IPQualityScore alternatives
Five alternatives to IPQS, compared on pricing and what each includes. Written by a competitor, sourced so you can check every claim.
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The short version
Updated August 2026
- IPQS focuses on lookup APIs: IP, email, etc, each answering one question about one object. Support for the layers beyond the lookup is weak, so many customers end up building a rules engine and a challenge engine and tending to them.
- IPQS plans provide basic lookups at a price of $0.02-$0.05 / lookup, one of the most expensive options in the industry. Rupt starts at $0.005 / evaluation (up to 10x lower) and is a full fraud engine, not just lookups.
- 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 docs.
- The list covers the whole spread: a full fraud engine, a pure identification layer, a digital footprint platform, developer risk APIs, and an enterprise ML suite.
Why teams go looking.
IPQS hands back facts about an object. This IP is a residential proxy. This phone number is VoIP. Those are useful, and the data underneath is legitimately good. IPQS is genuinely strong in reverse phone lookup and has accumulated a very strong data house there.
But you have to do a lot of work to interpret what the data means and how it can be used. On top of that, you have to build a decisioning engine to classify what is acceptable and what is not. Then you need to build a real and robust challenge engine on top of it all. That is what people leave over: support for the layers beyond the lookup is weak, and those layers need tending once they are yours.
The other reason is price. IPQS plans provide basic lookups at $0.02 to $0.05 a lookup, one of the most expensive options in the industry, and phone, email, IP, and fingerprint are each charged separately. Rupt starts at $0.005 an evaluation, up to 10x lower, and collapses those into one call, except for the phone lookup which is an addon.
Transparently though, this page is written by a competitor and Rupt is listed first. Judge it accordingly and check the sources. Every pricing number below comes from a public page you can open yourself.
The alternatives.
Pricing pulled from public pages, August 2026. Where a vendor hides pricing, we cite third-party contract data and say so.
1. Rupt That's us
A full fraud engine built around your product. One evaluation returns the fingerprint, 100+ identification signals, email and IP and phone intelligence, 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, with the account as the unit.
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. Public pricing, 7-day free trial.
Strengths
- +The rules engine, the challenge engine, and AI investigations are included, not layers you build and then tend to.
- +One evaluation returns the fingerprint, 100+ signals, email and IP and phone intelligence, scored risks, and an allow, challenge, block, or list verdict.
- +$0.005 per evaluation, up to 10x lower than a per-lookup price.
- +Device fingerprinting is in every plan rather than gated to a top tier.
- +The challenge is a full journey you shape to the goal, whether that's adding friction, converting a sharer into their own account, or stopping a takeover.
- +Unified user view for AI agents and humans to make informed decisions.
Keep in mind
- -Phone lookups are a paid addon rather than part of the single evaluation price.
- -Fewer client SDK platforms than some of this list (no Flutter today).
- -Fast-paced startup; the product evolves quickly.
2. Fingerprint
The identification layer: a browser visitor ID plus Smart Signals you feed into systems you build yourself. Rules, challenges, and decisions are yours to build.
Focus:Best-in-class device identification, feeding decisioning you build yourself.
Pricing:$99/month Pro Plus with 20,000 API calls included, then $4 per 1,000. A free tier covers 1,000 calls a month.
Strengths
- +Identification accuracy claims (99.5%) that hold up well in practice.
- +11 client SDK platforms including Flutter, the broadest in the category.
- +Docs and developer experience G2 reviewers rate near the top of the category.
Keep in mind
- -Identification only: rules, challenges, and email intelligence are yours to build or buy elsewhere.
- -On G2, expensive is the most-mentioned con.
- -The legacy free plan was removed in September 2025 with little warning.
3. 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.
4. 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.
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.
5. Sift
Enterprise machine learning fraud suite covering payment fraud, account defense, and content abuse, trained on a large cross-customer network.
Focus:Enterprise ML decisioning for payment fraud and trust and safety operations.
Pricing:Quote-based only. Vendr's data across 50 purchases shows a median of $150,000/year, ranging from about $30,000 to $600,000.
Strengths
- +Mature ML models with network effects across a big customer base.
- +If you have teams already manually reviewing, it integrates into their workflow.
- +Covers payments and chargebacks as first class.
Keep in mind
- -No public pricing; the median contract is six figures.
- -G2 reviewers report false positives creating review workload.
- -Heavy integration relative to the tools above.
- -Focuses on payment/transaction risks, so hard to customize beyond that.
Rupt vs IPQS, quickly.
The short version. The full comparison covers per-lookup pricing, the rules and challenge engines, Fraud Flows, and what IPQS is strong at.
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.