{"uid":"cap_MaE7Kk31HRdo2iUU3ZYms","slug":"record-routing-quality-audit-string-normalisation-secondary-measure-53038cf7","name":"Record Routing Quality Audit + String Normalisation + Secondary-Measure Weighted Mean","description":"Record routing — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean 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-19-205?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_9PHjQcpmU9pVocqYr3cH1","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 secondary-measure weighted mean — for up to 200 rows of accepted/rejected record counts.","exampleAgentPrompt":"Run a quality audit, string normalisation, and weighted mean analysis on my record routing data — I have 4 rows with dataset groups A and B, dates from 2026-10-01 to 2026-10-04, accepted_records of 10, 20, 15, and 30, and rejected_records of 1, 2, 3, and 4; use accepted_records as the primary field.","exampleUseCases":[{"title":"Daily routing pipeline quality check","prompt":"I have yesterday's record routing batch — 5 groups with dates and accepted/rejected counts for each. Can you run a quality audit, normalise the string fields, and give me a weighted mean on the accepted_records so I can flag any anomalies before the next pipeline run?"},{"title":"Comparing rejection rates across dataset groups","prompt":"I want to analyse rejected_records across my three dataset groups over the past week — can you run the quality audit and weighted mean reports using rejected_records as the target field so I can see which group has the worst rejection rate?"},{"title":"Pre-reporting data normalisation for routing logs","prompt":"Before I send our monthly routing report to the team, can you normalise the string fields and compute the weighted mean for accepted_records across all 12 date rows in our routing log so the output is clean and consistent?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging data issues in the accepted/rejected record counts, (2) normalised versions of the string fields, and (3) a secondary-measure weighted mean computed over the selected field (accepted_records or rejected_records), all derived from the supplied rows without any external lookups.","failureModes":["Exceeds 200-row limit — request rejected","Missing required fields (row_id, date, accepted_records, rejected_records) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Numeric values outside allowed range — rejected","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you need a bundled, offline analytical pass over record routing data combining quality auditing, string normalisation, and weighted mean computation in a single cheap call ($0.01 USDC for all three reports). Best suited for ETL pipeline monitoring, data quality gates, and pre-reporting normalisation where no external lookups or predictions are needed and data fits within 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:56.634Z","isFirstParty":false,"canonicalSlug":"record-routing-quality-audit-string-normalisation-secondary-measure-53038cf7"}