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Material Libraries — Grouped Numeric Summary + Trailing Mean Series
x402
Material Libraries — Grouped Numeric Summary + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Computes grouped numeric summaries and trailing moving-average series for material library records (material_count, texture_mb) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Material libraries — Grouped numeric summary + Trailing mean series: Grouped numeric summary + Trailing mean series for supplied material libraries records (material_count, texture_mb). 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 grouped numeric summary of the specified field (material_count or texture_mb) broken down by asset_group, including statistics like count, mean, min, max, and sum; and (2) a trailing moving-average series for the chosen field computed over the specified window size, indexed by date and row, up to 200 rows of input.
Example use cases
Game studio asset group analytics
“I've got 50 rows of material library records from our game project — each has an asset_group, date, material_count, and texture_mb. Can you group them and give me a numeric summary plus a trailing mean with window size 5 for the texture_mb field?”
Tracking material count trends over time
“Here are 120 rows of material library entries with asset groups and dates. I want to see grouped stats for material_count and also a trailing mean series with a window of 7 so I can spot trends over time.”
Comparing texture sizes across asset groups
“Can you summarize my material library records by asset_group and compute a rolling mean for texture_mb with a window of 4? I'll paste in my 80 rows with row_id, asset_group, date, material_count, and texture_mb.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-03-090?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of material library records with asset_group, date, material_count, and texture_mb fields and need both a grouped summary and a rolling mean series in a single $0.01 call. Ideal for game developers, 3D artists, or asset pipeline tools needing quick offline analytics on material data without needing live lookup, prediction, or external data enrichment.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required row fields (row_id, asset_group, date, material_count, texture_mb) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema rejection
- Window parameter outside 2–200 range — error returned
- Invalid field enum value (must be 'material_count' or 'texture_mb') — error returned
- Empty rows array — minimum 1 item required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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