Datagma: Job Change Detection

Check whether a known contact has changed companies.

Tool ID: datagma_job_change_detection

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(
  'datagma_job_change_detection',
  {
    "firstName": "Jane",
    "lastName": "Doe",
    "fullName": "Example"
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute datagma_job_change_detection --input '{
  "firstName": "Jane",
  "lastName": "Doe",
  "fullName": "Example"
}' --json

Example response

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

{
  "data": {
    "data": {
      "firstName": "Jane",
      "lastName": "Doe",
      "name": "Example"
    },
    "status": "example",
    "companyScore": 123
  }
}

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

Input reference

Detect in real time if one of your contacts has changed company or if he still works in the same company.

Name	Type	Required	Default	Details
`payload.firstName`	`string`	No	—	The first name of the person whose status you want to check
`payload.lastName`	`string`	No	—	The last name of the person whose status you want to check
`payload.fullName`	`string`	No	—	Instead of input firstname, lastname. You can input full name here
`payload.companyName`	`string`	No	—	The last known company for this person
`payload.jobTitle`	`string`	No	—	If you think that more than one person may have the same name in this company, please do not hesitate to give us the last known job title, so that our AI can choose the right person.

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.firstName`	`string`	No	—	—
`result.data.data.lastName`	`string`	No	—	—
`result.data.data.name`	`string`	No	—	—
`result.data.data.linkedIn`	`string`	No	—	—
`result.data.data.currentCompany`	`string`	No	—	—
`result.data.data.title`	`string`	No	—	—
`result.data.data.experiences`	`array`	No	—	—
`result.data.data.experiences[].company`	`string`	No	—	—
`result.data.data.experiences[].jobTitle`	`string`	No	—	—
`result.data.data.experiences[].duration`	`string`	No	—	—
`result.data.data.ableToGetPastExperience`	`boolean`	No	—	—
`result.data.data.ableToFindCompanyInputInProfile`	`boolean`	No	—	—
`result.data.data.from`	`string`	No	—	—
`result.data.status`	`string`	No	—	—
`result.data.companyScore`	`number`	No	—	Format: `float`.
`result.meta`	`object`	No	—	Additional response metadata (status, paging).

Deepline cost

Pricing model: provider_usage (provider usage).
Estimated Deepline credits: 0.14 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