Groundtruth API

Groundtruth API as documented publicly: 7 operations. Contract generated from the documentation by API Evangelist (2026-11-10); not the provider's own document.

GitHub OpenAPI

Operations 7

POST /api/provenance/verify Verify any marking with our public key #
GET /api/v1 GET /api/v1 lists them. #
POST /api/v1 REST endpoint list: every MCP tool as POST /api/v1/. #
GET /api/v1/ask Ask a natural-language question about the company. #
POST /api/v1/ask POST /api/v1/ask #
GET /api/v1/query_records Query structured records (e.g. customers, metrics, people, vendors). #
POST /api/v1/query_records POST /api/v1/query_records #

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OpenAPI Specification

groundtruthhq-tech-openapi-generated.yml Raw ↑
openapi: 3.1.0
info:
  title: Groundtruth API
  version: '2026-11-10'
  description: 'GENERATED FROM DOCUMENTATION by API Evangelist on 2026-11-10: 7 operation(s) read from 3 public documentation page(s) (each operation
    names its page in x-source). This is not the provider''s published contract; Groundtruth has published no machine-readable contract that the
    pipeline could find. Engine: local.'
  x-evidence-tiers:
    code-example: 2
    documentation: 5
    pages-with-code: 1
    pages-read: 3
  x-generated-from: documentation
  x-provenance: generated
  x-authored-by: API Evangelist
  x-generated: '2026-11-10'
  x-generator: generate-contract-from-docs.py
  x-engine: local
  x-sources:
  - https://groundtruthhq.tech/docs
  - https://groundtruthhq.tech/ai
  - https://groundtruthhq.tech/llms.txt
paths:
  /api/provenance/verify:
    post:
      operationId: post_api_provenance_verify
      tags:
      - Api
      summary: Verify any marking with our public key
      x-source: https://groundtruthhq.tech/ai
      responses:
        '201':
          description: Success (status as documented)
      x-evidence:
        kind: documentation
  /api/v1:
    get:
      operationId: get_api_v1
      tags:
      - Api
      summary: GET /api/v1 lists them.
      x-source: https://groundtruthhq.tech/docs
      responses:
        '200':
          description: Success (status as documented)
      x-evidence:
        kind: documentation
    post:
      operationId: post_api_v1
      tags:
      - Api
      summary: 'REST endpoint list: every MCP tool as POST /api/v1/<tool>.'
      description: The API provides a generic POST endpoint at /api/v1 for each MCP tool (e.g., /api/v1/<tool>). No further request or response
        details are documented on this page.
      x-source: https://groundtruthhq.tech/llms.txt
      responses:
        '201':
          description: Success (status as documented)
      x-evidence:
        kind: documentation
  /api/v1/ask:
    get:
      operationId: get_api_v1_ask
      tags:
      - Api
      summary: Ask a natural-language question about the company.
      x-source: https://groundtruthhq.tech/docs
      responses:
        '200':
          description: Success (status as documented)
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/GetApiV1AskResponse'
      x-evidence:
        kind: documentation
    post:
      operationId: post_api_v1_ask
      tags:
      - Api
      summary: POST /api/v1/ask
      x-source: https://groundtruthhq.tech/docs
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/PostApiV1AskRequest'
      responses:
        '201':
          description: Success (status as documented)
      x-evidence:
        kind: code-example
        language: curl
        snippet: 'curl -s https://groundtruthhq.tech/api/v1/ask  -H "Authorization: Bearer gt_YOUR_KEY" -H ''content-type: application/json''  -d
          ''{"question":"Who approves refunds over $5,000?"}'''
  /api/v1/query_records:
    get:
      operationId: get_api_v1_query_records
      tags:
      - Api
      summary: Query structured records (e.g. customers, metrics, people, vendors).
      x-source: https://groundtruthhq.tech/docs
      parameters:
      - name: collection
        in: query
        required: false
        schema:
          type: string
        description: Record collection name.
      - name: where
        in: query
        required: false
        schema:
          type: object
        description: Exact match or operators for filtering.
      - name: sort
        in: query
        required: false
        schema:
          type: string
        description: Field name, prefix '-' for descending.
      - name: limit
        in: query
        required: false
        schema:
          type: integer
        description: Maximum number of records to return.
      responses:
        '200':
          description: Success (status as documented)
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/GetApiV1QueryRecordsResponse'
      x-evidence:
        kind: documentation
    post:
      operationId: post_api_v1_query_records
      tags:
      - Api
      summary: POST /api/v1/query_records
      x-source: https://groundtruthhq.tech/docs
      parameters:
      - name: collection
        in: query
        required: false
        schema:
          type: string
      - name: sort
        in: query
        required: false
        schema:
          type: string
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/PostApiV1QueryRecordsRequest'
      responses:
        '201':
          description: Success (status as documented)
      x-evidence:
        kind: code-example
        language: curl
        snippet: 'curl -s "https://groundtruthhq.tech/api/v1/query_records?collection=customers&sort=-mrr" -H "Authorization: Bearer gt_YOUR_KEY"
          Tokens & your AI key Agents use their own model. When an agent calls ask , Groundtruth returns the cited sources (plus a quick extractive
          draft) and makes no model call. Your agent writes the final answer with whatever model it already runs. The web app uses your key. Add'
components:
  schemas:
    GetApiV1AskResponse:
      type: object
      properties:
        sources:
          type: array
          description: Most relevant sources (pages, decisions, records) with citations.
        draft_answer:
          type: string
          description: A quick extractive draft answer.
    PostApiV1AskRequest:
      type: object
      properties:
        question:
          type: string
    GetApiV1QueryRecordsResponse:
      type: object
      properties:
        records:
          type: array
          description: Array of matching records.
    PostApiV1QueryRecordsRequest:
      type: object
      properties:
        customer:
          type: string
        type:
          type: string
        sentiment:
          type: string
        summary:
          type: string
  securitySchemes:
    bearer:
      type: http
      scheme: bearer
security:
- bearer: []
tags:
- name: Api