{"uid":"cap_PdgJ3TFWYOpIiPOAF4Kei","slug":"data-reconciliation-numeric-interval-filter-trailing-mean-series-f921c45d","name":"Data Reconciliation — Numeric Interval Filter + Trailing Mean Series","description":"Data reconciliation — Numeric interval filter + Trailing mean series: Numeric interval filter + Trailing mean series 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 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a numeric interval filter and computes a trailing mean series on data reconciliation records (source_total vs target_total), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have reconciliation data with source_total and target_total values — can you filter rows where source_total is between 5 and 50, and also compute a trailing mean with a window of 3 over source_total, across these 4 rows: row-1 (2026-10-01, group-a, 10, 1), row-2 (2026-10-02, group-b, 20, 2), row-3 (2026-10-03, group-a, 15, 3), row-4 (2026-10-04, group-b, 30, 4)?","exampleUseCases":[{"title":"Monthly finance reconciliation band check","prompt":"I have 120 rows of monthly source vs target financial totals — filter to rows where target_total is between 1000 and 50000, and also give me a trailing mean with window 5 over target_total so I can see the smoothed trend."},{"title":"Operational data pipeline validation","prompt":"Run a numeric interval filter on source_total between 0 and 200 and a trailing mean with window size 7 over source_total for my pipeline reconciliation dataset — I've got about 80 rows grouped across three dataset groups."},{"title":"Detecting out-of-range source totals","prompt":"Can you filter my 50 reconciliation records to find which ones have source_total outside the range of 10 to 500, and simultaneously give me a 4-period trailing mean of source_total so I can spot drift over time?"}],"resultDescription":"Two analytical reports: (1) a filtered subset of the input rows where the chosen field (source_total or target_total) falls within the specified [minimum, maximum] interval, and (2) a trailing mean series computed over the chosen field using the specified rolling window size — both derived from the supplied reconciliation records without any external data lookup.","failureModes":["Fewer than 1 row or more than 200 rows provided returns a validation error","window size larger than the number of rows may produce incomplete or no trailing mean values","date fields not matching YYYY-MM-DD pattern are rejected","source_total or target_total values outside ±1,000,000,000,000 are rejected","missing required fields (row_id, dataset_group, date) cause schema validation failure","minimum greater than maximum may produce an empty filtered result set"],"whenToPreferThis":"Choose this endpoint when you need both a range-based filter and a rolling average computed together on reconciliation data (source_total vs target_total) in a single API call, without needing live data lookup, ML prediction, or external system integration. It is ideal for lightweight, local analytical passes over up to 200 pre-aggregated rows at very low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:10.039Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-numeric-interval-filter-trailing-mean-series-f921c45d"}