> ## 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.

# People Data Labs: Bulk Organization Enrichment

> Enrich many companies at once from their domains with firmographics such as industry, size and location. Includes SDK V2 examples, schemas, and cost.

Enrich many companies at once from their domains with firmographics such as industry, size and location.

> [!NOTE]
>
> Tool ID: `peopledatalabs_bulk_organization_enrichment`

## 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.

```ts theme={"languages":{"custom":["/languages/deepline-prompt.json"]}}
import { Deepline } from 'deepline';

const deepline = await Deepline.connect();
const result = await deepline.tools.execute(
  'peopledatalabs_bulk_organization_enrichment',
  {
    "domains": [
      "example.com"
    ]
  },
);

console.log(result.toolResponse.raw);
```

### CLI

```bash theme={"languages":{"custom":["/languages/deepline-prompt.json"]}}
deepline tools execute peopledatalabs_bulk_organization_enrichment --input '{
  "domains": [
    "example.com"
  ]
}' --json
```

## Example response

The SDK returns this shape at `result.toolResponse.raw`. The example values illustrate the response.

```json theme={"languages":{"custom":["/languages/deepline-prompt.json"]}}
{
  "data": [
    {
      "id": "id_123",
      "name": "Example",
      "employee_count": 123
    }
  ]
}
```

Use `deepline describe peopledatalabs_bulk_organization_enrichment --json` for the latest machine-readable contract.

## Input reference

People Data Labs bulk organization enrichment input.

| Name | Type | Required | Default | Details |
| - | - | - | - | - |
| `payload.domains` | `array` | Yes | — | List of company domains to enrich (1-100). |
| `payload.titlecase` | `boolean` | No | — | Normalize output text casing for every domain. |
| `payload.pretty` | `boolean` | No | — | Pretty-print upstream responses. |
| `payload.min_likelihood` | `integer` | No | — | Minimum likelihood required for every company match. Minimum: 1. Maximum: 10. |
| `payload.include_if_matched` | `boolean` | No | — | Include matched inputs in response metadata. |
| `payload.required` | `string` | No | — | Required expression applied to every company match. |
| `payload.data_include` | `string` | No | — | Fields to include or exclude for every company. A leading - excludes fields. Only the literal two-character value "" suppresses the data payload. A bare empty value is ignored. Projection does not reduce credits. |

<details>
  <summary>Show raw input schema</summary>

  ### Input JSON Schema

  ```json theme={"languages":{"custom":["/languages/deepline-prompt.json"]}}
  {
    "type": "object",
    "description": "People Data Labs bulk organization enrichment input.",
    "properties": {
      "domains": {
        "type": "array",
        "description": "List of company domains to enrich (1-100).",
        "items": {
          "type": "string"
        }
      },
      "titlecase": {
        "type": "boolean",
        "description": "Normalize output text casing for every domain."
      },
      "pretty": {
        "type": "boolean",
        "description": "Pretty-print upstream responses."
      },
      "min_likelihood": {
        "type": "integer",
        "description": "Minimum likelihood required for every company match.",
        "minimum": 1,
        "maximum": 10
      },
      "include_if_matched": {
        "type": "boolean",
        "description": "Include matched inputs in response metadata."
      },
      "required": {
        "type": "string",
        "description": "Required expression applied to every company match."
      },
      "data_include": {
        "type": "string",
        "description": "Fields to include or exclude for every company. A leading - excludes fields. Only the literal two-character value \"\" suppresses the data payload; a bare empty value is ignored. Projection does not reduce credits."
      }
    },
    "required": [
      "domains"
    ],
    "additionalProperties": false
  }
  ```
</details>

## Output reference

People Data Labs bulk organization enrichment result.

| Name | Type | Required | Default | Details |
| - | - | - | - | - |
| `result.data` | `array` | Yes | — | Provider response payload. |
| `result.data[].id` | `string` | No | — | — |
| `result.data[].name` | `string` | No | — | — |
| `result.data[].employee_count` | `number` | No | — | — |
| `result.data[].website` | `string` | No | — | — |
| `result.data[].display_name` | `string` | No | — | — |
| `result.data[].size` | `string` | No | — | — |
| `result.data[].industry` | `string` | No | — | — |
| `result.data[].description` | `string` | No | — | — |
| `result.data[].founded` | `number` | No | — | — |
| `result.data[].linkedin_url` | `string` | No | — | — |
| `result.data[].phone` | `string` | No | — | — |
| `result.meta` | `record` | No | — | Additional response metadata (status, paging). |

<details>
  <summary>Show raw output schema</summary>

  ### Output JSON Schema

  ```json theme={"languages":{"custom":["/languages/deepline-prompt.json"]}}
  {
    "type": "object",
    "description": "People Data Labs bulk organization enrichment result.",
    "properties": {
      "data": {
        "type": [
          "array",
          "null"
        ],
        "description": "Provider response payload.",
        "items": {
          "type": "object",
          "description": "PDL company record.",
          "properties": {
            "id": {
              "type": "string"
            },
            "name": {
              "type": "string"
            },
            "employee_count": {
              "type": "number"
            },
            "website": {
              "type": "string"
            },
            "display_name": {
              "type": "string"
            },
            "size": {
              "type": "string"
            },
            "industry": {
              "type": "string"
            },
            "description": {
              "type": "string"
            },
            "founded": {
              "type": "number"
            },
            "linkedin_url": {
              "type": "string"
            },
            "phone": {
              "type": "string"
            }
          },
          "additionalProperties": false
        }
      },
      "meta": {
        "type": "object",
        "description": "Additional response metadata (status, paging).",
        "additionalProperties": {}
      }
    },
    "required": [
      "data"
    ],
    "additionalProperties": false
  }
  ```
</details>

## Deepline cost

* Pricing model: `per_result` (per result).
* Estimated Deepline credits: `1.19` per pricing unit.

## Related documentation

* [People Data Labs provider guide](https://deepline.com/docs/providers/peopledatalabs/guide.md)
* [SDK V2 quickstart](https://deepline.com/docs/sdk-v2/quickstart.md)
* [SDK reference](https://deepline.com/docs/sdk-v2/sdk-reference.md)
* [Run tools across a CSV](https://deepline.com/docs/sdk-v2/batch-csv.md)


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