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Mesh Budgets — Adjacent Row Changes + IQR Outlier Flags
x402
Mesh Budgets — Adjacent Row Changes + 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).
Analyzes supplied mesh budget records (triangle_count, vertex_count) to detect adjacent row changes and flag IQR-based outliers across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Mesh budgets — Adjacent row changes + IQR outlier flags: Adjacent row changes + 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 independent analytical reports: (1) adjacent row change values showing the delta between consecutive records for the selected field, and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range bounds — all computed locally without external lookups.
Example use cases
Spike detection in game asset pipeline
“I have a list of 3D mesh assets with their triangle counts recorded daily — can you check the triangle_count field for any sudden jumps between consecutive rows and flag anything that looks like a statistical outlier using IQR?”
Vertex count QA for art team
“Our art team exports mesh data every day. Can you run an adjacent row change and IQR outlier check on our vertex_count records so we can catch any geometry budgets that went out of bounds?”
Monthly mesh budget audit
“I need to audit our mesh budget records for October 2026 — please analyze the triangle_count column for both adjacent row changes and IQR-based outlier flags across all our asset groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-01-157?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local statistical analysis of 3D mesh geometry budget data — specifically adjacent row-to-row change detection and IQR outlier flagging on triangle_count or vertex_count fields. Ideal for pipelines that produce batched mesh records and need automated QA without external data dependencies. Best suited for up to 200 rows per call at a low flat cost.
Side effects
- Fewer than 1 row submitted returns an error
- More than 200 rows submitted exceeds the limit
- Invalid date format (not YYYY-MM-DD) causes validation failure
- Missing required fields (row_id, date, triangle_count, vertex_count) causes rejection
- Numeric values outside the allowed range cause schema validation errors
- Invalid field enum value (not triangle_count or vertex_count) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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