Radar is a toggle on the auth platform you may already use. Rupt is a standalone fraud platform for the whole user journey.
The short version
Updated August 2026
Checked against both products' public pricing pages and docs, August 2026.
Every device, IP, and action rolls up to the user behind it. You investigate accounts, not anonymous requests, and the full history is already assembled when you get there.
Every signup, login, and sensitive action is evaluated, so an account's risk is tracked across its lifetime and new patterns surface as they form, not after the damage.
Risky actions trigger hosted email or SMS challenges automatically. Legitimate users clear them in seconds, attackers don't, and nobody on your team had to send anything.
Detection, decisioning, and enforcement run continuously without headcount. A team of one gets real coverage, and an established team spends its hours on judgment calls instead of triage.
The AI agent digs into flagged accounts and watches for emerging abuse patterns around the clock, so your team reviews conclusions instead of assembling evidence.
Evaluations are priced to run everywhere, from signup to checkout to content access, so you see the account's behavior end to end instead of a snapshot at the login gate.
Integration setup help, developer meetings, and direct Slack and email access with replies in hours come with every plan. Most vendors reserve that level of support for their top tier; with Rupt it's just how support works.
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.