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Rig Complexity — Numeric Distribution + IQR Outlier Flags
x402
Rig Complexity — Numeric Distribution + 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 numeric distribution statistics and IQR-based outlier flags for up to 200 rig complexity records across bone_count and constraint_count fields, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Rig complexity — Numeric distribution + IQR outlier flags: Numeric distribution + 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 independent analytical reports (one per numeric field): distribution statistics including min, max, mean, median, quartiles, and IQR, plus per-row outlier flags indicating which records fall outside the IQR-defined normal range.
Example use cases
Character rig QA outlier review
“I've got 120 character rig records with bone_count and constraint_count values — can you analyze the distribution of bone_count across all of them and flag any rigs that are IQR outliers so I know which ones to review before shipping?”
Game asset rig complexity audit
“We have rigs split across asset groups 'hero', 'npc', and 'vehicle' — run a numeric distribution report on constraint_count for all 80 rows and tell me which rigs fall outside the normal IQR range.”
Animation pipeline complexity baseline
“Can you take these 35 rig records from our October pipeline batch and compute the full distribution stats plus IQR outlier flags for both bone_count and constraint_count so we can set complexity baselines?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-04-080?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw rig complexity records (bone counts, constraint counts) and need statistical distribution summaries plus IQR-based outlier detection without any external data lookup, live prediction, or professional assessment — particularly when you want two fields analyzed in a single low-cost call on up to 200 rows of supplied data.
Side effects
- Fewer than 1 row submitted — minItems constraint violated
- More than 200 rows submitted — maxItems constraint violated and request rejected
- Missing required fields (row_id, asset_group, date, bone_count, constraint_count) causes validation failure
- Invalid date format (not YYYY-MM-DD pattern) causes schema rejection
- Non-numeric or out-of-range values for bone_count or constraint_count rejected
- field enum value not one of 'bone_count' or 'constraint_count' causes error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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