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Rig Complexity Trailing Mean Series + IQR Outlier Flags
x402
Rig Complexity Trailing Mean Series + IQR Outlier Flags 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).
Computes trailing mean time series and IQR-based outlier flags for rig complexity metrics (bone_count and constraint_count) across up to 200 supplied records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Rig complexity — Trailing mean series + IQR outlier flags: Trailing mean series + IQR outlier flags 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 (one per field: bone_count and constraint_count), each containing a trailing mean time series computed over the specified window size and IQR-based outlier flags per row, identifying which records fall outside the interquartile range boundaries.
Example use cases
Outlier detection in character rig pipeline
“I have a list of 50 character rig records with bone counts and constraint counts over the past two months — can you run a trailing mean with a window of 7 on bone_count and flag any IQR outliers so I can spot rigs that look anomalous?”
Constraint count trend analysis for asset group
“Run a trailing mean series with window size 10 on the constraint_count field for these 80 rig records across our 'vehicles' and 'props' asset groups, and tell me which rows are flagged as outliers by IQR.”
QA check on rigging complexity before delivery
“Before we ship this batch of 120 rig assets, can you compute trailing mean and IQR outlier flags for both bone_count and constraint_count using a window of 5? I want to catch any rigs that are statistically out of range.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-04-149?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have a batch of 3D rig asset records with bone and constraint count measurements over time and need both a rolling/trailing mean series and IQR outlier detection in a single call covering both metrics. Prefer this over generic statistics APIs when working specifically with rigging complexity data organized by asset group and date, and when you want two simultaneous reports for a flat per-call cost.
Side effects
- Fewer than 2 rows provided (minItems:1 but window requires at least 2)
- Window size larger than the number of rows, resulting in insufficient data for trailing mean
- Invalid date format (must match YYYY-MM-DD pattern)
- row_id missing or empty (required field)
- More than 200 rows submitted (maxItems exceeded)
- Null values in bone_count or constraint_count may reduce effective computation rows
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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