Clarifeye Imported Object Extractors API

openapi: 3.2.0
info:
  title: Clarifeye Platform API — Full API Documentation Imported…
  description: 'Complete REST API reference for the Clarifeye Platform.


    Documents every endpoint exposed by the platform — the public surface plus

    the advanced surface: pipeline customization (extraction flows, pipeline

    runs, warehouse tables, document tag/metadata configuration), the pre-MCP

    AI surface (agent settings, playground conversations, conversation-scoped

    feedback views, notifications), and the impersonation header. New AI

    integrations should consume knowledge via MCP rather than the

    conversation/agent-settings endpoints documented here.


    ## Authentication

    All endpoints require authentication. Include the Authorization header in every request using either format:

    - `Authorization: Token `

    - `Authorization: Bearer `


    ## Service accounts and API keys

    Integrations authenticate with an **API key** of a **service account**:

    - `Authorization: Bearer ` (keys start with `cfk_`)


    A service account is an ordinary member (role `member`) of one organization that cannot log

    in. Organization admins create it and mint its keys on the organization''s *Service

    accounts* page (`/organizations/{id}/service-accounts/`, `/organization-api-keys/`), and

    give it access to knowledge stores with ordinary store permissions. A key is valid on every

    endpoint and acts as its service account: it reaches exactly the stores, with exactly the

    rights, the account was given. An account can hold several keys (each with its own name,

    optional expiry and revocation), so a key can be rotated without changing identity.


    A refused key answers **403** with one of: `Invalid API key.`, `API key revoked.`,

    `API key expired.`, `API key disabled.` (the service account is disabled).


    Any valid key may also call `POST /organizations/{id}/provision-user/` and

    `POST /organizations/{id}/deprovision-user/` for its own organization (the `{id}` in the

    path must be the key''s organization). The email domains these may pre-create accounts for

    are configured by Clarifeye on the organization (`allowed_provisioning_domains`).


    ## Impersonation


    Certain endpoints support user impersonation for creating or listing data on behalf of other users.

    This is useful for integrating external systems that need to attribute actions to specific users.


    **Header:** `X-Impersonate-Email`


    **Required Permission:** `CAN_IMPERSONATE_OTHER_USERS` (for a person, contact Clarifeye to enable it; org admins grant it to a service account on the organization''s Service accounts page)


    **Behavior:**

    - If the header is provided and the impersonator has the required permission, the action is performed as the target user

    - If the target user is not found, the request proceeds as the original authenticated user

    - If the target user does not have access to the project, the request proceeds as the original authenticated user

    - If the impersonator lacks the `CAN_IMPERSONATE_OTHER_USERS` permission, the header is ignored


    **With an API key** the request fails instead (**403**) whenever impersonation cannot

    happen: missing permission, unknown target, target without access to the store, target that

    is itself a service account, or an endpoint outside a store. A key never silently acts as

    its own service account when impersonation was asked for.'
  version: 1.0.0
  contact:
    name: Clarifeye Support
servers:
- url: https://eu.app.clarifeye.ai/api/v1
  description: EU
- url: https://us.app.clarifeye.ai/api/v1
  description: US
security:
- BearerAuth: []
- TokenAuth: []
tags:
- name: Imported Object Extractors
  description: 'Hold objects imported from an external system (rather than extracted by

    an LLM). Useful for hydrating the warehouse with data produced outside

    the platform.'
paths:
  /projects/{project_id}/imported-object-extractors/:
    get:
      tags:
      - Imported Object Extractors
      summary: List imported object extractors
      operationId: listImportedObjectExtractors
      parameters:
      - $ref: '#/components/parameters/ProjectId'
      - $ref: '#/components/parameters/Limit'
      - $ref: '#/components/parameters/Offset'
      responses:
        '200':
          description: Successful response
          content:
            application/json:
              schema:
                allOf:
                - $ref: '#/components/schemas/PaginatedResponse'
                - type: object
                  properties:
                    results:
                      type: array
                      items:
                        $ref: '#/components/schemas/ImportedObjectExtractor'
        '401':
          $ref: '#/components/responses/Unauthorized'
        '403':
          $ref: '#/components/responses/Forbidden'
        '404':
          $ref: '#/components/responses/NotFound'
    post:
      tags:
      - Imported Object Extractors
      summary: Create imported object extractor
      description: 'Create an `ImportedObjectExtractor` — holds objects imported from an

