Enterprise Fraud Prevention
Machine learning meets real-time data for ultimate protection
AI-Powered Risk Scoring
Machine learning models analyze 150+ fraud indicators in real-time
Behavioral Analysis
Detect anomalies in user behavior and transaction patterns
Global Threat Intelligence
Access to worldwide fraud databases and blacklists
Multi-Factor Verification
Combine phone, email, IP, and device intelligence for complete protection
Protecting Global Businesses
E-commerce Protection
Block fraudulent transactions before shipping with 96% accuracy
89% fraud reduction
Account Takeover Prevention
Detect and prevent unauthorized access attempts in real-time
94% ATO blocked
Payment Fraud Detection
Identify high-risk payments using behavioral and data signals
3.2x ROI
Identity Verification
Multi-layered identity checks for onboarding and KYC
92% approval rate
Intelligent Fraud Prevention API
Multi-layered fraud detection with ML-powered insights
// Comprehensive fraud detection check
const response = await fetch('https://api.1lookup.io/v1/fraud/detect', {
method: 'POST',
headers: {
'Authorization': 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json'
},
body: JSON.stringify({
phone: '+14155552671',
email: 'user@example.com',
ip_address: '192.168.1.1',
transaction_amount: 299.99,
user_agent: 'Mozilla/5.0...',
device_id: 'abc123',
behavior_data: {
session_duration: 145,
pages_viewed: 8,
time_to_purchase: 623
}
})
})
// Response in 187ms
{
"fraud_score": 82,
"risk_level": "high",
"recommendation": "manual_review",
"risk_factors": [
{
"factor": "phone_recently_ported",
"severity": "high",
"description": "Number ported 3 days ago"
},
{
"factor": "email_domain_age",
"severity": "medium",
"description": "Email domain registered 15 days ago"
},
{
"factor": "ip_proxy_detected",
"severity": "high",
"description": "Residential proxy service detected"
}
],
"verifications": {
"phone_valid": true,
"email_deliverable": true,
"ip_residential": false,
"device_trusted": false
},
"intelligence": {
"phone_carrier": "T-Mobile",
"email_reputation": "neutral",
"ip_location": "US",
"device_fingerprint": "suspicious"
},
"ml_insights": {
"pattern_match": "account_takeover_attempt",
"confidence": 0.87,
"similar_fraud_cases": 142
},
"delay": 0.001872,
"tokens_used": 10
}Technical Specifications
Risk Indicators
150+ signals
Response Time
187ms average
Accuracy
96% precision
ML Models
12 algorithms
Token Cost
10 tokens
Price
$0.01 per check