{"uid":"cap_xasNSZhqC2K9tR3XmHjKq","slug":"data-reconciliation-trailing-mean-series-adjacent-row-changes-e7004caf","name":"Data Reconciliation — Trailing Mean Series + Adjacent Row Changes","description":"Data reconciliation — Trailing mean series + Adjacent row changes: Trailing mean series + Adjacent row changes for supplied data reconciliation records (source_total, target_total). 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-11-146?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","source_total","target_total"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"target_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_total":10,"target_total":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_total":20,"target_total":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_total":15,"target_total":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_total":30,"target_total":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["source_total","target_total"],"type":"string","default":"source_total"},"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_-xva03BNtGkn0u7bcQToq","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 two analytical reports on reconciliation data: a trailing moving-average series and row-over-row delta changes, for up to 200 source/target total pairs.","exampleAgentPrompt":"Run trailing mean and adjacent row change analytics on my reconciliation data — I have 4 rows for group-a and group-b from 2026-10-01 to 2026-10-04 with source_total values of 10, 20, 15, 30 and matching target_total values; use a window of 2 and analyze the source_total field.","exampleUseCases":[{"title":"Finance team reconciliation trend review","prompt":"I have 50 daily reconciliation rows for our 'ledger-sync' dataset group from 2025-01-01 onward with source_total and target_total values — can you run a trailing mean series with a window of 7 and also show me the adjacent row changes on the source_total field?"},{"title":"Detect anomalous jumps in target totals","prompt":"Here are 30 reconciliation records across two dataset groups for Q1 2025. Run the adjacent row changes report on the target_total field with a window of 3 so I can spot any sudden spikes between consecutive rows."},{"title":"Monthly pipeline data quality audit","prompt":"I'm auditing our monthly data pipeline — I have 120 reconciliation records with source_total and target_total per row. Can you compute the trailing moving average with a 10-row window on source_total and give me the row-over-row change report too?"}],"resultDescription":"Returns two analytical reports: (1) a trailing mean series showing the rolling average of the selected field (source_total or target_total) over the specified window, and (2) an adjacent row changes report showing the delta between consecutive rows — both computed locally on the supplied reconciliation data up to 200 rows.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes validation error","Missing required fields (row_id, dataset_group, date, source_total, target_total) cause schema rejection","Window size outside [2, 200] range is rejected","Numeric values outside ±1,000,000,000,000 range are rejected","Empty rows array rejected (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you need both a rolling/trailing average time series AND row-over-row delta analysis on reconciliation data (source vs target totals) in a single paid call. It is ideal for batch offline analysis of up to 200 records without needing live data lookup, external prediction, or professional assessment — all computation is performed locally on your supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:44:52.312Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-trailing-mean-series-adjacent-row-changes-e7004caf"}