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Rig Complexity IQR Outlier Flags and Secondary-Measure Weighted Mean
x402
Rig Complexity IQR Outlier Flags and Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Analyzes rig complexity records (bone_count, constraint_count) to flag IQR-based outliers and compute a secondary-measure weighted mean, producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Rig complexity — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean for supplied rig complexity records (bone_count, constraint_count). 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.
Output
Returns two analytical reports: (1) IQR outlier flags per row indicating which rig records have bone_count or constraint_count values outside the interquartile range, and (2) a secondary-measure weighted mean summarizing the selected field's distribution. Both reports are computed locally with no external lookups.
Example use cases
QA audit of animation rig library
“I have a batch of 50 animation rigs with bone counts and constraint counts per asset group — can you run IQR outlier detection on bone_count and give me the weighted mean so I can spot which rigs are statistically abnormal before we go into production?”
Constraint count anomaly detection across character rigs
“Flag any constraint_count outliers using IQR across my character rig records for the week of 2026-10-01 through 2026-10-07, and also give me the secondary-measure weighted mean — I need to catch any rigs that are way outside the normal range.”
Asset group complexity benchmarking
“Compare rig complexity across group-a and group-b assets by running IQR outlier flags and a weighted mean on bone_count for these 200 rig records — I want to know which groups have unusually complex rigs and what the weighted average looks like.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-04-177?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need simultaneous IQR-based outlier detection AND a secondary-measure weighted mean on rig complexity data (bone_count, constraint_count) in a single call for up to 200 rows, with no external data dependencies. Ideal for pipeline QA steps where 3D rig datasets need rapid statistical profiling before production handoff.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, asset_group, date, bone_count, constraint_count) — validation error
- Invalid date format (must match YYYY-MM-DD) — schema validation failure
- Null values in numeric fields may affect IQR and weighted mean calculations
- Too few data points (e.g. 1-3 rows) may produce unreliable IQR statistics
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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