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Rig Complexity Data Audit, Normalisation & Date-Category Pivot
x402
Rig Complexity Data Audit, Normalisation & Date-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 2026-10-21).
Runs three local analytical reports on rig complexity records (bone_count, constraint_count): record quality audit, string normalisation, and a date-by-category pivot — up to 200 rows per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Rig complexity — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot for supplied rig complexity records (bone_count, constraint_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports: (1) a record quality audit flagging nulls, out-of-range values, and structural issues in the supplied rows; (2) a string normalisation report standardising asset_group and row_id text fields; (3) a date-by-category pivot table summarising the selected numeric field (bone_count or constraint_count) by asset_group across dates. All computed locally with no external calls.
Example use cases
Pre-pipeline rig data quality check
“Before I import my rig complexity export into the pipeline, can you audit these 50 rig records for quality issues, normalise the asset_group strings, and give me a date-by-category pivot on bone_count? Here are the rows with row_id, asset_group, date, bone_count, and constraint_count.”
Asset group trend analysis by date
“I want to see how bone_count trends across my asset groups over October 2026 — can you run a date-by-category pivot on these 120 rig complexity records and also flag any string inconsistencies in the asset_group field?”
Constraint count normalisation report
“Can you run the three-report suite — quality audit, string normalisation, and date pivot — on my constraint_count data for these rig records? I have about 80 rows covering group-a and group-b assets, and I want to use constraint_count as the primary field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-04-206?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined analytical passes — quality audit, string normalisation, and date-category pivot — on rig complexity records (bone_count, constraint_count) in a single low-cost call. It is purpose-built for 3D animation/rigging data with asset_group and date dimensions, and bundles three reports for $0.01 USDC. Prefer alternatives if you need live data lookup, predictive analytics, more than 200 rows, or reports on non-rig data domains.
Side effects
- More than 200 rows submitted — request rejected, batch must be split
- Missing required fields (row_id, asset_group, date, bone_count, constraint_count) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- field enum value not one of bone_count or constraint_count — rejected
- Numeric values outside allowed range (±1,000,000,000,000) — schema error
- Empty rows array — minItems:1 constraint violated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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