Radar is a toggle on the auth platform you may already use. Rupt is a standalone fraud platform for the whole user journey.
Book a 20 minute demo. We walk through your use case on real evaluations and price out your volume.
The short version
Updated August 2026
Checked against both products' public pricing pages and docs, August 2026.
Identification, intelligence, decisioning, and enforcement are one product, not four you wire together. One evaluation returns the fingerprint, the signals, the scored risks, and a verdict, and Rupt acts on that verdict. Nothing in the middle is left for you to build and then maintain.
Not an average that hides a long tail. 99 out of 100 evaluations come back inside 100ms, which is what lets you put Rupt directly in the login and signup path instead of running it after the fact.
Rupt ships with its own risks ready to go, and you can compose your own from individual indicators with your own weights and your own actions. That is real customization, not tuning a threshold on somebody else's score.
Integration setup help, developer meetings, and direct Slack and email access, with replies in hours, on every plan. Most vendors reserve that for their top tier. Don't take our word for it though, just ask our customers.
The agent protects and detects. It watches your traffic for new and emerging fraud patterns as they form, then tells you what it found and what to do about it, down to the policy changes and updates it recommends you make.
Not a single screen bolted onto a verdict. Challenges are customizable and built around an end goal, whether that's adding friction, converting a sharer into their own account, or stopping a takeover, with cooldowns and velocity controls shaping how and when someone gets challenged.
Fingerprinting, email and phone intelligence, rules, and challenges usually mean a vendor and an invoice each. Because Rupt ships them together, the bundle costs less than the sum of the point tools.
Keep your auth where it is. Rupt runs next to AuthKit or any custom stack. Load the SDK and call evaluate() on signup, login, and the actions you want covered.
Read evaluations server-side. One GET request returns the verdict, scored risks, fingerprint, and device ID.
Recreate your Radar setup as policies. Allow and deny lists carry over, per-detection responses become policy rules with thresholds you actually control, and coverage can extend to checkout and content access.
Run policies in observe mode against real traffic, compare verdicts with what Radar was flagging, then enforce and turn Radar off.
Further reading
Book a demo and we'll walk through your use case, show you the signals on real evaluations, and price out your volume.