Japan’s Free Disaster-Risk Platform Bousai DB Launches With Six-Hazard Scoring and MCP Support

Kaboshia, an AI and data analytics company, officially launched its free data platform “Bousai DB” on May 11, 2026. By entering a single address, users can check six types of disaster risk for that location: earthquake, flood, tsunami, landslide, storm surge, and liquefaction. Bousai DB divides Japan’s 1,747 municipalities into 125-meter square meshes and stores disaster-risk data for roughly 25 million locations. It integrates open data scattered across more than 10 government ministries and agencies. The service is available through a web dashboard and also provides a standard MCP Server, allowing AI agents such as Claude, ChatGPT, and Cursor to query disaster-risk data directly in natural language. Japan accounts for only about 0.25% of the world’s land area, yet experiences around 20% of global earthquakes of magnitude 6 or higher. Between 1998 and 2017, natural disasters caused economic losses of 376.3 billion dollars in Japan, or about 58 trillion yen, the third highest in the world. Despite this, only 20.4% of Japanese SMEs have formulated a business continuity plan, and the most common reason for not doing so is a lack of know-how, cited by 52.2% of companies. Kaboshia argues that the core issue is not the absence of disaster data, but fragmentation: data is spread across many agencies, formats, and delivery methods, making it difficult to use in practice. Previously, a company comparing six disaster risks across offices in Tokyo, Nagoya, and Osaka would have had to download multi-gigabyte flood-inundation datasets, process Shapefiles, geocode addresses, run spatial searches, collect tsunami, landslide, storm-surge, earthquake, and ground-condition data, and then integrate and score everything. Even a specialist GIS engineer could spend two full days on the task. Bousai DB reduces this to roughly three seconds after entering an address. The platform is fully free, requires no registration, and makes all functions available to anyone. Kaboshia also publishes its data sources and scoring logic to ensure transparency and verifiability. The company says disaster-risk data, built over decades with public funding, should not become a monetization tool for a single private company. Bousai DB aims to become a shared disaster-prevention data infrastructure with partners including disaster-prevention specialists, BCP support firms, research institutions, local governments, PropTech and InsurTech companies, and system integrators. Future plans include expanding shelter and evacuation-route data, integrating historical disaster records and local government datasets, and improving scoring accuracy through building-age and structure factors, compound-disaster modeling, and validation with academic and research partners.