AGENCY OVERFLOW · DATA CLEANUP

When the file is too messy for manual cleanup but too small for a custom data project.

This supporting service is for bounded tabular work: mapping, normalization, validation, deduplication, split outputs and explicit exception rows. It is not positioned as a generic “AI cleans anything” promise.

Request cleanup scope See cleanup evidence

ShadowOrders product: CSV/XLSX Data Cleanup & QA. This page describes one specific use case; the technical boundary is the same as the underlying product.

THE PROBLEM

The useful deliverable is the clean data plus the rejected data you can still inspect.

Forcing every bad row into the final output creates false confidence. The pipeline keeps exceptions visible and can provide roundtrip-verified split outputs for defined scopes.

THE SMALLEST USEFUL CHECK

Send one representative file

Small scopes start from $19 after feasibility review. Agencies can use the service as overflow without transferring client platform credentials.

BOUNDARY

What this does not claim.

Scope is confirmed before payment. Macros and unsafe spreadsheet execution are not part of the standard workflow.

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