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Rig Complexity — Exact Row Deduplication + IQR Outlier Flags
x402
Rig Complexity — Exact Row Deduplication + 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).
Deduplicates rig complexity records and flags statistical outliers using IQR analysis on bone_count and constraint_count fields for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Rig complexity — Exact row deduplication + IQR outlier flags: Exact row deduplication + 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 reports for the submitted rows: (1) an exact-row deduplication report identifying which rows are duplicates, and (2) an IQR outlier flagging report marking rows whose selected numeric field (bone_count or constraint_count) falls outside the interquartile range bounds. Reports are computed locally with no external lookups.
Example use cases
Clean rig dataset before pipeline export
“I have 120 rig complexity records from our character team with bone_count and constraint_count — can you deduplicate them exactly and flag any bone_count outliers using IQR before I push them to the pipeline?”
Spot anomalous rigs in a batch review
“We just exported a rig audit spreadsheet with up to 180 rows including row_id, asset_group, date, bone_count, and constraint_count. Can you run IQR outlier detection on constraint_count and also remove any exact duplicate rows?”
QA check on animation rig complexity data
“Before signing off on this rig QA pass, can you check these 75 rig records for exact duplicates and tell me which ones have statistically unusual bone_count values based on the IQR method?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-04-049?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local statistical data quality checks specifically on 3D rig complexity metrics (bone_count, constraint_count) — no external model, prediction, or live lookup is involved. Ideal for pre-pipeline data cleaning workflows where exact deduplication and IQR-based outlier detection on numeric rig fields are needed in a single low-cost call. Not suitable if you need predictive modeling, professional rig assessment, or datasets larger than 200 rows.
Side effects
- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds batch limit
- Missing required fields (row_id, asset_group, date, bone_count, or constraint_count) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field selector not one of 'bone_count' or 'constraint_count' — enum validation error
- All rows are identical — deduplication report shows full collapse with no unique rows remaining
- Insufficient data variance for IQR computation when dataset is very small
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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