{"uid":"cap_7sh11k7mayrH_WjeHp7H6","slug":"simulation-caches-iqr-outlier-flags-keyed-dataset-comparison-fe22dd38","name":"Simulation Caches IQR Outlier Flags + Keyed Dataset Comparison","description":"Simulation caches — IQR outlier flags + Keyed dataset comparison: IQR outlier flags + Keyed dataset comparison for supplied simulation caches records (cache_gb, simulation_seconds). 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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two statistical analyses on simulation cache records: IQR-based outlier detection and keyed dataset comparison, for up to 200 rows of cache_gb and simulation_seconds data.","exampleAgentPrompt":"Analyze my simulation cache records for IQR outliers in the cache_gb field and compare them against a second dataset — I have two groups of rows with date, row_id, asset_group, cache_gb, and simulation_seconds, up to about 50 rows each.","exampleUseCases":[{"title":"Outlier detection in cache size logs","prompt":"I have 80 rows of daily simulation cache logs with cache_gb and simulation_seconds values per asset group — can you flag any IQR outliers in cache_gb and also compare this week's data against last week's dataset by row key?"},{"title":"QA check on simulation run durations","prompt":"Run an IQR outlier analysis on simulation_seconds across my two simulation datasets — here are the rows for group-a and group-b with dates ranging from 2026-10-01 to 2026-10-30, and flag anything that looks statistically anomalous."},{"title":"Before-vs-after cache benchmark comparison","prompt":"I ran simulations before and after a config change and have two sets of records with cache_gb and simulation_seconds — compare them using a keyed dataset comparison and tell me which rows differ significantly, using cache_gb as the field."}],"resultDescription":"Two independent analytical reports: (1) IQR outlier flags indicating which rows in the supplied dataset fall outside the interquartile range for the selected field, and (2) a keyed dataset comparison report showing differences between the primary and secondary datasets matched by row_id. Both reports are computed locally without external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — request rejected","Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field value outside allowed numeric range — validation error","Null values in numeric fields may affect IQR computation accuracy"],"whenToPreferThis":"Choose this endpoint when you need a combined IQR outlier detection and keyed dataset comparison on simulation cache metrics (cache_gb and simulation_seconds) for up to 200 rows, at very low cost ($0.01 USDC for both reports). Prefer this over general-purpose analytics tools when you specifically have simulation cache records with the required schema and want two coordinated statistical reports in a single call without external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:55.247Z","isFirstParty":false,"canonicalSlug":"simulation-caches-iqr-outlier-flags-keyed-dataset-comparison-fe22dd38"}