{"uid":"cap_F4aI3d7fsmsqeU6FILF2J","slug":"record-routing-analytics-quality-audit-string-normalisation-category-c862a0c6","name":"Record Routing Analytics: Quality Audit, String Normalisation & Category Frequencies","description":"Record routing — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies 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-19-195?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}}},"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_IWhnMO1i3ZkRsVTRyo_Ty","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 bundled analytical reports on record routing data — quality audit, string normalisation, and category frequency analysis — for up to 200 rows of accepted/rejected record counts.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and category frequency analysis on my record routing data? Here are my rows: group-a had 10 accepted and 1 rejected on 2026-10-01, and group-b had 20 accepted and 2 rejected on 2026-10-02.","exampleUseCases":[{"title":"Data pipeline rejection rate audit","prompt":"I have routing logs for October — group-a had 15 accepted and 3 rejected on 2026-10-03, and group-b had 30 accepted and 4 rejected on 2026-10-04. Can you run a quality audit and tell me which rows look problematic?"},{"title":"Dataset group frequency breakdown","prompt":"Can you analyse these 5 routing records across group-a, group-b, and group-c and give me a frequency breakdown of how many records fall into each category? I also need the strings normalised."},{"title":"Monitoring routing pipeline data quality","prompt":"We just processed a batch of 50 routing records with varying accepted and rejected counts across several dataset groups — can you run the three analytics reports so I can spot any quality issues and see the category distribution?"}],"resultDescription":"Three bundled analytical reports: (1) a record quality audit highlighting issues in the accepted/rejected record data, (2) normalised string representations of text fields like dataset_group, and (3) category frequency counts showing how often each dataset group appears across the supplied rows.","failureModes":["More than 200 rows submitted — exceeds maxItems limit, request rejected","Missing required fields (row_id, date, accepted_records, rejected_records) — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","Numeric values outside allowed range (-1T to 1T) — validation error","Empty rows array — minItems constraint violated"],"whenToPreferThis":"Choose this endpoint when you need a combined, cost-effective analytical pass over record routing data covering quality checks, string normalisation, and category frequencies in a single call. Ideal for data pipeline monitoring, batch QA checks on routing logs, and lightweight reporting where no external lookups or predictions are required — all analysis is performed locally on the supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:22.874Z","isFirstParty":false,"canonicalSlug":"record-routing-analytics-quality-audit-string-normalisation-category-c862a0c6"}