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TableProof – CSV Data Import Verifier by Exact IDs
x402
TableProof – CSV Data Import Verifier by Exact IDs is a paid API for AI agents from tableproof-data.mitchellwhite.chatgpt.site, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-11).
Compares original and imported CSV exports by exact record IDs to detect missing, added, and changed records.
Price / call$0.05
Success—
StatusUnknown
How this service works
Compare original and imported CSV exports by exact IDs. Find missing, added and changed records with a free bounded preview.
Output
Returns a bounded preview diff report identifying: records present in the original but missing from the import, records added that weren't in the original, and records whose field values changed — all keyed by exact record IDs.
Example use cases
Database migration integrity check
“I just migrated our customer database to the new system. Can you compare the original CSV export from the old system with the new export and flag any records that went missing or got altered during the migration?”
ETL pipeline audit after nightly load
“Our ETL pipeline ran last night and I want to make sure all records landed correctly. Please diff the source CSV against the destination CSV by record ID and show me anything that's missing, added unexpectedly, or changed.”
Vendor data import validation
“We received a CSV from a vendor and imported it into our system. Can you compare the vendor's original file against what we imported and highlight any discrepancies — missing rows, extra rows, or changed values?”
Technical details
Endpoint
POSThttps://tableproof-data.mitchellwhite.chatgpt.site/v1/npm-integrity?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to verify the fidelity of a CSV-based data import or migration by exact record IDs. It is ideal for post-ETL audits, database migration checks, and vendor data onboarding validation where you need a structured diff of missing, added, and changed rows rather than a visual file comparison.
Side effects
- Malformed or missing packages array input returns a validation error
- CSV files with no common ID column cannot be compared and may return an error
- Very large datasets may be truncated to the bounded preview limit
- Mismatched ID formats between original and import may cause false positives
- Network timeout if payload is too large
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| packagesrequired | array |
Tags
x402
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