{"uid":"cap_DjpIS7_ick26UHLRAjsQ0","slug":"validation-rule-results-two-measure-correlation-explicit-missing-cc88a040","name":"Validation Rule Results — Two-Measure Correlation + Explicit Missing-Value Fill","description":"Validation rule results — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill for supplied validation rule results records (passed_rules, total_rules). 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-analytics-08-184?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","passed_rules","total_rules"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_rules":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"passed_rules":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_rules":1,"passed_rules":10,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","total_rules":2,"passed_rules":20,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","total_rules":3,"passed_rules":15,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","total_rules":4,"passed_rules":30,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["passed_rules","total_rules"],"type":"string","default":"passed_rules"},"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_XrcQ4CirdPiVkePA5MLiE","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 the correlation between passed_rules and total_rules, and fills missing values using a chosen strategy (zero, mean, or median), for up to 200 supplied validation rule result rows.","exampleAgentPrompt":"I have up to 200 rows of validation rule results with passed_rules and total_rules columns — can you compute the correlation between those two measures and fill any missing values using median imputation, then give me both reports?","exampleUseCases":[{"title":"Data quality pipeline pre-check","prompt":"Before I run my ETL pipeline, I want to check whether passed_rules and total_rules are closely correlated in my latest batch of 150 validation records, and I need any nulls in passed_rules filled using the mean. Can you run both analyses?"},{"title":"Missing value imputation for reporting","prompt":"I have a dataset of 80 validation rule results with some missing total_rules values — please fill those gaps using zero imputation and also show me the correlation between passed_rules and total_rules across all the rows."},{"title":"Multi-group rule result analytics","prompt":"I've got validation rule result rows for two dataset groups, group-a and group-b, spanning October 2026, and some entries have null passed_rules. Fill the nulls with median and tell me how correlated passed_rules and total_rules are across all groups."}],"resultDescription":"Returns two independent analytical reports: (1) a two-measure correlation result quantifying the statistical relationship between passed_rules and total_rules across supplied rows, and (2) a transformed dataset with missing values in the selected field filled using the specified strategy (zero, mean, or median). Up to 200 input rows are processed per call.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema rejection","Invalid enum value for method or field — schema rejection","Fewer than the minimum 1 row supplied — rejected","Numeric values outside allowed range (±1,000,000,000,000) — rejected"],"whenToPreferThis":"Choose this endpoint when you need both missing-value imputation and correlation analysis in a single call on validation rule result data (passed_rules, total_rules), without any external lookup or prediction. Ideal for data quality pipelines needing offline, deterministic, local-engine analytics on small batches (≤200 rows) at minimal cost ($0.01 USDC for both reports). Prefer alternatives if you need more than 200 rows, live data retrieval, or additional statistical operations beyond correlation and fill.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T12:48:41.952Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-two-measure-correlation-explicit-missing-cc88a040"}