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

# Get Scoring Job

> Get a scoring job by ID. Returns 403 if the job does not belong to the caller's customer.



## OpenAPI

````yaml https://spec.speakeasy.com/meibel/console/meibel-gateway-service-with-code-samples get /confidence-scoring/job/{job_id}
openapi: 3.1.0
info:
  title: Meibel AI API
  summary: Meibel Gateway Service
  description: >-
    Our API allows you to interact with our services.  Read
    the[docs](https://docs.mistral.ai) to learn how to use it.
  version: 0.6.1
servers:
  - url: https://api.meibel.ai/v1
    description: Meibel API
  - url: https://api.dev.meibel.ai/v1
    description: Meibel API
  - url: http://localhost:8000
    description: Local Development Server
security: []
tags:
  - name: datasources
    description: Operations with datasources
  - name: datasources.dataelements
    description: Operations with data elements
  - name: datasources.tag
    description: Operations with tag
  - name: datasources.rag
    description: Operations with rag
  - name: datasources.content
    description: Operations with content upload and management
  - name: datasources.metadata_model_catalog
    description: Operations with metadata model catalog
  - name: blueprints
    description: Operations with blueprints
  - name: blueprints.instances
    description: Operations with blueprint_instances
  - name: blueprints.executions
    description: work with executions of blueprints
  - name: confidence_scoring
    description: Operations with confidence scoring jobs and summaries
paths:
  /confidence-scoring/job/{job_id}:
    get:
      tags:
        - confidence_scoring
      summary: Get Scoring Job
      description: >-
        Get a scoring job by ID. Returns 403 if the job does not belong to the
        caller's customer.
      operationId: getScoringJob
      parameters:
        - name: job_id
          in: path
          required: true
          schema:
            type: string
            title: Job Id
      responses:
        '200':
          description: Successful Response
          content:
            application/json:
              schema: {}
        '422':
          description: Validation Error
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/HTTPValidationError'
      security:
        - APIKeyHeader: []
      x-codeSamples:
        - lang: python
          label: Python (SDK)
          source: |-
            from meibelai import Meibelai
            import os


            with Meibelai(
                api_key_header=os.getenv("MEIBELAI_API_KEY_HEADER", ""),
            ) as m_client:

                res = m_client.confidence_scoring.get_scoring_job(job_id="<id>")

                # Handle response
                print(res)
components:
  schemas:
    HTTPValidationError:
      properties:
        detail:
          items:
            $ref: '#/components/schemas/ValidationError'
          type: array
          title: Detail
      type: object
      title: HTTPValidationError
    ValidationError:
      properties:
        loc:
          items:
            anyOf:
              - type: string
              - type: integer
          type: array
          title: Location
        msg:
          type: string
          title: Message
        type:
          type: string
          title: Error Type
      type: object
      required:
        - loc
        - msg
        - type
      title: ValidationError
  securitySchemes:
    APIKeyHeader:
      type: apiKey
      in: header
      name: Meibel-API-Key

````