Email Verification

Detect fraudulent, disposable, and risky email addresses.

Overview

Email verification analyzes multiple signals:

• Syntax validation - Is the format correct?
• Domain analysis - Is the domain real and established?
• Disposable detection - Is it a temporary email?
• Breach checking - Has this email been compromised?
• Pattern analysis - Does it match fraud patterns?

Using Email Verification

curl -X POST https://api.simplr-ai.com/v1/check \
  -H "X-API-Key: sk_live_xxxxx" \
  -d '{"email": "user@example.com"}'

Email Signals

Signal	Description	Risk Impact
is_disposable	Temporary email service	High
is_free_provider	Gmail, Yahoo, etc.	Low
has_mx_records	Domain can receive email	Medium if missing
domain_age_days	How old the domain is	High if new
has_breaches	Found in data breaches	Medium
breach_count	Number of breaches	Increases risk

Risk Scoring

Condition	Score Impact
Disposable email	+40
No MX records	+30
Domain < 30 days old	+25
Multiple breaches	+5 per breach
Free provider	+5
Corporate domain	-10

Disposable Email Detection

We maintain a database of 100,000+ disposable email domains:

{
  "email": "test@mailinator.com",
  "signals": {
    "email": {
      "is_disposable": true
    }
  },
  "risk_score": 65
}

Breach Checking

Emails are checked against known data breaches:

{
  "signals": {
    "email": {
      "has_breaches": true,
      "breach_count": 3,
      "breaches": [
        {"name": "LinkedIn 2021", "date": "2021-06-22"},
        {"name": "Adobe 2013", "date": "2013-10-04"}
      ]
    }
  }
}

Best Practices

1. Always check signups - Catch fraud at registration
2. Block disposable emails - For most use cases
3. Allow breached emails - Many legitimate users have them
4. Consider domain age - Very new domains are suspicious
5. Combine with device signals - Email alone isn't enough