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Mesh Budgets — Category Frequencies + Trailing Mean Series
x402
Mesh Budgets — Category Frequencies + Trailing Mean 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).
Analyzes mesh budget records (triangle_count, vertex_count) by computing category-level frequency distributions and a trailing moving-average time series, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Mesh budgets — Category frequencies + Trailing mean series: Category frequencies + Trailing mean 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 analytical reports computed locally from the supplied rows: (1) a category frequencies report showing how often each asset_group appears relative to the selected numeric field, and (2) a trailing mean time series for the chosen field (triangle_count or vertex_count) using the specified window size, covering all submitted rows up to 200 entries.
Example use cases
Game asset polygon budget review
“I've got a list of up to 150 game mesh assets with their triangle counts and asset group labels by date — can you give me the category frequencies per group and a trailing mean series with a window of 7 for triangle_count so I can see which groups are trending high?”
3D model complexity trend analysis
“I'm auditing vertex counts across my 3D model batches recorded daily for the past few months — run the category frequencies and trailing mean (window 4) on vertex_count so I can spot which asset groups are consistently heavy.”
Mesh budget compliance monitoring
“Here are 200 rows of mesh budget data with triangle and vertex counts by asset group and date — I need two reports: category frequencies and a trailing mean series with window 3 on triangle_count to check if any groups are drifting over budget over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-01-103?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured mesh budget records (with triangle_count and/or vertex_count) and need both a categorical frequency breakdown by asset group AND a trailing moving-average time series in a single low-cost call. It is ideal for offline/batch analysis of up to 200 rows without needing live data lookup, external prediction, or internet connectivity. Prefer it over general-purpose analytics tools when working specifically with 3D mesh complexity metrics and asset group segmentation.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, asset_group) cause row rejection
- Invalid date format (non-YYYY-MM-DD) triggers schema validation failure
- Window size outside 2–200 range returns a parameter error
- Null values in the selected field may reduce series accuracy or produce partial results
- Fewer rows than the window size may yield an incomplete trailing mean series
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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