ShieldLabs

Stop abuse of your product.

Detection of risky users under any masking, so you stop multi-accounting, account sharing and takeovers before they start costing you money.

Start Free

5,000 free identifications · 5-min setup · No credit card

Cleaner traffic, fewer losses, sharper decisions

ShieldLabs turns anonymous traffic into a risk score for every visitor, so your ad budget, margins, and metrics are based on real users, not the noise.

Protect revenue

Multi-accounting, repeat bonus claims, and paid-period abuse surface early, before they eat into your margins.

Protect ad budget

Know which signups are fake before the acquisition spend is wasted, so budget goes to real users.

Metrics you can trust

Separate real signups from fake ones so CAC, LTV, and conversion reflect reality.

Use cases

One signal layer, many kinds of abuse and fraud

The same identity and risk signals power detection that keeps traffic clean and accounts honest, ready out of the box.

  • Traffic quality check: Score every visit and roll it into one traffic-quality number, so you see how clean your traffic really is and where the risk concentrates.
  • Account takeover: Spot logins with stolen credentials while recognizing legitimate users, even behind a VPN or in incognito. Signals: Country, IP address, Proxy, Anti-detect browser.
  • Account sharing: See when one paid account is quietly shared across many people, devices and locations, well beyond a single household. Signals: Geolocation, VPN.
  • Multi-accounting: Catch one person spinning up many accounts from a single device, even with fresh emails, cleared cookies or incognito mode. Signals: Abuser, VPN, Anti-detect browser.
  • Promo and bonus abuse: Stop the same person farming sign-up bonuses, referral credits and promo codes across throwaway accounts on one device. Signals: Abuser, Datacenter IP, Incognito.
  • Free trial abuse: Detect users cycling through free trials on fresh emails from the same device to keep using the product for free. Signals: Abuser, VPN, Incognito.
  • Ad and traffic fraud: Filter bot clicks, datacenter traffic and click farms out of your paid campaigns so you pay for real people, not fake visits. Signals: Suspicious paid click, Datacenter IP, Anti-detect browser.
  • Returning visitor: Recognize returning, trusted visitors on their first request and tailor the experience, no repeated checks, no added friction. Signals: Returning visitor, Device fingerprint, Location.

Traffic quality check

Score every visit into one traffic-quality number

Score every visit and roll it into one traffic-quality number, so you see how clean your traffic really is and where the risk concentrates.

More about Traffic quality check

Traffic quality

51,762 identifications checked

56
Suspicious · Needs attention
Trusted0–2928,680 · 55.4%
Suspicious30–5912,070 · 23.3%
Dangerous60–10011,012 · 21.3%
Identification

Recognize every visitor, even the anonymous ones

ShieldLabs builds a persistent identifier from device, network, and browser signals on the first visit, so the same visitor stays recognized long after the cookie is gone.

Accurate Identification

The same visitor stays recognized across cleared cookies, rotated IPs, and incognito sessions.

Built from 300+ signals

Device, OS, browser, IP, and network signals collected on the first page load.

Linked into one identity

Visitors, devices, and accounts connect into a single graph you can act on.

Risk signals

Read every visit across 300+ signals

From a clean visit to a spoofed browser, ShieldLabs reads 300+ browser, network, and device signals and surfaces the risk signals behind each visitor, rolled into one explainable risk score.

Network Intelligence
VPN
Proxy
Tor
Privacy Relay
Datacenter
IP Reputation
IP Mismatch
Anti-Detect Browser
OS Tamper
Browser Automation
Incognito
IP Geolocation
Geolocation Spoofing
Suspicious Paid Click
Explainable risk scoring

Every score comes with the signals behind it

ShieldLabs returns a risk score from 0 to 100 with the details that produced it, so it is never a black box. Choose the action for each case and act on the result in your backend.

0/100
Risk score
Trusted
IDvis_8f3a·2e7c
Proxy
Datacenter IP
Anti-detect browser
High-Risk Events

Detect multi-accounting, account sharing and account takeover directly

High-Risk Events link users, devices and IP addresses and flag abuse with a confidence level, with detection rules you can tune for multi-accounting and account sharing.

Active from day one

Multi-accounting, account sharing, impossible travel and account takeover are detected out of the box, with no fraud model to build.

Graded by confidence

Every event surfaces with a Medium or High confidence level, with the accounts and devices involved.

Across the full history

Detection runs across users, devices and IP addresses over the period you choose, not just a single visit.

