AmiUnique.io

AmiUnique.io is a privacy-first Neo-SaaS that reveals the invisible: your browser’s digital fingerprint. By analyzing 80+ deterministic collectors (Canvas, WebGL, AudioContext, fonts, codecs, TLS, permissions, and more) against a database of 2M+ fingerprints, AmiUnique computes a realtime percentile on a bell curve and surfaces the exact signals that make a session common or unique. Key capabilities

Three-Lock classification: Gold (hardware — highly stable), Silver (software — moderately stable), Bronze (network — session-level). Rarity badges and top-signal cards that show per-dimension rarity (e.g., GPU renderer, fonts hash, ASN) and recommended mitigations. Lie detection: cross-checks timezone, locale, UA, and network metadata to flag spoofing or automation. Fast, auditable telemetry: sub-100ms global delivery via a static Next.js 14 export and modern edge distribution. Privacy guarantees: no tracking, no selling of personal data — scans are designed to be transparent and explainable.

Who benefits Security & fraud teams: prioritize mitigation by focusing on the most stable, high-value signals. Privacy-conscious individuals: understand what makes their device identifiable and how to reduce exposure. Researchers & product teams: realtime percentiles and distribution telemetry for experimentation and analysis.

Outputs & integrations Realtime percentile, per-dimension rarity, Three-Lock summary, and human-friendly mitigation tips. Documentation for every collector so auditors and developers can verify what is measured. Lightweight embed and API patterns for integration into security workflows and threat models. Why it matters As cookies fade, fingerprinting is becoming a primary signal for tracking, fraud, and personalization. AmiUnique delivers transparent, actionable visibility so organizations and individuals can make informed decisions about identity risk, mitigation, and design trade-offs. Try it free — no account required. Scan your fingerprint and see exactly what the web can see.