The accuracy and consistency of identification - it's accurate enough to make decisions based on it, and risk signals add a lot of value. Also, integration was quick thanks to nice SDK.

Fingerprint is straightforward to implement and consistently helps us identify suspicious users. It’s been effective for preventing fraud and account abuse, while keeping friction low for legitimate customers.

We're a news site and we get scraped a lot. That was the whole reason we went looking – not fraud, not account takeover, just bots hammering our content around the clock. We looked at Cloudflare's bot stuff first (we already use them for CDN) but at the time it just wasn't detailed enough for what we needed. Fingerprint gives you the actual breakdown - VPN, residential proxy, VM, dev tools open, tampering - as separate signals instead of one score you have to trust blindly. For us that's the main thing. You can see what is hitting you and write rules against exactly that.<br><br>To give an idea of scale: over the last three months it flagged roughly 480K requests on VPN, 380K coming from VMs and 540K with tampering, and 148K classified outright as bad bots. In August we had a wave that pushed VPN traffic to about 2.5x the previous month, and instead of guessing what it was we could just look. At one point Meta's web indexer showed up in the browser list by name, which I didn't expect.<br><br>Integration was easy with React on the frontend and Django at the backend.<br><br>Support I honestly haven't needed. They email us when usage spikes, usually before we've noticed.