{"uid":"cap_ryjF1vmYQSszw6ujtMqQ_","slug":"test-coverage-analytics-record-quality-audit-string-normalisation-fb38e40f","name":"Test Coverage Analytics: Record Quality Audit + String Normalisation + Category Frequencies","description":"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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-software-10-195?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","component","date","covered_lines","total_lines"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"component":{"type":"string","default":"","maxLength":80},"total_lines":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"covered_lines":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","component":"group-a","total_lines":1,"covered_lines":10},{"date":"2026-10-02","row_id":"row-2","component":"group-b","total_lines":2,"covered_lines":20},{"date":"2026-10-03","row_id":"row-3","component":"group-a","total_lines":3,"covered_lines":15},{"date":"2026-10-04","row_id":"row-4","component":"group-b","total_lines":4,"covered_lines":30}],"maxItems":200,"minItems":1}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_iKHzsnlX2wLCkI-PJHWIY","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"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.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and category frequency report on my test coverage data? I have rows for components like 'auth-service' and 'payment-module' with covered_lines and total_lines values across dates in October 2026 — up to 50 rows.","exampleUseCases":[{"title":"CI pipeline coverage data audit","prompt":"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?"},{"title":"Sprint coverage category summary","prompt":"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?"},{"title":"Legacy codebase coverage cleanup","prompt":"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."}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:24.170Z","isFirstParty":false,"canonicalSlug":"test-coverage-analytics-record-quality-audit-string-normalisation-fb38e40f"}