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Fraud and risk detection API for future-ready platforms

Fraud prediction and feature data for building and optimizing your models

High-signal data to prevent fraud and heighten security
Real-time, network-based risk scoring and risk data
Advanced machine learning and risk modeling

Based on billions of transactions annually

The minFraud® network uncovers real-time fraud patterns, delivering accurate risk scoring and extensive data enrichment.

Powering today's integrations and workflows worldwide

Global technology network
  • Constantly evolving to identify risk patterns in a performative prediction environment
  • Lightweight, flexible API integration
Global technology network

80+ foundational data attributes for risk signals

IP address

  • Geolocation
  • Confidence
  • Anonymizers
  • Reputation
  • Risk reasons
  • User type/count
  • Static/dynamic

Email address

  • Reputation
  • Email first seen
  • Domain first seen
  • High-risk email
  • Disposable or free email

Device

  • Device ID
  • Device local time
  • Device last seen
  • Device confidence

Phone number

  • Reputation
  • Original operator name
  • Fixed/mobile
  • VoIP

Credit card

  • Card type
  • Business card
  • Prepaid card
  • Virtual card
  • Issuer information

Shipping address

  • High-risk shipping address flag
  • Distance to billing and IP addresses
  • IP geolocation matching

Gain transparency into risk scoring

Understand risk score reasons

Get insights into the factors behind a transaction's risk score for faster, more actionable decisioning, and to improve your own risk models

Manual review and risk modeling

Utilize risk score reasons for more informed manual review and risk modeling

Comprehensive signal analysis

Perform additional checks to validate competing signals and avoid double-counting risk factors from other data sources

Mission-critical security, fraud prevention, and risk management

Payment platforms
eCommerce platforms
Market research platforms
Financial services and fintech platforms
Marketing platforms with incentivized traffic or user activity

Enrich your data and increase lift

People around the globe processing data and private information using digital devices

  • Identify high-risk IP addresses

    Utilize IP risk scores and IP context for precise identification

  • Comprehensive reputation assessment

    Evaluate linkages between IP addresses, emails, shipping addresses, phone numbers, and devices

  • Velocity analysis

    Perform velocity analysis with signals from across the minFraud network, tailored for your business

  • Proxy detection and geolocation verification

    Detect proxies and verify geolocation so you know where your transactions take place

  • Transaction feedback and label data

    Submit transaction feedback reports for ever-improving risk scoring

Scale and customize according to your risk needs

Ask us about volume discounts.

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Choose which minFraud service is right for your business, with zero commitment, and no monthly minimums.

Plans and pricing

Explore the benefits of the minFraud service with both manual and integration testing.

Request a free trial

Frequently asked questions

Machine learning, a subset of artificial intelligence, refers to machines that can learn from patterns and data. They improve and adapt over time, based on the data they receive and the environment in which they operate. This enables them to excel at tasks like recognizing patterns and adapting to new factors as they arise. In simpler terms, machine learning involves algorithms that continually learn and evolve, becoming highly effective as they encounter new trends and patterns. The minFraud network is powered by the collective input of all minFraud users, along with AI-driven machine learning and data analytics. The minFraud risk scoring algorithms prioritize performance to ensure low inference times and methods that offer a high level of explainability.

API stands for Application Programming Interface. It allows different systems to communicate with each other. An API can integrate a dataset into an existing application, or enable two applications to share information seamlessly.

A transaction risk API assesses the risk associated with transaction data like IP, email, credit card, device, physical address, and more, to return a risk score and risk data that can be used to automate transaction approval/denial and provide resources for your fraud prevention team. The minFraud service is a transaction risk API for assessing the likelihood of fraud in transactions.

The minFraud service returns an overall risk score, which uses an ensemble machine learning approach enhanced by continually evolving heuristics developed by fraud experts . The model behind the risk score adapts to new fraud patterns over time based on the data and feedback you provide. You can use risk scores to determine how to respond to a transaction, whether to accept, reject, or review it more carefully, or to complement your existing fraud models.

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