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Rig Complexity Data Quality Suite — Audit, Normalise & Deduplicate
x402
Rig Complexity Data Quality Suite — Audit, Normalise & Deduplicate 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 bundled analytical reports on rig complexity records (bone_count, constraint_count): record quality audit, string normalisation, and exact row deduplication — all processed locally without external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Rig complexity — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication 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 issues in bone_count, constraint_count, and other fields; (2) a string normalisation report showing standardised values for text fields like asset_group; (3) an exact row deduplication report identifying fully duplicate rows across the supplied records. All processing is local with no external calls.
Example use cases
Pre-pipeline rig data cleanup
“I need to clean up my rig complexity dataset before importing it into our pipeline — can you run a quality audit, normalise the strings, and remove any exact duplicate rows? I have about 80 records with bone_count and constraint_count per asset group.”
Duplicate rig record detection
“We've got roughly 120 rig complexity rows across several asset groups and I suspect there are duplicates — can you run the exact deduplication report and also flag any quality issues in the bone_count and constraint_count fields?”
Animation rig data validation
“Before we hand off these rig complexity records to the QA team, can you audit the data quality, normalise the asset_group strings, and check for exact duplicate rows? There are around 30 records dated from 2026-10-01 to 2026-10-30.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-04-191?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rig complexity records (with bone_count and constraint_count fields) and need all three data-quality operations — audit, string normalisation, and exact deduplication — in a single low-cost call. It is ideal for pre-pipeline data cleaning of animation rig datasets without needing any external lookup, prediction, or live data source.
Side effects
- More than 200 rows submitted — request will be rejected due to row limit
- Missing required fields (row_id, asset_group, date, bone_count, or constraint_count) cause row-level validation errors
- Date field not matching YYYY-MM-DD pattern causes parse failure
- Numeric values outside the allowed range (-1e12 to 1e12) may cause validation errors
- Empty rows array (minItems:1 not met) causes request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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