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Rig Complexity IQR Outlier Flags + Missing-Value Fill
x402
Rig Complexity IQR Outlier Flags + Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Runs IQR-based outlier detection and missing-value imputation on rig complexity records (bone_count, constraint_count) for up to 200 rows, returning two local analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Rig complexity — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + Explicit missing-value fill 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
Two analytical reports per call: (1) IQR outlier flags indicating which rows have bone_count or constraint_count values outside the interquartile range, and (2) a missing-value fill report showing imputed values (zero, mean, or median) for null entries in the selected field — all computed locally without external lookups or predictions.
Example use cases
Outlier detection in animation rig data
“I have 50 character rig records with bone_count and constraint_count values — some look suspiciously high. Can you flag the IQR outliers in bone_count and fill any missing constraint_count values using median imputation? I'll send you the rows with row IDs, asset groups, and dates.”
Data cleaning before pipeline export
“Before I export my rig complexity dataset to our pipeline, can you clean it up? I need missing bone_count values filled with zeros and IQR outlier flags on the constraint_count field for about 120 rows across my character and vehicle asset groups.”
Quality check on newly imported rig records
“We just imported 80 new rig records and I want to make sure the numbers look sane. Can you run IQR outlier detection on the bone_count column and use mean imputation to fill any gaps in constraint_count? The rows span from 2026-01-01 to 2026-03-31 across multiple asset groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-04-180?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local statistical analysis on rig complexity metrics — specifically IQR outlier flagging and missing-value imputation on bone_count and constraint_count — for small batches up to 200 rows at a flat $0.01 USDC for both reports. It requires no external data sources, predictions, or professional assessments, making it ideal for repeatable data-quality checks in 3D animation and rigging pipelines.
Side effects
- Fewer than 1 row submitted — returns validation error
- More than 200 rows submitted — rejected, maxItems exceeded
- Invalid date format not matching YYYY-MM-DD pattern — schema validation failure
- Unsupported imputation method outside zero/mean/median enum — rejected
- Non-numeric values in bone_count or constraint_count — type validation error
- Malformed row_id exceeding 80 characters — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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