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Rig Complexity Data Audit — Record Quality, String Normalisation & Numeric Row Ordering
x402
Rig Complexity Data Audit — Record Quality, String Normalisation & Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Audits record quality, normalises strings, and orders rows numerically for rig complexity datasets containing bone_count and constraint_count fields (up to 200 rows, 3 reports per call).
Price / call$0.01
Success—
StatusUnknown
How this service works
Rig complexity — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering 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
Returns three independent reports for the supplied rig complexity rows: (1) a record quality audit identifying missing, invalid, or out-of-range values; (2) string normalisation results for text fields such as asset_group; and (3) a numeric row ordering of records ranked by the selected field (bone_count or constraint_count). All analysis is performed locally with no external lookups.
Example use cases
Animation studio rig data cleanup
“I have a batch of 50 rig complexity records from our character pipeline — each has a row_id, asset_group, date, bone_count, and constraint_count. Can you run a full quality audit, normalise the asset group strings, and order the rows by bone_count so I can spot outliers?”
QA check before rig data import
“Before we import these 120 rig records into our asset register, can you audit them for data quality issues, fix any inconsistent string formatting in asset_group, and sort them numerically by constraint_count?”
Comparing rig complexity across groups
“We've got rig data for two asset groups across 30 dates and I want to know which rows have quality problems, whether the group names are consistently formatted, and how they rank when ordered by bone_count — can you run those three reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-04-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured rig complexity tabular data (bone_count, constraint_count per asset group and date) and need three combined analytical outputs — quality audit, string normalisation, and numeric ordering — in a single low-cost call. Prefer it over general data validation tools when your domain is 3D animation rigging and you want all three report types bundled for up to 200 rows at a fixed price of $0.01 USDC.
Side effects
- Fewer than 1 or more than 200 rows supplied — request rejected
- Invalid date format (not YYYY-MM-DD) — row-level validation error
- bone_count or constraint_count outside allowed numeric range — flagged or rejected
- Missing required fields (row_id, asset_group, date, bone_count, constraint_count) — validation failure
- Invalid field enum value (not bone_count or constraint_count) — request error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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