Prynt detects bots in under 50ms using six independent detection layers — from simple scripts to sophisticated headless browsers — without CAPTCHAs, challenges, or friction for legitimate users.
A real-time view of bot traffic detected across the Prynt network. Every row is a real detection — classified, scored, and actioned in milliseconds.
Prynt doesn't just detect bots — it classifies them by type, framework, and intent. Use the taxonomy to apply different policies to different threats.
Browser automation tools controlled by scripts. Used for account creation, ticket scalping, credential stuffing, and form spam at scale.
Browsers running without a visible UI. Often used with stealth plugins to mimic real user environments and bypass basic detection.
HTTP-level bots that extract content, pricing, or inventory data. Range from simple scripts to sophisticated distributed crawling systems.
Automated login attempts using stolen username/password combinations from data breaches. High velocity, distributed across proxies.
Direct API calls bypassing the frontend entirely. Used for inventory sniping, rate limit abuse, data extraction, and automated transactions.
Virtual devices and environment spoofing tools designed to mimic real mobile devices and desktops, often used in ad fraud and fake installs.
Every request passes through six independent detection layers. A bot must evade all six simultaneously to pass — and we haven't seen one that can.
Bot operators use sophisticated evasion techniques. Prynt detects them all — because we don't rely on any single signal.
Tools like puppeteer-extra-plugin-stealth patch common detection flags. Prynt catches stealth users through deeper signals they can't fake.
Bot traffic routed through real residential IPs to bypass IP-based blocking. Prynt doesn't depend on IP reputation alone.
Bots present fake user agents claiming to be real browsers. Prynt cross-validates the claimed UA against actual browser capabilities.
Advanced bots inject synthetic mouse movements and scroll events. Prynt's ML models detect the subtle statistical differences from real humans.
Bots that randomize their fingerprint on every request to avoid tracking. Prynt detects the impossibility of rapid hardware changes.
Bots running from AWS, GCP, or Azure instances with real Chrome installed. Prynt detects cloud-hosted browsers through hardware signals.
Every identification request returns a structured bot detection result — type, framework, confidence, and the evidence that triggered the classification.
true for bots, false for humans. Use as the primary gating signal.automation, headless, scraper, credential_stuffing, api_abuse, emulator, none.{
"bot": {
"detected": true,
"type": "automation",
"framework": "Puppeteer",
"confidence": 0.998,
"evidence": {
"jsEnvironment": {
"webdriverPresent": true,
"pluginArrayEmpty": true,
"chromeRuntimeMissing": true,
"permissionsInconsistent": true
},
"rendering": {
"canvasMismatch": true,
"webglAnomaly": false
},
"timing": {
"executionDrift": 0.87,
"eventLoopAnomaly": true
},
"network": {
"ja4": "t13d1516h2_...",
"browserMatch": false,
"h2Settings": "non_standard"
}
},
"layers": {
"jsEnvironment": "fail",
"rendering": "anomaly",
"timing": "fail",
"network": "suspect",
"behavior": "fail",
"mlEnsemble": "fail"
}
}
} Bot detection is included in every Prynt plan. Use it to protect any interaction — registration, login, checkout, API, or content.
Block bots from creating fake accounts that pollute your user base, abuse onboarding incentives, and waste support resources.
Detect and block automated login attempts using stolen credentials. Protect accounts without forcing MFA on every legitimate user.
Stop bots from grabbing limited inventory — concert tickets, sneakers, GPU drops — before real customers have a chance.
Detect automated payment attempts that test stolen credit card numbers against your checkout. Block before chargebacks hit.
Prevent competitors and aggregators from scraping your product listings, pricing data, and proprietary content at scale.
Block bots that submit fake reviews, inflate vote counts, spam comments, or manipulate engagement metrics on your platform.
See how Prynt's invisible, ML-powered approach compares to legacy solutions that rely on CAPTCHAs and rate limiting.
| Capability | Prynt | reCAPTCHA | Cloudflare Bot Mgmt | Rate Limiting |
|---|---|---|---|---|
| Zero user friction | ✓ Invisible | ✗ Challenges | ~ JS Challenge | ✓ Invisible |
| Headless browser detection | ✓ 99.7% | ~ Partial | ✓ Good | ✗ None |
| Framework classification | ✓ Named | ✗ Binary only | ~ Partial | ✗ None |
| Stealth plugin resistance | ✓ 6 layers | ✗ Bypassed | ~ Some | ✗ None |
| Residential proxy handling | ✓ Device-based | ~ Score-based | ~ IP reputation | ✗ None |
| Per-layer evidence | ✓ Full breakdown | ✗ Score only | ✗ Binary | ✗ None |
| API abuse detection | ✓ TLS + behavior | ✗ Client-only | ✓ Good | ~ Threshold only |
| Custom rules on bot type | ✓ Full engine | ✗ None | ~ Limited | ✗ None |
| False positive rate | ✓ 0.01% | ~ 1-3% | ~ 0.1% | ~ High |
| Privacy compliant (no PII) | ✓ | ✗ Tracks users | ✓ | ✓ |
Free plan includes bot detection. No credit card. No CAPTCHA.