> ## Documentation Index > Fetch the complete documentation index at: https://deepline.com/docs/llms.txt > Use this file to discover all available pages before exploring further. # Affinity: V2 Inferred Connections Investor Executive > Get Investor-Executive Inferred Connections. Includes SDK V2 guidance, input constraints, response fields, and Deepline credit cost. Get Investor-Executive Inferred Connections. Tool ID: `affinity_v2_inferred_connections_investor_executive_connections_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. ```ts theme={null} import { Deepline } from 'deepline'; const deepline = await Deepline.connect(); const result = await deepline.tools.execute( 'affinity_v2_inferred_connections_investor_executive_connections_get', { "filter": "example" }, ); console.log(result.toolResponse.raw); ``` ### CLI ```bash theme={null} deepline tools execute affinity_v2_inferred_connections_investor_executive_connections_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_investor_executive_connections_get --json` for the complete live contract. ## Input reference \| ⚠️ This endpoint is currently in BETA | |--| Returns investor-executive inferred connections, 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). In this connection type the source is an investor and the target is an executive: the source invested in a company where the target was an executive. 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 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 |
Show raw input schema ### Input JSON Schema ```json theme={null} { "type": "object", "description": "| ⚠️ This endpoint is currently in BETA | |--| Returns investor-executive inferred connections, 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). In this connection type the source is an investor and the target is an executive: the source invested in a company where the target was an executive. 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 company involved in the investment. The `filter` parameter is required and must contain at least one filter. The only currently supported filter is `target.currentCompany.id`, which narrows the targets to a single such company. ## Filters | **Property Name** | **Type** | **Description** | **Allowed Operators** | **Examples** | |---|---|---|---|---| | `target.currentCompany.id` | `integer` | The id of the company the `target` person currently works at. Must reference a single company; filtering on more than one (e.g. `target.currentCompany.id = 1 \\| target.currentCompany.id = 2`) returns a `400`. | `=` | `target.currentCompany.id = 123` |", "properties": { "filter": { "type": "string", "description": "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`." }, "cursor": { "type": "string", "description": "Cursor for the next or previous page" }, "limit": { "type": "integer", "description": "Number of targets to include in the page", "default": 20, "minimum": 1, "maximum": 50, "format": "int32" }, "totalCount": { "type": "boolean", "description": "Include total count of the collection in the pagination response", "default": false } }, "required": [ "filter" ], "additionalProperties": false } ```
## 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.investingFirm` | `record` | Yes | — | — | | `result.data.data[].connections[].inference.portfolioCompany` | `object` | Yes | — | — | | `result.data.data[].connections[].inference.portfolioCompany.id` | `integer` | Yes | — | Format: `int64`. Minimum: 1. Maximum: 9007199254740991. | | `result.data.data[].connections[].inference.portfolioCompany.name` | `string \| null` | Yes | — | — | | `result.data.data[].connections[].inference.portfolioCompany.domain` | `string \| null` | Yes | — | — | | `result.data.data[].connections[].dealContext` | `object` | Yes | — | — | | `result.data.data[].connections[].dealContext.fundingEvent` | `object` | Yes | — | — | | `result.data.data[].connections[].dealContext.fundingEvent.date` | `string` | Yes | — | Format: `date`. | | `result.data.data[].connections[].dealContext.fundingEvent.series` | `string \| null` | Yes | — | — | | `result.data.data[].connections[].dealContext.fundingEvent.amount` | `number \| null` | Yes | — | Format: `float`. | | `result.data.data[].connections[].dealContext.fundingEvent.currencyCode` | `string \| null` | Yes | — | — | | `result.data.data[].connections[].dealContext.investor` | `object` | Yes | — | — | | `result.data.data[].connections[].dealContext.investor.startDate` | `string` | Yes | — | Format: `date`. | | `result.data.data[].connections[].dealContext.investor.endDate` | `string \| null` | Yes | — | Format: `date`. | | `result.data.data[].connections[].dealContext.investor.company` | `object` | Yes | — | — | | `result.data.data[].connections[].dealContext.investor.company.id` | `integer` | Yes | — | Format: `int64`. Minimum: 1. Maximum: 9007199254740991. | | `result.data.data[].connections[].dealContext.investor.company.name` | `string \| null` | Yes | — | — | | `result.data.data[].connections[].dealContext.investor.company.domain` | `string \| null` | Yes | — | — | | `result.data.data[].connections[].dealContext.executive` | `object` | Yes | — | — | | `result.data.data[].connections[].dealContext.executive.startDate` | `string` | Yes | — | Format: `date`. | | `result.data.data[].connections[].dealContext.executive.endDate` | `string \| null` | Yes | — | Format: `date`. | | `result.data.data[].connections[].dealContext.executive.company` | `object` | Yes | — | — | | `result.data.data[].connections[].dealContext.executive.company.id` | `integer` | Yes | — | Format: `int64`. Minimum: 1. Maximum: 9007199254740991. | | `result.data.data[].connections[].dealContext.executive.company.name` | `string \| null` | Yes | — | — | | `result.data.data[].connections[].dealContext.executive.company.domain` | `string \| null` | Yes | — | — | | `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 | — | — | This output schema is too large to embed without slowing the page. Get the complete live contract with `deepline tools get affinity_v2_inferred_connections_investor_executive_connections_get --json`. ## Deepline cost * Pricing model: `fixed` (per call). * Estimated Deepline credits: `0` per pricing unit. * Provider-native pricing may still exist outside Deepline credit billing. ## Related documentation * [Affinity provider guide](/docs/providers/affinity/guide) * [SDK V2 quickstart](/docs/sdk-v2/quickstart) * [SDK reference](/docs/sdk-v2/sdk-reference) * [Run tools across a CSV](/docs/sdk-v2/batch-csv)