Dregs vs Fingerprint

Fingerprint (formerly FingerprintJS) is the best-known name in device identification: the open-source library that popularized browser fingerprinting, grown into a platform that now cites more than 7 billion unique browsers and mobile devices identified a year. Comparing it to Dregs is really a comparison of layers, not rivals: Fingerprint sells a very good answer to "which device is this?", and leaves "so what do we do about this account?" to you. Dregs is built to answer the second question.

At a glance

What Fingerprint does well

Fingerprint's core competency is real: it claims 99.5% visitor identification accuracy, holding stable for months even through cleared cookies and incognito sessions, and it now cites more than 7 billion unique browsers and mobile devices identified a year. The developer experience is well regarded, the open-source heritage has earned trust with engineers, and Smart Signals adds a substantial catalog of per-request risk attributes: bot detection, VPN and proxy detection, browser tampering, emulators, and more. As a device intelligence layer, it's a strong default choice.

Where Dregs takes a different approach

Signals in, decisions out

Fingerprint is deliberately a signal layer: its own docs describe Smart Signals and the Suspect Score as inputs for logic you build, with customer-tuned weights, and identity linking via linkedId values your application supplies. That's the right architecture for teams who want control, and Fingerprint is honest about it. But it means the fraud system itself (storing history, connecting accounts, setting thresholds, building the review UI, wiring escalations) is your engineering project. Dregs ships that system: every account gets four scores (Humanity, Authenticity, Uniqueness, Behavior) updated moments after new activity, suspicious accounts get badges and escalations automatically, and webhooks push verdicts back to your application so responses can be fully automated. Less glue code, less manual review.

Devices are one signal, not the verdict

A device ID is powerful and insufficient. Households and offices share devices; determined abusers rotate them. Acting on device signals alone is how legitimate users get flagged: the false positives that turn fraud tooling into a support burden. Dregs treats the device as one voice among many: device fingerprints feed the Uniqueness score, while identity data (disposable emails, implausible names) feeds Authenticity and usage patterns feed Humanity and Behavior. Accounts are linked not just by shared devices but by similar names, emails, sessions, and behavior. Every link and score shows you exactly which observations produced it, so you can see why before you act.

Priced for the account problem

Fingerprint meters API calls: reasonable for an identification service, but it makes cost a function of how often you call. Dregs bills per active identity, so an account counts once per month regardless of event volume. Each plan includes a monthly checks allowance for score lookups on identities you already track: 500,000 on Starter, 2,500,000 on Growth, and 5,000,000 on Advanced. A check reads scores Dregs has already computed. Authenticity Check API calls are separate and count against the monthly operations quota.

Fingerprint pricing vs Dregs pricing

Fingerprint pricing facts checked October 1, 2026 against https://fingerprint.com/pricing/. Dregs pricing is current at dregs.com/pricing. If you spot something out of date, email dregs@dregs.com and we'll correct it.

The bottom line

If you're staffing a team to build fraud detection, Fingerprint is a solid foundation to build on. If you'd rather not build fraud detection at all, Dregs is the finished building, device fingerprinting included, tuned for fake signups, trial abuse, and duplicate accounts. Comparing point lookup data vendors too? See Dregs vs IPQS.

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