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Mesh Budgets — Date by Category Pivot + Explicit Missing-Value Fill
x402
Mesh Budgets — Date by Category Pivot + Explicit 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 2026-10-27).
Pivots mesh budget data (triangle_count, vertex_count) by date and asset category, and fills missing values using zero, mean, or median methods, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Mesh budgets — Date by category pivot + Explicit missing-value fill: Date by category pivot + 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
Returns two analytical reports: (1) a date-by-category pivot table reorganizing the supplied mesh budget rows by date and asset_group for either triangle_count or vertex_count, and (2) a missing-value-filled version of the dataset using the specified fill method (zero, mean, or median). Both reports are derived locally from the supplied data with no external lookups.
Example use cases
Game asset complexity budget review
“I have 120 rows of mesh budget data for our game assets — each row has a row_id, asset_group like 'characters' or 'environment', a date, and triangle_count values (some are missing). Can you pivot that by date and asset group and fill the missing triangle_counts using median?”
3D pipeline vertex count gap filling
“My 3D pipeline tracking sheet has vertex_count entries across several asset groups and dates, but there are gaps. Can you reshape it into a date-by-category pivot and fill those missing vertex_count values with zeros?”
Monthly mesh budget cross-group comparison
“I need to compare triangle counts across different asset groups over the past few months. Can you take my 80 mesh budget records and produce a date-by-category pivot with missing values filled using mean imputation?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-01-189?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to both reshape mesh budget records into a date-by-category pivot AND handle missing numeric values in a single paid call. It is purpose-built for 3D asset pipeline analytics involving triangle_count and vertex_count fields across asset groups and dates, and bundles two local analytical reports for $0.01 USDC. Prefer it over general-purpose analytics tools when your data fits the 200-row limit and you need reproducible offline computation without external data lookups.
Side effects
- Fewer than 1 or more than 200 rows supplied — request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, asset_group, date) — validation failure
- Invalid field enum value (not triangle_count or vertex_count) — rejection
- Invalid method enum value (not zero, mean, or median) — rejection
- All values present with no missing data — fill report returns unchanged data
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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