{"uid":"cap_jsFePhZWPPDNsN3al-mZ-","slug":"record-routing-quality-audit-numeric-distribution-analytics-2b3d3f56","name":"Record Routing Quality Audit & Numeric Distribution Analytics","description":"Record routing — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution 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-19-004?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"}}},"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_gSN6aXvPm10gFzGpK3rWL","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":"Analyzes up to 200 record routing rows, producing a data quality audit and numeric distribution report for accepted_records and rejected_records fields.","exampleAgentPrompt":"Can you run a quality audit and numeric distribution analysis on my record routing data? Here are up to 200 rows with row_id, dataset_group, date, accepted_records, and rejected_records — I want to analyze the accepted_records field across groups like 'group-a' and 'group-b' from October 2026.","exampleUseCases":[{"title":"ETL pipeline acceptance rate audit","prompt":"I have 150 rows of daily record routing data from our ETL pipeline with accepted_records and rejected_records counts per group — can you run a quality audit and numeric distribution report on the accepted_records field so I can see where things went wrong?"},{"title":"Data quality check across dataset groups","prompt":"We have record routing output across two dataset groups for Q4 2026, each row has an accepted and rejected count — can you audit the data quality and give me a numeric distribution breakdown of rejected_records across all rows?"},{"title":"Monitoring routing rejection spikes","prompt":"I want to understand the spread of rejected_records in our routing system over the past month — can you analyze up to 200 rows of our routing data and give me both a quality audit and a distribution summary for the rejected_records field?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying issues such as nulls, anomalies, or format problems in the submitted rows, and (2) a numeric distribution report for the selected field (accepted_records or rejected_records) across up to 200 rows, including statistical summaries derived from the supplied data using local analytical engines. No external data is fetched.","failureModes":["Rows array is empty or exceeds 200 items — rejected with validation error","Missing required fields (row_id, date, accepted_records, rejected_records) in any row — row-level validation failure","Date field does not match YYYY-MM-DD pattern — schema validation error","accepted_records or rejected_records values outside allowed numeric range — validation rejection","Invalid field enum value (not 'accepted_records' or 'rejected_records') — parameter error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 record routing rows with accepted and rejected record counts and need both a data quality audit and a numeric distribution analysis in a single low-cost call ($0.01 USDC). It is best suited for offline or batch analytical use cases where no live lookup, prediction, or external action is needed — purely local statistical analysis of supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:31.558Z","isFirstParty":false,"canonicalSlug":"record-routing-quality-audit-numeric-distribution-analytics-2b3d3f56"}