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Test Coverage Analytics: Record Quality Audit + String Normalisation + Category Frequencies
x402
Test Coverage Analytics: Record Quality Audit + String Normalisation + Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Runs three local analytical reports on test coverage data (covered_lines, total_lines): record quality audit, string normalisation, and category frequency analysis — no external lookups or predictions.
Price / call$0.01
Success—
StatusUnknown
How this service works
Test coverage — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies for supplied test coverage records (covered_lines, total_lines). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports: (1) a record quality audit flagging missing, null, or out-of-range values in covered_lines and total_lines; (2) a string normalisation report standardising component name strings; and (3) a category frequency report counting occurrences per component/category — all computed locally without external lookups, for up to 200 input rows.
Example use cases
CI pipeline coverage data audit
“I've got 80 rows of test coverage data from our CI runs this month — component names, dates, covered_lines and total_lines. Can you audit them for quality issues, normalise the component name strings, and give me a frequency breakdown by component?”
Sprint coverage category summary
“We finished our sprint and I have coverage records for components like 'user-auth', 'checkout-flow', and 'api-gateway' with their covered and total line counts. Can you run a record quality audit and tell me the category frequencies so I know which components have the most data points?”
Legacy codebase coverage cleanup
“I'm cleaning up legacy test coverage exports — about 150 rows with component names that might be inconsistently formatted, plus covered_lines and total_lines for each. Please normalise the strings, audit the record quality, and show me the category frequencies so I can spot gaps.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-10-195?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined local analytics reports (quality audit + string normalisation + category frequencies) on test coverage tabular data in a single cheap call ($0.01 USDC), without needing live lookups, ML predictions, or external integrations. Ideal for CI/CD pipelines, sprint retrospectives, or data cleaning workflows where covered_lines and total_lines are the primary metrics and batch size is under 200 rows.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, component, date, covered_lines, total_lines) cause row-level validation errors
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- Null numeric values may reduce audit accuracy for coverage metrics
- Payment not processed — endpoint requires 0.01 USDC per call via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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