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TableProof · CSV Data Import Verifier
x402
TableProof · CSV Data Import Verifier is a paid API for AI agents from tableproof-data.mitchellwhite.chatgpt.site, paid per call via x402, $29/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
Price / call$29
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 JSONL toolkit archive (zip file) containing a bounded preview diff report that lists records present in the original but missing from the import, records added that weren't in the original, and records that exist in both but whose field values changed — all matched by exact record IDs.
Example use cases
Database migration integrity check
“I just migrated our customer database to a new system. Can you compare the original customers.csv export with the post-migration imported_customers.csv using TableProof and tell me which records are missing, added, or changed by ID?”
ETL pipeline output audit
“My ETL pipeline ran last night and produced a new CSV. Can you diff the source data export against the ETL output file using exact record IDs to confirm nothing was dropped or corrupted?”
Third-party data import verification
“We uploaded our product catalog to a vendor's platform and got back their imported version as a CSV. Use TableProof to compare the original catalog CSV against the vendor's version and flag any missing, added, or altered product IDs.”
Technical details
Endpoint
GEThttps://tableproof-data.mitchellwhite.chatgpt.site/store/jsonl-toolkit.zip?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a deterministic, ID-anchored diff between two CSV snapshots — especially after data imports, ETL runs, or database migrations where record-level accountability matters. Prefer it over generic file diff tools because it understands CSV structure and matches on exact record IDs rather than raw line changes, making it immune to row reordering.
Side effects
- CSV files with no common ID column may produce meaningless diffs
- Very large CSVs may exceed the bounded preview limit, showing only partial results
- Malformed or non-standard CSV encoding may cause parse errors
- Payment of $29 USDC required per call; failure to pay returns HTTP 402
- Mismatched ID column names between the two files may cause all rows to appear as added/missing
Output
Schema · Response
{
"type": "string",
"format": "binary"
}Tags
x402
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