Stripe Radar
E-commerce fraud protection software
E-commerce software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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Pay-as-you-go
Free TrialFree version
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- Information technology and software
- Transportation and logistics
- Retail and wholesale
What is Stripe Radar
Stripe Radar is a fraud detection and prevention product built into Stripe’s payments platform to help businesses reduce card-not-present fraud and chargebacks. It is used by online merchants and platforms to evaluate payment risk, apply rules, and manage reviews within the Stripe Dashboard and APIs. Radar combines machine-learning risk scoring with configurable rules and workflows that operate in-line with Stripe payment processing. It is primarily suited to organizations that already use Stripe for payments and want fraud controls tightly integrated with checkout and payment operations.
Native Stripe payments integration
Radar operates directly within Stripe’s payment flow, so risk evaluation and enforcement happen at authorization time without a separate fraud gateway. Teams can manage fraud settings, reviews, and outcomes in the same environment used for payments operations. This reduces implementation overhead compared with standalone fraud tools that require additional data plumbing and decisioning integration. It also simplifies ongoing maintenance because payment and fraud configurations live in one platform.
Rules engine and workflows
Radar provides configurable rules to block, allow, or route payments for review based on attributes such as card, customer, device, and transaction signals available in Stripe. This supports tailored policies for different products, geographies, or risk tolerances. Review tooling in the Stripe Dashboard helps operations teams investigate flagged payments and take action. The combination of automated scoring and explicit rules supports both scale and control.
Network-level fraud signals
Radar leverages aggregated signals from transactions processed across Stripe’s network to inform risk scoring. This can help identify patterns that are difficult for a single merchant to observe, such as reused credentials or emerging attack behaviors. The approach is useful for businesses with limited historical fraud data of their own. It also supports faster iteration because models can incorporate broader ecosystem trends.
Best fit for Stripe users
Radar is designed to work with Stripe payments, which limits its usefulness for merchants that process through multiple payment service providers or need a provider-agnostic fraud layer. Organizations with complex multi-PSP routing may find it difficult to standardize fraud decisioning across processors using Radar alone. Migrating away from Stripe can also require reworking fraud tooling and historical decision logic. This can increase switching costs for some teams.
Less coverage beyond payments
Radar focuses on payment fraud and chargeback reduction rather than broader e-commerce risk areas such as account takeover, promotion abuse, content abuse, or identity verification. Businesses that need end-to-end fraud coverage across login, onboarding, and post-transaction behaviors may require additional tools. Some advanced use cases (for example, cross-channel entity resolution) may be better served by specialized risk platforms. As a result, Radar may be one component in a larger fraud stack for higher-risk merchants.
Limited model transparency and tuning
Like many ML-based fraud products, Radar’s scoring logic is not fully transparent, which can make it harder to explain individual decisions to internal stakeholders. Fine-grained model tuning options are more limited than in platforms that provide extensive feature controls, custom model training, or on-prem deployment. Teams may rely on rules and operational processes to compensate for edge cases. This can be a constraint for regulated environments or organizations with strict explainability requirements.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Radar’s machine learning | Included for accounts on Stripe Standard pricing (no additional fee). For accounts on custom pricing: $0.05 per screened transaction. | Real-time ML scoring and decisions; SCA logic for exemptions; device fingerprinting & proxy detection; basic analytics; default block rule; included in all Stripe accounts with Standard pricing. Source: Stripe Radar pricing page. |
| Radar for Fraud Teams | $0.02 per screened transaction for accounts on Stripe Standard pricing; $0.07 per screened transaction for accounts on custom pricing. (Try for free for 30 days). | Includes Radar’s ML plus advanced controls: block/allow lists, adjustable risk thresholds, transaction risk scores, custom ML, rules engine with backtesting, AI-powered Radar Assistant, rich analytics, support for Radar risk scores across multiple processors. Source: Stripe Radar pricing page and Stripe Pricing page. |
| Dispute management / Smart Disputes (related features) | Dispute deflection with Visa CE 3.0 block: $15.00 per dispute blocked. Dispute resolution (Visa): $15.00 per dispute resolved. Dispute resolution (Mastercard): $29.00 per dispute resolved. Automatic dispute response (Smart Disputes): 30% of the disputed amount (no fee if you lose; fee for receiving a dispute still applies). Smart Disputes: Available to all Payments users. | Dispute prevention (Verifi & Ethoca) and dispute resolution options integrated with Radar; fees listed on Radar pricing page. |
Seller details
Stripe, Inc.
South San Francisco, California, USA
2010
Private
https://stripe.com
https://x.com/stripe
https://www.linkedin.com/company/stripe/
