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MaxMind minFraud®

MaxMind minFraud®

MaxMind minFraud®

MaxMind minFraud®

Enrich your data and augment your risk models with risk scoring and foundational intelligence on digital identifiers, powered by an extensive data network and evolving machine learning models.

Enrich your data and augment your risk models with risk scoring and foundational intelligence on digital identifiers, powered by an extensive data network and evolving machine learning models.

LendAPI Marketplace - Identity Verification - MaxMind

Integrated Partner

CATEGORIES

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Integrated Partner

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Identity Verification

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Fraud Detection

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Risk & Modeling

Resources

Website

Overview

minFraud returns real-time fraud and risk data on digital identifiers - IP addresses, emails, physical addresses, phone numbers, and devices - along with the reasons behind each risk score. Built privacy-by-design, it protects billions of transactions annually and surfaces patterns visible only across a network far larger than any single lender's.

  • Assess the risk and reputation of IP addresses, emails, addresses, phone numbers, devices, and combinations of these identifiers

  • Key-in to patterns and trends that happen on a scale beyond your network

  • Get insight into the reasons behind a transaction's risk score for faster, more actionable decisioning

Use Cases

  • Score the risk of an application's IP, email, phone, and device before underwriting begins.

  • Read the reason codes behind a score so analysts can action a decline rather than guess at it.

  • Spot coordinated fraud rings whose pattern only becomes visible across a wider data network.

  • Feed identifier risk into your own models as an additional input rather than a standalone gate.

Overview

minFraud returns real-time fraud and risk data on digital identifiers - IP addresses, emails, physical addresses, phone numbers, and devices - along with the reasons behind each risk score. Built privacy-by-design, it protects billions of transactions annually and surfaces patterns visible only across a network far larger than any single lender's.

  • Assess the risk and reputation of IP addresses, emails, addresses, phone numbers, devices, and combinations of these identifiers

  • Key-in to patterns and trends that happen on a scale beyond your network

  • Get insight into the reasons behind a transaction's risk score for faster, more actionable decisioning

Use Cases

  • Score the risk of an application's IP, email, phone, and device before underwriting begins.

  • Read the reason codes behind a score so analysts can action a decline rather than guess at it.

  • Spot coordinated fraud rings whose pattern only becomes visible across a wider data network.

  • Feed identifier risk into your own models as an additional input rather than a standalone gate.

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