{"uid":"cap_6RTEZ-eU7iwexGEJHXmMt","slug":"test-coverage-correlation-missing-value-fill-3a71fac7","name":"Test Coverage Correlation & Missing-Value Fill","description":"Test coverage — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + 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-10-184?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_8plpysH7s8vxX28padQRj","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":"Computes two-measure correlation and fills missing values for supplied test coverage records (covered_lines, total_lines) across up to 200 rows.","exampleAgentPrompt":"I have test coverage records for my components — can you compute the correlation between covered_lines and total_lines and fill any missing values using median imputation? I've got about 50 rows covering multiple components across the last quarter.","exampleUseCases":[{"title":"CI pipeline coverage correlation check","prompt":"I have daily test coverage data for our frontend and backend components — can you run a correlation analysis between covered_lines and total_lines and fill any gaps using median so I can see if they track together?"},{"title":"Missing coverage data imputation before reporting","prompt":"Some of my test coverage rows are missing covered_lines values — can you fill those in using mean imputation and also give me the correlation report between covered_lines and total_lines for all 120 rows?"},{"title":"Multi-component code quality audit","prompt":"I want to analyze the relationship between covered and total lines across our 5 software components over October — can you compute the two-measure correlation and use zero-fill for any missing total_lines values in my dataset?"}],"resultDescription":"Returns two independent analytical reports: (1) a correlation result between the two numeric measures (covered_lines and total_lines) across the supplied rows, and (2) the dataset with missing values filled using the specified method (zero, mean, or median). Up to 200 rows processed locally without external lookups.","failureModes":["Fewer than 1 row supplied returns an error","More than 200 rows causes rejection","Invalid date format (not YYYY-MM-DD) fails schema validation","Missing required fields (row_id, component, date) causes validation failure","Non-numeric values where numbers are expected may cause computation errors","Insufficient non-null data points may prevent meaningful correlation computation"],"whenToPreferThis":"Choose this endpoint when you have tabular test coverage data (covered_lines, total_lines) and need both a statistical correlation between those two measures and missing-value imputation in a single call, at low cost ($0.01 USDC for both reports). Prefer this over generic stats tools when your data fits the software coverage schema and you need a bundled two-report output without external API dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:53.726Z","isFirstParty":false,"canonicalSlug":"test-coverage-correlation-missing-value-fill-3a71fac7"}