Stop bots. Protect real users.
Machine learning models analyze behavioral biometrics, browser fingerprints, and interaction patterns to distinguish humans from bots with real-time scoring.
Bot Scoring
Scoring Latency
Frameworks Detected
Signal Analysis
Capabilities
Everything you need
ML Behavioral Analysis
Deep learning models analyze mouse movements, scroll patterns, keystroke dynamics, and interaction timing to build a behavioral profile.
Headless Browser Detection
Detect Puppeteer, Playwright, Selenium, and other automation frameworks through browser API inconsistencies and JavaScript environment analysis.
Interaction Biometrics
Track mouse velocity, acceleration, jitter, and click patterns. Bots produce statistically distinguishable interaction signatures.
Browser Integrity Checks
Verify that navigator properties, WebGL capabilities, and JavaScript APIs are internally consistent and match the claimed browser.
Real-Time Scoring
Every request receives a bot score from 0.0 (definitely human) to 1.0 (definitely bot) with sub-50ms processing time.
Challenge System
Configurable invisible challenges for edge cases. CAPTCHA-free verification that doesn't interrupt the user experience.
Session Tracking
Monitor behavior across the entire session, not just a single request. Detect bots that mimic human behavior initially but diverge over time.
Framework Detection
Identify specific automation tools — Puppeteer, Playwright, Selenium, PhantomJS, and 20+ others — with tool-specific signatures.
Adaptive Thresholds
ML models continuously retrain on new bot patterns. Zero-day bot frameworks are detected through anomaly detection without manual rules.
How It Works
Three steps to get started
Add the SDK
Install the LightningResearch SDK. Bot detection begins collecting behavioral signals automatically on page load.
Behavioral Collection
The SDK silently monitors mouse, keyboard, scroll, and touch interactions. No user action required — collection is invisible.
Get the Verdict
Call detect() to receive a bot score, classification, and confidence level. Act on the result — block, challenge, or allow.
Integration
A few lines of code
Get LR Guard running in your application with our TypeScript SDK. Full type safety, comprehensive documentation, and framework-agnostic design.
import { LightningResearch } from '@lightningresearch/sdk'
const client = LightningResearch.init({
apiKey: process.env.LR_KEY
})
const bot = await client.bot.detect()
console.log(bot)
// {
// is_bot: false,
// bot_score: 0.02,
// human_confidence: 0.98,
// classification: "human",
// signals: {
// mouse_entropy: 0.94,
// scroll_pattern: "organic",
// keystroke_timing: "natural",
// browser_integrity: "pass"
// },
// framework: null,
// recommendation: "allow"
// }
Use Cases
Built for real-world security
Credential Stuffing Prevention
Detect automated login attempts using leaked credential databases. Block bot-driven authentication attacks before they succeed.
Web Scraping Protection
Identify and block content scrapers, price monitoring bots, and data harvesters that consume server resources and steal proprietary data.
Ticket Scalping Defense
Prevent automated ticket purchasing bots from buying up inventory. Ensure fair access for real customers during high-demand events.
Form Spam Prevention
Stop automated form submissions, fake registrations, and spam comments without requiring CAPTCHAs that frustrate real users.
Get started with LR Guard
Free tier includes 10,000 identifications per month. No credit card required.
Live Demo
Real-Time Behavioral Analysis
Move your mouse, type, and scroll to see bot detection in action.
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Mouse Events
Speed: 0 · Jitter: 0
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Key Presses
Avg Dwell: 0ms
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Scroll Events
Avg Speed: 0
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Bot Score
Collecting...