Dregs - 2026 Pricing, Features, Reviews & Alternatives

Dregs is a fraud detection platform that helps SaaS applications identify bots, fake accounts, duplicate signups, and abusive behavior. Integration is a lightweight JavaScript tracking script plus an event API: the script fingerprints devices and captures user activity, and Dregs begins scoring identities in a self-serve dashboard.

Each identity receives four scores that update as activity evolves. Humanity measures whether sessions show signs of automation or scripted browser control. Authenticity assesses profile credibility, including disposable-email and fake-profile detection. Uniqueness links related accounts through shared devices, IP addresses, sessions, and similar identity details to surface duplicate accounts and repeat trial abusers. Behavior evaluates how an account's actions compare to your ideal usage patterns.

Detection logic is transparent and tunable: every score is built from individual analyzer observations you can inspect, adjust, and extend, rather than a single opaque risk number. Rules can apply badges to notable identities and raise alerts, with notifications delivered to the dashboard, email, Slack, or webhooks for integration into existing workflows.

Teams typically roll Dregs out in four stages — Scoring, Alerts, Escalation, and Autonomy — moving from passive observation to automated responses like rate limiting and account quarantine as trust in the scores grows. Common use cases include free-trial abuse, promo and referral fraud, stolen credit card testing, SMS pumping, credential stuffing, scraping, and phishing-related account abuse.