WhatsApp and Telegram +44 7563 115980
[email protected]

Stripe's fraud product, trained on data across the Stripe network, covering transaction fraud, account fraud, customer abuse and disputes.
Stripe Radar scores 3.0 out of 5 (61 out of 100) in the Buckingham Intelligence Fraud Prevention Index 2026 and ranks 2 of 13. It is strongest for firms already processing card payments with Stripe, and its best criterion is fraud coverage at 4 out of 5. Not published or not stated on the pages read: coverage, detection signals, rules and case management and security and clients.
Scores from the Fraud Prevention Index 2026.
| Segment | Score out of 100 | Rank |
|---|---|---|
| For banks and lenders | 64 | 4 of 13 |
| For payment and e-money firms | 62 | 2 of 13 |
| For fintechs and marketplaces | 58 | 3 of 13 |
The score out of 5 is the overall score out of 100 divided by 20. Leader goes to the top three overall, Best for to the first in each segment, and Top rated for to a score of 5 out of 5 on a criterion. Awards cannot be bought.
Where it scores best, and where to check closely, as shown in each ranking.
Firms already processing card payments with Stripe.
What Stripe Radar publishes on its own pages, read on 26 October 2026.
Stripe's fraud product, trained on data across the Stripe network, covering transaction fraud, account fraud, customer abuse and disputes. It publishes tiered plans with backtested custom rules and Stripe's PCI Level 1 certification. Its plan prices are published only as "starting at" figures.
| Fact | What the provider publishes |
|---|---|
| Coverage | Transaction fraud prevention, account fraud prevention for platforms, multi-account and free trial abuse, and dispute management with Smart Disputes. Scams not published. |
| Pricing | Radar Standard "Starting at $10 per month", Plus "Starting at $14 per month", Pro "Starting at $20 per month" (platform tiers start at $20, $44 and $70); pay-as-you-go option; enterprise "Contact sales". |
| Signals | "AI trained on more than 70 trillion data points across the Stripe network"; bot detection. |
| Operations | Radar Plus: "Write and backtest custom rules, choose your risk tolerance, and get advanced analytics"; fraud analytics and alerting. |
| Integration | "Get started with zero code thanks to Stripe's built-in fraud protection"; APIs and SDKs; "can be used independently of Stripe Payments" for enterprises. |
| Security and clients | "Certified us to PCI Service Provider Level 1". Customer stories name FreshBooks and Anthropic. |
| Date read | 26 October 2026 |
A fact that is not published is scored as not offered or, for a fee, as if it were high. It is never estimated.
Facts read on 26 October 2026 from: stripe.com/radar, stripe.com/radar/pricing, docs.stripe.com/security.
Each score with the evidence behind it.
Each criterion is scored 0 to 5 against the best published offer in the Fraud Prevention Index. 0 means not offered or not published. How it is scored
The other providers in the same ranking, ordered by score.
| Provider | Score out of 5 | Rank | Strongest for |
|---|---|---|---|
| SEON | 3.9 | 1 of 13 | Payment and fintech firms wanting a published monthly price and fast set-up |
| Unit21 | 2.9 | 3 of 13 | US banks and fintechs needing fraud rules, investigations and SAR filing together |
| Fingerprint | 2.8 | 4 of 13 | Fintechs wanting device recognition with clear self-serve prices |
| Oscilar | 2.6 | 5 of 13 | US fintechs and payment firms wanting backtesting and case management together |
| Sardine | 2.6 | 6 of 13 | Fintechs and banks combining fraud, scams and AML in one system |
| Feedzai | 2.6 | 7 of 13 | Large banks needing scam prevention and onboarding risk on one platform |
| DataVisor | 2.6 | 8 of 13 | Banks and credit unions wanting unsupervised machine learning and case tools |
| BioCatch | 2.5 | 9 of 13 | Retail banks fighting scams, mule accounts and account takeover |
| Ravelin | 2.2 | 10 of 13 | Payment providers and online merchants fighting card fraud and chargebacks |
| Sift | 2.1 | 11 of 13 | Fintechs and marketplaces wanting a large shared data network |
| SHIELD | 2.0 | 12 of 13 | Asian e-wallets and apps stopping fake accounts at sign-up and login |
| Bureau | 1.6 | 13 of 13 | Indian lenders and marketplaces stopping fake applications at onboarding |
Side by side on every criterion, fact and award.
Tell us what you need and where you operate.