FRAUD RECOGNITION

Detect Suspicious
Patterns in Data

Identify synthetic identities and fraudulent transactions by cross-referencing against our massive identity graph.

Stop Fraud
The Challenge

Synthetic Identity
Fraud

Sophisticated fraudsters are mixing real and fake data to bypass traditional checks. Standard rules-based systems are failing to catch these synthetic identities.

Synthetic IDs

Fabricated identities that look real on paper but have no physical person attached.

Bot Networks

Automated scripts that test thousands of stolen credentials per minute.

Market Impact

$20B Losses

Estimated total losses to synthetic identity fraud.

PASSED
BLOCKED

The LeadFuze Solution

Power your fraud prevention infrastructure with the freshest identity data on the market.

Site Visitor
Verified

Identity Resolution Pixel

Install our pixel to automatically resolve and validate visitor identities in near real-time as they hit your site.

Near real-time resolution
Analyze browsing behavior
Instant webhook delivery
Explore IDRP
Input Data
50+ Fields

Enrichment API

Enrich transaction data with 50+ attributes via our low-latency API to identify inconsistencies.

Cross-reference inputs
High-throughput capacity
Validate identities
View API Docs
269M+
AI Models

Dataset

License our massive identity graph for offline analysis and training your own fraud detection models.

Full graph access
Train custom ML models
Monthly refreshes
License Data

Integration Workflow

Seamlessly inject identity intelligence into your existing fraud stack.

STEP 01

Transaction Event

User triggers event (signup, login). API call initiated.

STEP 02

Graph Query

Validates data points against 269M+ profiles.

STEP 03

Data Delivery

Enriched profile returned instantly for decisioning.

Developer Experience

Easy integration for your career portal.

SCRIPT
<script>
  // Install this on /careers or /jobs/* pages
  (function(l,e,a,d,f,u,z,e){
  l.LeadFuzeObject=a;l[a]=l[a]||function(){
  (l[a].q=l[a].q||[]).push(arguments)};
  l[a].l=1*new Date();u=e.createElement(d);
  z=e.getElementsByTagName(d)[0];u.async=1;u.src=f;
  z.parentNode.insertBefore(u,z)
  })(window,document,'lf','script','https://pixel.leadfuze.com/lf.js')
  
  lf('init', 'YOUR_PIXEL_ID');
  lf('track', 'JobView', {
      'job_id': 'ENG-101',
      'job_title': 'Senior Software Engineer'
  });
</script>
JSON Response
200 OK
{
    "success": true,
    "cached": false,
    "data": {
        "lf_id": "lf-12a34567bc8d90efe12f34ab567890cd",
        "first_name": "Jane",
        "last_name": "Doe",
        "full_name": "Jane Doe",
        "business_email": "jane.doe@acmecorp.com",
        "personal_emails": [
            "jane.doe.personal@gmail.com"
        ],
        "programmatic_business_emails": [
            "jane.doe@acmecorp.com",
            "j.doe@acmecorp.com"
        ],
        "mobile_phone": "+15550123456",
        "linkedin_url": "linkedin.com/in/jane-doe-example",
        "personal_city": "San Francisco",
        "personal_state": "CA",
        "full_address": "San Francisco, CA",
        "gender": "F",
        "job_title": "Senior Software Engineer",
        "seniority_level": "Senior",
        "department": "Engineering",
        "company": {
            "name": "Acme Corp",
            "domain": "acmecorp.com",
            "phone": [
                "+15550199999"
            ],
            "address": "123 Innovation Dr",
            "city": "San Francisco",
            "state": "CA",
            "country": "US",
            "linkedin_url": "linkedin.com/company/acme-corp-demo",
            "employee_count": "250 - 500",
            "primary_industry": "Technology"
        }
    },
    "meta": {
        "input": "jane.doe@acmecorp.com",
        "search_type": "email",
        "source": "lf_database",
        "result_count": 1,
        "limit": 100
    }
}

Stop Fraud in its Tracks

Get Started Read Documentation