{"uid":"cap_GnNwzpoZuS0miwheBS233","slug":"record-routing-analytics-quality-audit-string-normalisation-numeric-5c96c1c6","name":"Record Routing Analytics: Quality Audit + String Normalisation + Numeric Interval Filter","description":"Record routing — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied record routing records (accepted_records, rejected_records). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-19-197?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_nD-nez5G69ZEr1iFa_IeX","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 three local analytical reports on record routing data — quality audit, string normalisation, and numeric interval filter — for accepted_records and rejected_records fields across up to 200 rows.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and numeric interval filter on my record routing data — here are my rows with accepted_records and rejected_records counts by date and dataset group — filter accepted_records between 5 and 100?","exampleUseCases":[{"title":"ETL pipeline rejection rate audit","prompt":"I have a week of record routing logs with accepted_records and rejected_records per day and dataset group. Can you run a quality audit and numeric interval filter on accepted_records between 0 and 50 to flag anything suspicious?"},{"title":"Dataset group label normalisation","prompt":"My record routing export has messy dataset_group strings. Can you run a string normalisation report on these rows so I can see what needs cleaning? Here's up to 200 rows with accepted and rejected counts."},{"title":"Interval-based rejection spike detection","prompt":"Can you filter my rejected_records values to only show rows where they fall between 10 and 500, and also run a quality audit on the whole batch? I want to spot which dataset groups have spikes in rejections."}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit highlighting data issues in the supplied rows, (2) a string normalisation report for string fields such as dataset_group, and (3) a numeric interval filter report identifying rows where the selected field (accepted_records or rejected_records) falls within or outside the specified minimum/maximum range. All analysis is performed locally with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, accepted_records, rejected_records) cause rejection","Invalid date format (not YYYY-MM-DD) triggers a schema error","minimum greater than maximum causes undefined filter behaviour","Null numeric values may be excluded from interval filter results"],"whenToPreferThis":"Choose this endpoint when you need a bundled, low-cost ($0.01 USDC for all three reports) local analysis of record routing data covering quality auditing, string normalisation, and numeric range filtering in a single call. It is ideal for ETL pipeline monitoring, data quality checks on record acceptance/rejection logs, and batch validation of up to 200 rows without requiring 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":"2026-10-23T18:51:25.790Z","isFirstParty":false,"canonicalSlug":"record-routing-analytics-quality-audit-string-normalisation-numeric-5c96c1c6"}