Morning Consult · Arazzo Workflow

Morning Consult — compute a score

Version 1.0.0

Authenticate, discover an available score and the data sources it is available in, bind it to a brand entity, and request the score timeseries.

1 workflow 1 source API 1 provider
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Provider

morning-consult

Workflows

compute-score
Compute a named Morning Consult score for a brand over time.
5 steps inputs: brand, country_code, interval, max_date, min_date, password, username outputs: score_series
1
authenticate
postAuthToken
2
list-scores
getScores
Discover the scores available to the subscription.
3
score-data-sources
getScoreDataSources
Confirm which data sources the score can be computed in.
4
find-entity
getEntities
Resolve the brand entity the score will be run against.
5
post-scores
postScores
Request the score timeseries.

Source API Descriptions

openapi
morningConsult https://raw.githubusercontent.com/api-evangelist/morning-consult/refs/heads/main/openapi/morning-consult-openapi-original.yml

Arazzo Workflow Specification

Raw ↑ 
arazzo: 1.0.1
info:
  title: Morning Consult — compute a score
  version: 1.0.0
  description: >-
    Authenticate, discover an available score and the data sources it is available in,
    bind it to a brand entity, and request the score timeseries.
sourceDescriptions:
- name: morningConsult
  url: ../openapi/morning-consult-openapi-original.yml
  type: openapi
workflows:
- workflowId: compute-score
  summary: Compute a named Morning Consult score for a brand over time.
  inputs:
    type: object
    required: [username, password, brand, country_code]
    properties:
      username:
        type: string
      password:
        type: string
      brand:
        type: string
        example: Morning Consult
      country_code:
        type: string
        example: US
      min_date:
        type: string
        example: '2025-01-01'
      max_date:
        type: string
        example: '2025-03-31'
      interval:
        type: string
        example: month
  steps:
  - stepId: authenticate
    operationId: postAuthToken
    outputs:
      id_token: $response.body#/id_token
  - stepId: list-scores
    description: Discover the scores available to the subscription.
    operationId: getScores
    outputs:
      score_id: $response.body#/scores/0/id
  - stepId: score-data-sources
    description: Confirm which data sources the score can be computed in.
    operationId: getScoreDataSources
    parameters:
    - name: score_id
      in: path
      value: $steps.list-scores.outputs.score_id
    outputs:
      data_source_id: $response.body#/data_sources/0/id
  - stepId: find-entity
    description: Resolve the brand entity the score will be run against.
    operationId: getEntities
    parameters:
    - name: query
      in: query
      value: $inputs.brand
    outputs:
      entity_id: $response.body#/entities/0/id
  - stepId: post-scores
    description: Request the score timeseries.
    operationId: postScores
    requestBody:
      contentType: application/json
      payload:
        data_source_id: $steps.score-data-sources.outputs.data_source_id
        score_id: $steps.list-scores.outputs.score_id
        country_code: $inputs.country_code
        entity_id: $steps.find-entity.outputs.entity_id
        min_date: $inputs.min_date
        max_date: $inputs.max_date
        aggregation:
          interval: $inputs.interval
    outputs:
      data: $response.body
  outputs:
    score_series: $steps.post-scores.outputs.data