Provider profile · 2026 edition
Fingerprint review 2026: scores, pricing and alternatives.
A device intelligence provider that recognises browsers and mobile devices to stop new account fraud, account takeover and payment fraud.
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A device intelligence provider that recognises browsers and mobile devices to stop new account fraud, account takeover and payment fraud.
Fingerprint scores 2.8 out of 5 (56 out of 100) in the Buckingham Intelligence Fraud Prevention Index 2026 and ranks 4 of 13. It is strongest for fintechs wanting device recognition with clear self-serve prices, with 5 out of 5 for published pricing. Not published or not stated on the pages read: operations, fraud coverage, detection signals and security and clients.
Scores from the Fraud Prevention Index 2026.
| Segment | Score out of 100 | Rank |
|---|---|---|
| For banks and lenders | 46 | 10 of 13 |
| For payment and e-money firms | 56 | 3 of 13 |
| For fintechs and marketplaces | 65 | 2 of 13 |
The score out of 5 is the overall score out of 100 divided by 20. Leader goes to the top three overall, Best for to the first in each segment, and Top rated for to a score of 5 out of 5 on a criterion. Awards cannot be bought.
Where it scores best, and where to check closely, as shown in each ranking.
Fintechs wanting device recognition with clear self-serve prices.
What Fingerprint publishes on its own pages, read on 26 October 2026.
A device intelligence provider that recognises browsers and mobile devices to stop new account fraud, account takeover and payment fraud. It publishes clear self-serve prices, a free tier, SDKs and both main security certifications. It is a signal provider without rules or case management tools.
| Fact | What the provider publishes |
|---|---|
| Coverage | Use cases: "New Account Fraud", "Account Takeover", "Payment Fraud", "SMS Fraud" and bot detection. |
| Pricing | Free: "$0 /month", "up to 1,000 API calls per month". Pro Plus: "$99 per month which includes 20,000 API requests for web and iOS, as well as 500,000 API requests for Android"; "$4 per 1,000 additional API calls". |
| Signals | Device identification "even when VPN, incognito mode, or a tampered browser or device is used"; Smart Signals with "100+" attributes. |
| Operations | Not published; Fingerprint supplies signals to the client's own rules. |
| Integration | SDKs and libraries, documentation, GitHub; free sign-up; "14 day free trial with unlimited API calls". |
| Security and clients | "ISO 27001 certified" and "SOC 2 Type II compliant"; data in AWS data centres. "Trusted by 6000+ companies"; none named on the pages read. |
| Date read | 26 October 2026 |
A fact that is not published is scored as not offered or, for a fee, as if it were high. It is never estimated.
Facts read on 26 October 2026 from: fingerprint.com, fingerprint.com/pricing, fingerprint.com/security.
Each score with the evidence behind it.
Each criterion is scored 0 to 5 against the best published offer in the Fraud Prevention Index. 0 means not offered or not published. How it is scored
The other providers in the same ranking, ordered by score.
| Provider | Score out of 5 | Rank | Strongest for |
|---|---|---|---|
| SEON | 3.9 | 1 of 13 | Payment and fintech firms wanting a published monthly price and fast set-up |
| Stripe Radar | 3.0 | 2 of 13 | Firms already processing card payments with Stripe |
| Unit21 | 2.9 | 3 of 13 | US banks and fintechs needing fraud rules, investigations and SAR filing together |
| Oscilar | 2.6 | 5 of 13 | US fintechs and payment firms wanting backtesting and case management together |
| Sardine | 2.6 | 6 of 13 | Fintechs and banks combining fraud, scams and AML in one system |
| Feedzai | 2.6 | 7 of 13 | Large banks needing scam prevention and onboarding risk on one platform |
| DataVisor | 2.6 | 8 of 13 | Banks and credit unions wanting unsupervised machine learning and case tools |
| BioCatch | 2.5 | 9 of 13 | Retail banks fighting scams, mule accounts and account takeover |
| Ravelin | 2.2 | 10 of 13 | Payment providers and online merchants fighting card fraud and chargebacks |
| Sift | 2.1 | 11 of 13 | Fintechs and marketplaces wanting a large shared data network |
| SHIELD | 2.0 | 12 of 13 | Asian e-wallets and apps stopping fake accounts at sign-up and login |
| Bureau | 1.6 | 13 of 13 | Indian lenders and marketplaces stopping fake applications at onboarding |
Side by side on every criterion, fact and award.
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