Detect fraudulent identities, payments and accounts.
Used by risk and fraud teams
5 listings tagged by providers for this use case
65 official sanctions lists and 1.9 million politically exposed persons in public roles, consolidated with aliases and entity identifiers and refreshed every 15 minutes.
Real-time validation of business emails and phone numbers: syntax, domain, mailbox and catch-all checks for email, and line type, carrier and reachability for phone, in about 300 ms.
Real-time API that checks a European company against its official register and returns status, registered address, officers, ownership summary and a match confidence score.
Synthetic tables trained on your data inside your own cloud, or rendered images from 3D assets, delivered with fidelity scores and privacy test results for each dataset.
430 million domains across 1,500 TLDs with registration dates, registrar, redacted WHOIS history and daily DNS records, plus a feed of about 250,000 new registrations a day.
Fraud detection stops fake identities, account takeovers and payment fraud before they cost money, without adding friction for genuine customers. Most fraud teams combine several weak signals into a risk score rather than relying on one check.
Fraud and identity risk data provides device, IP, behavioural and synthetic identity signals, plus consortium indicators of known bad actors. Email and phone validation data shows whether contact details are real, how long they have existed and whether they are disposable or recently ported. Identity resolution data links emails, phones, devices and addresses, so you can spot one person behind many accounts.
Ask about latency and uptime for real-time APIs, coverage in your markets, how signals were validated against confirmed fraud and how personal data is processed. A retrospective test on your own historical fraud cases is the fairest way to compare providers.
Last reviewed on 11 Nov 2026
Describe the result you are after and the data you think you need. Providers reply with proposals and samples.