{"uid":"cap_3QCp_3C_Du8a72dIuSsTg","slug":"record-routing-string-normalisation-numeric-distribution-analytics-aa8355a3","name":"Record Routing — String Normalisation + Numeric Distribution Analytics","description":"Record routing — String normalisation + Numeric distribution: String normalisation + 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-19-022?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_SKAPZ3LlwZXv9YuAKC6CY","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 record routing data by performing string normalisation and numeric distribution reporting on accepted_records and rejected_records fields across up to 200 rows.","exampleAgentPrompt":"Can you run string normalisation and numeric distribution reports on my record routing data? I have 4 rows with dataset groups 'group-a' and 'group-b' from October 2026, with accepted_records values of 10, 20, 15, and 30, and rejected_records of 1, 2, 3, and 4 — analyze the accepted_records field.","exampleUseCases":[{"title":"ETL pipeline rejection rate analysis","prompt":"I have a week's worth of ETL pipeline data with accepted and rejected record counts per day across two dataset groups — can you run a numeric distribution report on the rejected_records to see how rejection rates are spread out?"},{"title":"Record routing quality audit","prompt":"Run string normalisation and numeric distribution analytics on my routing data: I've got 50 rows with row IDs, dates in 2025, dataset groups like 'prod' and 'staging', and both accepted_records and rejected_records counts. Analyze the accepted_records field."},{"title":"Data ingestion monitoring by group","prompt":"I need to understand the distribution of accepted records across my dataset groups for last month — can you analyze these 100 routing records with their accepted_records and rejected_records counts grouped by 'warehouse-a' and 'warehouse-b'?"}],"resultDescription":"Returns two independent analytical reports: (1) a string normalisation report covering the string fields in the routing records, and (2) a numeric distribution report for the selected numeric field (accepted_records or rejected_records), computed locally without any external lookup or prediction, covering up to 200 submitted rows.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, accepted_records, rejected_records) causes rejection","Invalid date format (non YYYY-MM-DD) fails schema validation","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array is not accepted (minItems: 1)","Invalid field enum value (must be 'accepted_records' or 'rejected_records') causes error"],"whenToPreferThis":"Choose this endpoint when you need lightweight, low-cost batch analytics (string normalisation + numeric distribution) on record routing data with up to 200 rows, without requiring external lookups, predictions, or professional assessments. Ideal for ETL monitoring, data quality checks, and pipeline acceptance/rejection rate analysis at $0.01 per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:18.783Z","isFirstParty":false,"canonicalSlug":"record-routing-string-normalisation-numeric-distribution-analytics-aa8355a3"}