{"uid":"cap_dz_SyoQopziJmqpC4Px_n","slug":"record-routing-string-normalisation-and-trailing-mean-series-analytics-74061360","name":"Record Routing String Normalisation and Trailing Mean Series Analytics","description":"Record routing — String normalisation + Trailing mean series: String normalisation + Trailing mean series 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-19-028?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_VDscApyF7W7FTkG8kw8oP","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":"Computes string normalisation and trailing mean series analytics for accepted_records and rejected_records fields in record routing data, up to 200 rows, returning 2 reports per call.","exampleAgentPrompt":"Run string normalisation and trailing mean series analytics on my record routing data — I have 4 rows spanning 2026-10-01 to 2026-10-04 with dataset groups group-a and group-b, accepted_records values of 10, 20, 15, 30 and rejected_records of 1, 2, 3, 4; use the accepted_records field with a window of 2.","exampleUseCases":[{"title":"Daily record ingestion quality monitoring","prompt":"I have a week of record routing logs with accepted and rejected counts per day across two dataset groups — can you run string normalisation and a trailing mean series with a window of 3 on the accepted_records field so I can see smoothed trends?"},{"title":"Rejected record spike investigation","prompt":"My team noticed a spike in rejected_records last month — can you normalize the strings and compute a trailing mean series with a window of 5 on the rejected_records field for my 50-row routing dataset so we can spot the anomaly?"},{"title":"Cross-group routing performance comparison","prompt":"I want to compare routing performance across my dataset groups — please run the string normalisation and trailing mean analytics with window 2 on accepted_records for my 120 rows of routing data covering groups alpha and beta."}],"resultDescription":"Returns two analytical reports: (1) a string normalisation report for the specified record routing rows, and (2) a trailing mean series computed over the chosen field (accepted_records or rejected_records) with the given rolling window size, both derived locally from the supplied data without any external lookups.","failureModes":["Fewer than 1 or more than 200 rows supplied — rejected with validation error","Window size less than 2 or greater than 200 — rejected with schema error","Missing required fields (row_id, date, accepted_records, rejected_records) — validation failure","Malformed date strings not matching YYYY-MM-DD pattern — schema rejection","Payment not completed — 402 response requiring USDC payment"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and trailing mean series analytics on record routing data in a single low-cost call ($0.01 USDC), working entirely from supplied data up to 200 rows, with no need for external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:32.403Z","isFirstParty":false,"canonicalSlug":"record-routing-string-normalisation-and-trailing-mean-series-analytics-74061360"}