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

# List evaluations for a run

> Retrieve all evaluations for a specific run

Returns a summary list of evaluations. Use [Get evaluation](/api-reference/evaluations/get) to retrieve full details including distribution analysis and sample classifications.


## OpenAPI

````yaml GET /api/dataframer/runs/{run_id}/evaluations/
openapi: 3.0.0
info:
  title: DataFramer API
  version: 0.1.0
  description: ''
  termsOfService: https://www.aimon.ai/docs/privacy-policy.pdf
  contact:
    name: DataFramer Support
    email: info@dataframer.ai
  license:
    name: Proprietary
  x-logo:
    url: https://dataframer.ai/logo.png
    altText: DataFramer AI
  x-stainless:
    package-name: aimon-dataframer
    namespace:
      - aimon
      - dataframer
servers:
  - url: https://df-api.dataframer.ai
    description: Production server
security:
  - BearerAuth: []
tags:
  - name: Seed Datasets
    description: Manage seed datasets for generation
  - name: Specs
    description: Data specifications for sample generation
  - name: Runs
    description: Generation runs and results
  - name: Evaluations
    description: Evaluate generated sample quality
  - name: Red Teaming
    description: Security testing and adversarial prompts
  - name: Spec Creation
    description: Create specs from datasets or from scratch (seedless)
  - name: Generation
    description: Synthetic data generation
  - name: API Keys
    description: API key management and rotation
  - name: Health
    description: Health check endpoints
  - name: Models
    description: Available AI models
externalDocs:
  description: Complete API Guide
  url: https://docs.dataframer.ai/dataframer
paths:
  /api/dataframer/runs/{run_id}/evaluations/:
    parameters:
      - name: run_id
        in: path
        required: true
        description: Unique identifier of the run to evaluate
        schema:
          type: string
          format: uuid
    get:
      tags:
        - Evaluations
      summary: List evaluations for a run
      description: >-
        List all evaluations for a specific run. Returns summaries - use Get
        evaluation endpoint for full details including distribution analysis and
        sample classifications.
      operationId: api_dataframer_runs_evaluations_list
      responses:
        '200':
          description: List of evaluations for the run
          content:
            application/json:
              schema:
                type: array
                items:
                  $ref: '#/components/schemas/EvaluationListItem'
              examples:
                evaluations_list:
                  value:
                    - id: f4e64db3-3cac-4706-9fd0-c6695ae4694a
                      run_id: a98715da-921d-4326-bbf8-208f8bcc2956
                      status: SUCCEEDED
                      conformance_score: 85.5
                      started_at: '2025-01-15T10:30:00Z'
                      completed_at: '2025-01-15T10:31:00Z'
                      created_by_email: user@example.com
                      created_at: '2025-01-15T10:30:00Z'
                    - id: 024319ff-7534-4f26-ba80-e540af493863
                      run_id: a98715da-921d-4326-bbf8-208f8bcc2956
                      status: PENDING
                      conformance_score: null
                      started_at: null
                      completed_at: null
                      created_by_email: user@example.com
                      created_at: '2025-01-15T11:00:00Z'
        '401':
          description: Unauthorized
        '404':
          description: Run not found
      x-codeSamples:
        - lang: JavaScript
          source: |-
            import Dataframer from 'dataframer';

            const client = new Dataframer({
              apiKey: process.env['DATAFRAMER_API_KEY'], // This is the default and can be omitted
            });

            const evaluations = await client.dataframer.runs.evaluations.list(
              '182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
            );

            console.log(evaluations);
        - lang: Python
          source: |-
            import os
            from dataframer import Dataframer

            client = Dataframer(
                api_key=os.environ.get("DATAFRAMER_API_KEY"),  # This is the default and can be omitted
            )
            evaluations = client.dataframer.runs.evaluations.list(
                "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
            )
            print(evaluations)
components:
  schemas:
    EvaluationListItem:
      type: object
      description: Evaluation summary for list views
      properties:
        id:
          type: string
          format: uuid
          readOnly: true
          description: Unique identifier for the evaluation
        run_id:
          type: string
          format: uuid
          readOnly: true
          description: ID of the run being evaluated
        status:
          type: string
          enum:
            - PENDING
            - PROCESSING
            - SUCCEEDED
            - FAILED
          description: Current status of the evaluation
        conformance_score:
          type: number
          nullable: true
          description: Overall conformance score (0-100). Null until evaluation completes.
        started_at:
          type: string
          format: date-time
          nullable: true
          readOnly: true
          description: When evaluation processing started
        completed_at:
          type: string
          format: date-time
          nullable: true
          readOnly: true
          description: When evaluation completed
        created_by_email:
          type: string
          readOnly: true
          description: Email of the user who created the evaluation
        created_at:
          type: string
          format: date-time
          readOnly: true
          description: When the evaluation was created
        status_display:
          type: string
          readOnly: true
          description: Human-readable status display
  securitySchemes:
    BearerAuth:
      type: http
      scheme: bearer
      bearerFormat: API Key
      description: 'API Key authentication. Format: "Bearer YOUR_API_KEY"'

````