> ## Documentation Index
> Fetch the complete documentation index at: https://docs.powerdrill.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Check Status of Data Sources

> How to verify that all data sources in the specified dataset are synchronized

Powerdrill lets you upload multiple data sources to a dataset, making it easier to organize your data files. However, any data sources that are not synchronized at the time a job starts will be excluded from analysis or exploration.

To ensure all data sources are used in data analysis, make sure they are fully synchronized before executing data jobs. Here's how:

***

## 1. Call the endpoint

Send a request to the [Get status summary of data sources in dataset
](/api-reference/v2/get-dataset-status) endpoint.

Following is a request example:

<Tip>
  Set `id` to the dataset ID, `user_id` to your user ID, and `x-pd-api-key` to the API key of the target project.
</Tip>

```python Python theme={null}
import requests

url = "https://ai.data.cloud/api/v2/team/datasets/{id}/status?user_id=tmm-dafasdfasdfasdf"

headers = {"x-pd-api-key": "<api-key>"}

response = requests.request("GET", url, headers=headers)

print(response.text)
```

***

## 2. Check the result

Then, review the returned response:

```json Example response theme={null}
{
  "code": 0,
  "data": {
    "synched_count": 5,
    "invalid_count": 0,
    "synching_count": 0
  }
}
```

If both `invalid_count` and `synching_count` are `0`, all data sources in the dataset are fully synchronized and ready to be used by Powerdrill. Otherwise, any unsynchronized sources will not be available for analysis.