71Dangerous
42Suspicious
24Trusted
12Trusted
6Trusted
Traffic Analytics

See how clean your traffic really is

Measure traffic quality and see how much of your traffic is anonymous, broken down by channel, referrer, and UTM, with a Traffic Risk score on every source.

Assess traffic quality at a glance

A single Traffic Risk score showing what share of your traffic is anonymous.

Anonymity by channel and UTM

See which partner, creative, or campaign delivers invalid traffic instead of real visitors.

Your real audience, finally visible

Recognize returning visitors even after cleared cookies and fragmented sessions.

Built for developers

Ship it in five minutes

One JS snippet installs it. Every request returns a persistent visitor ID, the risk signals behind it, and an explainable risk score, all over API and webhooks.

One JS snippet

Drop it on your site and start collecting signals in about five minutes.

API and webhooks

Delivered on every plan, including the free tier.

Everything in the payload

A visitor ID, risk score, risk signals, High-Risk Events, and detection flags on every response.

Ready out of the box

Detection works with no rule setup. Act on the result in your backend.

index.html
<script type="module">
  const mod = await import('https://cdn.shieldlabs.ai/snippet.js?publicKey=YOUR_PUBLIC_KEY');
  mod.checkAnonymous();
</script>

Works on any stack

One snippet drops into a framework, a CMS, or a no-code builder.

JavaScriptJavaScript
WordPressWordPress
TildaTilda
ShopifyShopify
Next.jsNext.js
ReactReact
AngularAngular
Vue.jsVue.js
PreactPreact
SvelteSvelte

Start free. Scale when you're ready.

A free tier to get going, then transparent self-serve pricing that scales with your traffic. No sales calls, no annual or enterprise contracts to sign.

Start with 5,000 free identifications

See the anonymous and abusive traffic you're missing.

Start Free
  • Starter

    Monitor traffic quality as you grow.

    $79/ mo

    Billed yearly

    Save $238 a year

    25,000 identifications / month

    $0.00317 per identification

    Then the same rate per additional identification

    • Identification
    • Risk signals
    • Risk scoring
    • High-Risk Events
    • Detailed risk analytics
    • API
    • Webhooks
    • Support
    Start Free
  • Growth

    Most Popular

    Catch abuse before it costs you.

    $319/ mo

    Billed yearly

    Save $958 a year

    150,000 identifications / month

    $0.00213 per identification

    Then the same rate per additional identification

    • Identification
    • Risk signals
    • Risk scoring
    • High-Risk Events
    • Detailed risk analytics
    • API
    • Webhooks
    • Support
    Start Free
  • Scale

    Built for high-traffic platforms.

    $799/ mo

    Billed yearly

    Save $2398 a year

    500,000 identifications / month

    $0.00159 per identification

    Then the same rate per additional identification

    • Identification
    • Risk signals
    • Risk scoring
    • High-Risk Events
    • Detailed risk analytics
    • API
    • Webhooks
    • Support
    • 99.9% SLA
    Start Free

Frequently asked questions

ShieldLabs is fraud detection and prevention with traffic quality scoring. It detects users running multiple accounts, account sharing and takeovers under any masking, so you prevent losses from free-trial, bonus, promo and API abuse. Founded in 2025, ShieldLabs returns a risk score with the named signals behind it for every visitor, user, device and IP address.

You add the JavaScript snippet or an SDK to your site. On every visit, ShieldLabs collects 300+ device and network signals, identifies the visitor and user, and delivers a risk score from 0 to 100 with the signals behind it through the API and webhooks. Detection is ready out of the box.

ShieldLabs detects VPNs, proxies, Tor, Apple Private Relay, datacenter IPs, anti-detect browsers, browser automation, bots and AI agents, and recognizes returning visitors even after cleared cookies and IP changes. It directly detects multi-accounting, account sharing, account takeover and impossible travel.

Yes. ShieldLabs stops fraud and helps block fraudulent and abusive traffic. It returns the risk score, the named signals and High-Risk Events, ready to act on in your backend.

ShieldLabs delivers 99.9% identification accuracy and 99.9% risk signal detection accuracy by cross-checking signals across device and network layers, rather than relying on a single cookie or IP address that breaks within weeks.

Yes. ShieldLabs starts at $0 with a one-time 5,000 free identifications, so you can identify anonymous visitors and score your traffic today. From there, transparent pricing scales with your needs, starting at $99 per month for 25,000 identifications. Every tier includes the API and webhooks.

Identify visitors at any level of anonymity

Assess traffic quality and prevent abuse and fraud, with 99.9% identification accuracy and a 5-minute install.

One JS snippet. API and webhooks on every tier. You set the rules.