Ravelin

Ravelin is a paid fraud-prevention and payments platform for online merchants and payment service providers. It covers payment fraud, refund and promotion abuse, account security, partner fraud, 3D Secure, and transaction optimization. Its detection combines machine learning, behavioral analysis, graph networks, consortium data, and expert rules. Ravelin says its consortium database contains more than 9 billion anonymized identity elements and is GDPR-compliant. For payment fraud integrations, customers send transaction and dispute details through an API and receive a recommendation about whether to continue processing. Teams can test rules in a sandbox, predict their impact, manage the ruleset, and generate rules from natural-language prompts. Ravelin Insights adds performance monitoring, transaction-anomaly investigation, an AI query builder, and custom reports and dashboards. Its transaction optimization uses issuer behavior, PSD2/SCA intelligence, and risk signals to recommend payment routes. Integrations include APIs, browser JavaScript, and iOS and Android SDKs. Pricing is on request. Ravelin was founded in 2014 and is based in London, UK.

Ravelin brings fraud prevention, payment optimization, and rule management into one platform, with multiple integration options and dedicated support. Businesses will need to request pricing and assess how its online-focused tools fit their requirements.

Ravelin is aimed at online merchants and payment service providers seeking fraud prevention, account security, or payment optimization. Its listed integrations and dedicated account and technical support teams may suit businesses planning a platform integration.

Ravelin is an AI-driven fraud and payments platform for online merchants and payment service providers. It is most suitable for high-volume businesses that want coordinated controls across payment risk, account abuse and payment routing. Its broad coverage and implementation support are strong reasons to shortlist it, while custom pricing and online-only support narrow its audience.

Overview

Founded in 2014 and headquartered in London, Ravelin makes transaction decisions through a payment-fraud API: a merchant sends transaction and dispute data and receives a recommendation on whether to proceed. Its detection stack combines custom machine-learning models, graph networks, behavioral analysis, consortium data and expert rules. The consortium contains more than 9 billion anonymized identity elements, adding shared context while Ravelin says the data is GDPR-compliant.

The scope extends beyond payment fraud to refund abuse, account takeover, multi-accounting, promotional and voucher abuse, partner and supplier fraud, registration abuse, 3D Secure and transaction optimization. That breadth favors merchants seeking one risk program rather than a narrowly focused chargeback product.

Key features

Rules, scoring and investigation

Real-time scoring, custom rules and device fingerprinting give risk teams direct control over decisions. Sandbox testing and impact predictions let teams assess rule changes before deployment, and the AI rule generator converts natural-language instructions into rule logic. This is useful for organizations that need frequent policy changes without surrendering governance.

Ravelin Insights adds performance monitoring, transaction-anomaly investigation, an AI query builder, and custom reports and dashboards. Those tools should help analysts move from a suspicious event to an explanation, although teams still need the expertise to interpret the resulting signals and set appropriate policies.

Payments, abuse and agent traffic

The transaction-optimization service uses issuer behavior, PSD2/SCA intelligence and risk signals to recommend payment routes, linking fraud controls with authorization performance. Ravelin also labels automated agent transactions, applies custom conditions to them and presents dedicated Agent Details blocks, a targeted capability for merchants dealing with non-human purchasing activity.

3D Secure and integrations

The 3DS Server supports versions 2.3.1, 2.2.0 and 2.1.0 and is EMVCo approved. Certification covers Visa Secure, Mastercard Identity Check, Discover ProtectBuy, American Express SafeKey, Cartes Bancaires FAST’R by CB, JCB J/Secure, UnionPay 3-D Secure and Eftpos. Integration options include API endpoints, browser JavaScript, iOS and Android SDKs, with guides for payment, account-takeover, refund, voucher, registration, supplier and graph integrations.

Ravelin states that it is PCI DSS and PCI 3DS certified and assessed as conforming to ISO 27001:2022 requirements. Customers receive a dedicated account manager, integrations, product-support and data-science teams; account-takeover projects also receive a dedicated project manager and integration engineer.

Pricing

Ravelin sells a single Customized Ravelin platform plan with custom pricing. It is tailored to business goals, risk appetite and setup, and prospects must contact Ravelin for a demo or call. The plan includes custom rules, real-time scoring, machine-learning models and device fingerprinting. There is no chargeback guarantee, and supported channels are online.

Custom pricing can make sense for a large merchant that needs a broad deployment and dedicated specialists, but it prevents a straightforward budget comparison and offers no low-cost tier for a small operation. Businesses should establish expected transaction volume, implementation scope and ongoing service costs before committing.

Platforms

Ravelin supports Android, iOS, web and API integrations. Its browser and mobile SDK options suit merchants operating across websites and apps, while the API supports direct payment-workflow integration. The supported channel is online, so businesses with substantial in-person fraud requirements should look elsewhere.

Who it's for

Ravelin fits ambitious online merchants and payment service providers with enough volume to justify a tailored fraud program. It is particularly compelling for teams that need payment, account, promotion and refund controls in one system, or that want payment-routing decisions alongside fraud scoring. Smaller companies seeking transparent self-service pricing, and organizations focused on offline transactions, are less likely to benefit.

Pros and cons

Pros

• Broad abuse coverage: Payment, account, refund, promotion, partner and registration risks are handled within one platform.
• Deep rule governance: Sandboxes, impact predictions and full ruleset control support safer policy iteration.
• Large shared signal base: More than 9 billion anonymized identity elements can supplement merchant data.
• Strong integration support: API, browser, iOS and Android options are backed by dedicated account, integration and data-science teams.
• Extensive 3DS reach: Multiple protocol versions and major card-scheme certifications support international online checkout.

Cons

• Custom pricing only: Buyers cannot estimate cost from a published rate or entry plan.
• No chargeback guarantee: Merchants wanting financial protection on approved orders need another model.
• Online-only channel: The platform is not positioned for a blended online and in-store fraud program.
• Enterprise-oriented setup: Its breadth and dedicated teams may exceed the needs of a small merchant.

Alternatives

FraudLabs Pro is the better starting point for a lower-cost, freemium deployment: its Micro plan is free, allows 500 queries per month and includes five validation rules, but has no grouping rules or sub accounts.

IPQualityScore Fraud Prevention suits teams wanting a free tier with 1,000 lookups per month, 10 custom rules and a 35-lookups-per-day limit; its Startup plan is $99.00.

Stripe Radar is preferable when fraud prevention is already part of a Stripe payments setup, with Radar Lite included at no additional charge under standard payments pricing.

Vesta is another paid option for merchants comparing dedicated fraud platforms.

DataVisor Fraud Platform offers a custom enterprise platform and requires a demo request.

Ethoca is a paid alternative for organizations evaluating another fraud and dispute-services provider.

Sift Payment Protection uses contact-based custom pricing for its Payment Protection plan.

Signifyd Guaranteed Fraud Protection charges custom usage-based fees as a percentage of approved order value and does not charge for orders declined as fraudulent.

For broader comparisons, see the Payment Fraud Detection Software and Fraud Detection Software lists.

Verdict

Its main advantage is the combination of broad coverage, controllable rules and extensive payment integrations. Look elsewhere if you need published pricing, a free or small-business tier, a chargeback guarantee or meaningful offline-channel support.