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Mesh Budgets — Record Quality Audit + String Normalisation + Numeric Distribution
x402
Mesh Budgets — Record Quality Audit + String Normalisation + Numeric Distribution 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 independent analytical reports (record quality audit, string normalisation, and numeric distribution) on supplied mesh budget records with triangle_count and vertex_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Mesh budgets — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution for supplied mesh budgets records (triangle_count, vertex_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 returned together: (1) a record quality audit flagging missing, malformed, or out-of-range values across the supplied rows; (2) a string normalisation report identifying inconsistencies in text fields like asset_group; (3) a numeric distribution report summarising the statistical spread (min, max, mean, percentiles, outliers) of the selected numeric field (triangle_count or vertex_count). Covers up to 200 rows per call.
Example use cases
Pre-pipeline mesh data validation
“Before I ingest these 120 mesh budget rows into our asset pipeline, can you run a full record quality audit and check the triangle_count distribution to flag anything weird or malformed?”
Asset group string cleanup check
“My asset_group labels in this mesh budget dataset are a bit inconsistent — can you run the string normalisation report on these 80 rows so I can see what needs cleaning?”
Vertex count distribution analysis
“Give me a numeric distribution report on the vertex_count field across all 60 rows of my mesh budget data so I can see the spread and spot any outliers before setting our LOD budgets.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-01-193?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of 3D mesh budget data (triangle_count, vertex_count) and need all three analytical passes — quality audit, string normalisation, and numeric distribution — bundled into a single low-cost call. It is ideal for pre-pipeline data hygiene checks on game or 3D asset datasets where no external lookup or prediction is needed, just local statistical analysis of your supplied records.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, asset_group, triangle_count, vertex_count) causes row-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern fail pattern validation
- Payment not included or insufficient USDC causes 402 payment required response
- Numeric values outside ±1,000,000,000,000 boundary are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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