MaxMind minFraud
MaxMind minFraud: An inexpensive risk intelligence API for scoring online transactions and guiding review decisions. Ranked #5 of 30 in Payment Fraud Detection Software by our editors (8.9/10); pricing: Paid; best for teams wanting inexpensive risk intelligence APIs.
At a glance
- Editor score8.9 / 10
- PricingPaid
- Best forTeams wanting inexpensive risk intelligence APIs
- Free planNo
- Paid from$0.005/unit usage-based
- Real-time scoringYes
- Founded2002 · Malden, Massachusetts, United States
- Facts checked20 Sep 2026

Where it wins
- Real-time transaction and IP risk scoring
- Custom accept, reject, manual-review, and test dispositions
- Risk data covering IPs, emails, devices, cards, and addresses
Where it doesn't
- No free plan
- Narrower than full case-management platforms
- Decision workflows depend on API integration
Our verdict on MaxMind minFraud
MaxMind minFraud is a transaction risk API for online businesses and platforms. It evaluates transaction details including IP addresses, emails, payment cards, devices, and addresses, then returns risk scores and related risk data. Teams can apply the results to online payment decisions, fraud review, and internal risk workflows through web and API access. Its focus suits developers and risk teams that need scoring intelligence inside an existing checkout, payment, or review process rather than a standalone case-management environment.
Pricing is query-based. The minFraud Score plan costs $0.005 per query and includes overall risk scoring, IP risk scoring, custom inputs, and custom rules. minFraud Insights costs $0.015 per query and adds over 80 data points covering IPs, emails, devices, payment cards, and more, along with IP risk reasons and risk data. The minFraud Factors tier includes overall and IP risk scores, risk data, and risk score reasons. There is no free plan, but a free trial of up to 1,000 queries is available. This structure gives smaller teams a low-cost entry point while allowing buyers to pay more for broader risk context.
The product’s strongest fit is API-led fraud screening. Machine-learning risk scoring is enhanced by fraud heuristics, while device tracking, custom rules, and accept, reject, manual-review, and test dispositions support decision logic. The Disposition API can send review decisions into internal systems, and client APIs are available for multiple programming languages. That makes minFraud suitable for teams building their own payment or fraud workflows. Buyers seeking a broader operational suite with full case management should choose an alternative; teams that primarily need risk intelligence and programmable transaction decisions should consider minFraud.
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MaxMind minFraud pricing
All 3 MaxMind minFraud plans and prices →
MaxMind minFraud fact sheet
| Free plan | No |
|---|---|
| Paid from | $0.005/unit usage-based |
| Real-time scoring | Yes |
| Custom rules | Yes |
| Machine-learning models | Yes |
| Device fingerprinting | Yes |
| Chargeback guarantee | Not verified |
| Supported channels | Online |
| Included transactions | Not verified |
| Deployment | Cloud |
| Platforms | Web |
| Compliance & security | SOC 2, ISO 27001, GDPR |
| Support | Email, Live chat, Tickets, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Paid (source) |
| Website | maxmind.com |
| Facts checked | 20 Sep 2026 |
Alternatives to MaxMind minFraud
- Stripe RadarA Stripe-focused fraud tool with real-time scoring, custom controls, and flexible pricing.9.4
- Forter Trust PlatformA broad fraud decisioning platform for merchants that need automated outcomes and optional guarantees.9.2
- RiskifiedReal-time fraud decisions with chargeback coverage and commerce integrations.9.1
See all MaxMind minFraud alternatives →
MaxMind minFraud vs the competition
- MaxMind minFraud vs Stripe Radar
- MaxMind minFraud vs Forter Trust Platform
- MaxMind minFraud vs Riskified
- MaxMind minFraud vs Feedzai
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- MaxMind minFraud vs SAS Fraud Management
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Also Ranked In
MaxMind minFraud is ranked in 2 of our directories.
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Featured on iTechGuides
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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