{"uid":"cap_lqJgl2fgktTPlZ7X95NqP","slug":"validation-rule-results-grouped-numeric-summary-two-measure-correlation-a38b2aa8","name":"Validation Rule Results — Grouped Numeric Summary + Two-Measure Correlation","description":"Validation rule results — Grouped numeric summary + Two-measure correlation: Grouped numeric summary + 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-08-095?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_9SycsdGFXB_EtUBNU3qTa","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 a grouped numeric summary and a two-measure correlation report for validation rule result data (passed_rules, total_rules) across up to 200 rows.","exampleAgentPrompt":"Can you run a grouped numeric summary and correlation report on my validation rule results? I have 4 rows across two dataset groups (group-a and group-b) with dates from 2026-10-01 to 2026-10-04, and I want to analyze the passed_rules field.","exampleUseCases":[{"title":"Data quality dashboard by pipeline stage","prompt":"I have validation results for 50 rows across 5 pipeline dataset groups with dates from 2025-01-01 to 2025-01-31 — can you give me a grouped numeric summary and correlation between passed_rules and total_rules so I can see which groups are underperforming?"},{"title":"Rule compliance trend correlation analysis","prompt":"Run a grouped summary and two-measure correlation on my validation rule data — I've got 120 rows tagged across three dataset groups covering Q1 2025, and I want to understand if higher total_rules counts correlate with lower pass rates."},{"title":"Weekly validation audit summary for data team","prompt":"Can you compute a grouped numeric summary and correlation report for our weekly validation rule results? I have 80 rows across four dataset groups dated between 2025-03-01 and 2025-03-07, focusing on the total_rules field."}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary of the selected measure (passed_rules or total_rules) broken down by dataset_group, and (2) a two-measure correlation analysis between passed_rules and total_rules across the supplied rows. Both reports are computed locally on the submitted data with no external lookups.","failureModes":["Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) causes validation error","Date values not matching YYYY-MM-DD pattern are rejected","Submitting more than 200 rows exceeds the row limit and returns an error","Empty rows array is not accepted (minItems: 1)","Null numeric values in both passed_rules and total_rules may reduce correlation reliability","Invalid field enum value (anything other than passed_rules or total_rules) causes request rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of validation rule result records and need both a grouped descriptive summary and a correlation between two numeric measures (passed_rules and total_rules) in a single low-cost call. Ideal for data quality monitoring workflows, pipeline audits, and compliance dashboards where you want to understand group-level performance and inter-metric relationships without external data lookups or model predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:41:35.898Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-grouped-numeric-summary-two-measure-correlation-a38b2aa8"}