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Mesh Budgets — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill
x402
Mesh Budgets — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill 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).
Computes secondary-measure weighted mean and fills missing values for mesh budget records (triangle_count, vertex_count) across up to 200 rows, producing two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Mesh budgets — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill 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 analytical reports: (1) secondary-measure weighted mean of the selected field (triangle_count or vertex_count) weighted by the other measure, and (2) the dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Results are computed locally without external lookups.
Example use cases
Game asset polygon budget analysis
“I have 150 rows of 3D game asset records with triangle_count and vertex_count per asset group. Please compute the weighted mean of triangle_count weighted by vertex_count, filling any nulls with the median, and generate two analytical reports covering October 2026.”
Missing vertex data imputation for mesh pipeline
“My mesh budget export has some missing vertex_count entries. Can you fill those gaps using zero imputation and compute the secondary-measure weighted mean of vertex_count across my asset groups? I have about 80 rows dated between 2026-10-01 and 2026-10-31.”
Cross-group mesh complexity comparison
“I need to compare mesh complexity across group-a and group-b using about 50 budget rows. Run the secondary-measure weighted mean on triangle_count with vertex_count as the secondary measure, use mean imputation for any missing values, and give me the two analytical reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-01-187?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular mesh budget data (triangle_count, vertex_count) and need both a secondary-measure weighted mean and explicit missing-value imputation in a single low-cost call ($0.01 USDC). Ideal for 3D asset pipeline analytics, game development budget reviews, or any workflow requiring statistically weighted aggregation of polygon/vertex data with null handling — all computed locally without external data dependencies.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- row_id missing or empty — validation error
- field or method enum value not recognized — validation error
- All values for the selected field are null — weighted mean may be undefined or return NaN
- Payment not received or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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