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TableProof – CSV Data Import Verification by Exact IDs
x402
TableProof – CSV Data Import Verification by Exact IDs is a paid API for AI agents from tableproof-data.mitchellwhite.chatgpt.site, paid per call via x402, $39/call, status unknown (last checked 2026-10-11).
Compares original and imported CSV exports by exact record IDs to identify missing, added, and changed records with a bounded preview.
Price / call$39
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
A binary (ZIP) report containing a bounded preview diff of the two CSVs, listing records that are missing from the import, records unexpectedly added, and records whose field values changed — all matched by exact record ID.
Example use cases
Post-migration data integrity check
“I just migrated our customer records to a new CRM and exported both the before and after CSVs — can you compare them by customer ID and show me which records are missing, which were added, and which ones have changed?”
ETL pipeline output validation
“My ETL job finished but I want to double-check the output. Can you diff the original source CSV against the transformed output CSV by record ID and flag anything that's missing or looks different?”
Vendor data import audit
“A vendor sent back a processed version of our product catalog CSV. Can you compare our original file with their returned file by product ID and tell me what records they dropped, added, or modified?”
Technical details
Endpoint
GEThttps://tableproof-data.mitchellwhite.chatgpt.site/store/retry-contracts.zip?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 comparing records at the ID level — especially when you want a precise accounting of missing, added, and changed rows rather than a fuzzy or statistical comparison. It is particularly well-suited for post-ETL audits, vendor data roundtrips, or CRM/database migrations where you have both a pre- and post-import CSV export available.
Side effects
- CSV files lack a consistent ID column, making exact-match comparison impossible
- Malformed or non-UTF-8 CSV encoding causes parse errors
- CSVs with mismatched column schemas may produce unreliable change detection
- Large files may be truncated due to bounded preview limits
- Payment failure ($39 USDC) results in 402 response with no data returned
Output
Schema · Response
{
"type": "string",
"format": "binary"
}Tags
x402
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