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Orthogonal Cloud Cover Hourly API
x402
Orthogonal Cloud Cover Hourly API is a paid API for AI agents from x402.orthogonal.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-13).
Returns hourly cloud cover fraction (0–1 scale) for one or more geographic coordinates over a specified date range
Price / call$0.01
Success—
StatusUnknown
How this service works
Hourly cloud cover fraction (0-1, where 0 is clear and 1 is overcast) | ERROR: Unable to calculate price.
Output
Returns a time series of hourly cloud cover fraction values (0.0 = fully clear sky, 1.0 = fully overcast) for each submitted coordinate pair, indexed by local timestamp according to the specified IANA timezone. Output is available in JSON, GeoJSON, or CSV format and can cover multiple locations in a single response.
Example use cases
Stargazing window planning
“I want to plan a stargazing night this month near Denver — can you pull hourly cloud cover fractions for latitude 39.7392, longitude -104.9903 for all of October 2025 in the America/Denver timezone so I can find the clearest nights?”
Solar panel output forecasting
“For our three solar farm sites at latitudes 37.7575, 34.0522, 40.7128 and longitudes -122.4262, -118.2437, -74.006, can you fetch hourly cloud cover data for September 1 through September 30, 2025, in the America/Chicago timezone? We need it in CSV format for our model.”
Outdoor event scheduling
“We're planning an outdoor wedding in Austin, TX (30.2672, -97.7431) and need to know how cloudy it's expected to be each hour from October 10 to October 15, 2025 — can you grab the cloud cover fractions in the America/Chicago timezone?”
Technical details
Endpoint
GEThttps://x402.orthogonal.com/precip/api/v1/cloud-cover-hourlyWhen to prefer
Choose this endpoint when you need sub-daily (hourly) cloud cover resolution for specific geographic coordinates, especially for use cases like solar energy modeling, astronomy/stargazing planning, photography scheduling, or any application that requires knowing sky conditions at a precise time and place. It supports multiple locations in a single call and flexible output formats (JSON, GeoJSON, CSV), making it efficient for batch geospatial workflows. Prefer this over daily weather summary APIs when hourly granularity of sky opacity is critical.
Side effects
- Missing or malformed latitude/longitude values return a 400 error
- Date range outside available historical or forecast data window returns empty or error
- Invalid IANA timezone identifier causes request failure
- Mismatched number of latitude and longitude values causes a parsing error
- Payment failure or insufficient USDC balance returns a 402 error
- Requesting too many coordinate pairs may exceed payload or rate limits
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Tags
x402
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