{"uid":"cap_KIah193DlG_gvIDIZ85Fd","slug":"validation-rule-results-record-quality-audit-numeric-distribution-59718010","name":"Validation Rule Results — Record Quality Audit & Numeric Distribution","description":"Validation rule results — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution 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-08-004?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_-wwHLOUdmI1oDlv0ew7IM","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 (record quality audit and numeric distribution) on up to 200 rows of validation rule result data (passed_rules, total_rules).","exampleAgentPrompt":"Run a record quality audit and numeric distribution report on my validation rule results — I have 50 rows with fields row_id, dataset_group, date, passed_rules, and total_rules — analyze the passed_rules field.","exampleUseCases":[{"title":"Data pipeline validation quality audit","prompt":"I just ran my ETL pipeline validation and collected results for 120 rows across two dataset groups — can you give me a record quality audit and numeric distribution of the passed_rules field so I can see how well my data is passing validation checks?"},{"title":"Rule compliance distribution across groups","prompt":"I have a batch of 80 validation records with passed_rules and total_rules values across three dataset groups from last month — run a quality audit and distribution report on total_rules so I can understand where compliance is weakest."},{"title":"Daily data quality snapshot for monitoring","prompt":"Here are today's 30 validation rule result rows with row_id, date, dataset_group, passed_rules, and total_rules — can you produce a record quality audit and numeric distribution on passed_rules so I can track our daily data quality trend?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit summarizing data completeness, nulls, and anomalies across the submitted rows, and (2) a numeric distribution profile of the selected field (passed_rules or total_rules), including statistics such as min, max, mean, and frequency distribution — all computed locally with no external data lookups.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — exceeds limit, request rejected","Invalid date format (not YYYY-MM-DD) — schema validation error","Numeric values outside allowed range (-1T to +1T) — schema error","Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) — validation failure","Invalid field selector (not 'passed_rules' or 'total_rules') — enum error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of validation rule result records and need both a quality audit (record completeness, null checks) and a numeric distribution profile in a single low-cost call ($0.01 USDC). Ideal for data engineers and analytics pipelines that want lightweight, offline statistical profiling of rule pass/fail data without any external lookups or live integrations. Prefer this over general-purpose analytics APIs when the data is already structured with passed_rules and total_rules fields and you need fast, cheap, self-contained analysis.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T00:37:12.922Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-record-quality-audit-numeric-distribution-59718010"}