{"uid":"cap_gdbTV9XvgbsJ1Teyq2rrG","slug":"validation-rule-results-record-quality-audit-numeric-row-ordering-15b9b69a","name":"Validation Rule Results — Record Quality Audit & Numeric Row Ordering","description":"Validation rule results — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering 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-08-007?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_GPiG7k3hfDgKyAzYm92Tf","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":"Runs two local analytical reports on supplied validation rule result records: a record quality audit and numeric row ordering, for up to 200 rows of passed_rules/total_rules data.","exampleAgentPrompt":"Audit the quality of my validation rule results and rank them numerically — I have up to 50 rows with row IDs, dataset groups, dates, and both passed_rules and total_rules counts; run both the record quality audit and numeric row ordering on the passed_rules field.","exampleUseCases":[{"title":"Dataset group compliance comparison","prompt":"I have 80 validation records across two dataset groups — 'pipeline-a' and 'pipeline-b' — with dates and passed_rules and total_rules counts for each row. Can you run a record quality audit and rank them by passed_rules so I can see which group is performing better?"},{"title":"Daily rule pass rate ordering","prompt":"Here are 120 rows of daily validation results from October 2026, each with a row ID, dataset group, date, passed_rules, and total_rules. Please run the numeric row ordering on total_rules so I can see which days had the most rules evaluated."},{"title":"Spotting low-quality validation records","prompt":"I want to find the weakest records in my validation dataset — I have 40 rows with passed_rules and total_rules values across several groups. Run the record quality audit on passed_rules and give me the ordering so I can flag the poor performers."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit assessing the supplied validation rule result records based on passed_rules and total_rules fields, and (2) a numeric row ordering ranking the rows by the selected field (passed_rules or total_rules). Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) on any row — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","Invalid field selector (not 'passed_rules' or 'total_rules') — enum validation error","Null numeric values may affect ordering results","Payment not received or insufficient USDC — request not processed"],"whenToPreferThis":"Choose this endpoint when you have batches of validation rule result records (up to 200 rows) and need both a quality audit and numeric ordering in a single low-cost call. It is ideal for data engineering teams tracking rule compliance across dataset groups over time. Prefer this over generic analytics tools when you specifically have passed_rules/total_rules structured data and want two bundled local reports without any external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T00:37:19.082Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-record-quality-audit-numeric-row-ordering-15b9b69a"}