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Pressure Observations — Adjacent Row Changes + Secondary-Measure Weighted Mean
x402
Pressure Observations — 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 2026-10-29).
Computes adjacent-row delta changes and elevation-weighted mean statistics for up to 200 supplied pressure observation records
Price / call$0.01
Success—
StatusUnknown
How this service works
Pressure observations — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean for supplied pressure observations records (pressure_hpa, elevation_m). 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 derived from the supplied rows: (1) adjacent row change deltas showing how pressure_hpa (or elevation_m) shifts between consecutive records, and (2) a secondary-measure weighted mean aggregating the selected field weighted by the companion measure — all computed locally with no external lookups.
Example use cases
Weather station pressure trend analysis
“I have 80 daily pressure observations from my weather stations with pressure_hpa and elevation_m readings. Can you compute the adjacent row changes and the elevation-weighted mean for the pressure_hpa field so I can spot sudden pressure drops?”
Elevation-adjusted atmospheric baseline
“I need to calculate a secondary-measure weighted mean for my pressure readings — I have about 120 rows with station_group, date, pressure_hpa, and elevation_m columns. Please give me both the row-change deltas and the weighted mean report using elevation_m as the weight.”
Multi-station sequential pressure audit
“Can you analyze these 40 pressure observation records across three station groups and tell me the adjacent row-to-row changes plus the elevation-weighted average pressure? The field I care about most is pressure_hpa.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-05-159?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw tabular pressure observation data (up to 200 rows) and need two specific statistical outputs — adjacent row deltas and an elevation-weighted mean — without requiring live weather data, external forecasting, or professional meteorological assessment. It is ideal for offline batch analysis of historical station records where cost and speed matter.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, station_group, date, pressure_hpa, elevation_m) causes rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation failure
- Null values in both pressure_hpa and elevation_m may produce undefined weighted mean results
- Submitting fewer than 1 row returns a minItems error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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