
Fingerprinting API
Bot detection and mitigation software
Web security software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$99 per month
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What is Fingerprinting API
Fingerprinting API is a device and browser fingerprinting service used to identify visitors across sessions and detect automated or suspicious traffic. It is typically used by product, fraud, and security teams to support bot detection, account protection, and abuse prevention in web applications. The product is delivered as an API/SDK that returns a stable visitor identifier and risk signals that can be integrated into authentication, rate limiting, and fraud workflows. It focuses on client-side and network signal collection rather than operating as a full web application firewall or CDN layer.
API-first integration model
The product is designed to be embedded into web and mobile application flows via SDKs and an API response. This makes it suitable for teams that want to add identification and bot signals directly into their own decisioning logic. It can complement existing edge security controls by providing application-level context. The approach fits engineering-led implementations where custom rules and downstream actions are required.
Persistent visitor identification
It provides a visitor identifier intended to remain stable across sessions, supporting detection of repeated abuse patterns. This helps correlate events such as repeated login attempts, credential stuffing indicators, or suspicious sign-up behavior. The identifier can be used to enrich SIEM, fraud tooling, or internal analytics. It is useful when IP-based controls are insufficient due to NAT, mobile networks, or rotating proxies.
Risk signals for automation
The API typically returns signals that help distinguish likely automated traffic from legitimate users. These signals can be used to trigger step-up authentication, block actions, or route traffic to additional verification. It supports use cases like protecting forms, sign-up flows, and high-value endpoints. The signal-based model allows tuning based on an organization’s tolerance for false positives.
Not a full edge stack
Fingerprinting API does not replace a web application firewall, DDoS protection, or edge traffic management layer. Organizations still need separate controls for volumetric attacks, L7 rate limiting at scale, and broader application security policies. This can increase architectural complexity when compared with consolidated platforms. It is best positioned as a component within a larger security and fraud stack.
Privacy and compliance considerations
Device fingerprinting can raise regulatory and policy questions depending on jurisdiction and data handling practices. Buyers often need to assess consent requirements, retention controls, and how identifiers are classified under privacy laws. Legal review and documentation may be required before deployment. Some users may also employ privacy tools that reduce signal quality.
Integration and tuning effort
Value depends on correct SDK deployment, event instrumentation, and how the organization uses returned signals in workflows. Teams may need to build decision logic, thresholds, and response actions (challenge, block, step-up) themselves. Ongoing tuning is often required to balance fraud prevention with user experience. This can be more work than turnkey managed bot mitigation services.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Free | $0 per month (up to 1,000 web/iOS API calls per month) | Includes Fingerprint Identification, Android Smart Signals, up to 500,000 Android API calls/month; includes a 14-day free trial of Pro Plus. |
| Pro Plus | $99 per month for 20,000 API calls; then $4 per 1,000 additional API calls | Includes Fingerprint Identification, Smart Signals (Android & iOS), 500,000 Android API calls/month; no limit on web/iOS API calls on paid plan; annual billing and discounts available (contact sales). |
| Enterprise | Custom pricing | Build-your-own plan: additional Smart Signals, 99.9% SLA, enterprise-grade compliance & security, proxy integrations, dedicated customer success manager. |
Seller details
FingerprintJS, Inc.
Chicago, IL, USA
2019
Private
https://fingerprint.com/
https://x.com/fingerprintjs
https://www.linkedin.com/company/fingerprintjs/