{"uid":"cap_loocTYbSKsORiqs1OLWmp","slug":"rig-complexity-iqr-outlier-flags-and-keyed-dataset-comparison-0352615f","name":"Rig Complexity IQR Outlier Flags and Keyed Dataset Comparison","description":"Rig complexity — IQR outlier flags + Keyed dataset comparison: IQR outlier flags + Keyed dataset comparison for supplied rig complexity records (bone_count, constraint_count). Up to 200 rows; 2 independent reports using shared local analytical engines. 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IQR-based outliers and performs keyed dataset comparison on rig complexity records (bone_count, constraint_count) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Analyze these rig complexity records for bone_count outliers using IQR — I've got two groups of rigs (up to 40 rows each) and I want both an IQR outlier flag report and a keyed comparison between the two datasets.","exampleUseCases":[{"title":"Audit character rig complexity for outliers","prompt":"I have a batch of 80 character rig records with bone_count and constraint_count — can you run IQR outlier detection on bone_count and also compare this batch against last month's rig snapshot using the row IDs as keys?"},{"title":"QA rig updates between pipeline versions","prompt":"We just updated our rigging pipeline and I want to compare the new rig complexity numbers against the old ones — same asset groups, same row IDs — and flag any bone_count values that look like statistical outliers in the new set."},{"title":"Identify unusually complex rigs before export","prompt":"Before we export these rigs to our game engine, can you check constraint_count across all 150 entries for IQR outliers, and also diff them against our reference rig dataset so we can see what changed?"}],"resultDescription":"Two independent analytical reports: (1) an IQR outlier flag report marking each row as within or outside the interquartile range bounds for the selected field (bone_count or constraint_count), and (2) a keyed dataset comparison report showing row-level differences between the primary and secondary datasets matched by row_id.","failureModes":["Fewer than 1 row provided — minimum 1 row required","More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, asset_group, date, bone_count, constraint_count) on any row","Invalid date format — must match YYYY-MM-DD pattern","Field selector not one of the allowed enum values (bone_count, constraint_count)","Mismatched row_id keys between primary and comparison datasets may yield empty or partial comparison report","Null numeric values may be excluded from IQR computation"],"whenToPreferThis":"Choose this endpoint when you need local, deterministic statistical analysis of rig complexity data — specifically IQR-based outlier detection and keyed row-level dataset comparison — without any external lookup, model inference, or live data. Ideal for VFX/animation pipelines auditing bone_count and constraint_count across asset groups, especially when you want two bundled reports in a single low-cost call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:00.610Z","isFirstParty":false,"canonicalSlug":"rig-complexity-iqr-outlier-flags-and-keyed-dataset-comparison-0352615f"}