        external system (rather than extracted by an LLM).'
      operationId: createImportedObjectExtractor
      parameters:
      - $ref: '#/components/parameters/ProjectId'
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/ImportedObjectExtractor'
            example:
              name: CRM contacts
              brief: Contacts imported nightly from Salesforce.
              extractable_pydantic_class: "from pydantic import BaseModel\n\nclass ImportedRecord(BaseModel):\n    external_id: str\n    payload: dict\n"
      responses:
        '201':
          description: Created
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ImportedObjectExtractor'
        '400':
          $ref: '#/components/responses/BadRequest'
        '401':
          $ref: '#/components/responses/Unauthorized'
        '403':
          $ref: '#/components/responses/Forbidden'
  /projects/{project_id}/imported-object-extractors/{extractor_id}/:
    get:
      tags:
      - Imported Object Extractors
      summary: Retrieve imported object extractor
      operationId: getImportedObjectExtractor
      parameters:
      - $ref: '#/components/parameters/ProjectId'
      - $ref: '#/components/parameters/ExtractorId'
      responses:
        '200':
          description: Successful response
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ImportedObjectExtractor'
        '401':
          $ref: '#/components/responses/Unauthorized'
        '403':
          $ref: '#/components/responses/Forbidden'
        '404':
          $ref: '#/components/responses/NotFound'
    patch:
      tags:
      - Imported Object Extractors
      summary: Update imported object extractor (auto-creates new version)
      description: 'Partial update. Version-bearing field: `extractable_pydantic_class`.


        Pass `set_latest_as_default: true` to promote the new version.'
      operationId: updateImportedObjectExtractor
      parameters:
      - $ref: '#/components/parameters/ProjectId'
      - $ref: '#/components/parameters/ExtractorId'
      requestBody:
        required: true
        content:
          application/json:
            schema:
              allOf:
              - $ref: '#/components/schemas/ImportedObjectExtractor'
              - type: object
                properties:
                  set_latest_as_default:
                    type: boolean
                    writeOnly: true
            examples:
              renameOnly:
                summary: Rename — does NOT create a new version
                value:
                  name: CRM contacts (renamed)
              evolveSchema:
                summary: Update Pydantic schema — creates a new version
                value:
                  extractable_pydantic_class: "from pydantic import BaseModel\nfrom typing import Optional\n\nclass ImportedRecord(BaseModel):\n    external_id: str\n    payload: dict\n    last_synced_at: Optional[str] = None\n"
                  set_latest_as_default: true
      responses:
        '200':
          description: Updated
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ImportedObjectExtractor'
        '400':
          $ref: '#/components/responses/BadRequest'
        '401':
          $ref: '#/components/responses/Unauthorized'
        '403':
          $ref: '#/components/responses/Forbidden'
        '404':
          $ref: '#/components/responses/NotFound'
    delete:
      tags:
      - Imported Object Extractors
      summary: Delete imported object extractor
      description: 'Delete the `ImportedObjectExtractor`. The related

        `imported_objects_table` is cleaned up on cascade.'
      operationId: deleteImportedObjectExtractor
      parameters:
      - $ref: '#/components/parameters/ProjectId'
      - $ref: '#/components/parameters/ExtractorId'
      responses:
        '204':
          description: Deleted
        '401':
          $ref: '#/components/responses/Unauthorized'
        '403':
          $ref: '#/components/responses/Forbidden'
        '404':
          $ref: '#/components/responses/NotFound'
components:
  parameters:
    ProjectId:
      name: project_id
      in: path
      required: true
      description: UUID of the project
      schema:
        type: string
        format: uuid
    Offset:
      name: offset
      in: query
      description: Number of results to skip for pagination
      schema:
        type: integer
        default: 0
        minimum: 0
    Limit:
      name: limit
      in: query
      description: Maximum number of results per page
      schema:
        type: integer
        default: 100
        minimum: 1
        maximum: 1000
    ExtractorId:
      name: extractor_id
      in: path
      required: true
      description: UUID of the extractor
      schema:
        type: string
        format: uuid
  schemas:
    ImportedObjectExtractor:
      type: object
      description: 'Holds objects imported from an external system (rather than extracted

        by an LLM). Useful for hydrating the warehouse with data produced

        outside the platform.

