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Material Libraries — Weighted Mean & Missing-Value Fill Analytics
x402
Material Libraries — Weighted Mean & Missing-Value Fill Analytics is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Computes secondary-measure weighted mean and fills missing values for material library records (material_count, texture_mb) across up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Material libraries — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill 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 2 analytical reports: (1) a secondary-measure weighted mean of the selected field (material_count or texture_mb) and (2) explicit missing-value fill results using the chosen method (zero, mean, or median), computed locally without external lookups, for up to 200 input rows.
Example use cases
Impute nulls in texture data
“Some of my material library rows are missing texture_mb values — can you fill those gaps using the mean and then give me a weighted mean report across all 50 rows? Here's my dataset with row_id, asset_group, date, material_count, and texture_mb fields.”
Weighted mean by asset group
“I need to compute a secondary-measure weighted mean for material_count across my game asset groups, using texture_mb as the weight. I have 120 rows with some null material_count entries — please fill those with zero before running the analysis.”
Audit missing values before pipeline
“Before I push my material library data into the production pipeline, can you fill any null material_count values using the median strategy and give me two analytical reports showing the weighted mean so I can spot anomalies? I've got about 80 rows across several asset groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-03-187?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both weighted mean computation and missing-value imputation in a single call for material library records with material_count and texture_mb fields, especially when you want two bundled reports for $0.01 USDC. Prefer this over generic statistics APIs when your data is structured around 3D asset groups and creative pipeline metadata.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format not matching YYYY-MM-DD pattern — validation error
- Numeric values outside the allowed range ±1,000,000,000,000 — schema rejection
- Empty rows array — minItems:1 constraint violated
- Unknown field or method enum value — schema validation failure
- Missing required fields (row_id, asset_group, date, material_count, texture_mb) — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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