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Natur Growing Degree Days Calculator
x402
Natur Growing Degree Days Calculator is a paid API for AI agents from natur.halowerk.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-13).
Accumulates growing degree days (GDD) at a geographic location from hourly forecast data using both hourly integration and the conventional daily max/min average methods, with the difference between them stated.
Price / call$0.005
Success—
StatusUnknown
How this service works
Accumulates growing degree days at a location from the hourly forecast, for a base temperature you choose. Two methods are returned side by side: the hourly integration, which is the more accurate, and the conventional average of daily maximum and minimum, which is what agronomic tables and most published thresholds are built on. Reporting only one would either be less accurate or incomparable with the literature, so both are given with the difference between them stated.
Output
Returns two GDD accumulation totals for the requested location and base temperature: (1) the hourly integration method (more accurate, derived from hourly forecast data) and (2) the conventional daily max/min average method (matching agronomic tables and published thresholds), plus the numeric difference between the two values.
Example use cases
Corn planting thermal time tracking
“I'm farming near Naperville, IL at 41.77°N, 88.15°W — can you calculate accumulated growing degree days from a base temperature of 10°C and give me both the precise hourly method and the standard daily average so I can compare against my seed supplier's GDD tables?”
Pest emergence threshold monitoring
“I need to know how many growing degree days have accumulated at my vineyard location at 38.5°N, 122.3°W using a base temperature of 7°C — show me both the hourly integration and the conventional max/min average method and the difference between them.”
Agronomic literature comparison
“For a research comparison at 51.5°N, 10.2°E, compute growing degree days with a base of 5°C and return both the high-precision hourly integration and the traditional daily max/min average alongside the difference, so I can reconcile my field data with published crop growth models.”
Technical details
Endpoint
POSThttps://natur.halowerk.com/v1/growing-degree-daysWhen to prefer
Choose this endpoint when you need GDD accumulation for agronomic decision-making and want both high-accuracy (hourly) and literature-comparable (daily average) results side by side. It is especially valuable when reconciling field observations with published crop or pest threshold tables, since most agronomic references use the daily max/min convention while finer modeling benefits from hourly integration. Prefer this over generic weather APIs that don't compute thermal accumulation directly.
Side effects
- Invalid or out-of-range coordinates return an error
- Unsupported base temperature values may be rejected
- Forecast data unavailable for remote or offshore locations
- Network timeout if weather forecast data retrieval fails
- Malformed request body returns validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| lat | number | |
| lon | number | |
| thresholds | array | Accumulated GDD values whose reaching date you want. |
| base_temp_c | number | Base temperature. 10 °C is common for maize, 5 °C for cereals. |
| upper_cutoff_c | number | Optional upper limit above which extra heat does not count. |
Tags
x402
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