{"uid":"cap_C4Vog0LAVanLIZHklurfN","slug":"record-routing-record-quality-audit-numeric-interval-filter-d0834a0b","name":"Record Routing — Record Quality Audit + Numeric Interval Filter","description":"Record routing — Record quality audit + Numeric interval filter: Record quality audit + Numeric interval filter for supplied record routing records (accepted_records, rejected_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-19-008?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","accepted_records","rejected_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},"accepted_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"rejected_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","accepted_records":10,"rejected_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","accepted_records":20,"rejected_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","accepted_records":15,"rejected_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","accepted_records":30,"rejected_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["accepted_records","rejected_records"],"type":"string","default":"accepted_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_0lDXzSMaumVbjSNdqeJ5i","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 a record quality audit and a numeric interval filter on up to 200 rows of record routing data (accepted_records, rejected_records), returning 2 independent analytical reports.","exampleAgentPrompt":"Can you audit the quality of my record routing data and filter rows where accepted_records falls between 5 and 50? Here are my rows: row-1 on 2026-10-01 in group-a with 10 accepted and 1 rejected, row-2 on 2026-10-02 in group-b with 60 accepted and 2 rejected, row-3 on 2026-10-03 in group-a with 3 accepted and 0 rejected.","exampleUseCases":[{"title":"ETL pipeline record quality check","prompt":"I have a batch of record routing rows from last week across group-a and group-b. Run a quality audit on the accepted_records and rejected_records, and also filter to show me only rows where accepted_records is between 10 and 100."},{"title":"Rejected records threshold monitoring","prompt":"Can you audit my routing dataset for quality issues and filter out any rows where rejected_records falls outside the range of 0 to 5? I want to flag anything anomalous in my daily routing logs."},{"title":"Dataset group comparison by acceptance rate","prompt":"I want to check the quality of my record routing data for dataset groups alpha and beta, and see which rows have accepted_records values between 20 and 200. Here are my 8 rows with dates ranging from 2026-09-01 to 2026-09-08."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit covering completeness, validity, and anomaly flags across the supplied rows' accepted_records and rejected_records fields, and (2) a numeric interval filter report identifying which rows fall within (or outside) the specified minimum–maximum range for the chosen field.","failureModes":["Empty or missing rows array returns a validation error","More than 200 rows submitted exceeds the limit and will be rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","minimum greater than maximum may produce empty filter results or an error","Non-numeric values in accepted_records or rejected_records when not null cause schema rejection","Payment failure (insufficient USDC balance) results in 402 response"],"whenToPreferThis":"Choose this endpoint when you need both a record quality audit and a numeric interval filter applied to record routing data in a single API call for up to 200 rows. It is ideal for ETL pipeline validation, data ingestion quality gates, and flagging out-of-range acceptance or rejection counts without requiring external lookups or predictions. It is not suitable for datasets exceeding 200 rows, real-time monitoring, or tasks requiring external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:26.441Z","isFirstParty":false,"canonicalSlug":"record-routing-record-quality-audit-numeric-interval-filter-d0834a0b"}