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Export Validation — Record Quality Audit + String Normalisation + Numeric Interval Filter
x402
Export Validation — Record Quality Audit + String Normalisation + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Runs three local analytical reports on export validation row data: a record quality audit, string normalisation of dataset group labels, and a numeric interval filter on valid_rows or exported_rows fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Export validation — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied export validation records (valid_rows, exported_rows). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports: (1) a record quality audit flagging missing, malformed or out-of-range values across all supplied rows; (2) a string normalisation report for dataset_group labels; and (3) a numeric interval filter report listing which rows have the selected numeric field (valid_rows or exported_rows) within the specified minimum–maximum range. All reports are computed locally without any external lookups. Up to 200 rows per call.
Example use cases
Nightly export pipeline quality check
“I've got last night's export log with 50 rows — can you run a record quality audit, normalise the dataset_group names, and filter valid_rows to only show me records between 5 and 500?”
Catching bad records before a data handoff
“Before I hand off this export file to the client, can you audit these rows for quality issues, clean up the group label strings, and flag any rows where exported_rows falls outside the range 0 to 200?”
Monthly export validation summary
“I need a combined report on my monthly export dataset — run the record quality audit, normalise the dataset group strings, and filter on the exported_rows field between 1 and 1000 for these 80 rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-14-197?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined local analytical operations — record quality audit, string normalisation, and numeric interval filtering — on export validation data (valid_rows, exported_rows) in a single low-cost call. Prefer it over single-operation endpoints when all three reports are needed at once, saving API round-trips. Not suitable when you need live data lookups, predictions, deduplication, or more than 200 rows per call.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds per-call limit
- Row missing required fields (row_id, dataset_group, date, valid_rows, exported_rows) — validation error
- Date field not matching YYYY-MM-DD pattern — schema error
- Minimum greater than maximum — interval filter returns empty or errors
- Non-numeric value in valid_rows or exported_rows — type coercion or rejection
- Payment of 0.01 USDC not completed — 402 response, no report returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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