This is the full code for the MaxMind comparison page. Copy everything in the block below into HubSpot. Both HubSpot tags are already in place. ```html MaxMind and Fraudio Compared: Strengths and Weaknesses
Fraudio Platform comparison

MaxMind and Fraudio

Both score transactions.
They answer different questions.

MaxMind's minFraud asks whether the person behind an online order looks risky, using signals such as IP address, email, device and billing details. Fraudio asks whether a payment looks risky to the institution processing it, using the transaction data that flows through acquirers and processors. Each is strong in its own setting and limited outside it.

MaxMind

IP intelligence and the minFraud transaction risk API for ecommerce businesses and developers.

Founded 2002100,000+ businesses use its dataGeoIP and minFraudPay per query
Fraudio

Payment fraud detection, merchant risk and AML for acquirers, PSPs, processors and payment networks.

Founded in AmsterdamEurope, LATAM, SE AsiaShared network model

Vendor 1

MaxMind minFraud

minFraud is a risk scoring API. A business sends details of an online transaction, such as IP, email, card, device and address, and receives a risk score and supporting data back. Scoring uses an ensemble of machine learning models combined with heuristics from fraud analysts.

+Strengths

  • Industry-standard IP intelligenceMaxMind's GeoIP data is used by more than 100,000 businesses, and its proxy and anonymous IP detection is a widely trusted reference.
  • Very low cost to startPay as you go from $0.005 per query, with no commitment, no minimums and a free trial of 1,000 queries.
  • Long track recordMore than two decades in the market, screening billions of online transactions a year.
  • Developer friendlyA lightweight API with a developer portal, simple tiers (Score, Insights, Factors) and plugins for common ecommerce platforms.
  • Broad online use casesCovers ecommerce payments, account sign-ups, referral and promotion abuse, and network security.

−Weaknesses

  • Depends on checkout-side dataIts strongest inputs, such as IP, email, device and shipping address, are collected at the merchant's checkout. Acquirers and processors often don't receive them.
  • No merchant risk monitoringminFraud scores individual orders. Watching merchants for bust-outs, collusion or transaction laundering is not part of the offering.
  • No AML or KYC suiteTransaction monitoring for money laundering, KYB, PEP and sanctions screening are not described as part of minFraud.
  • A scoring service, not a full platformCustom rules label transactions for accept, reject or review, but investigation workflows and case management are largely left to the customer.

Vendor 2

Fraudio

Fraudio scores payment transactions with a single machine learning model shared across every institution on its network. Customers add their own rules on top through a no-code editor, and manage fraud, AML and screening in one place.

+Strengths

  • Built for payment dataWorks on the transaction data that acquirers and processors already hold, with responses under 100 milliseconds and nothing to install on merchant sites.
  • Network-wide learningOne central model trained across all clients, so a pattern found at one institution protects the others from day one.
  • Merchant risk coverageA dedicated product for merchant-initiated fraud, aimed at catching merchants whose behaviour changes after onboarding.
  • Fraud and compliance togetherAML transaction monitoring, money mule detection, and KYC, KYB, PEP and sanctions screening sit alongside fraud scoring.
  • Flexible no-code rulesAn LLM-powered rule editor and a ready-made rule library that teams can deploy within minutes.

−Weaknesses

  • Narrower audienceDesigned for payment institutions. A small online shop looking for a cents-per-order check will find it more than it needs.
  • No IP and geolocation data productsFraudio does not sell standalone IP intelligence, an area where MaxMind is a long-standing reference.
  • Smaller and youngerA younger company with lower brand recognition than a vendor with two decades in the market.
  • Limited public benchmarksPublished performance figures come from the company itself. Buyers will usually want a backtest on their own data.

Side by side

Capability overview

AreaMaxMind minFraudFraudioEdge
Primary userEcommerce businesses, platforms and developersAcquirers, PSPs, processors, payment networksDepends on buyer
IP intelligence and geolocationIndustry reference, also sold as data productsNot a focusMaxMind
Transaction scoring on payment dataScores online orders using checkout detailsCore product, shared network modelFraudio for institutions
Merchant risk monitoringNot offeredDedicated productFraudio
AML transaction monitoringNot offeredBuilt on payment flows, includes money mule detectionFraudio
KYC, KYB, PEP and sanctionsNot offeredAvailableFraudio
RulesCustom rules that label accept, reject or reviewNo-code LLM rule editor and rule libraryFraudio
Cost to startFrom $0.005 per query, no minimumsPay-per-use, no setup feesMaxMind for small volumes
Time in marketSince 2002Younger companyMaxMind

Bottom line

Which fits which buyer

MaxMind fits best when…

The buyer runs its own online checkout and wants an affordable, quick-to-integrate risk score, or needs trusted IP and geolocation data. Ecommerce merchants, marketplaces and developer teams get the most from it.

Fraudio fits best when…

The buyer processes payments for many merchants and needs fraud, merchant risk and AML covered together. Acquirers, PSPs, processors and payment networks get the most from its network-trained model and its focus on the data they already hold.

The two can work side by side. A payment institution might use MaxMind's IP data to enrich its own systems while relying on Fraudio for transaction scoring, merchant monitoring and AML.

Test it against your own transactions

The fairest comparison is your own data. A backtest on your historical transactions shows what each approach would have caught.

Book a conversation
```