{"uid":"cap_owL2dioTn9XIcfxtg4039","slug":"test-coverage-string-normalisation-and-iqr-outlier-flags-analyzer-ac178a6e","name":"Test Coverage String Normalisation and IQR Outlier Flags Analyzer","description":"Test coverage — String normalisation + IQR outlier flags: String normalisation + IQR outlier flags 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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-software-10-032?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},"field":{"enum":["covered_lines","total_lines"],"type":"string","default":"covered_lines"}}},"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_nNmzhgSbHNZeXh4vpnZx8","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":"Applies string normalisation and IQR-based outlier flagging to up to 200 test coverage records (covered_lines or total_lines), returning two independent analytical reports.","exampleAgentPrompt":"Can you run string normalisation and IQR outlier detection on my test coverage data — I have about 50 rows with component names, dates, and covered_lines counts — and give me the two reports?","exampleUseCases":[{"title":"Outlier detection in CI coverage metrics","prompt":"I have 120 test coverage records from my CI pipeline with covered_lines and total_lines per component and date — can you flag any IQR outliers in the covered_lines field and also normalise the component name strings?"},{"title":"Coverage data quality audit before reporting","prompt":"Before I generate my quarterly test coverage report, can you run string normalisation and IQR outlier flagging on these 80 coverage rows so I can catch any bad data or anomalous line counts?"},{"title":"Comparing coverage anomalies across components","prompt":"I've got coverage data for three components over 60 days — can you normalise the component strings and flag outlier rows by total_lines using IQR so I can see which components have unusual coverage readings?"}],"resultDescription":"Returns two independent analytical reports: one covering string normalisation of component and related text fields, and one providing IQR-based outlier flags for the selected numeric field (covered_lines or total_lines) across up to 200 supplied rows. No external lookups or predictions are made — all analysis uses local engines on the supplied data.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, covered_lines, total_lines) — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","Null or non-numeric values in covered_lines/total_lines may affect IQR computation","Invalid enum value for field parameter (must be 'covered_lines' or 'total_lines')"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and IQR outlier detection applied together to software test coverage records in a single low-cost call. It is purpose-built for coverage data (covered_lines, total_lines) and returns two distinct analytical reports for $0.01 USDC. Prefer it over general-purpose analytics APIs when your dataset is under 200 rows and you want offline, deterministic analysis without any external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:56:55.037Z","isFirstParty":false,"canonicalSlug":"test-coverage-string-normalisation-and-iqr-outlier-flags-analyzer-ac178a6e"}