INNOVATION LAB

HazardHub is the only third-generation provider of property-level hazard risk databases.
Our team of scientists translates huge amounts of geospatial digital data into easy-to-understand answers, providing risk assessments that can be used to make real-world decisions. HazardHub provides comprehensive, national coverage for risks that destroy and damage property, including perils from air (wind, hail, tornado, lightning), water (flood, coastal storm surge, distance to the shore), earth (earthquake, brownfield, Superfund, Underground Storage Tanks, elevation) and fire (wildfire risk, fire protection, distance to the nearest fire stations), as well a vast set of property characteristics.

California, US

FAQ

Most frequent questions and answers

It’s easy to get started with HazardHub. Just go to api.hazardhub.com and sign up for an account. Make sure you use an accurate (and real) email address, as that address is tied to your API key. We’ll give you 10 lookups a day for testing. Unfortunately, we’re not able to accept non-work addresses.

If you’re only looking for hazard data, the return usually comes in less than 2 seconds. If you add property characteristic data, the return is roughly 2.5 seconds.

In our API we provide market value (high and low) and assessed value. We can also provide Replacement Costs via our partner, e2Value, for a slight upcharge.

At HazardHub, we want you to be convinced that our data is great before you ever buy it. We’ll test up to 1,000 records for free. You send us a file and we’ll generally have it back the same day. To learn more about a test, contact support@hazardhub.com.

The truth is that the “sure bets” aren’t really so sure. They rely on outdated methodologies and technologies. People use them more out of habit than anything else.
 
You should trust HazardHuub for two main reasons. The first is that we’ve done this before. Many of the tools people currently use are built on the science we built at other companies. The second is that we’re always working hard to improve. Big companies get satisfied and move slowly. That’s not us – we’ve developed more new data in the last 2 years than our competitors have – combined –  in the last 10.