AntiBot is a bot-detection and ad-fraud protection API for websites, apps and paid campaigns. Every request passes through a multi-layer pipeline, and the signals are cross-referenced to reduce false positives: • User-agent analysis against known crawlers, scrapers and automation tools • IP reputation: TOR exit nodes, VPNs and datacenter ranges • Headless-browser detection (Selenium, Puppeteer, Playwright) via canvas and WebGL fingerprinting • Behavior analysis: mouse movement, keyboard timing and scroll patterns • Device fingerprinting for persistent identification • Auto-block firewall with one-click unblock Ad-fraud protection validates paid clicks from Google Ads (gclid), Meta Ads (fbclid) and Microsoft Ads (msclkid), so competitor clicks, click farms and bot traffic stop draining your budget. Blocked IPs can be synced to exclusion lists. Integration is a RESTful API with a consistent response structure and a short JavaScript snippet. Endpoints cover detection, batch analysis, ad-click validation, fraud reports and manual firewall control. Plans: a free tier, Pro and Enterprise, with a 14-day free trial on premium plans and no credit card required. I built AntiBot because bot traffic skews analytics, leaks data and wastes ad spend, and most solutions are either too heavy or too opaque. The goal is protection you can set up in minutes and understand.