Two-layer detection combining client-side signals with server-side AI. Catches Selenium, Puppeteer, Playwright, headless browsers, and autonomous AI agents — with near-zero false positives.
AI agent traffic exploded 7,851% in 2025. The internet is no longer just for humans.
HUMAN Security, 2026 State of AI Traffic Benchmark Report
Catches Selenium, Puppeteer, Playwright, Cypress, PhantomJS, and 10+ additional automation toolkits via runtime artifacts.
Spots Chrome Headless, Firefox Headless, and custom headless builds via missing API surface and rendering inconsistencies.
Identifies autonomous AI agents (GPTBot, ClaudeBot, PerplexityBot) through behavioral patterns, mouse movement analysis, and DOM injection fingerprints.
Uncovers Chrome DevTools Protocol connections, remote-debugging sessions, and Playwright-specific context modifications.
Compares claimed browser identity against JA4 TLS fingerprints — catches bots that fake browser signals but can’t fake the TLS layer.
Analyzes mouse movement patterns, event timing, and interaction sequences. Real users show natural variance; bots show robotic precision.
Tracio detects all major anti-detect browsers used by fraudsters to mask their identity. 20M+ profiles run across these tools — we fingerprint every one.
Our lightweight SDK collects 1,200+ browser signals in under 50ms with zero impact on user experience.
Server-side AI engine analyzes signals, applies advanced matching, and computes confidence scores.
Get a stable visitor ID, bot detection results, smart signals, and IP intelligence in a single API response.
A few lines of code, one API response with everything you need.
const result = await tc.get();if (result.bot.detected) { console.log(result.bot.type); // "headless_chrome" console.log(result.bot.framework); // "puppeteer" console.log(result.bot.aiAgent); // "gptbot" console.log(result.bot.confidence); // 1.0 blockRequest();}Bot Detection catches headless Chrome, Firefox, and WebKit via multiple independent probes: WebDriver flag status, absent browser plugins, phantom navigator properties, rendering inconsistencies, and DevTools Protocol markers. Each probe operates independently, so even sophisticated bots that patch some indicators are still caught by the remaining detection layers.
AI agents like ChatGPT, Claude, and Perplexity primarily use Playwright as their automation framework, each injecting unique JavaScript elements and DOM modifications during execution. We detect these per-agent signatures combined with behavioral analysis: AI agents move their mouse in perfectly smooth, linear increments (e.g., exactly 0.25 pixels), unlike the curved, jittery paths humans produce. Path efficiency, timing gap distributions, and speed patterns all differ measurably.
We compare the browser's claimed identity (user agent, feature detection results) against its TLS fingerprint (JA4 hash). A real Chrome browser has a specific TLS handshake pattern. When a bot claims to be Chrome but presents a non-Chrome TLS fingerprint, the mismatch is flagged. This catches bots that perfectly mimic browser-level signals but cannot fake the TLS layer.
Beyond static detection, we analyze behavioral signals like mouse movement patterns, event timing consistency, and interaction sequences. Real users exhibit natural variance in pointer movements and timing. Bots typically show either perfectly consistent or completely absent interaction patterns. Combined with device-level detection, this provides defense-in-depth against sophisticated automation.
See how teams use Bot & AI Agent Detection to solve real-world problems.
Block automated login attempts from headless browsers, scripted tools, and AI agents. 26 billion credential stuffing attempts happen every month.
Learn moreDetect and block scrapers using Puppeteer, Playwright, Selenium, and AI-powered browsing agents.
Learn moreStop bots and AI agents from exploiting promotional offers, coupon codes, and free trials at scale.
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