Solar Autonomy Forecast is a paid API for AI agents from solar.halowerk.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-15).
Calculates how many days a battery system can run autonomously given daily solar harvest, load profile, and battery state — no weather data fetched, pure energy balance computation.
Daily energy balance and straight run-down from the figures supplied. Solar input is caller data in watt-hours per day; nothing is fetched and no weather is assumed. Time to empty means time to the reserve floor, not to zero. Idle draw and conversion efficiency apply to AC loads only. Ageing, temperature and Peukert behaviour are not modelled, which matters for lead acid far more than for LiFePO4.
Returns a daily energy balance breakdown showing net Wh generated vs consumed, the number of days of autonomy remaining before the battery reaches the reserve SOC floor, and the effective daily surplus or deficit — all based purely on the caller-supplied figures with no external data fetched.
POSThttps://solar.halowerk.com/autonomy-forecastChoose this endpoint when you need a fast, deterministic energy balance calculation from known figures — no weather API, no location, no assumptions. Ideal for off-grid solar sizing checks, trip planning, and autonomy estimation when the user already has their solar harvest figure. Prefer over weather-integrated solar forecasts when the user controls the input data and wants a pure arithmetic result. Does not model battery ageing, temperature, or Peukert effects, so best suited for LiFePO4 chemistries.
| Field | Type | Description |
|---|---|---|
| loads | array | |
| battery | object | |
| inverter | object | |
| daily_solar_input_wh | number | Expected harvest per day. |
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