Rupt vs. WorkOS Radar

Radar is a toggle on the auth platform you may already use. Rupt is a standalone fraud platform for the whole user journey.

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The short version

Updated August 2026

  • WorkOS Radar is a basic device fingerprinting and abuse detection bundled with WorkOS AuthKit. Its documented detections cover the auth funnel: bots, brute force, impossible travel, repeat signups, stale accounts, and unrecognized devices.
  • The signals stop at the attempt: is this login automated, is this signup repeated. Nothing tells you whether the user behind it is trustworthy, or should be allowed to take a specific action. And if your auth isn't on the WorkOS platform, the signals don't apply at all.
  • Rupt is a full fraud engine. It includes fingerprinting, email and phone intelligence, a rules engine, hosted challenges, and an AI agent that investigates accounts and monitors for new patterns.
  • Radar's first 1,000 checks are free, then $0.002 per check, the cheapest per-check price among the tools we compare. Rupt is $99 a month with 20,000 evaluations included, then $0.005 each. The difference is how much of the stack is included in that number.

Capabilities.

Checked against both products' public pricing pages and docs, August 2026.

Rupt
WorkOS Radar
Protection coverage
Fingerprinting
Industry-leading
Basic
Email intelligence
High
Domain blocking
IP intelligence
High
Basic
Phone intelligence
High
None
Rules engine
High
None
Risk insights
Named, scored risks
Pass / fail detections
Challenge engine
High
Via AuthKit
Integration effort
Medium
Low on AuthKit
Support
Slack, meetings, replies in hours
Email and Slack
Speed
< 100ms
Not published
Customization
High
Basic
Pricing
$0.005 / eval
$0.002 / check + the other layers
Unified user view
Full
None
AI agent
Industry-leading
None
Taste

Why choose Rupt.

A full fraud engine, end to end

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.

100ms at p99

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.

Risks you can actually build

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.

Unmatched support

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.

State of the art AI

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.

A challenge engine that's a whole journey

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.

Single-vendor pricing

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.

Migrating from WorkOS Radar.

  1. 01

    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.

  2. 02

    Read evaluations server-side. One GET request returns the verdict, scored risks, fingerprint, and device ID.

  3. 03

    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.

  4. 04

    Run policies in observe mode against real traffic, compare verdicts with what Radar was flagging, then enforce and turn Radar off.

Frequently asked questions.

See Rupt on your traffic.

Book a demo and we'll walk through your use case, show you the signals on real evaluations, and price out your volume.

  • A walkthrough tailored to your use case.
  • How detection, the rules engine, and challenges fit your stack.
  • Pricing and a rollout plan for your volume.

Prefer to read first? Start with the docs or check pricing.