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For queries that process large amounts of data, the Data API uses an asynchronous execution model. Instead of holding your connection open (and risking a timeout), you submit a query, receive a tracking ID, and poll for the results at your own pace.
Currently, all endpoints in the Data API require async queries.

The async lifecycle

  1. Initial Request: Submit your query parameters. The API returns a 202 Accepted status along with an executionId.
  2. Polling: Send the executionId back to the endpoint. If it’s still processing, you’ll get another 202 Accepted. Once finished, you’ll get a 200 OK with your data.
  3. Pagination: If your results are large, the completed response includes a nextPageId. Pass this token in your next request to pull the following page of results.

Response fields

Walkthrough

These examples authenticate with a Conductor API token. Still using the legacy API key + signature method? See Authentication for the equivalent request format.
1

Submit the initial query

Include all required query parameters specific to the endpoint.
Save the executionId from this response for the next step.
2

Poll for results

Use the executionId you received. Drop the main query parameters and only send the ID.
  • Still running? Expect a 202 response with executionState: "IN_PROGRESS".
  • Finished? Expect a 200 response with executionState: "COMPLETED" and your data payload.
3

Fetch the next page

If your 200 OK response included a nextPageId, include it alongside your executionId to pull the next chunk of data.
Need help? Reach out to the Data Platform Team: [email protected]