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Rig Complexity — Record Quality Audit + Date by Category Pivot
x402
Rig Complexity — Record Quality Audit + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Runs two analytical reports on rig complexity data: a record quality audit and a date-by-category pivot, for up to 200 rows of bone_count and constraint_count data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Rig complexity — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot 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 reports: (1) a record quality audit identifying issues such as missing, null, or out-of-range values across the supplied rows, and (2) a date-by-category pivot summarizing the selected field (bone_count or constraint_count) grouped by date and asset_group. Both reports are computed locally using shared analytical engines with no external lookups.
Example use cases
Audit rig data before pipeline handoff
“I have a batch of rig complexity records with bone counts and constraint counts for several asset groups across multiple dates. Can you run a quality audit on them to flag any missing or bad values before I hand them off to the next stage in my pipeline?”
Pivot constraint counts by asset group over time
“I want to see my constraint_count data broken down by asset group and date in a pivot format. Here are my 150 rig records — can you run the date-by-category pivot report on the constraint_count field?”
Validate animation rig records for QA review
“We just exported rig complexity data for our character assets — bone_count and constraint_count for about 80 rows across several groups. Can you do a record quality audit to surface any anomalies or data issues before our QA review?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-04-017?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need simultaneous data quality auditing and date-by-category pivoting on rig complexity records (bone_count, constraint_count) in a single low-cost call. It is best suited for 3D animation, game development, or VFX pipelines where rig data needs validation and temporal grouping before downstream use. Not appropriate for live lookups, predictions, or professional rig assessments.
Side effects
- Exceeding 200 rows causes rejection
- Missing required fields (row_id, asset_group, date, bone_count, constraint_count) causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers a schema error
- Invalid field enum value (not bone_count or constraint_count) returns an error
- Empty rows array is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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