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Test Coverage Record Quality Audit and Duplicate Key Report
x402
Test Coverage Record Quality Audit and Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Runs two local analytical reports on test coverage records: a record quality audit and a duplicate key detection report, for up to 200 rows of covered_lines/total_lines data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Test coverage — Record quality audit + Duplicate key report: Record quality audit + Duplicate key report for supplied test coverage records (covered_lines, total_lines). 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 flagging issues such as null values, out-of-range numbers, malformed dates, or invalid field content in the covered_lines and total_lines fields; and (2) a duplicate key report identifying rows that share the same key fields (e.g. row_id or component+date combinations). Both reports are generated locally without any external lookups.
Example use cases
Pre-import coverage data validation
“Before I load these 50 test coverage rows into our dashboard, can you run a quality audit and duplicate key check on them? Here are the records with row IDs, component names, dates, and covered_lines/total_lines values.”
CI pipeline coverage log audit
“Our CI pipeline generated today's test coverage log with 120 rows — each has a row_id, component, date, covered_lines, and total_lines. Can you audit them for data quality problems and flag any duplicate row IDs?”
Monthly coverage report deduplication
“I've pulled 180 rows of monthly test coverage data across our components and I need to know if there are any duplicate keys or bad records before I send the report. Each row has a row_id, component, date, covered_lines, and total_lines — can you run the quality audit and duplicate key report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-10-003?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, offline data quality checks on test coverage records specifically — it runs two reports (quality audit + duplicate detection) in a single call for $0.01, making it cost-effective for batch validation of up to 200 rows. Prefer this over general-purpose data tools when your data is structured around covered_lines/total_lines metrics with row_id, component, and date fields.
Side effects
- Exceeding 200 rows causes rejection — trim input to 200 rows or fewer
- Missing required fields (row_id, component, date, covered_lines, total_lines) causes validation failure
- Malformed date strings not matching YYYY-MM-DD pattern cause schema rejection
- Empty rows array (minItems:1 not satisfied) returns an error
- Numeric fields outside allowed range cause schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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