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Elevation Samples — Adjacent Row Changes + Secondary-Measure Weighted Mean
x402
Elevation Samples — Adjacent Row Changes + 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 adjacent-row delta changes and a sample-weight-based weighted mean for up to 200 elevation measurement records, returning both analytics in a single call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Elevation samples — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + 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) adjacent row changes showing the delta in the selected field (elevation_m or sample_weight) between consecutive records, and (2) a secondary-measure weighted mean that uses sample_weight to compute a weighted average — all computed locally with no external lookups, covering up to 200 input rows.
Example use cases
Elevation survey trend analysis
“I have 50 elevation readings from a hillside survey, each with a sample weight. Can you compute the adjacent row changes and the weighted mean of the elevation_m values, grouped by station, so I can see where the terrain shifts most sharply?”
Weighted mean for sensor quality scoring
“My sensor network logged elevation_m and a sample_weight per reading for each station group over the past month — run the adjacent row delta report and the sample-weight weighted mean on all 180 rows and give me both results.”
Construction site elevation QA
“We collected 120 elevation samples across two site groups with corresponding sample weights. Can you compute the row-over-row elevation changes and the weighted average elevation for the elevation_m field so our QA team can flag anomalies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-13-159?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular elevation sample data with associated sample weights and need both sequential (row-to-row) change analysis and a weighted mean in a single low-cost call. It is ideal for offline/batch analytical tasks on pre-collected survey data where no live data lookup, prediction, or external enrichment is needed. Prefer it over general-purpose data tools when the data fits within 200 rows and cost efficiency matters ($0.01 USDC for both reports).
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, elevation_m, sample_weight, station_group) cause validation errors
- Invalid date format (non-YYYY-MM-DD) triggers pattern validation failure
- null values in elevation_m or sample_weight may produce null or undefined deltas
- Invalid field enum value (not 'elevation_m' or 'sample_weight') causes rejection
- Payment of 0.01 USDC not provided — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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