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TableProof · Verify Data Import by Exact IDs
x402
TableProof · Verify Data Import by Exact IDs is a paid API for AI agents from tableproof-data.mitchellwhite.chatgpt.site, paid per call via x402, $19/call, status unknown (last checked 2026-10-11).
Compares original and imported CSV exports by exact IDs to detect missing, added, and changed records with a bounded preview.
Price / call$19
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 downloadable toolkit archive (binary ZIP) containing a bounded preview report of differences between the two CSVs, categorized into missing records (present in original but not imported), added records (present in imported but not original), and changed records (same ID but differing field values).
Example use cases
Post-migration data integrity check
“I just migrated our product catalog from the old system — can you compare the original export and the new import CSV by record ID and show me any missing or changed rows?”
ETL pipeline output verification
“Our ETL job ran last night and I need to confirm the output CSV matches the source exactly — can you diff the two files by ID and flag anything that was added, removed, or altered?”
Client data handoff audit
“Before I sign off on this data handoff, can you compare the original client records CSV with what they imported and give me a preview of any discrepancies found by ID?”
Technical details
Endpoint
GEThttps://tableproof-data.mitchellwhite.chatgpt.site/store/toolkit.zip?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to verify CSV data imports by matching records on exact IDs and need a clear categorical breakdown of missing, added, and changed rows — especially useful after ETL jobs, system migrations, or third-party data handoffs where row-level integrity matters.
Side effects
- CSVs with mismatched ID column names may fail to align records correctly
- Very large CSV files may exceed the bounded preview limit, returning only a partial diff
- Malformed CSV formatting (inconsistent delimiters, unescaped quotes) may cause parse errors
- Network or payment failure before processing returns no result
- ID columns not uniquely identifying rows may produce ambiguous or incorrect diff results
Output
Schema · Response
{
"type": "string",
"format": "binary"
}Tags
x402
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