> ## 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.

# LeadMagic: Technographics

> List the technologies a company uses, from its domain. Includes SDK V2 guidance, input constraints, response fields, and Deepline credit cost.

List the technologies a company uses, from its domain.

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

## 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(
  'leadmagic_technographics',
  {
    "company_domain": "example.com"
  },
);

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

### CLI

```bash theme={"languages":{"custom":["/languages/deepline-prompt.json"]}}
deepline run leadmagic_technographics --input '{
  "company_domain": "example.com"
}'
```

## 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": {
    "message": "Example message",
    "data": [
      {
        "name": "Example",
        "description": "Example description",
        "categories": [
          "example"
        ]
      }
    ]
  }
}
```

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

## Input reference

Get detailed technology stack information for any company by providing their domain.

| Name | Type | Required | Default | Details |
| - | - | - | - | - |
| `payload.company_domain` | `string` | Yes | — | The domain of the company to analyze |

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

  ### Input JSON Schema

  ```json theme={"languages":{"custom":["/languages/deepline-prompt.json"]}}
  {
    "type": "object",
    "description": "Get detailed technology stack information for any company by providing their domain.",
    "properties": {
      "company_domain": {
        "type": "string",
        "description": "The domain of the company to analyze"
      }
    },
    "required": [
      "company_domain"
    ],
    "additionalProperties": false
  }
  ```
</details>

## Output reference

Standard tool result payload.

| Name | Type | Required | Default | Details |
| - | - | - | - | - |
| `result.data` | `object` | Yes | — | Provider response payload. |
| `result.data.message` | `string` | No | — | — |
| `result.data.data` | `array` | No | — | Array of technologies found. Omitted or empty when no data is available. |
| `result.data.data[].name` | `string` | No | — | The name of the technology |
| `result.data.data[].description` | `string` | No | — | Description of the technology |
| `result.data.data[].categories` | `array` | No | — | Categories this technology belongs to |
| `result.data.data[].sub_technologies` | `array` | No | — | Sub-technologies or related tools |
| `result.data.data[].sub_technologies[].name` | `string` | No | — | Name of the sub-technology |
| `result.data.data[].sub_technologies[].description` | `string` | No | — | Description of the sub-technology |
| `result.data.data[].sub_technologies[].categories` | `array` | No | — | Categories for the sub-technology |
| `result.meta` | `object` | 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": "Standard tool result payload.",
    "properties": {
      "data": {
        "type": "object",
        "description": "Provider response payload.",
        "properties": {
          "message": {
            "type": "string"
          },
          "data": {
            "type": "array",
            "description": "Array of technologies found. Omitted or empty when no data is available.",
            "items": {
              "type": "object",
              "properties": {
                "name": {
                  "type": "string",
                  "description": "The name of the technology"
                },
                "description": {
                  "type": "string",
                  "description": "Description of the technology"
                },
                "categories": {
                  "type": "array",
                  "description": "Categories this technology belongs to",
                  "items": {
                    "type": "string"
                  }
                },
                "sub_technologies": {
                  "type": "array",
                  "description": "Sub-technologies or related tools",
                  "items": {
                    "type": "object",
                    "properties": {
                      "name": {
                        "type": "string",
                        "description": "Name of the sub-technology"
                      },
                      "description": {
                        "type": "string",
                        "description": "Description of the sub-technology"
                      },
                      "categories": {
                        "type": "array",
                        "description": "Categories for the sub-technology",
                        "items": {
                          "type": "string"
                        }
                      }
                    },
                    "additionalProperties": false
                  }
                }
              },
              "additionalProperties": false
            }
          }
        },
        "additionalProperties": false
      },
      "meta": {
        "type": "object",
        "description": "Additional response metadata (status, paging).",
        "additionalProperties": true
      }
    },
    "required": [
      "data"
    ],
    "additionalProperties": false
  }
  ```
</details>

## Deepline cost

* Pricing model: `per_result` (per result).
* Estimated Deepline credits: `0.34` per pricing unit.

## Related documentation

* [Connect integrations](https://deepline.com/docs/integrations.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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