{"uid":"cap_D8qR_GGGhuiXRsSwcer_b","slug":"record-routing-numeric-row-ordering-trailing-mean-series-4182251f","name":"Record Routing — Numeric Row Ordering + Trailing Mean Series","description":"Record routing — Numeric row ordering + Trailing mean series: Numeric row ordering + 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-19-115?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_coxGn9JQsRA6F-z1lh7tf","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 numeric row ordering and a trailing mean time series for accepted_records or rejected_records fields across up to 200 record routing data rows.","exampleAgentPrompt":"Take my record routing data for October 2026 — rows with accepted_records and rejected_records across group-a and group-b — and give me both a numeric row ordering and a trailing mean series for accepted_records using a window of 3.","exampleUseCases":[{"title":"Pipeline acceptance rate trend analysis","prompt":"I have 50 rows of daily record routing data with accepted_records and rejected_records counts. Can you rank them numerically and compute a trailing mean series over a 5-day window for accepted_records so I can see the trend?"},{"title":"Rejected record spike detection","prompt":"Here are 120 rows of routing pipeline data across multiple dataset groups. Run the numeric row ordering and trailing mean series for rejected_records with a window of 7 so I can spot where spikes are occurring."},{"title":"Data quality batch report for two groups","prompt":"I've got routing records for group-a and group-b from the past month, about 80 rows total. Give me the row ordering and rolling mean report for accepted_records with a window size of 4 so I can compare batch performance."}],"resultDescription":"Returns two analytical reports for the submitted rows: (1) a numeric row ordering ranking each row by the selected field value, and (2) a trailing mean series showing rolling averages over the specified window — both computed locally without external lookups or predictions.","failureModes":["More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, date, accepted_records, rejected_records) on any row","Invalid date format (must match YYYY-MM-DD pattern)","Window size outside allowed range (2–200)","Field selector not one of accepted_records or rejected_records","Null values in selected field may affect trailing mean computation"],"whenToPreferThis":"Choose this endpoint when you have up to 200 record routing rows with accepted/rejected counts and need both a ranked ordering and a rolling mean series in a single low-cost call. Ideal for data quality monitoring, pipeline diagnostics, and batch trend analysis where no external data enrichment or prediction is required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:48:44.987Z","isFirstParty":false,"canonicalSlug":"record-routing-numeric-row-ordering-trailing-mean-series-4182251f"}