        '
      properties:
        id:
          type: string
          format: uuid
          readOnly: true
        name:
          type: string
          example: CRM contacts
        brief:
          type: string
          example: Contacts imported nightly from Salesforce.
        extractable_pydantic_class:
          type: string
          example: "from pydantic import BaseModel\n\nclass ImportedRecord(BaseModel):\n    external_id: str\n    payload: dict\n"
        import_mode:
          type: boolean
          writeOnly: true
          default: false
        created_at:
          type: string
          format: date-time
          readOnly: true
        updated_at:
          type: string
          format: date-time
          readOnly: true
        imported_objects_table:
          type:
          - string
          - 'null'
          format: uuid
          readOnly: true
        versions:
          type: array
          readOnly: true
          items:
            $ref: '#/components/schemas/ImportedObjectExtractorVersion'
        default_version:
          allOf:
          - $ref: '#/components/schemas/ImportedObjectExtractorVersion'
          readOnly: true
        latest_version:
          allOf:
          - $ref: '#/components/schemas/ImportedObjectExtractorVersion'
          readOnly: true
    ImportedObjectExtractorVersion:
      type: object
      description: Immutable snapshot of an `ImportedObjectExtractor`'s version-bearing configuration.
      properties:
        id:
          type: string
          format: uuid
          readOnly: true
        name:
          type: string
          readOnly: true
        created_at:
          type: string
          format: date-time
          readOnly: true
        updated_at:
          type: string
          format: date-time
          readOnly: true
        is_default:
          type: boolean
          readOnly: true
        extractable_pydantic_class:
          type: string
          example: "from pydantic import BaseModel\n\nclass ImportedRecord(BaseModel):\n    external_id: str\n    payload: dict\n"
        last_import_status:
          type:
          - string
          - 'null'
          readOnly: true
    PaginatedResponse:
      type: object
      properties:
        count:
          type: integer
          description: Total number of results
        next:
          type:
          - string
          - 'null'
          format: uri
          description: URL to next page of results
        previous:
          type:
          - string
          - 'null'
          format: uri
          description: URL to previous page of results
        results:
          type: array
          items: {}
    Error:
      type: object
      properties:
        error:
          type: string
          description: Error message
      example:
        error: User not found
    ValidationError:
      type: object
      additionalProperties:
        type: array
        items:
          type: string
      example:
        email:
        - This field is required.
  responses:
    NotFound:
      description: Not found - resource does not exist
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/Error'
          example:
            error: Not found.
    Unauthorized:
      description: Unauthorized - missing or invalid authentication
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/Error'
          example:
            error: Authentication credentials were not provided.
    Forbidden:
      description: Forbidden - insufficient permissions
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/Error'
          example:
            error: You do not have permission to perform this action.
    BadRequest:
      description: Bad request - invalid parameters or request body
      content:
        application/json:
          schema:
            oneOf:
            - $ref: '#/components/schemas/Error'
            - $ref: '#/components/schemas/ValidationError'
  securitySchemes:
    BearerAuth:
      type: http
      scheme: bearer
      description: 'Use `Authorization: Bearer <token>`. The token is either a user token / OAuth access

        token, or a service-account API key (`cfk_...`). A key is valid on every endpoint and

        acts as its service account, an organization member with per-store permissions.

        Refused keys answer 403 with `Invalid API key.`, `API key revoked.`,

        `API key expired.` or `API key disabled.`.

        '
    TokenAuth:
      type: apiKey
      in: header
      name: Authorization
      description: 'Use Authorization: Token <token>'
x-tagGroups:
- name: Extractors
  tags:
  - Object Extractors
  - Tag Extractors
  - Chunks Extractors
  - Parsing Extractors
  - Document Filter Extractors
  - Chunk Tag Filter Extractors
  - Document Tag Extractors
  - Tag Alerts Extractors
  - Object Alerts Extractors
  - Imported Object Extractors
x-provenance:
  method: harvested
  publisher: Clarifeye
  source: https://docs.clarifeye.ai/api-reference/openapi-full.yaml
  note: split by refine-openapis from the provider's own published document, verified by fetch (openapi/_original/*.fetch.json);
    stamped by stamp-openapi-provenance.py (roadmap#793)