Sift alternatives
Five alternatives to Sift, compared on pricing and coverage. Including the case where the right answer is a vendor category we don't compete in.
See Rupt on your traffic
Book a 20 minute demo. We walk through your use case on real evaluations and price out your volume.
The short version
Updated August 2026
- Teams outgrow Sift over the buying, not the ML: quote-only sales, a median contract of $150,000 a year per Vendr, 3 to 7% annual escalators, and overage fees 20 to 50% above base rates.
- Rupt is our own product and it's listed first, so read the entries with that in mind. Every claim below is sourced from public pricing pages and reviews.
- The list covers the whole spread: a full fraud engine, a digital footprint platform, developer risk APIs, a no-code trust and safety console, and a raw identification layer.
Why teams go looking.
Sift earned its position. Its focus on payment and transaction fraud is deep. The console gives fraud operations teams real case review tooling. Nothing on this page argues the ML is bad.
The complaints are about everything around it. Vendr's data puts the median at $150,000 a year with a floor around $29,600. Contracts commonly carry 3 to 7% annual escalation clauses, overage fees run 20 to 50% above base per-event rates, and implementation often adds $5,000 to $20,000 in professional services. On G2, reviewers report false positives that create manual review workload, and describe the integration as slow and configuration-heavy.
One structural gap matters more than any of that: Sift does not absorb chargeback liability, and neither does anything below. The guarantee model, where the vendor eats the fraud losses on approved orders, is a separate category (Signifyd and Riskified are its best-known names) that we haven't deep-reviewed here. The list below is for the other case: you need account defense, device intelligence, or fraud scoring, and a six-figure quote-based contract is the wrong shape for it.
The alternatives.
Pricing pulled from public pages, August 2026. Sift has no public pricing, so its numbers come from Vendr's recorded contract data, and we say so.
1. Rupt That's us
A full fraud engine built around your product. One evaluation returns the fingerprint, 100+ identification signals, scored risks, and an allow / challenge / block / add-to-list verdict. Rupt hosts the challenge if one is needed.
Focus:Product-level fraud and abuse: detection, rules, and enforcement in one engine.
Pricing:$99/month with 20,000 evaluations included, then $0.005 each, and the price goes down with volume. Challenges $0.10 only when delivered.
Strengths
- +Rules engine and challenge engine included in the base plan.
- +AI agent monitors new patterns and investigates cases marked for manual review.
- +People detection estimates how many humans share an account rather than how many browsers appear on it.
- +Cross-browser device linking, plus email, IP, and phone intelligence in the same call.
- +Unified user view for AI agents and humans to make informed decisions.
Keep in mind
- -No Flutter SDK today.
- -Fast-paced startup; the product evolves quickly.
2. SEON
A payment fraud platform: digital footprint enrichment on emails and phones, ML scoring trained on historical transactions, and AML screening. Transactions run through the whole product.
Focus:Payment fraud and identity context from digital footprints.
Pricing:Starter at $699/month for 2,500 API calls, about $0.28 each. Premium is quote-based.
Strengths
- +Strong focus and data around risky transaction/payment activity.
- +AML screening in the same platform.
Keep in mind
- -Transaction-shaped API with fixed verdicts; the ML improves through a separate Label API you wire up.
- -Its docs put the lowest supported lookup timeout at 1.5 seconds.
- -Non-payment abuse means molding your events into a transaction shape, then building enforcement yourself.
3. Castle
Developer risk APIs for account fraud on authenticated apps: device, email, and IP intelligence with policy rules and public unit pricing.
Focus:Risk scores and policy verdicts for login and signup abuse on authenticated apps.
Pricing:Free tier with a $5 monthly credit, Pro at $200/month including 40,000 risk requests ($0.005 each after), Enterprise from $4,000/month. Vendr pegs the median enterprise contract at $119,500/year.
Strengths
- +Rules, lists, and a mature decisioning layer.
- +Good rules engine and data organization.
Keep in mind
- -No challenge engine included so that still needs to be built by you.
- -Setup and integration support is Enterprise-only, per its own pricing FAQ.
- -Developer experience is good, but can be difficult to customize if flexibility is important to you.
4. Verisoul
All-in-one fake account and fraud detection with a no-code decision layer, plus step-up verification like face match and ID checks as paid add-ons.
Focus:Dashboard-first fake account detection with a no-code decision layer.
Pricing:Not transparent. The entry tier is dashboard only, no API.
Strengths
- +No-code rules a non-engineer can actually operate.
- +Built-in face match and ID verification.
Keep in mind
- -No challenge engine included, so you have to build that yourself.
- -Small surface area when it comes to fraud/abuse cases. Most of the focus is on fake accounts.
- -Not easy to modify/customize to your specific workflows.
5. Fingerprint
The identification layer: a visitor ID with a claimed 99.5% accuracy plus 20+ Smart Signals. You bring the decisioning, the rules, and the interventions.
Focus:Visitor identification and raw device signals; the decisioning layer stays in-house.
Pricing:$99/month for 20,000 API calls, then $4 per 1,000 additional. Free tier of 1,000 calls per month.
Strengths
- +Identification accuracy and SDK breadth lead the category, with 11 client platforms.
- +Excellent docs and developer experience.
- +Cheap way to add device signals to a decisioning stack you already run.
Keep in mind
- -Signals only: rules, case review, challenges, and email checks are all yours to build.
- -Not a Sift replacement by itself; it is the main ingredient of one.
- -G2 reviewers call it pricey for smaller companies once volume grows.
Rupt vs Sift, quickly.
The short version. The full comparison covers signals, migration, and where Sift wins.
Frequently asked questions.
Why choose Rupt.
A full fraud engine, end to end
Identification, intelligence, decisioning, and enforcement are one product, not four you wire together. One evaluation returns the fingerprint, the signals, the scored risks, and a verdict, and Rupt acts on that verdict. Nothing in the middle is left for you to build and then maintain.
100ms at p99
Not an average that hides a long tail. 99 out of 100 evaluations come back inside 100ms, which is what lets you put Rupt directly in the login and signup path instead of running it after the fact.
Risks you can actually build
Rupt ships with its own risks ready to go, and you can compose your own from individual indicators with your own weights and your own actions. That is real customization, not tuning a threshold on somebody else's score.
Unmatched support
Integration setup help, developer meetings, and direct Slack and email access, with replies in hours, on every plan. Most vendors reserve that for their top tier. Don't take our word for it though, just ask our customers.
State of the art AI
The agent protects and detects. It watches your traffic for new and emerging fraud patterns as they form, then tells you what it found and what to do about it, down to the policy changes and updates it recommends you make.
A challenge engine that's a whole journey
Not a single screen bolted onto a verdict. Challenges are customizable and built around an end goal, whether that's adding friction, converting a sharer into their own account, or stopping a takeover, with cooldowns and velocity controls shaping how and when someone gets challenged.
Single-vendor pricing
Fingerprinting, email and phone intelligence, rules, and challenges usually mean a vendor and an invoice each. Because Rupt ships them together, the bundle costs less than the sum of the point tools.
See Rupt on your traffic.
Book a demo and we'll walk through your use case, show you the signals on real evaluations, and price out your volume.
- A walkthrough tailored to your use case.
- How detection, the rules engine, and challenges fit your stack.
- Pricing and a rollout plan for your volume.