{"uid":"cap_h3RziCdJBVWgyZpPfrQwB","slug":"record-routing-analytics-string-normalisation-secondary-measure-37a8e1ee","name":"Record Routing Analytics: String Normalisation + Secondary-Measure Weighted Mean","description":"Record routing — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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-19-034?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_DiKcvy7ASX7okvNhNmjiw","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":"Performs string normalisation and secondary-measure weighted mean calculations on record routing data (accepted_records, rejected_records) for up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"I have 4 rows of record routing data across two groups — group-a had 10 accepted and 1 rejected on 2026-10-01, group-b had 20 accepted and 2 rejected on 2026-10-02, 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 string normalisation and weighted mean analytics on the accepted_records field and give me both reports?","exampleUseCases":[{"title":"Daily routing quality review","prompt":"I have a week's worth of record routing logs — 7 rows, each with accepted and rejected record counts per dataset group. Can you run the string normalisation and weighted mean analysis on the rejected_records field and give me both analytical reports?"},{"title":"Comparing two routing groups over time","prompt":"I've got 10 routing records split between group-a and group-b from October 2026. Run string normalisation plus secondary-measure weighted mean on the accepted_records field so I can compare how the two groups performed."},{"title":"Batch ETL pipeline acceptance audit","prompt":"Here are 50 rows from our ETL pipeline showing accepted and rejected record counts by date and dataset group. Please compute the weighted mean and normalised string report on accepted_records so I can audit the pipeline's routing effectiveness."}],"resultDescription":"Returns 2 analytical reports covering (1) string normalisation of the specified field across the submitted rows and (2) a secondary-measure weighted mean calculation, both computed locally without external lookups. Reports are based solely on the supplied accepted_records and rejected_records data for up to 200 rows.","failureModes":["Rows array exceeds 200 items — 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 (±1,000,000,000,000) — rejected","Invalid field enum value (not 'accepted_records' or 'rejected_records') — error"],"whenToPreferThis":"Choose this endpoint when you need offline, local computation of string normalisation and weighted mean statistics on record routing data (accepted vs rejected counts) for up to 200 rows in a single call, and you want two bundled analytical reports for a fixed low cost. It is not a live lookup or predictive service — ideal for post-hoc batch analytics on routing pipeline outputs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T06:39:43.451Z","isFirstParty":false,"canonicalSlug":"record-routing-analytics-string-normalisation-secondary-measure-37a8e1ee"}