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Rig Complexity — Record Quality Audit + String Normalisation
x402
Rig Complexity — Record Quality Audit + String Normalisation 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 data quality and normalises strings for up to 200 rig complexity records containing bone_count and constraint_count fields, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Rig complexity — Record quality audit + String normalisation: Record quality audit + String normalisation 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
Two independent reports: (1) a record quality audit flagging data issues such as missing values, out-of-range numerics, and malformed fields across bone_count, constraint_count, date, and asset_group; (2) a string normalisation report showing cleaned and standardised string fields. Both reports are computed locally with no external lookups and cover up to 200 input rows.
Example use cases
Pre-pipeline rig data validation
“Before I ingest these rig complexity records into our pipeline, can you run a quality audit and string normalisation on them? I have 10 rows across asset groups 'char-hero' and 'char-npc' with bone counts ranging from 50 to 400 and constraint counts from 2 to 30, all dated between 2026-09-01 and 2026-09-10.”
Detecting bad records in animation asset batch
“I've got a batch of 50 rig complexity records and I'm worried some have null or malformed bone_count and constraint_count values — can you run a record quality audit and string normalisation so I can see which rows are problematic?”
Normalising asset group strings across studio rigs
“Our asset group names in the rig complexity data are inconsistently formatted — mixed case, extra spaces, that kind of thing. Can you run string normalisation plus a quality audit on these 80 rig records so we get clean, consistent asset_group labels and a report on any data issues?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-04-001?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, local-engine data quality auditing and string normalisation specifically for rig complexity records (bone_count, constraint_count) without any live lookup, prediction, or external enrichment. It is ideal for pre-ingestion validation of animation rig datasets of up to 200 rows at very low cost ($0.01 USDC for both reports). Prefer it over general-purpose data validation tools when your data is scoped to 3D rig complexity metrics with asset group and date dimensions.
Side effects
- Exceeding 200 rows causes rejection — batch must be split
- Missing required fields (row_id, asset_group, date, bone_count, constraint_count) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- row_id exceeding 80 characters or being empty causes schema errors
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array is not accepted (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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