User Guide

Step 1: Create an Account

1. Navigate to the registration page
2. Fill in your username, email, and password
3. Complete the registration process
4. Verify your email address

Step 2: Enable 2FA (Recommended)

1. Log in to your dashboard
2. Click "Set up 2FA" in the security notification
3. Scan the QR code with Google Authenticator
4. Enter the 6-digit code to confirm

Step 3: Generate API Token

1. Go to your dashboard
2. Navigate to API Settings
3. Click "Generate New Token"
4. Save the token securely (it won't be shown again)

Environment Setup

Install the required dependencies for your platform:

Python

pip install requests

Node.js

npm install axios

Configuration

Store your API credentials securely:

# .env file
FRAUDGUARD_API_TOKEN=your_token_here
FRAUDGUARD_API_URL=https://api.fraudguard.com

Basic Integration

Follow these steps to integrate FraudGuard into your application:

Step 1: Initialize the Client

from fraudguard import FraudGuardClient

client = FraudGuardClient(api_token="your_token")

Step 2: Perform Fraud Checks

# Check email for fraud
result = client.check_email(email_content)

if result.is_fraud:
    print(f"Fraud detected! Score: {result.score}")
    print(f"Reasons: {result.fraud_indicators}")
else:
    print("Email appears legitimate")

Step 3: Handle Transactions

# Submit transaction for analysis
transaction = client.submit_transaction(
    sender_id="user123",
    receiver_id="user456",
    amount=150.00,
    description="Payment"
)

if transaction.requires_review:
    # Hold transaction for manual review
    notify_admin(transaction.id)
else:
    # Process transaction
    process_payment(transaction)

Advanced Integration

Webhook Setup

Configure webhooks to receive real-time notifications:

POST /api/webhooks
{
    "url": "https://yourdomain.com/webhooks/fraudguard",
    "events": ["fraud.detected", "transaction.flagged"]
}

Batch Processing

For high-volume scenarios, use batch endpoints:

POST /api/fraud-check/batch
{
    "items": [
        {"data_type": "email", "content": "..."},
        {"data_type": "sms", "content": "..."}
    ]
}

Test Mode

Use test mode to validate your integration without affecting production data:

client = FraudGuardClient(
    api_token="your_token",
    test_mode=True
)

Test Scenarios

Try these test cases:

• Legitimate email: "Hello, this is a test message"
• Phishing attempt: "Click here to verify your account immediately!"
• Suspicious SMS: "You've won ₹1000! Call this number now!"

Validation Checklist

• API authentication working correctly
• Fraud detection returning expected results
• Error handling implemented
• Rate limiting handled gracefully
• Webhooks receiving notifications

Pre-Deployment Checklist

• API tokens stored securely in environment variables
• Error handling and logging configured
• Rate limiting implemented in your application
• Monitoring and alerting set up
• Backup fraud detection strategy in place

Monitoring

Monitor these key metrics:

• API response times
• Error rates
• Fraud detection accuracy
• False positive/negative rates
• API usage vs. quota

Scaling Considerations

• Implement caching for frequently analyzed patterns
• Use async/queue systems for non-blocking fraud checks
• Consider upgrading to higher tier for better rate limits
• Implement circuit breakers for API failures