Deepline Native: Enrich Phone

Find a person’s mobile or direct phone number from a LinkedIn URL, email, or name plus company domain, waiting for final results.

Tool ID: enrich_phone

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(
  'enrich_phone',
  {
    "linkedin": "https://www.linkedin.com/in/jane-doe",
    "email": "jane.doe@example.com",
    "first_name": "Jane"
  },
);

console.log(result.toolResponse.raw);

CLI

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

Example response

The static output schema lacks the details for a reliable example. Use deepline describe enrich_phone --json for the complete live contract.

Input reference

Run phone enrichment for a specific person and wait for completion, returning job_id.

Name	Type	Required	Default	Details
`payload.linkedin`	`string`	No	—	LinkedIn profile id or profile URL slug (max 500 chars).
`payload.email`	`string`	No	—	Known email to enrich phone from (max 254 chars).
`payload.first_name`	`string`	No	—	First name for phone enrichment lookup (max 100 chars).
`payload.last_name`	`string`	No	—	Last name for phone enrichment lookup (max 100 chars).
`payload.domain`	`string`	No	—	Domain for phone enrichment lookup context (2-500 chars).
`payload.full_name`	`string`	No	—	Full name when first/last name are unavailable (max 250 chars).
`payload.webhook_url`	`string`	No	—	Webhook endpoint for callback delivery (max 2083 chars).
`payload.custom_fields`	`record`	No	—	Opaque metadata echoed back in finder responses via custom_fields (max 16 keys).

Output reference

Standard tool result payload.

Name	Type	Required	Default	Details
`result.data`	`record`	Yes	—	Provider response payload.
`result.meta`	`record`	No	—	Additional response metadata (status, paging).

Deepline cost

Pricing model: per_result (per result).
Estimated Deepline credits: 3.5 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