{"uid":"cap_40r4goVAgeWpqiJC6ydwz","slug":"test-coverage-data-quality-exact-row-deduplication-iqr-outlier-flags-4ca4c0d4","name":"Test Coverage Data Quality — Exact Row Deduplication + IQR Outlier Flags","description":"Test coverage — Exact row deduplication + IQR outlier flags: Exact row deduplication + 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-10-049?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_DwtdTALv0tlPC5X9zThTw","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":"Deduplicates exact duplicate rows and flags IQR-based outliers in test coverage records (covered_lines, total_lines) for up to 200 rows, returning 2 independent analytical reports.","exampleAgentPrompt":"Can you run deduplication and IQR outlier detection on these test coverage records? I have up to 50 rows with row_id, component, date, covered_lines, and total_lines — check the covered_lines field for outliers and remove any exact duplicate rows.","exampleUseCases":[{"title":"CI pipeline coverage data audit","prompt":"I've got a batch of test coverage records from our CI runs — up to 80 rows with row_id, component, date, covered_lines, and total_lines. Can you deduplicate exact duplicate rows and flag any outliers in covered_lines using IQR so I can spot anomalous builds?"},{"title":"Spotting bad total_lines entries across components","prompt":"We have around 120 test coverage rows across multiple components and I suspect some total_lines values are wildly off. Can you run IQR outlier detection on total_lines and also strip out any exact duplicate records from the dataset?"},{"title":"Pre-merge coverage data cleanup","prompt":"Before I merge this branch I want to clean up our coverage metrics — I have about 30 rows with row_id, component, date, covered_lines and total_lines. Please deduplicate any exact duplicate rows and flag IQR outliers in covered_lines so I know what to investigate."}],"resultDescription":"Returns 2 independent analytical reports: one identifying exact duplicate rows in the submitted dataset, and one flagging rows whose selected numeric field (covered_lines or total_lines) falls outside the IQR-based outlier boundaries. Reports include which rows were flagged and the computed thresholds used.","failureModes":["Fewer than 1 row submitted — minimum row count not met","More than 200 rows submitted — exceeds maximum batch size","Missing required fields (row_id, component, date, covered_lines, total_lines) — validation error","Date field does not match YYYY-MM-DD pattern — schema rejection","Non-numeric or out-of-range values for covered_lines or total_lines — schema error","Too few distinct values to compute meaningful IQR — degenerate statistical result"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, local-analytical pass over test coverage records to simultaneously remove duplicate rows and identify statistical outliers in coverage metrics — without any external lookups, predictions, or state changes. Ideal for pre-processing CI/CD coverage data before aggregation or reporting, especially when cost sensitivity matters (batch of 2 reports for $0.01).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:49:25.191Z","isFirstParty":false,"canonicalSlug":"test-coverage-data-quality-exact-row-deduplication-iqr-outlier-flags-4ca4c0d4"}