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Mesh Budgets Record Quality Audit, String Normalisation & Secondary-Measure Weighted Mean
x402
Mesh Budgets Record Quality Audit, String Normalisation & Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-27).
Runs three local analytical reports on mesh budget records (triangle_count, vertex_count): a record quality audit, string normalisation, and a secondary-measure weighted mean — up to 200 rows per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Mesh budgets — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean 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 for the supplied mesh budget rows: (1) a record quality audit flagging data issues or anomalies, (2) a string normalisation report cleaning text fields such as asset_group, and (3) a secondary-measure weighted mean computed over the chosen primary field (triangle_count or vertex_count). All computed locally with no external lookups.
Example use cases
3D asset pipeline data quality check
“I have a batch of 3D asset records with triangle and vertex counts across different asset groups — can you audit the data quality, normalise the string fields, and give me a weighted mean of the triangle counts for up to 50 rows? The asset groups are 'props', 'characters', and 'environments'.”
Mesh budget weighted mean by asset group
“I need a secondary-measure weighted mean of vertex_count across my mesh budget records. I have about 120 rows with asset groups like 'hero', 'background', and 'fx', dated throughout October 2026 — can you compute that and also flag any quality issues in the records?”
Pre-submission mesh data normalisation
“Before I submit my mesh budget spreadsheet, can you run a string normalisation and quality audit on all 80 rows? The data has columns for row_id, asset_group, date, triangle_count, and vertex_count, and I want to use vertex_count as the primary field for the weighted mean report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-01-205?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined batch analysis of mesh budget records covering data quality auditing, string normalisation, and weighted mean statistics in a single call. It is cost-efficient at $0.01 for up to 200 rows and three reports, and is ideal for 3D asset pipeline validation workflows where triangle_count and vertex_count data integrity matters. Prefer this over generic analytics tools when your data is specifically structured around mesh budget fields.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, triangle_count, vertex_count) cause row-level rejection
- Malformed dates (not YYYY-MM-DD) fail schema validation
- Null values in numeric fields may reduce weighted mean accuracy
- Invalid enum value for 'field' parameter causes request failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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