Fingerprint
AI NativeIdentify visitors. Understand intent. Prevent fraud.
Est 2020
Identify visitors. Understand intent. Prevent fraud.
Published Aug 26, 2026
| Starting Price | Public pricing references vary; one vendor support article lists the smallest paid plans (Pro and Pro Plus) at published entry-level prices; a Free plan is documented | Pricing page exists but exact entry price not captured here | Pricing varies by monthly tracked users (MTUs); no fixed public entry price captured here |
| Primary use case | Device/visitor identification and risk signals to feed fraud logic | Managed bot protection for web and app/API traffic | Broader fraud decisioning platform with multiple identity signals |
| Key advantage | Developer-oriented identification API with an open-source library as a foundation and vendor-hosted operational product | Focused bot mitigation with edge protection and challenge mechanisms | End-to-end fraud decisioning, orchestration, and network signals |
| Key limitation | Fingerprinting can be controversial from a privacy perspective and may be affected by anti-fingerprinting measures | Challenge-based approaches can introduce customer friction and may be heavier than required for simple identification needs | Platform complexity and cost profile may be higher for smaller teams |
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