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Rig Complexity Base-100 Series + IQR Outlier Flags
x402
Rig Complexity Base-100 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 Base-100 indexed time series and IQR-based outlier flags for rig complexity metrics (bone_count and constraint_count) across up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Rig complexity — Base-100 series + IQR outlier flags: Base-100 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: (1) a Base-100 indexed series for the selected field (bone_count or constraint_count), rebased to 100 at the specified row index, showing relative values across all rows; and (2) IQR-based outlier flags for each row indicating whether values fall outside the interquartile range bounds. Both reports are computed locally with no external lookups.
Example use cases
Detecting outlier rigs in a character set
“I have bone count and constraint count records for 50 character rigs across two asset groups. Can you run a Base-100 series and IQR outlier flags on the bone_count field, starting the index at row 0, so I can see which rigs are unusually complex?”
Comparing rig complexity trends over a production sprint
“We tracked rig complexity daily for 30 days across two groups — can you normalize all the bone_count readings to a Base-100 series (base at index 0) and flag any IQR outliers so I can spot anomalies in the sprint?”
Auditing constraint counts for a game asset library
“Here are constraint_count measurements for 120 game rigs across several asset groups. Run the Base-100 rebase and IQR outlier detection on the constraint_count field starting from row index 0 so we can audit which assets are outliers.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-04-164?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have pre-collected rig complexity records (bone_count and/or constraint_count) and need both a normalized Base-100 time series and IQR outlier detection in a single call at low cost ($0.01). Ideal for animation pipeline audits, production QA, or asset complexity benchmarking where data is already on hand and no live lookups or predictions are needed. Prefer this over generic statistics tools when working specifically with rig metadata in a structured row format with asset_group and date dimensions.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, bone_count, constraint_count) cause validation error
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- base_index out of range (0-199) or exceeding row count causes error
- Non-numeric values in bone_count or constraint_count fields fail type validation
- Insufficient data variance may produce trivial IQR flags with all values marked normal
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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