Fingerprint users, not cookies
Persistent device identifiers that survive cookie clears, incognito mode, and storage resets. 99.5% accuracy, 0.001% collision rate.
99.5% accuracy
Identify returning users consistently, even without cookies or local storage.
0.001% collision
Near-zero false matches ensure legitimate users are never misidentified.
Blocker-proof
Operates through ad blockers and privacy extensions without degradation.
Web & mobile SDKs
Drop-in SDKs for browsers, iOS, and Android with identical fingerprint semantics.
Tuned for account security, not ads
Most fingerprinting tools optimize for ad attribution. Ours is built for account protection, where a false positive means locking out a real user and a missed match means letting fraud through.
Account-context optimization
Fingerprint stability is weighted toward account scenarios, not anonymous visitor tracking.
Cross-session persistence
Device IDs persist across browser sessions, cookie clears, and incognito windows.
Low-entropy rejection
Signals with high collision risk (e.g. common screen sizes) are down-weighted automatically.
Device fingerprint & user agent
Unique device ID plus parsed OS, browser, and version in a structured JSON response.
IP geolocation & proxy detection
Country, city, ISP, plus flags for VPN, proxy, Tor, and datacenter origin.
Environment signals
Incognito mode, ad blocker status, screen resolution, timezone, and language preferences.
Rich device data in every API response
Every scored event returns structured device metadata alongside the fingerprint. Use it in rules, analytics, or pipe it into your own data warehouse.
Separate humans from scripts
Automated traffic looks different at the browser level. We analyze interaction patterns, environment signals, and runtime characteristics to classify each session.
Bot score 0-100
A granular confidence score for every session. Set your own threshold for block vs. challenge.
Headless browser detection
Identify Puppeteer, Playwright, Selenium, and other automation frameworks by runtime fingerprint.
Behavioral analysis
Mouse movement patterns, keystroke dynamics, and scroll behavior distinguish real users from bots.
Automation framework signatures
Detect WebDriver flags, CDP connections, and injected automation APIs at the browser level.
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