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[Product]2026-07-107 min

AbuseGraph vs Verisoul vs FingerprintJS

by AbuseGraph Team

The Landscape

Three products teams evaluate for signup fraud prevention:

FeatureAbuseGraphVerisoulFingerprintJS
Device fingerprintingYes (62 scored signals)YesYes
TLS fingerprintingYes (JA3/JA4 sidecar)NoNo
Extension detectionYes (~270 curated AED IDs)NoNo
Identity graphYesYesLimited
Disposable emailYesNoNo
Velocity checkingYesYesYes
Hosted console + APIYes (early access)YesYes
Self-hosted edge workerYesNoLimited
Behavioral MLNo (v1 is rule-based)YesNo

Cost Comparison

AbuseGraph

Early access console:  $0 (no published quotas yet)
Self-host edge (optional): infrastructure billed by your cloud account

Verisoul (SaaS)

Starter:    $99/mo (10k sessions)
Growth:     $299/mo (50k sessions)
Scale:      Custom pricing

FingerprintJS (SaaS)

Free:       $0 (limited)
Pro:        $200/mo (high volume)
Enterprise: Custom pricing

Where AbuseGraph Wins

  1. Transparent scoring: Every marker weight is visible in Review (sum of weights, capped at 100).
  2. Extension detection: Curated automation / anti-detect / VPN IDs via AED + Spectroscopy.
  3. TLS fingerprinting: JA3/JA4 from a Go sidecar for clients that spoof canvas/WebGL.
  4. Two paths: Hosted /api/v1/check console or self-hosted edge two-call model.
  5. Identity graph: links devices, emails, and prior exposure across sessions.

Where AbuseGraph Loses (Honestly)

  1. No behavioral ML: v1 is catalogued rules + weights. Verisoul leads here.
  2. No payment fraud detection: Signup / auth risk only.
  3. Newer: Less battle-tested than FingerprintJS.
  4. Self-host setup: Edge worker is more ops than a single SaaS key.

When to Choose AbuseGraph

  • You want a transparent score with per-marker contribution
  • You need test keys free and live keys domain-pinned
  • You want a thin SDK + hosted check API
  • You're evaluating signup fraud, not payment fraud

Conclusion

AbuseGraph is optimized for transparent account-protection scoring with Free / Pro / Scale memberships. If you need deep behavioral ML or payment fraud tooling, evaluate specialists alongside it.