30yearweather.com

What It Is

30YearWeather is a weather intelligence platform based on historical weather statistics. Its core positioning is not to predict real-time weather for the next few days, but to use 30 years of historical data, including NASA POWER satellite observations, to provide references for temperature, rainfall probability, and destination climate patterns for any given date. It covers 473+ cities and is designed for advance planning scenarios such as travel, weddings, photography, outdoor activities, and educational research.

Key Features

The platform offers city climate summaries, weather lookups for specific dates, and destination filtering by month, temperature, and rainfall probability. It helps users assess whether a location has historically been rainy on a certain date, what the average temperature is like, and when it may be better to travel. For developers, it provides a REST API, including city summary, date weather, and search endpoints, with support for OpenAPI 3.1, GPT Actions, and LLM discovery files, making it suitable for integration into AI travel assistants or data analysis applications. It also offers CSV bulk data downloads for research and teaching.

Pricing

The current Free / Developer plan costs $0/month and includes all 473 cities, full API access, AI Agent compatibility, and 1,000 requests per day, but public use of the data requires attribution. Education and non-commercial research use is free, with university IPs eligible for up to 10,000 requests per day and the ability to request bulk data. Pro API pricing has not yet been officially announced, but the planned offering includes a commercial license, unlimited requests, no attribution requirement, and priority support.

Pros and Cons

Pros include a low barrier to entry, no API key required for the free tier, clear data sources and citation guidance, and strong friendliness toward AI Agents. The downsides are that its results are essentially historical probabilities and should not be treated as deterministic weather forecasts; there is also limited information on commercial pricing, SLA, enterprise support, security certifications, team permissions, and other business-oriented details. City coverage is also more focused on travel destinations.

Who It’s For

It is suitable for individual travelers, wedding and event planners, photographers, education researchers, data science courses, and AI application developers who need historical weather probability capabilities. It is less suitable for scenarios that depend on real-time weather alerts, minute-level forecasts, or enterprise-grade meteorological risk management.

Access in China

The scraped text does not provide information on access from mainland China, so it is currently rated as unknown.