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Rig Complexity Numeric Row Ordering and IQR Outlier Flags
x402
Rig Complexity Numeric Row Ordering and 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).
Sorts rig complexity records (bone_count or constraint_count) by numeric order and flags statistical IQR outliers across up to 200 rows in two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Rig complexity — Numeric row ordering + IQR outlier flags: Numeric row ordering + 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
Two independent analytical reports: (1) rows sorted by the selected numeric field (bone_count or constraint_count) with their ordinal rank, and (2) IQR-based outlier flags indicating which rows fall outside the interquartile range. Results are derived from the supplied data only — no external lookups or predictions.
Example use cases
Outlier detection in character rigs
“I have 150 character rig records with bone_count and constraint_count values — can you rank them by bone_count and flag any rigs that are statistical outliers using IQR?”
Constraint count anomaly audit
“Here are my rig records across two asset groups, each with a constraint_count — sort them numerically by constraint_count and highlight any outliers so I can review the unusual ones.”
Rig complexity QA for animation pipeline
“I need a quality check on my rig dataset: give me the numeric row order and IQR outlier flags for bone_count across these 80 rig entries split across group-a and group-b.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-04-119?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular rig complexity records with bone_count or constraint_count values and need both a numeric sort order and IQR-based outlier detection in a single low-cost call. Ideal for animation pipeline QA, rig audits, or batch analysis of up to 200 rig entries without needing any external data sources or live lookups.
Side effects
- Missing required fields (row_id, date, bone_count, constraint_count) cause validation errors
- More than 200 rows exceeds the limit and will be rejected
- Invalid date format (not YYYY-MM-DD) triggers a schema error
- Null values in the selected field may be excluded or cause partial results
- All-null field values prevent meaningful ranking or outlier detection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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