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Elevation Samples — Numeric Row Ordering & Weighted Mean Analytics
x402
Elevation Samples — Numeric Row Ordering & Weighted Mean Analytics is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-05).
Computes numeric row ordering and secondary-measure weighted mean across up to 200 elevation sample records (elevation_m, sample_weight) without any live data lookup.
Price / call$0.01
Success—
StatusUnknown
How this service works
Elevation samples — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + 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 supplied elevation sample rows: (1) numeric row ordering of records by the selected field (elevation_m or sample_weight), and (2) a secondary-measure weighted mean computed using sample_weight as the weighting factor. No external data is fetched; all computation is local to the analytical engine.
Example use cases
Ranking elevation station readings
“I have 50 elevation sensor readings from different stations with their sample weights — can you rank them numerically by elevation_m and calculate the weighted mean across all readings?”
Weighted mean for survey sample batches
“I've collected elevation measurements from two survey groups over the past week, each with a sample weight. Can you order the rows by elevation value and give me the weighted average elevation using those weights?”
Quality check on elevation dataset ordering
“I need to verify the numeric ordering and weighted mean of my elevation dataset before I submit it — here are 12 rows with their station groups, dates, elevation_m values, and sample_weights. Can you run both reports on the elevation_m field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-13-121?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular elevation measurement data (up to 200 rows) and need both a numeric row ranking and a weighted mean computed locally without any live API lookups, predictions, or external data enrichment. It is well-suited for preprocessing or auditing elevation survey datasets before further analysis.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, elevation_m, sample_weight, date, station_group) cause validation errors
- Invalid date format (must match YYYY-MM-DD) triggers schema rejection
- Null values for elevation_m or sample_weight may affect weighted mean computation
- Field enum value outside 'elevation_m' or 'sample_weight' causes input rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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