Question: I need an API that can help my business make data-driven decisions based on hyperlocal weather conditions.

If you're looking for an API to help your business make data-driven decisions based on hyperlocal weather conditions, Atmo could be an excellent choice. Atmo is an AI-powered weather forecasting system that uses deep learning models to provide hyper-local weather forecasts with up to 50% more accuracy than traditional forecasts. It offers detailed forecasts with up to 100 times more information, including nano-climates, and can handle models as small as 1km by 1km, making it ideal for government and enterprise applications.

Another robust option is Tomorrow.io, which offers a comprehensive weather resilience platform. It provides hyper-accurate weather data and forecasts, along with real-time and historical weather APIs, automated protocols, and predictive workflows. The platform is designed to optimize operations, protect employees and assets, and build long-term resilience, making it suitable for industries like supply chain management and disaster recovery.

Weather Machine is also worth considering. It aggregates weather data from multiple forecast APIs like AccuWeather, The Weather Company, and AerisWeather into a unified interface. This tool offers parallelization, unit conversion, and advanced caching to ensure fast and accurate data delivery. Weather Machine is designed for developers and businesses that want to integrate weather data into their apps without the hassle of juggling multiple APIs.

For hyperlocal weather data with one-minute temporal resolution, Rainbow provides accurate and localized forecasts. This API is ideal for businesses needing hyperlocal weather data for applications such as ridesharing, same-day delivery and agriculture. Rainbow offers various plans and pricing options, including pay-as-you-go and enterprise solutions, making it flexible for different business needs.