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Mesh Budgets — Record Quality Audit + IQR Outlier Flags
x402
Mesh Budgets — Record Quality Audit + 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).
Performs a data quality audit and IQR-based outlier detection on up to 200 rows of mesh budget records (triangle_count and vertex_count), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Mesh budgets — Record quality audit + IQR outlier flags: Record quality audit + 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
Two independent analytical reports: (1) a record quality audit highlighting data completeness, formatting issues, and suspect values across the supplied rows, and (2) IQR-based outlier flags identifying which row IDs have triangle_count or vertex_count values statistically anomalous relative to the submitted dataset.
Example use cases
Game asset mesh budget QA
“I've got 120 rows of mesh budget data for our game assets — each row has a row ID, asset group, date, triangle count, and vertex count. Can you audit the triangle_count field for data quality issues and flag any IQR outliers before we submit to the build pipeline?”
3D scene polygon count anomaly detection
“We collected mesh stats across multiple asset groups over the past quarter. Can you run a record quality audit and IQR outlier detection on the vertex_count field for these 80 rows so we can spot any assets that look way off compared to the rest?”
Weekly mesh budget data validation
“Every week we log triangle and vertex counts per asset group. Can you check this week's 40 mesh budget records for data quality issues and flag any triangle_count values that fall outside the IQR range as outliers?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-01-014?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, low-cost ($0.01 USDC) combined data quality audit and IQR outlier detection pass on 3D mesh budget tabular data (triangle and vertex counts), without needing external lookups, predictions, or professional assessments. Ideal for pre-pipeline validation of mesh budget exports or periodic batch QA on asset group geometry data.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, triangle_count, vertex_count) causes rejection
- Invalid date format (non-YYYY-MM-DD) triggers schema validation failure
- Null values for both numeric fields on a row may reduce outlier detection accuracy
- Providing fewer than 4-5 rows may make IQR statistics unreliable or undefined
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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