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Elevation Samples — String Normalisation + Secondary-Measure Weighted Mean
x402
Elevation Samples — String Normalisation + 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 2026-10-25).
Normalises string fields and computes a sample-weight-based weighted mean for elevation measurement records, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Elevation samples — String normalisation + Secondary-measure weighted mean: String normalisation + 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
Two independent analytical reports: one covering string normalisation results for fields like station_group, and one providing the sample-weight weighted mean for the selected field (elevation_m or sample_weight), computed locally without any external lookup or live data.
Example use cases
Survey station elevation aggregation
“I've collected elevation readings from two station groups over a week — here are 80 rows each with an elevation_m and a sample_weight. Can you normalise the station group labels and compute the weighted mean elevation for me, with two reports?”
Environmental monitoring data cleanup
“I have a batch of 150 elevation sample records from our field sensors, some with inconsistent group name casing. Please normalise the strings and calculate the sample-weight weighted mean for elevation_m so I can use the results in my report.”
Multi-date weighted elevation summary
“Here are 200 daily elevation samples across multiple dates and station groups, each with a sample_weight. I need the station group strings normalised and a weighted mean of the elevation_m field — two analytical reports please.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-13-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and a weighted mean computation on elevation sample data in a single low-cost call (0.01 USDC for two reports). Ideal for small-to-medium datasets (up to 200 rows) where you want offline, deterministic analytics without live lookups or external data enrichment.
Side effects
- More than 200 rows submitted — request rejected due to row limit
- Missing required fields (row_id, elevation_m, sample_weight, date, station_group) cause validation errors
- Null or non-numeric values in elevation_m or sample_weight may affect weighted mean computation
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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