Add context to higher-risk orders
Query network, anonymization, bot, and disposable-email signals locally, then combine them with payment and account history in your own checkout rules.
Where teams need more context
These problems rarely have one perfect signal. Network and email intelligence can help you decide which activity deserves a closer look.
Payment Fraud
Fraudsters use stolen cards through VPNs and proxies to avoid detection
Coupon Abuse
Users create multiple accounts to exploit promotional offers repeatedly
Fake Reviews
Competitors and bad actors spam fake reviews from disposable emails
Inventory Hoarding
Bots grab limited-stock items before real customers can purchase
Where AntiProxies fits
Use local matches as inputs to your existing rules, scoring, step-up checks, and review queues.
VPN/Proxy Detection
Flag masked connections for an extra checkout review or step-up check
Email Signals
Check domains against 150K+ known disposable-email records
Bot Signals
Add known automation and network context to checkout decisions
Risk Scoring
Combine AntiProxies matches with your own payment, device, and account signals
Learn more
Payment Fraud and Bot Attacks
Protecting your checkout flow from card testing and inventory hoarding.
BlogCoupon Abuse and Promo Fraud
How fraudsters exploit promotions and how to detect abuse patterns.
GlossaryCredential Stuffing
How stolen credentials are used to take over customer accounts.
Put the full dataset in your stack
€99/year gets you all 22 data categories, unlimited local queries, and one year of updates. Load the files once, keep your decision logic in-house, and update on your own deployment schedule.