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Rig Complexity Audit: Quality Check, String Normalisation & Numeric Interval Filter
x402
Rig Complexity Audit: Quality Check, String Normalisation & Numeric Interval Filter 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).
Runs three local analytical reports on rig complexity records (bone_count, constraint_count): record quality audit, string normalisation, and numeric interval filtering — for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Rig complexity — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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 identifying missing, malformed, or out-of-spec values; (2) a string normalisation report for the asset_group field; and (3) a numeric interval filter report showing which rows fall within or outside the specified minimum/maximum range for the chosen field (bone_count or constraint_count). All reports are computed locally with no external lookups.
Example use cases
Rig pipeline data quality gate
“I've got a batch of 80 rig records from our animation pipeline with bone_count and constraint_count values — can you run a quality audit on them, normalise the asset_group strings, and flag any bone_count values outside the range 5 to 500?”
Constraint count range validation
“Please validate these 120 rig complexity rows by auditing record quality, normalising asset_group names, and filtering constraint_count values — only keep entries between 1 and 250.”
Pre-export rig data cleanup
“Before we export our rig dataset, can you check data quality, clean up the asset_group strings, and filter out any bone_count entries outside 10 to 300 across these 60 records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-04-197?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined data quality audit, string normalisation, and numeric range filter on rig complexity records (bone_count, constraint_count) in a single low-cost call. Ideal for animation pipeline data validation workflows where no external lookups, ML predictions, or live data are needed. Best suited for batches up to 200 rows where all three analytical operations are required together.
Side effects
- Rows array is empty or missing — validation error
- More than 200 rows submitted — rejected with max-items error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field value not one of 'bone_count' or 'constraint_count' — enum validation error
- minimum greater than maximum — may produce empty filter result set
- Numeric values outside ±1,000,000,000,000 — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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