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

# Get Processing Status

> Poll the processing pipeline status for a data entry

Returns the current processing pipeline status for a data entry. Use this to poll after an upload and track a data entry through processing.

<ParamField path="data_id" type="string" required>
  The UUID of the data entry
</ParamField>

## Response

Returns the workflow status object, or `null` if no processing workflow exists for the data entry.

<ResponseField name="workflow_id" type="string">
  ID of the processing workflow
</ResponseField>

<ResponseField name="workflow_status" type="string">
  Overall workflow status. One of: `PENDING`, `SUCCESS`, `ERROR`, `MAX_RECOVERY_ATTEMPTS_EXCEEDED`, `CANCELLED`, `ENQUEUED`
</ResponseField>

<ResponseField name="step_name" type="string">
  Name of the current processing step, or `null` if not applicable
</ResponseField>

<ResponseField name="step_started_at" type="number">
  Unix timestamp (seconds) when the current step started, or `null` if not applicable
</ResponseField>

<RequestExample>
  ```python Python theme={null}
  import requests

  response = requests.get(
      "https://api.atomscale.ai/pipelines/status/resource/d290f1ee-6c54-4b01-90e6-d701748f0851",
      headers={"X-API-KEY": "YOUR_API_KEY"}
  )
  status = response.json()
  ```

  ```bash cURL theme={null}
  curl "https://api.atomscale.ai/pipelines/status/resource/d290f1ee-6c54-4b01-90e6-d701748f0851" \
    -H "X-API-KEY: YOUR_API_KEY"
  ```
</RequestExample>

<ResponseExample>
  ```json 200 theme={null}
  {
    "workflow_id": "wf_9f8e7d6c",
    "workflow_status": "PENDING",
    "step_name": "extract_frames",
    "step_started_at": 1705315800
  }
  ```
</ResponseExample>