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Export Validation — Record Quality Audit + Adjacent Row Changes
x402
Export Validation — Record Quality Audit + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Runs two local analytical reports on export validation data: a record quality audit and adjacent row change detection, for up to 200 rows of valid_rows/exported_rows data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Export validation — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes for supplied export validation records (valid_rows, exported_rows). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two independent analytical reports per call: (1) a record quality audit highlighting issues such as nulls, out-of-range values, or malformed records across the submitted rows, and (2) an adjacent row change report identifying significant differences or anomalies between consecutive rows — all computed locally from the supplied data with no external lookups.
Example use cases
Nightly export pipeline quality check
“I have yesterday's export validation records for two dataset groups — can you audit the record quality and flag any suspicious changes between adjacent rows? Here are 50 rows with row_id, date, dataset_group, valid_rows, and exported_rows, and I want the analysis on exported_rows.”
Catching data drops in ETL output
“Run an adjacent row change report on my ETL export data — I want to see where valid_rows jumps or drops unexpectedly between consecutive dates. I've got 120 rows across three dataset groups from last month.”
Pre-release dataset validation
“Before we ship this dataset, can you do a record quality audit on our export validation records and also check for any unusual changes between adjacent rows? I have 80 rows covering group-a through 2026-10-31 and I want to focus on valid_rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-14-011?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two complementary analytics reports — record quality audit plus adjacent row change detection — on export validation data in a single low-cost call. It is ideal for batch offline analysis of up to 200 rows where no live external lookups, predictions, or integrations are needed. Prefer it over single-report endpoints when both quality auditing and row-change detection are required simultaneously for valid_rows or exported_rows metrics.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, valid_rows, exported_rows) cause validation errors
- Invalid date format (must be YYYY-MM-DD) triggers schema rejection
- Field selector not one of 'valid_rows' or 'exported_rows' — enum validation failure
- Empty rows array (minItems: 1 not met) causes rejection
- Numeric values outside allowed range cause schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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