| What it does | Fraud detection and prevention for web apps that detects account abuse and bots under any masking
| Browser fingerprint and automation detector that cross-checks JavaScript consistency against network layer signals
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| Stage | Startup
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| Founded | 2025
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| Based in | US
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| Pricing model | Freemium
| Free
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| Pricing | Free tier with 5,000 identifications. Paid plans: Starter $99/month for 25,000 identifications (monthly billing) or $79/month billed yearly; Growth $399/month for 150,000 identifications (monthly) or $319/month billed yearly; Scale $999/month for 500,000 identifications (monthly) or $799/month bille
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| Key features | - Device fingerprinting to recognize devices and detect headless browsers and tampering
- Multi-accounting detection starting at three accounts per visitor
- Risk scoring from 0 to 100 with signal breakdown
- Bot and AI traffic detection with browser automation signals
- IP geolocation and real IP address revelation behind masking
- Traffic quality scoring by source, channel, referrer, and UTM campaign
- Dashboard, API, and webhooks for results delivery
- Five-minute integration with JavaScript snippet or supported SDKs
| - JavaScript fingerprinting across canvas, WebGL, WebGPU, audio, fonts, navigator and screen
- Network layer analysis via Cloudflare request metadata
- Behavioral challenge to verify human interaction
- Open-source package for CI integration
- Passive automation detection via navigator properties and framework residue
- Cross-layer consistency checking between JavaScript and network signals
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| What makes it different | - 99.9% identification accuracy and 99.9% risk signal detection accuracy across 300+ signals
- Ready-made High-Risk Event detection requires no custom fraud model training
- Explainable risk scores showing which signals fired and their weights
- Self-serve five-minute onboarding with no procurement or sales cycle required
| - Three independent detection axes that fail separately rather than as one system
- Combines JavaScript analysis with network-layer observations that JavaScript cannot fake
- Educational and defensive tool, not a service for evading detection
- Live read-only measurement with no data storage
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 39 ▼ −1 (down) since last check | 6 ● no change since last check |
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| Trust Flow (Majestic) | 15 | 2 |
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| Citation Flow (Majestic) | 37 | 27 |
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| Referring domains (Majestic) | 240 | 42 |
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ShieldLabs
liarjs.dev