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CI Records Quality Audit + Numeric Row Ordering
x402
CI Records Quality Audit + 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 2026-11-02).
Audits data quality and applies numeric row ordering to up to 200 continuous integration records (build_seconds or test_count) using local analytical engines, returning two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Continuous integration — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering for supplied continuous integration records (build_seconds, test_count). 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: (1) a record quality audit flagging data completeness, validity, and anomalies across the supplied CI rows; and (2) a numeric row ordering report ranking rows by the selected field (build_seconds or test_count). Results are computed locally with no external lookups.
Example use cases
CI pipeline data quality check
“I have 120 CI build records with columns row_id, component, date, build_seconds, and test_count — can you run a record quality audit plus numeric row ordering on them sorted by build_seconds so I can spot missing or bad data?”
Test count ranking for component comparison
“Can you audit the quality of my 80 continuous integration records and rank them numerically by test_count? The rows include row_id, component, date, build_seconds, and test_count — I want two separate reports back.”
Detecting anomalies in build duration data
“Run a data quality audit and numeric ordering analysis on these 200 CI build rows using the build_seconds field — I want to see which rows have quality issues and how they rank numerically.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-01-007?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a numeric row ordering report on CI build records (build_seconds or test_count) in a single affordable call. It is best suited for batch analysis of up to 200 rows using offline analytical engines — not for real-time monitoring, predictions, or external data enrichment.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, component, date, build_seconds, test_count) cause row rejection
- Invalid date format (non YYYY-MM-DD) triggers schema validation failure
- Null or out-of-range numeric values may be flagged or excluded from ordering
- Empty rows array returns an error due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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