{"uid":"cap__wISCbK20xDrB9CUXV7i-","slug":"validation-rule-results-analytics-numeric-row-ordering-two-measure-c1801f45","name":"Validation Rule Results Analytics: Numeric Row Ordering + Two-Measure Correlation","description":"Validation rule results — Numeric row ordering + Two-measure correlation: Numeric row ordering + Two-measure correlation 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-08-120?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"}}},"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_2samMqH8oPNygatt98bD_","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":"Analyzes supplied validation rule result records (passed_rules, total_rules) by computing numeric row ordering and two-measure correlation across up to 200 rows.","exampleAgentPrompt":"Analyze my validation rule results — I have 150 rows with passed_rules and total_rules values across two dataset groups, and I want both numeric row ordering and a two-measure correlation report on the passed_rules field.","exampleUseCases":[{"title":"Data quality audit across pipeline groups","prompt":"I have 80 rows of validation results from my ETL pipeline, each tagged with a dataset_group and date, with passed_rules and total_rules counts — can you run numeric row ordering and correlation analysis on the passed_rules field so I can see how rule compliance ranks and whether the two measures move together?"},{"title":"Monthly compliance trend correlation check","prompt":"Here are 120 validation rule result records from October through December, with passed_rules and total_rules per row. Run the numeric ordering and two-measure correlation reports on total_rules so I can understand the trend and relationship between my compliance metrics."},{"title":"Cross-group rule pass rate analysis","prompt":"I've got validation results across group-a and group-b with 50 rows each — can you compute the numeric row ordering and correlation between passed_rules and total_rules so I can compare rule adherence patterns between the two groups?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric row ordering report ranking the supplied rows by the selected measure, and (2) a two-measure correlation report quantifying the statistical relationship between passed_rules and total_rules across up to 200 supplied rows. All analysis is performed on the supplied data with no external lookups.","failureModes":["Exceeding 200 row limit returns an error","Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) cause validation failure","Invalid date format (non-YYYY-MM-DD) triggers schema rejection","Null values in both measure fields may degrade correlation computation","Providing fewer than 2 rows may yield degenerate or meaningless correlation results"],"whenToPreferThis":"Choose this endpoint when you have tabular validation rule result data (passed_rules and total_rules per row) and need both a ranked ordering of rows by a numeric measure and a statistical correlation between the two measures — all computed locally on your supplied data with no external API calls, predictions, or side effects. Ideal for data quality teams auditing rule compliance metrics across dataset groups and date ranges within a 200-row batch.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T12:51:39.526Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-analytics-numeric-row-ordering-two-measure-c1801f45"}