Context.dev: Contextdev Post People Retrieve

Retrieve Person.

Tool ID: contextdev_post_people_retrieve

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(
  'contextdev_post_people_retrieve',
  {
    "identifiers": {
      "linkedinUrl": "https://example.com/resource"
    }
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute contextdev_post_people_retrieve --input '{
  "identifiers": {
    "linkedinUrl": "https://example.com/resource"
  }
}' --json

Example response

The static output schema is not detailed enough to generate a reliable example. Use deepline tools get contextdev_post_people_retrieve --json for the complete live contract.

Input reference

Retrieve and normalize a person profile from identifiers.

Name	Type	Required	Default	Details
`payload.identifiers`	`object`	Yes	—	Known identifiers for the person. At least one identifier is required.
`payload.timeoutMS`	`integer`	No	—	Optional timeout in milliseconds for the request. If the request takes longer than this value, it will be aborted with a 408 status code. Maximum allowed value is 300000ms (5 minutes). Minimum: 1000. Maximum: 300000.
`payload.tags`	`array`	No	—	Optional tags for tracking usage. Up to 20 tags, each 1 to 50 characters. Maximum items: 20.

Output reference

Name	Type	Required	Default	Details
`result.data`	`object`	Yes	—	—
`result.data.status`	`"ok"`	Yes	—	Allowed: `ok`.
`result.data.code`	`200`	Yes	—	Allowed: `200`.
`result.data.person`	`object`	Yes	—	—
`result.data.person.profile`	`object`	Yes	—	—
`result.data.person.profile.fullName`	`string`	No	—	—
`result.data.person.profile.headline`	`string`	No	—	—
`result.data.person.profile.location`	`string`	No	—	—
`result.data.person.profile.summary`	`string`	No	—	—
`result.data.person.profile.profilePictureUrl`	`string`	No	—	Format: `uri`.
`result.data.person.education`	`array`	Yes	—	—
`result.data.person.education[].institution`	`object`	Yes	—	—
`result.data.person.education[].institution.display`	`string`	Yes	—	—
`result.data.person.education[].institution.normalized`	`string`	No	—	—
`result.data.person.education[].qualification`	`string`	No	—	—
`result.data.person.education[].fieldOfStudy`	`string`	No	—	—
`result.data.person.education[].description`	`string`	No	—	—
`result.data.person.education[].dates`	`object`	No	—	—
`result.data.person.education[].dates.startDate`	`object`	No	—	—
`result.data.person.education[].dates.startDate.year`	`integer`	Yes	—	—
`result.data.person.education[].dates.startDate.month`	`integer`	No	—	Minimum: 1. Maximum: 12.
`result.data.person.education[].dates.startDate.day`	`integer`	No	—	Minimum: 1. Maximum: 31.
`result.data.person.education[].dates.endDate`	`object`	No	—	—
`result.data.person.education[].dates.endDate.year`	`integer`	Yes	—	—
`result.data.person.education[].dates.endDate.month`	`integer`	No	—	Minimum: 1. Maximum: 12.
`result.data.person.education[].dates.endDate.day`	`integer`	No	—	Minimum: 1. Maximum: 31.
`result.data.person.education[].dates.isCurrent`	`boolean`	No	—	—
`result.data.person.experience`	`array`	Yes	—	—
`result.data.person.experience[].company`	`object`	Yes	—	—
`result.data.person.experience[].company.display`	`string`	Yes	—	—
`result.data.person.experience[].company.normalized`	`string`	No	—	—
`result.data.person.experience[].title`	`string`	Yes	—	—
`result.data.person.experience[].description`	`string`	No	—	—
`result.data.person.experience[].dates`	`object`	No	—	—
`result.data.person.experience[].dates.startDate`	`object`	No	—	—
`result.data.person.experience[].dates.startDate.year`	`integer`	Yes	—	—
`result.data.person.experience[].dates.startDate.month`	`integer`	No	—	Minimum: 1. Maximum: 12.
`result.data.person.experience[].dates.startDate.day`	`integer`	No	—	Minimum: 1. Maximum: 31.
`result.data.person.experience[].dates.endDate`	`object`	No	—	—
`result.data.person.experience[].dates.endDate.year`	`integer`	Yes	—	—
`result.data.person.experience[].dates.endDate.month`	`integer`	No	—	Minimum: 1. Maximum: 12.
`result.data.person.experience[].dates.endDate.day`	`integer`	No	—	Minimum: 1. Maximum: 31.
`result.data.person.experience[].dates.isCurrent`	`boolean`	No	—	—
`result.data.person.skills`	`array`	Yes	—	—
`result.data.person.skills[].name`	`string`	Yes	—	—
`result.data.person.skills[].normalized`	`string`	No	—	—
`result.data.person.skills[].proficiency`	`string`	No	—	—
`result.data.metadata`	`object`	Yes	—	—
`result.data.metadata.identifiers`	`object`	Yes	—	—
`result.data.metadata.identifiers.linkedinUrl`	`string`	No	—	Format: `uri`.

The table shows the first 50 fields. Expand the raw schema below for every field.

Deepline cost

Pricing model: fixed (per call).
Estimated Deepline credits: 0 per pricing unit.
Provider-native pricing may still exist outside Deepline credit billing.

Getting Started

GTM is code

Features

Deepline SDK beta

Integrations

API Reference

Context.dev: Contextdev Post People Retrieve

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