> ## 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.

# Adyntel: Tiktok Ad Details

> Expanding one TikTok ad id into advertiser and targeting detail. Includes SDK V2 guidance, input constraints, response fields, and Deepline credit cost.

Expanding one TikTok ad id into advertiser and targeting detail.

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

## 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(
  'adyntel_tiktok_ad_details',
  {
    "id": "id_123"
  },
);

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

### CLI

```bash theme={"languages":{"custom":["/languages/deepline-prompt.json"]}}
deepline tools execute adyntel_tiktok_ad_details --input '{
  "id": "id_123"
}' --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": {
    "data": {
      "id": "id_123",
      "ad_name": "Example",
      "call_to_action": "example"
    }
  }
}
```

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

## Input reference

Fetch detailed TikTok ad, advertiser, and targeting metadata by ad id.

| Name | Type | Required | Default | Details |
| - | - | - | - | - |
| `payload.id` | `string` | Yes | — | Ad ID returned by adyntel\_tiktok\_search. Pass as string. |

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

  ### Input JSON Schema

  ```json theme={"languages":{"custom":["/languages/deepline-prompt.json"]}}
  {
    "type": "object",
    "description": "Fetch detailed TikTok ad, advertiser, and targeting metadata by ad id.",
    "properties": {
      "id": {
        "type": "string",
        "description": "Ad ID returned by adyntel_tiktok_search. Pass as string."
      }
    },
    "required": [
      "id"
    ],
    "additionalProperties": false
  }
  ```
</details>

## Output reference

Standard tool result payload.

| Name | Type | Required | Default | Details |
| - | - | - | - | - |
| `result.data` | `object` | Yes | — | Provider response payload. |
| `result.data.data` | `object` | No | — | — |
| `result.data.data.id` | `string \| number` | No | — | — |
| `result.data.data.ad_name` | `string` | No | — | — |
| `result.data.data.call_to_action` | `string` | No | — | — |
| `result.data.data.targeting` | `record` | 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": "Standard tool result payload.",
    "properties": {
      "data": {
        "type": "object",
        "description": "Provider response payload.",
        "properties": {
          "data": {
            "type": "object",
            "properties": {
              "id": {
                "anyOf": [
                  {
                    "type": "string"
                  },
                  {
                    "type": "number"
                  }
                ]
              },
              "ad_name": {
                "type": "string"
              },
              "call_to_action": {
                "type": "string"
              },
              "targeting": {
                "type": "object",
                "additionalProperties": {}
              }
            },
            "additionalProperties": false
          }
        },
        "additionalProperties": false
      },
      "meta": {
        "type": "object",
        "description": "Additional response metadata (status, paging).",
        "additionalProperties": {}
      }
    },
    "required": [
      "data"
    ],
    "additionalProperties": false
  }
  ```
</details>

## Deepline cost

* Pricing model: `fixed` (per call).
* Estimated Deepline credits: `0.13` per pricing unit.

## Related documentation

* [Adyntel provider guide](https://deepline.com/docs/providers/adyntel/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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