Fingerprint alternatives

4 tools to consider instead of Fingerprint, shown against it.

Fingerprint SEON Sift Sardine Unit21
Vendor FingerprintJS, Inc. SEON Technologies Ltd. Sift Science, Inc. SardineAI Corp. Unit21, Inc.
Pricing model Free tier + paid plans Quote only Quote only Quote only Quote only
Free tier Yes Yes
Deployment Cloud Cloud Cloud Cloud Cloud
Open source No No No No No
Best for Engineering teams that want a single reliable device-identification signal to feed into their own fraud or bot-detection logic. Growing merchants and fintechs that want fast self-serve setup and digital-footprint-driven fraud checks before paying for enterprise scale. Digital businesses that want fraud scoring backed by a large shared consortium network rather than building models from their own data alone. Fintechs and banks that need onboarding, payment fraud and AML monitoring in one platform, weighted toward behavioral-biometric detection. Fraud and AML ops teams that want to configure detection rules and run investigations themselves without engineering support.
Pricing

Self-serve monthly plans billed by API call volume, with a free tier and pay-as-you-go overage; custom enterprise tier above that.

Free $0/month
Pro Plus $99/month for 20,000 API calls
Enterprise Custom pricing

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Published Starter plan at a fixed monthly rate with capped API calls; Premium tier is unlimited and custom-quoted. Free trial available.

Free Trial $0
Starter $699/month
Premium Custom pricing (contact sales)

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Usage-based enterprise pricing scaled to event/transaction volume; rates are negotiated per account and not published.

Pricing has not been verified yet — see the vendor's site.

Enterprise pricing quoted per customer based on volume and modules used; no public rate card.

Pricing has not been verified yet — see the vendor's site.

Enterprise pricing quoted per customer based on data volume and modules; no self-serve signup or published rates.

Pricing has not been verified yet — see the vendor's site.

Features
  • Browser and mobile device fingerprinting/visitor identification
  • Persistent visitor ID surviving cookie clears and incognito mode
  • Bot and automation detection
  • Smart Signals for Android and iOS risk context
  • CDN-proxied collection (Cloudflare, Akamai, Fastly, CloudFront, Azure) to resist ad blockers
  • SDKs for major web and mobile platforms
  • Open-source client-side fingerprinting library
  • Real-time identification API
  • Digital footprint analysis from email, phone and IP (1,100+ signals)
  • Device fingerprinting and behavioral biometrics
  • AI agent/bot detection
  • Drag-and-drop, no-code workflow and rule builder
  • Score explainability showing which signals drove a decision
  • Network analysis mapping fraud rings across shared identifiers
  • AML screening and regulatory report filing (SAR/STR/8300)
  • AI-assisted case management and alert triage
  • Device fingerprinting and identification
  • Behavioral monitoring across signup, login and transaction events
  • Cross-customer consortium data network
  • Proprietary ML risk scoring with explainable signal breakdowns
  • Customizable rules engine and automated decision workflows
  • Analyst case queue and investigation workflows
  • Chargeback and account-abuse protection
  • Real-time scoring API
  • Behavioral biometrics (typing, mouse, touch patterns)
  • Device fingerprinting and emulator detection
  • IP/location de-anonymization ('True Piercing')
  • KYC/KYB identity verification and document checks
  • Payment fraud detection across ACH, wires, cards and RTP
  • On-chain/crypto transaction risk scoring
  • Connections graph for network/link analysis
  • Sanctions and PEP screening with case management
  • No-code rules engine for velocity and behavioral checks
  • Case management with alert-to-SAR workflow automation
  • Graph/link analysis connecting entities across data points
  • Device risk scoring (rooted devices, VPNs, tampered browsers)
  • Sanctions and watchlist screening with fuzzy matching
  • Direct integration with existing data warehouses (Snowflake, BigQuery, Databricks)
  • Automated evidence collection and narrative drafting
  • Regulatory filing automation (SAR, STR, CTR, 314(a), goAML)

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