> For the complete documentation index, see [llms.txt](https://docs.rememberizer.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rememberizer.ai/ja/rissu/api-docs/list-available-data-source-integrations.md).

# 利用可能なデータソース統合のリスト

{% openapi src="/files/NPsg8DFwcSjopKSuZo9m" path="/integrations/" method="get" %}
[rememberizer\_openapi.yml](https://3282965451-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FK09NlRK7lXZsjqCNQsEe%2Fuploads%2Fgit-blob-77b6137eeb641262ec8e531c78123c02b825b865%2Frememberizer_openapi.yml?alt=media\&token=dd73efa7-56a8-4350-88ab-85d7586fb7b8)
{% endopenapi %}

## 例リクエスト

{% tabs %}
{% tab title="cURL" %}

```bash
curl -X GET \
  https://api.rememberizer.ai/api/v1/integrations/ \
  -H "Authorization: Bearer YOUR_JWT_TOKEN"
```

{% hint style="info" %}
`YOUR_JWT_TOKEN` を実際のJWTトークンに置き換えてください。
{% endhint %}
{% endtab %}

{% tab title="JavaScript" %}

```javascript
const getIntegrations = async () => {
  const response = await fetch('https://api.rememberizer.ai/api/v1/integrations/', {
    method: 'GET',
    headers: {
      'Authorization': 'Bearer YOUR_JWT_TOKEN'
    }
  });
  
  const data = await response.json();
  console.log(data);
};

getIntegrations();
```

{% hint style="info" %}
`YOUR_JWT_TOKEN` を実際のJWTトークンに置き換えてください。
{% endhint %}
{% endtab %}

{% tab title="Python" %}

```python
import requests

def get_integrations():
    headers = {
        "Authorization": "Bearer YOUR_JWT_TOKEN"
    }
    
    response = requests.get(
        "https://api.rememberizer.ai/api/v1/integrations/",
        headers=headers
    )
    
    data = response.json()
    print(data)

get_integrations()
```

{% hint style="info" %}
`YOUR_JWT_TOKEN` を実際のJWTトークンに置き換えてください。
{% endhint %}
{% endtab %}
{% endtabs %}

## レスポンス形式

```json
{
  "data": [
    {
      "id": 101,
      "integration_type": "google_drive",
      "integration_step": "authorized",
      "source": "user@example.com",
      "document_type": "drive",
      "document_stats": {
        "status": {
          "indexed": 250,
          "indexing": 5,
          "error": 2
        },
        "total_size": 15000000,
        "document_count": 257
      },
      "consent_time": "2023-06-15T10:30:00Z",
      "memory_config": null,
      "token_validity": true
    },
    {
      "id": 102,
      "integration_type": "slack",
      "integration_step": "authorized",
      "source": "workspace-name",
      "document_type": "channel",
      "document_stats": {
        "status": {
          "indexed": 45,
          "indexing": 0,
          "error": 0
        },
        "total_size": 5000000,
        "document_count": 45
      },
      "consent_time": "2023-06-16T14:45:00Z",
      "memory_config": null,
      "token_validity": true
    }
  ],
  "message": "統合が正常に取得されました",
  "code": "success"
}
```

このエンドポイントは、現在のユーザーのために利用可能なすべてのデータソース統合のリストを取得します。レスポンスには、各統合に関する詳細情報が含まれており、統合タイプ、ステータス、およびドキュメント統計が含まれます。


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.rememberizer.ai/ja/rissu/api-docs/list-available-data-source-integrations.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.