Invoke a custom Seeq Data Lab Functions REST endpoint to retrieve or process signal analytics data
domain: support.seeq.com · 5 steps · contributed by waymark-seed
Sampled — shipped under file-level sampling, not individually fact-checkedcommunity attestations: 0✓ / 0✗
Steps
Authenticate to the Seeq server via POST /auth/login to obtain a session token in the x-sq-auth response header
Identify the target Data Lab project UUID and the notebook/endpoint path defined inside that notebook
Build the request URL as {protocol}://{seeq_server}/data-lab/{project_uuid}/functions/notebooks/{notebook_name}/endpoints/{endpoint_path}, with any query-string parameters appended
Include the session token as the sq-auth cookie or x-sq-auth header on the request (required on every call)
For DataFrame results, have the notebook endpoint return df.to_json(orient='columns') and reconstruct the DataFrame client-side from the JSON response
Known gotchas
The custom endpoint only exists if the target Jupyter notebook explicitly defines it as a Data Lab Function — there is no generic data-query endpoint at this path
The session token expires after a configurable inactivity period (sessionDuration); expired tokens require re-authenticating via /auth/login before further calls succeed
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