{"uid":"cap_v2UxJqiv3i-y6zxoouEwI","slug":"test-coverage-string-normalisation-and-missing-value-fill-a4f6c92a","name":"Test Coverage String Normalisation and Missing-Value Fill","description":"Test coverage — String normalisation + Explicit missing-value fill: String normalisation + 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-10-037?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_vz3P8KFLof3ZNz7FuklxV","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":"Normalises string fields and fills missing values for test coverage records (covered_lines, total_lines) across up to 200 rows using local analytical engines.","exampleAgentPrompt":"I have 80 test coverage records with some null covered_lines values — can you normalise the string fields and fill those missing values using median imputation?","exampleUseCases":[{"title":"CI pipeline coverage data cleanup","prompt":"My CI pipeline exports test coverage data for about 120 components but several rows have null covered_lines values. Can you clean the strings and fill the missing covered_lines using median imputation?"},{"title":"Impute missing total_lines with zero","prompt":"I've got 50 test coverage rows where total_lines is missing for some entries. Please normalise the string fields and fill all null total_lines with zero so the dataset is complete."},{"title":"Prep coverage records for dashboard","prompt":"Before I load my test coverage data into the dashboard I need to normalise the component name strings and fill missing covered_lines using mean — the dataset has about 200 rows across groups group-a and group-b."}],"resultDescription":"Returns 2 analytical reports covering string-normalised fields and explicitly filled missing values for the specified field (covered_lines or total_lines) across the submitted rows, using the chosen fill method (zero, mean, or median). No external lookups or predictions are made; all processing is local.","failureModes":["Exceeds 200-row limit — request rejected","Missing required fields (row_id, date, component) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Invalid field enum value (not covered_lines or total_lines) — error","Invalid method enum (not zero/mean/median) — error","Empty rows array — minItems violation"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local string normalisation and missing-value imputation specifically for test coverage records (covered_lines/total_lines) with up to 200 rows and no need for external data, live predictions, or professional assessment. Ideal for pre-processing pipeline steps before analytics or dashboarding.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:50:26.323Z","isFirstParty":false,"canonicalSlug":"test-coverage-string-normalisation-and-missing-value-fill-a4f6c92a"}