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Elevation Samples — Adjacent Row Changes + Base-100 Series
x402
Elevation Samples — Adjacent Row Changes + Base-100 Series 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-to-row change analysis and base-100 indexed series for supplied elevation sample records, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Elevation samples — Adjacent row changes + Base-100 series: Adjacent row changes + Base-100 series 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 analytical reports: (1) adjacent row-to-row change values for the selected field across the input rows, and (2) a base-100 indexed series anchored at the specified base_index row — both computed locally from the supplied elevation sample records without any external lookup.
Example use cases
Elevation trend monitoring for survey stations
“I've got 50 daily elevation readings from two survey station groups and I want to see both how the elevation_m values change between consecutive rows and how they index relative to the first row — can you run the adjacent row changes and base-100 series on the elevation_m field starting from base index 0?”
Weight-normalized series for sensor calibration
“Can you analyze my sensor calibration data? I need adjacent row changes and a base-100 series computed on the sample_weight field across my 30 rows of station data, with the base set at index 0.”
Comparing elevation shifts across station groups
“I have elevation sample records for station groups alpha and beta across 15 dates — please run the two analytical reports (adjacent row changes and base-100 indexing) on elevation_m starting from base index 0 so I can see where the biggest shifts happened.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-13-155?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular elevation sample data (up to 200 rows) and need both a sequential row-difference analysis and a base-100 normalized index series computed together in a single call for a flat per-call fee. It is ideal for offline/batch analytical workflows on pre-collected sensor or survey data where no live geospatial lookup or prediction is needed.
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — exceeds maximum row limit
- base_index out of range (must be 0–199 and within actual row count)
- Missing required fields (row_id, date, elevation_m, sample_weight, station_group) on any row
- Invalid date format (must match YYYY-MM-DD pattern)
- Non-numeric values for elevation_m or sample_weight when not null
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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