> 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/ko/undefined-1/api-docs/list-available-data-source-integrations.md).

# 사용 가능한 데이터 소스 통합 목록

{% openapi src="/files/fAmF2Kwil50sF5cXMoEX" path="/integrations/" method="get" %}
[rememberizer\_openapi.yml](https://2913883985-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fs0e4JCKQXzEGPRlMO7nt%2Fuploads%2Fgit-blob-77b6137eeb641262ec8e531c78123c02b825b865%2Frememberizer_openapi.yml?alt=media\&token=ac0eeb18-73cf-42a3-93fe-2ff232a978a3)
{% endopenapi %}

## 예제 요청

{% 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`을 실제 JWT 토큰으로 교체하세요.
{% 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`을 실제 JWT 토큰으로 교체하세요.
{% 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`을 실제 JWT 토큰으로 교체하세요.
{% endhint %}
{% endtab %}
{% endtabs %}

## 응답 형식

```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": "통합이 성공적으로 검색되었습니다",
  "code": "success"
}
```

이 엔드포인트는 현재 사용자에 대한 모든 사용 가능한 데이터 소스 통합 목록을 검색합니다. 응답에는 각 통합에 대한 통합 유형, 상태 및 문서 통계에 대한 자세한 정보가 포함됩니다.


---

# 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/ko/undefined-1/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.