Sales-led vendors
Hide the price behind demos and annual contracts, and return a black-box verdict you cannot inspect.
About ShieldLabs
Our mission: give every platform, whatever its size, an honest view of its traffic and the signals to fight abuse and fraud.
ShieldLabs cross-checks network and device intelligence on every visit, with 99.9% identification accuracy and 99.9% risk signal detection accuracy. Platforms with that depth usually sit behind annual contracts. ShieldLabs publishes its pricing and starts free.
Every visit comes with deep traffic-quality analytics and an explainable risk score, so you can see the anonymous traffic in your visits and stop abuse and fraud, ready out of the box. All in about five minutes.
If you run a SaaS product, a marketplace, a fintech, or a crypto app, you have an abuse and fraud surface whether you can see it or not. Repeated signups draining free trials. The same person behind a dozen accounts. Promo and referral payouts claimed over and over. Account takeover at login and payment fraud at checkout. Paid traffic that turns out to be anonymous, and analytics quietly distorted by visitors hiding behind anonymizing tools.
ShieldLabs is a platform for measuring traffic quality and detecting abuse and fraud, for platforms of any size. The same anti-detect browsers, residential proxies, and farmed accounts hit every platform, whatever its size, so every platform needs the same depth of detection.
When a team goes looking for a fix, it hits three walls
Hide the price behind demos and annual contracts, and return a black-box verdict you cannot inspect.
An open-source fingerprinting library gives you a browser hash, plus three-to-six months of engineering to add IP intelligence, network checks, and ongoing maintenance.
Drags on for weeks: a demo, several sales calls, and a long onboarding before you can run a single check.
We built enterprise-level functionality without enterprise pricing: every signal explainable instead of a black box, and every plan open self-serve.
ShieldLabs collects 300+ raw signals on every visit, across the device, browser, operating system, IP, and network. From those signals, ShieldLabs:
The device and visitor behind a visit, and recognizes them again across sessions, cleared cookies, incognito windows, and rotated IPs, even under a fresh email.
Anonymized traffic through named risk signals, 300+ in total: visits arriving through a VPN, a proxy, an anti-detect browser, a spoofed location, and more.
Every visit from 0 to 100 with a full breakdown of which signals fired and how much each weighed, in three bands: Trusted, Suspicious, and Dangerous.
High-Risk Events directly: multi-accounting, account sharing, impossible travel, and account takeover, each with Medium or High confidence, in your analytics dashboard, API, and webhooks.
Traffic quality by source, so you see the split across channels, referrers, and UTM, not one aggregate number.
Real-time analytics let your team tell anonymous and fraudulent traffic from real visitors and users at a glance.
You get honest data in one analytics dashboard, plus an API and webhooks, so your team can act on the result in your backend.
ShieldLabs flags risky users and helps block fraudulent and abusive traffic, with the data to explain every case.
The principles that guide our product, our team, and the calls we make.
Every risk score shows its work: which signals fired, what each one weighed. You should never have to second-guess a number you can't see inside.
Detection works from the first visit, with no rule setup. You get the signals, the score, and High-Risk Events, and choose the action for each case.
We don't pool your traffic into a shared network across customers. We collect technical signals and IP, not names, emails, or payment data.
Four tiers with published prices, no sales call to see a number, no surprise module in the upsell tier.
We'd rather you install the free tier and watch the signals on your own traffic than sit through a demo. If the data isn't useful, no slide deck will fix that.
We lean on AI tools to build and ship detection updates faster. They speed up the work; the judgment and the final call stay ours.
ShieldLabs V2. Network and device intelligence as one layer, 99.9% identification accuracy, 99.9% risk signal detection accuracy, and ready-made detection of multi-accounting, account sharing, impossible travel, and account takeover across web traffic.
You don't have to take those numbers on faith. We give you 5,000 free identifications, so you can watch the signals work against your own traffic and decide for yourself.
ShieldLabs is built for the traffic platforms see today: anti-detect browsers, anonymized connections, bots, and AI agents, rather than a decade-old engine carrying a decade of assumptions. Full feature set on every paid tier, from the first one.
Customers shape the roadmap. Tell us what you want detected next.
The same signals serve different jobs. Here's what ShieldLabs means depending on where you sit.
Know how much of your growth is real before your board asks. Catch the abuse draining trials and promos, and forecast your bill on flat, public pricing instead of a custom quote.
Signals and an explainable score, ready to act on in your backend. No black box, no model you can't inspect, no waiting on a vendor to tune it for you.
A five-minute install, an API and webhooks, and the full feature set on the first paid tier. Self-serve from day one, no procurement cycle, no two-month rollout.
Stop paying to acquire anonymous and fraudulent traffic. See your real numbers, so CAC, LTV, and attribution actually mean something.
ShieldLabs returns the evidence and the score, and you choose the action for each case, so every outcome can be explained to your team and your users.
The fastest way to understand ShieldLabs is to install it and watch the signals come in. It takes about five minutes and costs nothing to start.
Questions? Email us at [email protected].