🛡 Fraud Prevention — Detect Threats Before They Reach Your Platform
Use enriched phone, email, name, and digital signals to detect fake accounts, synthetic identities, and high-risk actors at every stage of your funnel — before fraud causes damage.
- Detect fake accounts and synthetic identity patterns
- Risk score every phone number, email, and name at onboarding
- Spam, VoIP, prepaid, and disposable signal detection
- Feed signals directly into your rules engine or fraud platform
How ClearCheck Data Supports Fraud Prevention
Fake Account Detection
Flag accounts created with VoIP numbers, disposable emails, or mismatched name signals at registration — before they gain platform access.
Chargeback Risk Reduction
Enrich transaction-related identifiers to detect high-risk buyers, stolen card signals, and patterns consistent with chargeback fraud.
Synthetic Identity Signals
Detect synthetic identities — fabricated people built from combinations of real and fake data — using confidence scoring and signal consistency checks.
Real-Time Gating
Submit a lookup during account creation or checkout. Receive enrichment signals fast enough to gate or flag in real time.
Rules Engine Integration
Return structured JSON directly to your fraud rules engine, decision platform, or review queue. No manual transformation required.
Risk Score Normalization
Phone risk, email risk, domain age, breach exposure, and identity confidence are normalized into composites your rules can consume directly.
Enrich Any Identifier — Same API, Every Type
Submit phone numbers, email addresses, names, or images. Receive structured JSON your systems can consume immediately.
Submit Identifier
POST a phone number, email, name, or image via REST API with Bearer token authentication.
Receive Job ID
Get a job ID immediately — your system stays non-blocking while enrichment processes.
Poll for Results
Query the monitor endpoint when ready. Full signal set is delivered on completion.
Route to Systems
Parse normalized JSON into your risk platform, CRM, review queue, or reporting tool.