LinkedIn · OpenAPI Overlay 1.0.0

API Evangelist conversational phrasing for Reporting & ROI Use Cases > B2B Templates > Conversions Deep Dive API

2 actions 2 updates phrasing extends openapi/linkedin-use-cases-b2b-templates-conversions-deep-dive-api-openapi.yml

Generated by API Evangelist Written by API Evangelist tooling for LinkedIn's API. It is a proposal applied on top of the contract, not a document LinkedIn publishes.

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What the actions change

x-apievangelist-phrasing

Targets 2

$.info

$.paths['/adAnalytics'].get

OpenAPI Overlay

# Generated by API Evangelist (build-phrasing.py). Our phrasing, not observed demand.
overlay: 1.0.0
info:
  title: API Evangelist conversational phrasing for Reporting & ROI Use Cases > B2B Templates > Conversions Deep Dive API
  version: 1.0.0
extends: openapi/linkedin-use-cases-b2b-templates-conversions-deep-dive-api-openapi.yml
actions:
- target: $.info
  update:
    x-apievangelist-phrasing:
      method: generated
      generated: '2026-09-26'
      generator: build-phrasing.py
      label: Generated by API Evangelist
      operations: 1
- target: $.paths['/adAnalytics'].get
  update:
    x-apievangelist-phrasing:
      intent: Report conversions by member company size
      effect: read
      questions:
      - Which company sizes drive the most conversions for my ads?
      - Can I break down conversions by company size over a date range?
      instructions:
      - text: Report conversions for accounts {accounts} pivoted by {pivot} over {dateRange}.
        slots:
          accounts: query.accounts
          pivot: query.pivot
          dateRange: query.dateRange
      - text: Show conversions by company size at {timeGranularity} granularity with fields {fields}.
        slots:
          timeGranularity: query.timeGranularity
          fields: query.fields
      method: generated
      generated: '2026-09-26'