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Mesh Budgets Base-100 Series and IQR Outlier Flags
x402
Mesh Budgets Base-100 Series and IQR Outlier Flags 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).
Computes Base-100 indexed time series and IQR-based outlier flags for mesh budget data (triangle_count and vertex_count) across up to 200 rows, producing 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Mesh budgets — Base-100 series + IQR outlier flags: Base-100 series + IQR outlier flags 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) a Base-100 indexed time series rebasing the selected metric (triangle_count or vertex_count) relative to the specified base row, and (2) IQR-based outlier flags identifying rows whose values fall outside the interquartile range bounds — all computed locally without external lookups.
Example use cases
3D game asset complexity trending
“I have 60 rows of daily mesh budget records for our game assets with triangle_count and vertex_count values across two asset groups — can you rebase the triangle_count series to 100 starting from the first row and flag any IQR outliers so I can see which days had abnormal polygon spikes?”
Detecting anomalous vertex counts in a character library
“Run an IQR outlier analysis and Base-100 index on this vertex_count data for our character mesh library — I have 150 rows with dates and asset_group labels, and I want to start the base index at row 0 using the vertex_count field.”
Comparing mesh budget growth across asset groups
“Can you normalize my triangle_count mesh budget data to a Base-100 series and flag statistical outliers with IQR? I've got 80 rows covering environment and prop asset groups over the last quarter, starting the baseline at index 0.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-01-164?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need both a rebased Base-100 time series and IQR outlier detection on 3D mesh budget metrics (triangle_count or vertex_count) in a single call, for up to 200 rows, without needing external data sources or live lookups. It is ideal for game developers, 3D pipeline engineers, or technical artists who want statistical normalization and anomaly detection on mesh complexity data quickly and cheaply.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, asset_group, triangle_count, vertex_count) cause rejection
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- base_index out of range (>199 or negative) causes an error
- Null values in the selected field may affect IQR computation accuracy
- Empty rows array is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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