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Orthogonal Hourly Soil Moisture API
x402
Orthogonal Hourly Soil Moisture API is a paid API for AI agents from x402.orthogonal.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Returns hourly soil moisture percentage relative to field holding capacity at 0-10cm depth for one or more geographic coordinates over a specified date range.
Price / call$0.01
Success—
StatusUnknown
How this service works
Hourly soil moisture percentage relative to holding capacity at 0-10cm depth | ERROR: Unable to calculate price.
Output
Returns a time series of hourly soil moisture readings expressed as a percentage relative to field holding capacity at the 0-10cm depth layer, for each requested coordinate pair over the specified date range. Data is returned in JSON format (or optionally another format) with timestamps aligned to the requested timezone.
Example use cases
Irrigation scheduling for a farm
“Get me hourly soil moisture readings at 0-10cm depth for my farm at latitude 37.7575, longitude -122.42616 from July 1 to July 15, 2025, in the America/Los_Angeles timezone so I can figure out when to irrigate.”
Drought monitoring across multiple sites
“Pull hourly soil moisture percentages relative to field capacity for three monitoring stations at latitudes 37.75750, 42.35355, and 29.97991 with longitudes -122.42616, -71.06053, and -90.07447 from May 1 to May 31, 2025, using America/Chicago time.”
Crop yield research data collection
“I need hourly 0-10cm soil moisture data for a research plot at 34.0522 latitude and -118.2437 longitude covering the entire month of April 2025 in America/Los_Angeles timezone — can you fetch that?”
Technical details
Endpoint
GEThttps://x402.orthogonal.com/precip/api/v1/soil-moisture-hourlyWhen to prefer
Choose this endpoint when you need high-resolution (hourly) surface-level soil moisture data (0-10cm) at specific geographic coordinates, especially for agricultural planning, irrigation scheduling, or environmental monitoring. It supports bulk queries across multiple coordinate pairs in a single call, making it efficient for multi-site monitoring. Prefer this over weather APIs when soil-specific hydrological data is the primary requirement rather than atmospheric conditions.
Side effects
- Missing or invalid latitude/longitude coordinates returns an error
- Date range outside available historical data may return empty or partial results
- Invalid timezone ID causes parsing or alignment errors
- Coordinates over open ocean or unsupported regions may return null or missing values
- Malformed date format (not YYYY-MM-DD) causes request rejection
- Payment failure results in 402 response blocking data access
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Tags
x402
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