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Mesh Budgets Record Quality Audit + Base-100 Series
x402
Mesh Budgets Record Quality Audit + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Runs two local analytical reports on supplied mesh budget data (triangle_count and vertex_count): a record quality audit and a base-100 index series, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Mesh budgets — Record quality audit + Base-100 series: Record quality audit + Base-100 series for supplied mesh budgets records (triangle_count, vertex_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
Returns two reports: (1) a record quality audit identifying issues such as missing values, nulls, or anomalous entries across the supplied rows; and (2) a base-100 index series for the selected field (triangle_count or vertex_count), normalizing values relative to the specified base row index. Both reports are generated locally from the supplied data with no external lookups.
Example use cases
QA audit for game asset mesh budgets
“I have a table of 50 mesh budget records for my game assets — each row has a date, asset group, triangle count, and vertex count. Can you run a record quality audit on them and also give me a base-100 index series for triangle_count starting from the first row?”
Benchmarking vertex counts across asset groups
“Here are 120 rows of mesh budget data across asset groups 'characters', 'props', and 'environments'. Can you run the base-100 index series on vertex_count using row index 0 as the baseline, and also flag any quality issues in the records?”
Pre-delivery data validation for 3D pipeline
“Before we hand off our mesh budget spreadsheet to the client, can you audit these 80 rows of triangle and vertex count data for quality issues and produce a base-100 series on triangle_count so we can see relative geometry complexity across asset groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-01-012?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular mesh budget records (triangle and vertex counts per asset group over time) and need both a data quality audit and a base-100 normalized index series in one call for under $0.01. Prefer this over general-purpose analytics tools when your data is already structured in the expected schema and you want two bundled reports without live lookups or external data enrichment.
Side effects
- Fewer than 1 or more than 200 rows submitted — validation error
- base_index out of range (must be 0–199 and within the row count) — error response
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejection
- Missing required fields (row_id, asset_group, date, triangle_count, vertex_count) — schema error
- Non-numeric values in triangle_count or vertex_count when null not intended — type error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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