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Point Clouds — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill
x402
Point Clouds — Secondary-Measure Weighted Mean + 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 2026-11-02).
Computes a secondary-measure weighted mean for point cloud records (point_count, file_mb) and fills missing values explicitly, returning up to 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Point clouds — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill for supplied point clouds records (point_count, file_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 up to 2 analytical reports per call: a secondary-measure weighted mean computed across the supplied point cloud rows (using the selected field and weighting), and a dataset with explicitly filled missing values using the chosen imputation method (zero, mean, or median). Results are computed locally with no external lookups.
Example use cases
Lidar scan dataset quality summary
“I've got a batch of lidar scan records — each has a row_id, asset_group, date, point_count, and file_mb. Can you run a weighted mean analysis on point_count using file_mb as the weight, fill any missing point_count values with the mean, and give me two summary reports?”
Point cloud inventory missing-value imputation
“My point cloud inventory CSV has some null file_mb values across about 150 rows. Can you fill those missing values using zero fill and also give me the secondary-measure weighted mean across the asset groups in two separate reports?”
Multi-group 3D scan metrics aggregation
“I have 3D scan records across several asset groups dated from October 2026 — about 100 rows total with point_count and file_mb columns. Please compute the weighted mean for file_mb, fill any gaps with the median, and return two analytical reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-22-187?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 point cloud records with point_count and/or file_mb measurements, need a secondary-measure weighted mean computed across groups, and require explicit missing-value imputation (zero, mean, or median) — all in a single low-cost call without external data dependencies or live lookups.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row-level validation failure
- Missing required fields (row_id, asset_group, date) causes row rejection
- Numeric values out of allowed range cause schema validation errors
- All values for target field are null — weighted mean cannot be computed
- Payment of 0.01 USDC not received — request blocked by x402 paywall
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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