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Schema Conformity Record Quality Audit and Numeric Row Ordering
x402
Schema Conformity Record Quality Audit and Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Audits record quality (valid vs checked records) and sorts rows numerically for up to 200 schema conformity records, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering for supplied schema conformity records (valid_records, checked_records). 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 reports: (1) a record quality audit summarizing valid_records vs checked_records statistics per row and dataset group, and (2) a numeric row ordering ranking the supplied rows by the selected field (valid_records or checked_records). Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Daily data pipeline quality check
“I need to audit the record quality from yesterday's pipeline run across two dataset groups — group-a had 500 valid out of 520 checked on 2026-11-01 and group-b had 430 valid out of 510 checked on 2026-11-01. Rank the rows by valid_records and flag any quality issues.”
Multi-date conformity trend review
“Can you run a quality audit on these 6 schema conformity records from October and sort them by checked_records? I have rows from group-a and group-b spanning 2026-10-01 through 2026-10-06 with valid and checked counts I'll supply.”
Cross-group schema validation comparison
“Audit the record quality for my three dataset groups — group-alpha, group-beta, and group-gamma — over the past week, with dates from 2026-09-25 to 2026-10-01, and rank everything by valid_records so I can see which group performs best.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-007?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 schema conformity records with valid_records and checked_records fields and need both a quality audit and numeric ordering report in a single low-cost call ($0.01 USDC). Ideal for data governance pipelines, ETL validation summaries, or ad-hoc record quality checks where no live data lookup or external prediction is needed — just local analytical computation on your supplied data.
Side effects
- Missing required fields (row_id, date, valid_records, checked_records) cause validation errors
- More than 200 rows submitted exceeds the maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- null values in numeric fields may affect ordering and audit calculations
- Invalid field enum value (not 'valid_records' or 'checked_records') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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