Confident Weather API

ConfidentWeather is a weather API that tells you not just what the weather will be — but how much to trust that forecast. The Problem It Solves Most weather APIs return a single forecast value: "15% chance of rain," "22°C tomorrow." But they don't tell you whether that prediction is rock-solid or essentially a coin flip. For applications where weather decisions have real consequences — logistics, events, agriculture, energy — that gap matters. How It Works ConfidentWeather runs up to 133 independent weather models simultaneously and compares their predictions. When models strongly agree, confidence is high. When they diverge, you see the full range of possibilities. Instead of a single number, you get: Confidence scores (0-100) for every weather parameter Probability breakdowns across weather states (e.g. 60% mainly clear, 30% overcast, 10% light rain) Value ranges for temperature and wind speed (e.g. "12.5°C, but models say between 11-14°C") Ensemble member counts — see exactly how many of the 133 models predict rain vs dry Key Features Current weather and up to 7-day forecasts with full confidence data Multi-model ensemble comparison across physics-based and AI models Simple REST API — one call, all the confidence data included Free tier available (500 requests/day, no credit card required) Paid plans from $19/month for higher volume and detailed breakdowns What Makes It Different Traditional weather APIs give you a forecast. ConfidentWeather gives you the forecast and the metadata to evaluate its reliability. You decide what level of confidence your application needs — whether that's routing a delivery fleet, triggering an irrigation system, or deciding whether to cancel an outdoor event. The confidence data is baked into every response, not an add-on. Real Outcomes Logistics companies can flag deliveries to areas with low forecast confidence and build in buffer time Event planners can make go/no-go decisions based on whether models agree on conditions Energy traders can factor forecast uncertainty into position sizing Developers can build smarter weather features that tell users "we're fairly sure it'll be dry" rather than just "sunny" Built by a professional software developer as a first product. Uses AI-assisted development. Designed to be transparent about uncertainty — because a forecast you can evaluate is more useful than one you can't.