Dregs vs Sift
Sift is one of the most established platforms in fraud prevention, scoring over a trillion events a year across a global network of brands. If you're evaluating it, the honest first question isn't which tool is better; it's which problem you actually have. Sift's center of gravity is payments fraud at enterprise scale. Dregs is built for a smaller, different problem: fake and abusive accounts in SaaS products. Here's the comparison, honestly drawn.
Choose Sift if…
- Payment fraud, chargebacks, or dispute management is your core problem
- You want ML trained on consortium data spanning 34,000+ sites and apps
- You need enterprise workflow: case management, expert services, dedicated support
- You have the budget and procurement process for an annual enterprise contract
Choose Dregs if…
- Your problem is fake users, free trial abuse, or duplicate accounts — not payments
- You want to see exactly why an account was flagged, not trust an opaque number
- You want published pricing and a working integration this week, from $17/month
- You'd rather automate responses with webhooks than staff a review team
At a glance
| Dregs | Sift | |
|---|---|---|
| Built for | B2B SaaS teams fighting fake accounts, free trial abuse, and multi-accounting | Enterprise brands fighting payments fraud, chargebacks, and account takeover |
| Center of gravity | Account quality — is this user real, unique, and behaving like a human? | Transaction risk — should this payment be approved? |
| Scoring transparency | Every score opens into named observations with values, confidence, and plain-English explanations | ML risk score from consortium-scale models; G2 reviewers describe the scoring as hard to interpret |
| Data network | Scores are computed from your own traffic — no cross-customer consortium | Global network spanning 34,000+ sites and 1T+ annual events |
| Pricing | Published, from $17/month; 14-day free trial, no credit card | Not published; annual sales-led contracts (third-party data puts the median near $150k/year) |
| Getting started | Self-serve signup, minutes to install | Request a demo, then a sales and onboarding cycle |
What Sift does well
Sift's scale is substantial: its models score more than a trillion events a year across a network of 34,000+ sites and apps, which gives it a view of fraud patterns no single-tenant tool can replicate. It holds a 4.6-star rating across roughly 600 G2 reviews and has ranked #1 in G2's fraud detection categories repeatedly through 2025 and 2026. For a large marketplace or fintech deciding which of millions of transactions to approve, that consortium effect and ML maturity are exactly what you're paying for.
Where Dregs takes a different approach
The account layer, not the payment layer
Most SaaS abuse never touches a payment. The freeloader cycling through free trials, the fake users polluting your signup metrics, the one person operating six accounts to farm referral credits — these are account problems, visible in device fingerprints, identity data, and behavior long before (and whether or not) money moves. Dregs scores every account on four dimensions — Humanity, Authenticity, Uniqueness, and Behavior — updated within seconds of new activity, from the moment a suspicious account registers.
Scores you can interrogate
The most common criticisms in Sift's G2 reviews are about trust in the score itself: G2 reviewers report "inaccuracy of Sift's scoring system, leading to misleading results," false positives "leading to unnecessary reviews and friction for legitimate transactions," and a "lack of clarity in Sift's decision-making process." That's the inherent trade-off of consortium-scale ML: enormous statistical power, limited explainability. Dregs makes the opposite trade. Every score decomposes into individual analyzer observations — each with a value, a confidence, and a plain-English explanation — so when you disagree with a score, you can see exactly which observation to challenge. False positives happen in every fraud system; the difference is whether you can diagnose them in one click or one support ticket.
A price a SaaS team can actually start at
Sift publishes no pricing — there's no pricing page on sift.com — and third-party procurement data (Vendr) puts the median contract around $150,000 a year, with the low end near $30,000. That's rational for enterprise payments fraud, where a single percentage point of approval rate is worth millions. It's a non-starter for a seed-stage SaaS losing a few thousand dollars a month to trial abuse. Dregs starts at $17/month, every price is published, and the trial requires no credit card and no sales call.
Sift pricing vs Dregs pricing
Dregs pricing
- Entry plan
- $17/month
- Includes
- 100 active identities
- Mid tier
- $177/month (5,000 identities)
- Top published tier
- $377/month (10,000 identities)
- Free trial
- 14 days, no credit card
- Pricing published
- Yes, fully
Sift pricing
- Published pricing
- None — no pricing page on sift.com
- Contract model
- Annual, sales-led
- Median contract (per Vendr)
- ~$150,000/year
- Reported range (per Vendr)
- ~$29,600–$600,000/year
- Free trial
- None advertised
A note on the numbers: because Sift doesn't publish pricing, the figures above come from Vendr's third-party contract data, not from Sift — treat them as representative, not official. The structural point stands regardless: one product is bought through procurement, the other through a signup form.
The bottom line
Sift and Dregs mostly aren't competing for the same buyer. If you're an enterprise optimizing payment approvals, Sift belongs on your shortlist and Dregs doesn't. If you're a SaaS operator watching fake accounts and trial abusers distort your funnel, an enterprise payments platform is the wrong shape and the wrong price — that's the problem Dregs exists for. Comparing fraud-and-compliance platforms too? See Dregs vs SEON. For an account-abuse tool closer to our own size, see Dregs vs Castle.
Frequently Asked Questions
Q: Is Dregs a good Sift alternative?
A: For enterprise payments fraud, no — Sift's consortium data and transaction decisioning operate at a scale Dregs doesn't attempt. But if you were looking at Sift because fake users, trial abuse, or duplicate accounts are hurting your SaaS product, Dregs addresses that specific problem directly, with published pricing from $17/month and a self-serve trial instead of an enterprise sales cycle.
Q: How much does Sift cost?
A: Sift doesn't publish pricing. As of July 2026 there is no pricing page on sift.com, and contracts are negotiated annually. Third-party procurement data from Vendr reports a median around $150,000 per year, with contracts ranging from roughly $29,600 to $600,000. Dregs publishes all of its pricing, starting at $17/month.
Q: What is the main difference between Dregs and Sift?
A: Sift decides whether to trust transactions, using machine learning trained on a global network of payments data. Dregs decides whether to trust accounts, by continuously scoring each identity on your platform for humanity, authenticity, uniqueness, and behavior — and showing you exactly which observations produced each score.
Q: Does Dregs handle chargebacks or payment fraud?
A: No. Dregs doesn't process payments data and has no chargeback or dispute tooling. It focuses on the account layer: catching fake, duplicate, and abusive users at and after signup, before they ever reach your payment flow.
Compare on your own traffic, not our copy.
Install Dregs in minutes and watch it score your real signups for humanity, authenticity, uniqueness, and behavior. 14-day free trial, no credit card, no demo call required.
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