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Elevation Samples — Numeric Distribution + Secondary-Measure Weighted Mean
x402
Elevation Samples — Numeric Distribution + Secondary-Measure Weighted Mean 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 numeric distribution report and a sample-weight-based weighted mean for up to 200 elevation sample records, using local analytical engines with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Elevation samples — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + Secondary-measure weighted mean for supplied elevation samples records (elevation_m, sample_weight). 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 for the submitted elevation sample rows: (1) a numeric distribution breakdown of the selected field (elevation_m) showing statistical spread characteristics, and (2) a secondary-measure weighted mean of elevation_m values weighted by sample_weight — all computed locally without any external data sources.
Example use cases
Survey elevation distribution analysis
“I collected elevation readings from 8 survey stations over the past week — each row has an elevation in meters and a reliability weight. Can you compute the numeric distribution and the weight-based average elevation for these samples? Here are the rows: row-1 2026-10-01 elevation 120m weight 2 station-a, row-2 2026-10-02 elevation 340m weight 5 station-b, row-3 2026-10-03 elevation 210m weight 3 station-a.”
Weighted mean elevation for sensor network
“I have data from a network of elevation sensors grouped into two station groups — group-north and group-south — with sample weights reflecting measurement confidence. Give me the numeric distribution report and the weighted mean elevation for these 6 records using elevation_m as the target field.”
Multi-group elevation statistics for terrain modeling
“We're doing terrain analysis and have 10 elevation sample records with associated sample weights from three station groups. Can you run the numeric distribution and weighted mean computation on the elevation_m values across all rows so we can compare the spread and central tendency?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-13-082?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of elevation measurement records with associated sample weights and need both a statistical distribution summary and a weighted mean computed in a single API call at low cost ($0.01 USDC for up to 200 rows). It is ideal for offline/batch analytical workflows on pre-collected sensor or survey data where no live geospatial lookup or external data enrichment is needed.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, elevation_m, sample_weight, date, station_group) cause validation errors
- Non-numeric elevation_m or sample_weight values fail schema validation
- Dates not matching YYYY-MM-DD pattern are rejected
- Null values in elevation_m or sample_weight may produce partial or undefined weighted mean results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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