{"uid":"cap_Mk03luo63GJLdroc-Zw62","slug":"schema-conformity-record-quality-audit-numeric-interval-filter-b0e6e6b6","name":"Schema Conformity Record Quality Audit + Numeric Interval Filter","description":"Schema conformity — Record quality audit + Numeric interval filter: Record quality audit + Numeric interval filter for supplied schema conformity records (valid_records, checked_records). 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-02-008?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","valid_records","checked_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"valid_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"checked_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","valid_records":10,"checked_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","valid_records":20,"checked_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","valid_records":15,"checked_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","valid_records":30,"checked_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["valid_records","checked_records"],"type":"string","default":"valid_records"},"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_w9Acy6GRCDCSfngusbOMl","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":"Audits schema conformity records for data quality and filters rows by a numeric interval across valid_records or checked_records fields, returning two independent analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and numeric interval filter on my schema conformity data — I have rows with valid_records and checked_records fields across groups like 'group-a' and 'group-b', and I want to filter on valid_records between 10 and 150, checking up to 200 rows total?","exampleUseCases":[{"title":"Daily conformity batch quality check","prompt":"I have 80 rows of schema conformity data from yesterday's pipeline runs, each with a row_id, dataset_group, date, valid_records, and checked_records. Can you audit them for quality issues and also filter to show me which rows have valid_records between 0 and 500?"},{"title":"Out-of-range checked_records detection","prompt":"Run a quality audit on my conformity records and filter on checked_records — I want to see which of my 120 rows have checked_records values between 5 and 1000, and flag any that look like data quality problems."},{"title":"Multi-group schema conformity analysis","prompt":"I'm comparing schema conformity across two dataset groups over the past month — about 150 rows total with valid_records and checked_records per day. Can you do a record quality audit and filter valid_records between 50 and 300 to help me spot anomalies?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying issues, anomalies, or invalid entries across the supplied conformity rows, and (2) a numeric interval filter report classifying which rows have the selected field (valid_records or checked_records) within the specified minimum–maximum bounds. Both reports operate on the same supplied dataset of up to 200 rows using local analytical engines with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, valid_records, checked_records) causes rejection","Date field not matching YYYY-MM-DD pattern triggers schema validation failure","minimum greater than maximum may produce empty filter results or an error","Null values in valid_records or checked_records may be flagged or excluded from interval filter"],"whenToPreferThis":"Choose this endpoint when you need both a structural data quality audit and a numeric range filter on schema conformity records in a single $0.01 call. It is ideal for data governance pipelines, QA workflows, or monitoring jobs where you have pre-collected valid_records and checked_records data and want two simultaneous analytical perspectives — quality assessment plus interval classification — without any external API calls or live data lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T00:47:03.031Z","isFirstParty":false,"canonicalSlug":"schema-conformity-record-quality-audit-numeric-interval-filter-b0e6e6b6"}