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Pressure Observations — Numeric Distribution + Trailing Mean Series
x402
Pressure Observations — Numeric Distribution + Trailing Mean 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 a numeric distribution and trailing mean time series for user-supplied atmospheric pressure and elevation observation records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pressure observations — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean series 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
Returns two analytical reports for the supplied dataset: (1) a numeric distribution showing the spread and frequency of values for the chosen field (pressure_hpa or elevation_m), and (2) a trailing mean series showing the rolling average over the specified window size. Both reports are computed locally on the submitted data (up to 200 rows) with no external data lookups.
Example use cases
Weather station pressure trend analysis
“I collected barometric pressure readings from three station groups over the past month — can you compute a numeric distribution and trailing mean (window of 7) on the pressure_hpa field for these 90 rows of data?”
Elevation-pressure correlation summary
“Can you run a numeric distribution and trailing mean series on the elevation_m field for these 50 weather observation records so I can see how elevation values are spread and trending over time? Use a window of 4.”
Quality check on sensor pressure logs
“I have 150 rows of pressure sensor data with station groups, dates, and pressure_hpa readings — please generate a numeric distribution and a rolling mean series with window size 10 so I can spot any anomalies.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-05-076?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have your own pressure or elevation observation records (up to 200 rows) and need fast, self-contained statistical analysis — specifically a numeric distribution and a trailing mean time series — without any live data fetching, external API lookups, or forecasting. Ideal for post-hoc analysis of weather station logs, sensor exports, or manually collected barometric data.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, station_group, date, pressure_hpa, elevation_m) causes a schema rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- Window size outside range 2–200 is rejected
- Null numeric values may affect distribution and trailing mean accuracy
- Empty rows array is rejected (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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