IPASIS is a fraud prevention and bot detection platform that provides real-time risk scoring for online interactions via a single API endpoint. The platform combines IP intelligence and email validation to identify bots, fake users, and fraudulent activity across common user flows such as signups, logins, checkout, and lead generation. Core capabilities include: - Bot detection: identifies automated traffic, headless browsers, and scraping bots using IP intelligence, datacenter detection, and proxy analysis - Fraud prevention: flags fraudulent signups, fake transactions, and account takeover attempts in real time - Fake user detection: uses disposable email detection, suspicious IP pattern analysis, VPN/proxy identification, and gibberish username analysis - Trust Score Engine: assigns each interaction a 0–100 risk score (0–39 trusted, 40–79 suspicious, 80–100 bot/fraud risk) with transparent, itemized scoring reasons The platform aggregates data from multiple threat intelligence feeds including RIPEstat, MISP, X4BNet, DNS monitors, Certificate Transparency logs, GeoLite2, RDAP/Whois, and community disposable email lists. Feeds are updated sub-hourly. The system tracks over 120,000 disposable domains and 210,000 newborn domains across more than 10 real-time threat feeds. IPASIS is deployed across three global regions (US, EU, Asia) with multi-region redundancy, targeting sub-20ms API response times. It is positioned as a developer-friendly alternative to enterprise fraud detection tools such as Cloudflare Bot Management, Sift, Arkose Labs, and Fingerprint. The service offers 1,000 free requests per day with no credit card required, and is GDPR compliant with no PII stored or logged.