{"uid":"cap_xfdbWAVq5mcUpfwUVm0TR","slug":"validation-rule-results-record-quality-audit-numeric-interval-filter-f21ca526","name":"Validation Rule Results — Record Quality Audit + Numeric Interval Filter","description":"Validation rule results — Record quality audit + Numeric interval filter: Record quality audit + Numeric interval filter 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-08-008?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_-LT7SehN-46nkhZNahH_0","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 validation rule result records: a record quality audit and a numeric interval filter on passed_rules or total_rules values, for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and interval filter on my validation rule results? I have up to 50 rows with passed_rules and total_rules values — filter on the passed_rules field between 5 and 100, across dataset groups like 'group-a' and 'group-b' with dates starting 2025-01-01.","exampleUseCases":[{"title":"ETL pipeline quality gate check","prompt":"I just ran my ETL validation pipeline and got results for 120 rows across three dataset groups. Can you audit their record quality and filter the passed_rules field to show only rows where the value is between 10 and 500? Dates are from 2025-03-01 onward."},{"title":"Data governance compliance review","prompt":"We need to review our validation rule results for the 'compliance-dataset' group — audit the record quality and then filter total_rules between 1 and 50 to flag any anomalies across the 80 rows we collected in January 2025."},{"title":"Threshold-based rule failure detection","prompt":"Can you check my validation results for rows where passed_rules is outside the expected range of 0 to 20? I have 30 rows from the 'risk-scoring' dataset group dated between 2025-06-01 and 2025-06-30, and I want a quality audit alongside the interval filter."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit summarizing completeness, nulls, and anomalies across the supplied rows, and (2) a numeric interval filter report listing which rows fall within the specified minimum–maximum range for the chosen field (passed_rules or total_rules). Covers up to 200 input rows per call.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) causes validation error","Minimum value greater than maximum value may yield empty filter results","Null or missing required fields (row_id, dataset_group, date) cause row-level errors","Non-numeric values for passed_rules or total_rules cause schema rejection","Field enum value not 'passed_rules' or 'total_rules' causes parameter error"],"whenToPreferThis":"Choose this endpoint when you have pre-collected validation rule result records (with passed_rules and total_rules numeric fields) and need both a quality audit and a numeric range filter in a single call without any external data lookup or live computation. It is ideal for offline/batch data governance workflows where you supply your own rows and want local analytical processing only. Not suitable for real-time validation, prediction, or fetching external data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T00:37:09.899Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-record-quality-audit-numeric-interval-filter-f21ca526"}