SEON Fraud Intelligence REST API
SEON fraud intelligence REST API for e-commerce merchants, fintech companies, and online platforms to detect fraudulent users, assess risk signals, and prevent account takeover, payment fraud, and bonus abuse — combining email intelligence, phone intelligence, IP analysis, device fingerprinting, and social media lookup to build a digital footprint risk score for each user — enabling automated fraud prevention, user risk scoring, and suspicious activity detection through SEON's machine learning fraud detection platform. Enables AI agents to manage email intelligence for email domain, breach, and social media profile automation, handle phone intelligence for phone carrier, type, and social presence automation, access IP analysis for IP geolocation, proxy/VPN/Tor detection automation, retrieve device fingerprinting for browser and device identity automation, manage AML screening for basic PEP and sanctions check automation, handle fraud scoring for composite risk score calculation automation, access transaction monitoring for payment fraud signal automation, retrieve case management for fraud investigation and review automation, manage whitelist/blacklist for trusted and blocked entity management automation, and integrate SEON with payment gateways, onboarding flows, and risk platforms for layered fraud prevention automation.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Fraud detection. GDPR, SOC2. API key. EU/US. Digital footprint and user risk data.
⚡ Reliability
Best When
An e-commerce merchant, fintech company, gaming platform, or online marketplace wanting AI agents to automate fraud risk scoring using digital footprint signals — email, phone, IP, device, and social media — through SEON's accessible and developer-friendly fraud intelligence platform.
Avoid When
SIGNAL ACCURACY VARIES BY USER TYPE: Digital footprint signals are weaker for privacy-conscious users or those with limited social presence; automated high-confidence assumption creates false_positive for legitimate low-digital-footprint users; automated must calibrate thresholds for user demographic. API ENRICHMENT ADDS LATENCY: Email and phone intelligence enrichment takes 200-2000ms depending on data sources; automated sub-100ms assumption creates user_experience_degradation for synchronous fraud checks in checkout flows; automated must implement asynchronous or timeout-tolerant fraud checks. FREE EMAIL PROVIDERS HAVE LIMITED SIGNAL: Gmail, Outlook addresses provide less signal than custom domains; automated email-domain assumption creates weak_signal for consumer email providers; automated must combine email intelligence with other signals. GDPR APPLIES TO PROFILING: Digital footprint profiling falls under GDPR profiling rules; automated unconstrained assumption creates GDPR_violation for automated decisions based solely on SEON profile; automated must comply with GDPR profiling and automated decision requirements.
Use Cases
- • Screening new user registrations for fraud risk using digital footprint for onboarding automation agents
- • Detecting high-risk IP addresses, VPNs, and proxy usage for fraud prevention automation agents
- • Enriching customer profiles with email and phone intelligence for KYC automation agents
- • Preventing bonus abuse and multi-accounting in gaming and fintech for fraud automation agents
Not For
- • Enterprise AML transaction monitoring (SEON is fraud signals, not full AML compliance platform)
- • Physical identity document verification (SEON is digital footprint, not ID document OCR/biometrics)
- • Real-time payment authorization (SEON is risk signals, not payment gateway or authorization system)
Interface
Authentication
SEON uses API key for fraud intelligence REST API. REST API with JSON. Budapest, Hungary HQ. Founded 2017 by Tamas Karacsony and Bence Jendruszak. Products: Email Intelligence, Phone Intelligence, IP Intelligence, Device Fingerprinting, Fraud API, AML. SDKs: JavaScript, Python, PHP, Java, Go. $94M raised (Series B). Backed by Creandum, IVP, YC. 5,000+ customers. Competes with ThreatMetrix, Socure, and Sardine for fraud intelligence.
Pricing
Budapest HU. IVP/Creandum backed. Per-API-call pricing. Freemium (2K calls/month). 5,000+ customers.
Agent Metadata
Known Gotchas
- ⚠ SCORE CONFIGURATION IS CUSTOM: SEON default scoring weights may not match your fraud patterns; automated default-score assumption creates miscalibrated_risk for use cases with different fraud profiles; automated must configure custom rules and scoring weights
- ⚠ ENRICHMENT LEVEL AFFECTS SCORE: Full enrichment (email + phone + IP + device) gives better signals than partial; automated partial-enrichment assumption creates incomplete_score for single-signal checks; automated should use multi-signal enrichment where possible
- ⚠ DEVICE FINGERPRINTING REQUIRES JS SNIPPET: Device fingerprinting requires SEON JavaScript snippet loaded in browser; automated server-side-only assumption creates missing_device_signal for fingerprinting without client SDK; automated must deploy SEON JS snippet for device intelligence
- ⚠ FREE EMAIL PROVIDER FLAGS: Legitimate users often use Gmail/Yahoo; automated flag-free-email assumption creates false_positive for legitimate users with common email providers; automated must calibrate free email signal weight based on user base
- ⚠ HISTORICAL SCORES NOT STORED: SEON does not store historical risk scores by default; automated audit-trail assumption creates no_historical_data for compliance review of past decisions; automated must store SEON responses in own database for audit purposes
Alternatives
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Scores are editorial opinions as of 2026-03-07.