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Join Coverage Record Quality Audit and Numeric Row Ordering
x402
Join Coverage 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 2026-10-19).
Performs a record quality audit and numeric row ordering analysis on join coverage data (matched_rows, source_rows) for up to 200 rows, returning 2 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering for supplied join coverage records (matched_rows, source_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
Two independent analytical reports for the supplied join coverage rows: (1) a record quality audit identifying data completeness, nulls, and anomalies across matched_rows and source_rows fields, and (2) a numeric row ordering report ranking rows by the selected field (matched_rows or source_rows). Results are computed locally with no external lookups.
Example use cases
ETL pipeline join coverage audit
“I just ran my ETL pipeline and have join coverage results for 8 rows across two dataset groups — can you audit the record quality and rank them numerically by matched_rows? Here are the rows: row-1 on 2024-01-01 with source_rows=100 and matched_rows=95 in group-sales, row-2 on 2024-01-02 with source_rows=200 and matched_rows=180 in group-sales, and so on for the rest.”
Data warehouse source row ordering
“I need a numeric ordering report on source_rows for my data warehouse join coverage — I have 5 records across dataset groups 'inventory' and 'orders' from 2024-03-01 to 2024-03-05. Can you also give me the quality audit for those same rows? Use source_rows as the field.”
Multi-group join match quality check
“Can you check the record quality and numerically order by matched_rows for my join coverage data? I have 6 rows split between 'customers' and 'transactions' groups, dated 2024-06-01 through 2024-06-06, with matched_rows ranging from 50 to 300 and source_rows from 60 to 350.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-007?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a record quality audit and numeric ordering on join coverage data (matched_rows, source_rows) in a single call for up to 200 rows, without needing external data lookups or live predictions. Ideal for ETL pipeline validation, data engineering workflows, and post-join diagnostics where you want two complementary analytical views on the same dataset at minimal cost ($0.01 for both reports).
Side effects
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) cause validation errors
- More than 200 rows submitted — request exceeds maxItems limit
- Invalid date format (non-YYYY-MM-DD) rejected by pattern validation
- Field selector not one of the allowed enum values ('matched_rows' or 'source_rows')
- Empty rows array (minItems:1 not satisfied)
- Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) rejected
- Payment failure or insufficient USDC balance for the $0.01 per-call fee
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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