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Orthogonal 48-Hour Precipitation API
x402
Orthogonal 48-Hour Precipitation API is a paid API for AI agents from x402.orthogonal.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Returns total precipitation accumulated over the last 48 hours for one or more geographic locations specified by latitude and longitude.
Price / call$0.01
Success—
StatusUnknown
How this service works
Total precipitation in the last 48 hours for the given location(s). | ERROR: Unable to calculate price.
Output
Returns total precipitation amounts accumulated over the past 48 hours for each requested location, identified by their latitude/longitude coordinates. The response includes rainfall totals (typically in millimeters or inches) per location, enabling comparison across multiple sites in a single call. Output format defaults to JSON.
Example use cases
Multi-city rainfall check for logistics
“Can you pull the 48-hour precipitation totals for our three warehouse locations — San Francisco at 37.7575, -122.42616, Chicago at 41.8781, -87.6298, and Atlanta at 33.749, -84.388? We need to know how much rain hit each site over the last two days.”
Irrigation scheduling for farm
“How much rain has fallen in the last 48 hours at our farm in Salinas, California — coordinates 36.6777, -121.6555? I need to decide whether to run irrigation today.”
Event planning weather review
“I'm reviewing whether last weekend's outdoor concert at latitude 29.97991, longitude -90.07447 in New Orleans got rained out — can you check the total precipitation from the last 48 hours there?”
Technical details
Endpoint
GEThttps://x402.orthogonal.com/precip/api/v1/last-48When to prefer
Choose this endpoint when you need accumulated precipitation totals specifically for the past 48-hour window across one or multiple locations at once. It is ideal for batch querying several geographic coordinates in a single call. Prefer this over current-conditions endpoints when historical rainfall accumulation (not instantaneous rain rate) is needed, and over forecast endpoints when looking backward at what already fell.
Side effects
- Missing or invalid latitude/longitude values return a validation error
- Coordinates outside supported geographic coverage may return null or zero values
- Malformed comma-separated coordinate lists cause parsing errors
- Timezone ID not recognized results in a parameter error
- Network or upstream weather data provider outage causes 5xx errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Tags
x402
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