Affinity: V2 Inferred Connections Coworkers Get

Get Coworker Inferred Connections.

Tool ID: affinity_v2_inferred_connections_coworkers_get

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(
  'affinity_v2_inferred_connections_coworkers_get',
  {
    "filter": "example"
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute affinity_v2_inferred_connections_coworkers_get --input '{
  "filter": "example"
}' --json

Example response

The static output schema is not detailed enough to generate a reliable example. Use deepline tools get affinity_v2_inferred_connections_coworkers_get --json for the complete live contract.

Input reference

| ⚠️ This endpoint is currently in BETA | |—| Returns inferred connections based on shared work history, grouped by the target person, strongest first. A connection is the belief that a source (a person in your Affinity data, with an id, whom you know) might know a target (a person not in your Affinity data, described only, whom you want to know), because the two had overlapping employment at a shared company. The same target can be reachable through several people you know. Connections are grouped by target: each item in data is one target together with the connections to them. Within a target, connections are ordered strongest first; targets are ordered by their strongest connection, strongest first. Each target carries the company they work at today in target.currentCompany: the company at which they are a potential contact now, which is not necessarily the shared See the live schema below for the complete notes.

Name	Type	Required	Default	Details
`payload.filter`	`string`	Yes	—	Filter options. At least one filter is required; the only currently supported filter is `target.currentCompany.id`, which narrows the targets to the one company the `target` person currently works at. Filtering on more than one company returns a `400`.
`payload.cursor`	`string`	No	—	Cursor for the next or previous page
`payload.limit`	`integer`	No	`20`	Number of targets to include in the page Format: `int32`. Minimum: 1. Maximum: 50.
`payload.totalCount`	`boolean`	No	`false`	Include total count of the collection in the pagination response

Output reference

Name	Type	Required	Default	Details
`result.data`	`object`	Yes	—	—
`result.data.data`	`array`	Yes	—	Maximum items: 50.
`result.data.data[].target`	`object`	Yes	—	—
`result.data.data[].target.fullName`	`string \| null`	Yes	—	—
`result.data.data[].target.linkedinUrl`	`string \| null`	Yes	—	—
`result.data.data[].target.currentCompany`	`object`	Yes	—	—
`result.data.data[].target.currentCompany.id`	`integer`	Yes	—	Format: `int64`. Minimum: 1. Maximum: 9007199254740991.
`result.data.data[].target.currentCompany.name`	`string \| null`	Yes	—	—
`result.data.data[].target.currentCompany.domain`	`string \| null`	Yes	—	—
`result.data.data[].connections`	`array`	Yes	—	Minimum items: 1. Maximum items: 50.
`result.data.data[].connections[].source`	`object`	Yes	—	—
`result.data.data[].connections[].source.id`	`integer`	Yes	—	Format: `int64`. Minimum: 1. Maximum: 9007199254740991.
`result.data.data[].connections[].source.firstName`	`string \| null`	Yes	—	—
`result.data.data[].connections[].source.lastName`	`string \| null`	Yes	—	—
`result.data.data[].connections[].source.primaryEmailAddress`	`string \| null`	Yes	—	Format: `email`.
`result.data.data[].connections[].inference`	`object`	Yes	—	—
`result.data.data[].connections[].inference.sharedEmployer`	`object`	Yes	—	—
`result.data.data[].connections[].inference.sharedEmployer.id`	`integer`	Yes	—	Format: `int64`. Minimum: 1. Maximum: 9007199254740991.
`result.data.data[].connections[].inference.sharedEmployer.name`	`string \| null`	Yes	—	—
`result.data.data[].connections[].inference.sharedEmployer.domain`	`string \| null`	Yes	—	—
`result.data.data[].connections[].inference.overlapStartDate`	`string`	Yes	—	Format: `date`.
`result.data.data[].connections[].inference.overlapEndDate`	`string`	Yes	—	Format: `date`.
`result.data.pagination`	`object`	Yes	—	—
`result.data.pagination.prevUrl`	`string \| null`	No	—	Format: `uri`.
`result.data.pagination.nextUrl`	`string \| null`	No	—	Format: `uri`.
`result.meta`	`object`	No	—	—

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

Affinity: V2 Inferred Connections Coworkers Get

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