Datagma: Enrich Person

Enrich a person from a LinkedIn URL, email, or name plus company with email, mobile phone, job title, company, and location.

Tool ID: datagma_enrich_person

Run this action

Use the TypeScript SDK for a single call. Put ctx.tools.execute(...) inside a Play when the call should be durable, scheduled, or run across a CSV.

import { Deepline } from 'deepline';

const deepline = await Deepline.connect();
const result = await deepline.tools.execute(
  'datagma_enrich_person',
  {
    "linkedin": "https://www.linkedin.com/in/jane-doe",
    "email": "jane.doe@example.com",
    "fullName": "Example"
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute datagma_enrich_person --input '{
  "linkedin": "https://www.linkedin.com/in/jane-doe",
  "email": "jane.doe@example.com",
  "fullName": "Example"
}' --json

Example response

The SDK exposes this shape at result.toolResponse.raw. Values below are representative.

{
  "id": "id_123",
  "full_name": "Example",
  "first_name": "Jane"
}

Use deepline tools get datagma_enrich_person --json for the latest machine-readable contract.

Input reference

Compatibility person enrichment input that preserves the legacy Datagma public contract while routing through shared V2 enrichment.

Name	Type	Required	Default	Details
`payload.linkedin`	`string`	No	—	—
`payload.email`	`string`	No	—	—
`payload.fullName`	`string`	No	—	Minimum length: 1.
`payload.companyName`	`string`	No	—	Minimum length: 1.
`payload.domain`	`string`	No	—	Minimum length: 1.
`payload.phone`	`string`	No	—	Minimum length: 1.

Output reference

Name	Type	Required	Default	Details
`result.id`	`string`	No	—	—
`result.full_name`	`string`	No	—	—
`result.first_name`	`string`	No	—	—
`result.last_name`	`string`	No	—	—
`result.email`	`string`	No	—	—
`result.professional_email`	`string`	No	—	—
`result.personal_email`	`string`	No	—	—
`result.phone`	`string`	No	—	—
`result.mobile_phone`	`string`	No	—	—
`result.linkedin`	`string`	No	—	—
`result.title`	`string`	No	—	—
`result.seniority`	`string`	No	—	—
`result.department`	`string`	No	—	—
`result.location`	`object`	No	—	—
`result.location.city`	`string`	No	—	—
`result.location.state`	`string`	No	—	—
`result.location.country`	`string`	No	—	—
`result.location.country_code`	`string`	No	—	—
`result.company`	`object`	No	—	Native Datagma full-enrichment response. Deepline does not flatten this payload; use the declared company_name and domain getters for canonical values.
`result.company.company`	`object`	No	—	—
`result.company.company.basic`	`record`	No	—	—
`result.company.company.premium`	`record`	No	—	—
`result.experience`	`array`	No	—	—
`result.education`	`array`	No	—	—
`result.skills`	`array`	No	—	—
`result.languages`	`array`	No	—	—
`result.twitter`	`string`	No	—	—
`result.github`	`string`	No	—	—
`result.summary`	`string`	No	—	—
`result.followers`	`number`	No	—	—
`result.connections`	`number`	No	—	—
`result.is_decision_maker`	`boolean`	No	—	—
`result.job_change_detected`	`boolean`	No	—	—
`result.last_updated`	`string`	No	—	—
`result.confidence_score`	`number`	No	—	—
`result.data_sources`	`array`	No	—	—

Deepline cost

Pricing model: per_result (per result).
Estimated Deepline credits: 0.27 per pricing unit.

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Common workflows

Data and integrations

Reference

Datagma: Enrich Person

Run this action

CLI

Example response

Input reference

Output reference

Deepline cost

​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