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Mesh Budgets IQR Outlier Flags and Missing Value Fill
x402
Mesh Budgets IQR Outlier Flags and 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 2026-10-17).
Detects IQR-based outliers and fills missing values in mesh budget records (triangle_count, vertex_count) for up to 200 rows
Price / call$0.01
Success—
StatusUnknown
How this service works
Mesh budgets — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + 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
Two analytical reports: (1) an IQR-based outlier flag report identifying which rows have statistically anomalous values for the chosen field, and (2) a missing-value fill report showing which null/missing entries were replaced and with what imputed value (zero, mean, or median), all computed locally without external lookups.
Example use cases
3D pipeline mesh audit
“I've got 120 rows of mesh budget data from our game asset pipeline — can you flag any triangle_count values that look like IQR outliers and fill in any missing triangle_count entries using median? Fields are row_id, asset_group, date, triangle_count, and vertex_count.”
Vertex count data cleaning
“My vertex count records have some nulls and I'm worried there are bad values too. Can you run IQR outlier detection and fill missing vertex_count values with the mean across my 80 mesh budget rows?”
Asset group outlier review
“Before I send this mesh budget report to the art director, can you check all 35 rows for triangle_count outliers using IQR and replace any missing triangle_count values with zero so nothing is blank?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-01-180?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local statistical analysis of 3D mesh budget data — specifically IQR outlier flagging combined with missing value imputation for triangle_count or vertex_count fields. It is ideal for 3D asset pipeline QA, game studio mesh audits, or any workflow where you need two complementary data-quality reports in a single cheap call without relying on external ML models or professional assessments.
Side effects
- Fewer than 1 or more than 200 rows submitted returns a validation error
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Missing required fields (row_id, asset_group, date) cause schema validation failure
- Unsupported fill method enum value returns an error
- All-null field values may prevent meaningful IQR or mean/median computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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