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Rig Complexity IQR Outlier Flags + Date by Category Pivot
x402
Rig Complexity IQR Outlier Flags + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Analyzes rig complexity records (bone_count, constraint_count) to produce IQR-based outlier flags and a date-by-category pivot table as two bundled reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Rig complexity — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot 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 bundled analytical reports for up to 200 rig records: (1) IQR outlier flags indicating which rows have statistically anomalous values for the selected field (bone_count or constraint_count), and (2) a date-by-category pivot table cross-tabulating the selected metric by date and asset_group. No external lookups or predictions are made; all computation is performed locally on the supplied data.
Example use cases
Outlier detection in character rigs
“I have 40 rows of character rig records with bone counts and constraint counts across different asset groups and dates — can you flag any IQR outliers in the bone_count field and also give me a pivot of bone_count by date and asset group?”
QA check on rig complexity batch
“We just exported 120 rig entries from our pipeline with date, asset_group, bone_count, and constraint_count. Run the IQR outlier flags and date-by-category pivot on constraint_count so I can spot anything suspiciously complex before we ship.”
Comparing rig complexity across asset groups
“I want to understand how rig complexity varies across our asset groups over time. Here are 80 rig records with bone_count and constraint_count — give me the IQR outlier flags and a date-by-category pivot for bone_count.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-04-178?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have rig complexity records (with bone_count and/or constraint_count) and need both IQR-based statistical outlier detection and a date-by-category pivot in a single low-cost call. It is well-suited for animation pipeline QA, asset management audits, or any workflow where you want to quickly identify anomalous rigs and understand category-level trends over time without setting up your own analytics stack.
Side effects
- Missing required fields (row_id, asset_group, date, bone_count, constraint_count) causes validation error
- More than 200 rows submitted exceeds the row limit and may be rejected
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- All-null values for the selected field may produce empty or undefined outlier results
- Payment failure (insufficient USDC balance) prevents endpoint access
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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