{"uid":"cap_B6HSxUEfjTMqsz5AXUdAx","slug":"test-coverage-data-cleaner-exact-row-deduplication-explicit-missing-ee14f27c","name":"Test Coverage Data Cleaner — Exact Row Deduplication + Explicit Missing-Value Fill","description":"Test coverage — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill 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-10-054?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_ogiNpeUdlD7WgfVGOHdaz","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 fills missing values in test coverage records (covered_lines, total_lines) for up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"Can you deduplicate and fill missing covered_lines values (using median) in my test coverage dataset — I have about 150 rows with fields like row_id, component, date, covered_lines, and total_lines, and some rows are duplicated or have nulls?","exampleUseCases":[{"title":"Clean CI pipeline coverage reports","prompt":"I have 120 rows of test coverage data from our CI pipeline with some duplicate entries and missing covered_lines values — can you deduplicate the exact duplicates and fill the missing covered_lines using the median method?"},{"title":"Fix null total_lines before dashboard load","prompt":"Before I load our test coverage metrics into the dashboard, I need to remove duplicate rows and fill in any null total_lines values using zero fill — I have about 80 records with row_id, component, date, covered_lines, and total_lines fields."},{"title":"Prepare coverage data for trend analysis","prompt":"I want to run a trend analysis on our component test coverage but my dataset has duplicate records and some missing covered_lines — can you deduplicate and impute the missing values using mean for the covered_lines field across my 200 rows?"}],"resultDescription":"Two analytical reports summarizing the results of exact row deduplication and explicit missing-value fill applied to the submitted test coverage records, using the specified fill method (zero, mean, or median) on the target field (covered_lines or total_lines).","failureModes":["Exceeds 200-row limit — request rejected","Invalid date format (must be YYYY-MM-DD) — validation error","Missing required fields (row_id, component, date) — schema validation failure","Numeric values outside allowed range — validation error","Empty rows array — minItems violation"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local analytical processing of test coverage records specifically — deduplication of exact duplicate rows plus missing-value imputation — without any external lookup, prediction, or live data. Ideal for small-to-medium datasets (up to 200 rows) where you want two clean summary reports at minimal cost ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:50:21.300Z","isFirstParty":false,"canonicalSlug":"test-coverage-data-cleaner-exact-row-deduplication-explicit-missing-ee14f27c"}