Make incoming data more consistent while keeping uncertain transformations reversible.

Illustrative idea, not a published runnable template. Grunt is prelaunch; live service is paused and live provider connections and outcomes remain unverified. The steps, providers, and outcomes below describe a concept.

For authorized work involving uploaded CSV rows, inferred field types, normalized values, and validation errors, prepare normalized rows from an uploaded CSV, separate validation issues, and stage valid data for an approved destination. A schema guess or unit conversion can silently change meaning, and CSV files may contain personal data. Confirm upload authority, minimize and protect fields, compare before-and-after samples, preserve rejected rows safely, and require the data owner to approve database writes. Explain information use and retention, obtain required consent, respect source and reuse rights, verify important details, and keep external or consequential actions under human approval.

Actual availability depends on published steps, supported connections, permissions, and provider approval.