Akta: Headcount Trends

Retrieving LinkedIn-sourced company headcount history and functional breakdowns.

Tool ID: akta_headcount_trends

Run this action

Use the TypeScript SDK for one call. Use ctx.tools.execute(...) inside a Play for durable calls, scheduled calls, or CSV processing.

import { Deepline } from 'deepline';

const deepline = await Deepline.connect();
const result = await deepline.tools.execute(
  'akta_headcount_trends',
  {
    "company": "Example Corp"
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute akta_headcount_trends --input '{
  "company": "Example Corp"
}' --json

Example response

The SDK returns this shape at result.toolResponse.raw. The example values illustrate the response.

{
  "data": {
    "data": {
      "uuid": "uuid_123",
      "linkedin_username": "https://www.linkedin.com/in/jane-doe",
      "linkedin_official_name": "https://www.linkedin.com/in/jane-doe"
    }
  }
}

Use deepline describe akta_headcount_trends --json for the latest machine-readable contract.

Input reference

Fetches a company’s LinkedIn-sourced headcount data, including total employee count, historical growth trends, and a functional breakdown of the workforce.

Name	Type	Required	Default	Details
`payload.company`	`string`	Yes	—	Company website (e.g. ‘canva.com’) or a company UUID. The UUID can be obtained from the Company Search API.

Output reference

Standard tool result payload.

Name	Type	Required	Default	Details
`result.data`	`object`	Yes	—	Provider response payload.
`result.data.data`	`object`	No	—	—
`result.data.data.uuid`	`string`	No	—	—
`result.data.data.linkedin_username`	`string`	No	—	—
`result.data.data.linkedin_official_name`	`string`	No	—	—
`result.data.data.total_employees`	`integer`	No	—	—
`result.data.data.date`	`string`	No	—	—
`result.data.data.growth_periods`	`array`	No	—	—
`result.data.data.headcount_growth`	`array`	No	—	—
`result.data.data.headcount_by_function`	`array`	No	—	—
`result.meta`	`object`	No	—	Additional response metadata (status, paging).

Deepline cost

Pricing model: provider_usage (provider usage).
Estimated Deepline credits: 0.56 per pricing unit.

​Run this action

​CLI

​Example response

​Input reference

​Output reference

​Deepline cost

​Related documentation

Run this action

CLI

Example response

Input reference

Output reference

Deepline cost

Related documentation