openai-1
                - qwen-0
                - openai-2
                - perplexity-0
                - perplexity-1
                - google-0
                - google-1
                - google-2
                - google-3
                - google-4
                - anthropic-0
                - anthropic-1
                - anthropic-2
                - anthropic-3
                - deepseek-0
                - meta-0
                - meta-1
                - xai-0
                - xai-1
                - microsoft-0
                - amazon-0
                - mistral-0
                - mistral-1
                - naver-0
                - openai-3
                - openai-4
                - openai-5
        - name: limit
          in: query
          required: false
          schema:
            default: 1000
            type: integer
            minimum: 1
            maximum: 10000
        - name: offset
          in: query
          required: false
          schema:
            default: 0
            type: integer
            minimum: 0
            maximum: 9007199254740991
      responses:
        '200':
          description: Response for status 200
          content:
            application/json:
              schema:
                type: object
                properties:
                  data:
                    type: array
                    items:
                      type: object
                      properties:
                        claim_id:
                          type: string
                          example: clm_01j8x2k9v4
                        claim:
                          type: string
                          example: Peec AI was founded in 2019.
                          description: The statement an AI answer made about the brand.
                        fact_id:
                          type: string
                          example: fct_01j8x2k9v4
                        fact:
                          type: string
                          example: Peec AI was founded in 2024.
                          description: The fact wording the claim was judged against.
                        verdict:
                          type: string
                          enum:
                            - contradicted
                            - supported
                          example: contradicted
                          description: >-
                            Whether the fact supports or contradicts the claim.
                            Claims no fact covers are not returned.
                        chats:
                          type: number
                          example: 12
                          description: Distinct AI answers that made the claim.
                        model_channel_ids:
                          type: array
                          items:
                            type: string
                            enum:
                              - openai-0
                              - openai-1
                              - qwen-0
                              - openai-2
                              - perplexity-0
                              - perplexity-1
                              - google-0
                              - google-1
                              - google-2
                              - google-3
                              - google-4
                              - anthropic-0
                              - anthropic-1
                              - anthropic-2
                              - anthropic-3
                              - deepseek-0
                              - meta-0
                              - meta-1
                              - xai-0
                              - xai-1
                              - microsoft-0
                              - amazon-0
                              - mistral-0
                              - mistral-1
                              - naver-0
                              - openai-3
                              - openai-4
                              - openai-5
                          description: AI engine channels whose answers made the claim.
                        last_seen:
                          type: string
                          format: date
                          pattern: >-
                            ^(?:(?:\d\d[2468][048]|\d\d[13579][26]|\d\d0[48]|[02468][048]00|[13579][26]00)-02-29|\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\d|30)|(?:02)-(?:0[1-9]|1\d|2[0-8])))$
                          example: '2026-09-18'
                          description: Most recent day an AI answer made the claim.
                      required:
                        - claim_id
                        - claim
                        - fact_id
                        - fact
                        - verdict
                        - chats
                        - model_channel_ids
                        - last_seen
                  total_count:
                    type: number
                required:
                  - data
                  - total_count
      security:
        - APIKeyHeader: []
        - APIKeyQuery: []
        - BearerAuth: []
components:
  securitySchemes:
    APIKeyHeader:
      type: apiKey
      in: header
      name: X-API-Key
    APIKeyQuery:
      type: apiKey
      in: query
      name: api_key
    BearerAuth:
      type: http
      scheme: bearer
      bearerFormat: JWT

````