{"uid":"cap_p-lOyUoAkmwLlvQUmCq6V","slug":"record-routing-analytics-trailing-mean-series-adjacent-row-changes-7ba91d39","name":"Record Routing Analytics — Trailing Mean Series + Adjacent Row Changes","description":"Record routing — Trailing mean series + Adjacent row changes: Trailing mean series + Adjacent row changes 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-19-146?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_UUVC3VdvlwOT8PdHP0gzr","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 trailing mean series and adjacent row changes for accepted/rejected record routing data across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you run a trailing mean series and adjacent row changes analysis on my record routing data — I have accepted_records and rejected_records across 50 rows with dates from 2026-10-01, using a window size of 5, and I want to analyze the accepted_records field?","exampleUseCases":[{"title":"Monitor ETL pipeline acceptance trends","prompt":"I have 120 rows of daily ETL pipeline results with accepted_records and rejected_records by dataset group. Can you compute the trailing mean series with a window of 7 and show me adjacent row changes for accepted_records so I can spot degradation over time?"},{"title":"Audit data quality rejection spikes","prompt":"Run a trailing mean and adjacent row delta analysis on my rejected_records data — I have 80 rows grouped by validation category with dates from 2025-01-01, using a window size of 3, so I can find where rejection spikes occurred."},{"title":"Compare routing performance across groups","prompt":"I want to see trailing mean series and row-to-row changes for accepted_records across my two dataset groups over 60 rows of record routing logs — use a window of 10 and give me both reports."}],"resultDescription":"Returns two analytical reports for the supplied record routing data: (1) a trailing mean series showing rolling averages over the specified window for the chosen field, and (2) adjacent row changes showing the delta between consecutive rows — both computed locally against the submitted data with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, date, accepted_records, rejected_records) cause validation errors","Window size larger than the number of input rows yields undefined or empty trailing mean results","Invalid date format (not YYYY-MM-DD) causes parsing failure","Null values in numeric fields may produce null entries in the output series"],"whenToPreferThis":"Use this endpoint when you need fast, low-cost ($0.01) offline statistical analysis of record routing time series data — specifically trailing moving averages and row-to-row delta changes — without requiring external data sources, predictions, or real-time lookups. Ideal for data engineers and pipeline operators who want to batch-analyze up to 200 rows of accepted/rejected record counts in a single call and receive two structured reports simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:51:46.367Z","isFirstParty":false,"canonicalSlug":"record-routing-analytics-trailing-mean-series-adjacent-row-changes-7ba91d39"}