{"uid":"cap_ZIJ663vBSnN67zR3MwtAj","slug":"data-reconciliation-trailing-mean-series-iqr-outlier-flags-b6325902","name":"Data Reconciliation — Trailing Mean Series + IQR Outlier Flags","description":"Data reconciliation — Trailing mean series + IQR outlier flags: Trailing mean series + IQR outlier flags 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-11-149?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_Ct5eDtlv5iTvAoSGGGbWh","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 a trailing mean time series and flags IQR-based outliers across source_total and target_total reconciliation records, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 50 reconciliation rows with dates, source_total and target_total values for two dataset groups — can you compute the trailing mean series using a window of 5 and flag any IQR outliers in the source_total field?","exampleUseCases":[{"title":"Financial reconciliation anomaly detection","prompt":"I've got 120 rows of daily source and target totals from our accounts reconciliation process — run a trailing mean with a window of 7 and flag any IQR outliers in the target_total so I can see which days had unusual discrepancies."},{"title":"ETL pipeline data quality check","prompt":"After our nightly ETL run I have source_total and target_total counts per dataset group across 90 dates — can you compute a trailing mean series with window 3 and highlight any IQR outlier rows in source_total to catch data drift?"},{"title":"Monthly reporting variance review","prompt":"Here are 60 rows of reconciliation records across two groups covering the last two months — please generate the trailing mean and IQR outlier flags for source_total with a window of 4 so I can spot which entries are statistically unusual before my report."}],"resultDescription":"Returns two independent analytical reports: (1) a trailing mean time series computed over the specified window for the chosen field (source_total or target_total), and (2) IQR-based outlier flags per row identifying which records fall outside the interquartile range bounds. Both reports are derived locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Window size smaller than 2 or larger than 200 — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","source_total or target_total values outside ±1,000,000,000,000 — rejected","Missing required fields (row_id, dataset_group, date) — request fails","Payment not received or insufficient USDC — 402 response"],"whenToPreferThis":"Choose this endpoint when you need fast, locally-computed statistical analysis of reconciliation data — specifically trailing moving averages combined with IQR outlier detection — without any external data lookup or prediction. Ideal for data quality workflows where you supply your own source/target totals and want two complementary statistical reports (smoothed trend + anomaly flags) in a single call for under $0.01.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:10.977Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-trailing-mean-series-iqr-outlier-flags-b6325902"}