ShieldLabs Fraud Detection & Bot Prevention for Web Apps
What is ShieldLabs
ShieldLabs is a visitor identification and anonymous-traffic detection platform built for web applications. It detects risky users under any masking, so teams can stop multi-accounting, account sharing, and account takeovers before they start costing money. A single JavaScript snippet collects over 100 device, network, and browser signals on the first visit, then returns an explainable risk score from 0 to 100 through an API and webhooks. Every score comes with the anonymity signals behind it, such as VPN, proxy, Tor, anti-detect browser, and geolocation spoofing, so it is never a black box. The platform also ships ready-made patterns that flag multi-accounting, account farms, and ban evasion with a severity rating, with no custom rules to write. Free tier provides 5,000 identifications, and setup takes about five minutes.
How does ShieldLabs work
ShieldLabs works as a visitor identification API for fraud prevention. First, you add one JavaScript snippet to your site, which installs in about five minutes. On every visit, the snippet collects over 100 signals across device, OS, browser, IP, and network layers and builds a persistent visitor ID that survives cleared cookies and rotated IPs. The service then reads anonymity signals behind each visitor, including VPN, proxy, Tor, and anti-detect browser use, and rolls them into one explainable risk score from 0 to 100. Every response returns the visitor ID, the risk score, the anonymity signals, and detection flags over API and webhooks, while your code decides what to do with each score.
Benefits of ShieldLabs
ShieldLabs protects revenue and ad budget by surfacing fake signups, repeat bonus claims, and paid-period abuse early. Teams separate real signups from fake ones, so CAC, LTV, and conversion metrics reflect actual users instead of bot noise. The platform recognizes returning visitors even after cleared cookies and fragmented sessions, supporting loyalty and referral checks. Detection reaches up to 99 percent accuracy by correlating device and network signals, rather than a single cookie or IP. Because the product is a detection layer only, teams keep full control over allow, review, or block decisions, and every tier includes API access and webhooks.
Pros and Cons of ShieldLabs
Pros
- One JS snippet installs in about five minutes.
- Risk score is explainable, never a black box.
- Detects masking at any level, including anti-detect browsers.
- Ready-made patterns need no custom rules to write.
- API and webhooks included on every plan, even free.
Cons
- Free tier is a one-time 5,000-identification cap.
- Overage is on by default, so bills can grow with traffic.
- Blocking decisions stay with your code, not the platform.
- Paid plans start at 25,000 identifications per month.
Core Features of ShieldLabs
Visitor identification
ShieldLabs builds a persistent identifier from device, network, and browser signals, so the same visitor stays recognized across cleared cookies, rotated IPs, and incognito sessions.
Explainable risk scoring
Every visit returns a risk score from 0 to 100 with the anonymity signals that produced it, so the result is never a black box and your code owns the decision.
Anonymity signal detection
Over 100 data points surface VPN, proxy, Tor, privacy relay, anti-detect browser, OS tampering, incognito, and geolocation spoofing on each visit.
Ready-made abuse patterns
Pre-built patterns correlate accounts, devices, and signals across traffic history to flag multi-accounting, account sharing, account takeover, account farms, and ban evasion.
Traffic quality analytics
A Traffic Risk score breaks down anonymous traffic by channel, referrer, and UTM, so ad budget and metrics reflect real users rather than noise.
Use Cases of ShieldLabs
- SaaS and subscription platforms: detect free-trial cycling and paid-period abuse before revenue leaks.
- iGaming and casinos: stop bonus abuse, multi-accounting, and bonus farming across the full traffic history.
- E-commerce and marketplaces: filter payment fraud, promo abuse, and referral fraud at signup and checkout.
- Fintech and crypto exchanges: block account takeover and risky logins before funds leave the platform.
- Media and streaming services: prevent paywall bypass and account sharing between anonymous visitors.
- AI and large-scale apps: keep ad budgets on real users by filtering fake clicks and invalid traffic.
FAQs of ShieldLabs
What is ShieldLabs?
ShieldLabs is a visitor identification and anonymous-traffic detection platform. It identifies visitors, detects anonymity at any level, and returns an explainable risk score with the signals behind it, plus ready-made patterns that point to abuse and fraud such as multi-accounting, account sharing, and account takeover.
How does ShieldLabs work?
You add one JavaScript snippet to your site. On every visit, the snippet collects over 100 device, network, and browser signals, identifies the visitor, and delivers an explainable risk score from 0 to 100 through an API and webhooks. Your own code decides what to do with each score, whether to allow, review, or block.
What can ShieldLabs detect?
ShieldLabs detects VPNs, proxies, Tor, privacy relays, and anti-detect browsers, and recognizes returning visitors even after cleared cookies and rotated IPs. It also surfaces patterns that point to multi-accounting, account sharing, account takeover, and ban evasion, with a severity rating on each match.
Does ShieldLabs block fraud automatically?
No. ShieldLabs is the detection layer only. It surfaces the anonymity signals and the risk score, and your code owns the decision to allow, review, or block. The platform never blocks anyone automatically, so teams keep full control of their rules.
How accurate is ShieldLabs?
ShieldLabs identifies visitors with up to 99 percent accuracy by correlating signals across device and network layers, instead of relying on a single cookie or IP address that breaks within weeks. Each score is delivered with the details that produced it.
Is there a free tier?
Yes. ShieldLabs starts at zero with a one-time 5,000 free identifications, so you can identify anonymous visitors and score traffic without paying. From there, transparent pricing scales with your needs, starting at 99 per month for 25,000 identifications, and every tier includes the API and webhooks.
How does pricing and billing work?
You subscribe to a plan sized by your traffic. Bigger plans carry a lower effective rate per identification: 0.00396 on Starter, 0.00266 on Growth, and 0.00199 on Scale. Billing yearly saves 20 percent on every paid tier, and overage can be turned off in dashboard settings if you want a hard stop.
How to use ShieldLabs
- Add the JavaScript snippet: Drop a single snippet on your site, and it starts collecting device, network, and browser signals within about five minutes on any stack.
- Identify anonymous visitors: The snippet builds a persistent visitor ID from over 100 signals, so the same visitor stays recognized across cleared cookies and rotated IPs.
- Read the risk score: Every response returns a visitor ID, an explainable risk score from 0 to 100, and the anonymity signals behind it over the API and webhooks.
- Set your own rules: Use the returned signals and detection flags in your code to decide whether to allow, review, or block each visitor on signup, login, or checkout.
- Monitor traffic quality: Review the analytics dashboard to see how much of your traffic is anonymous, broken down by channel, referrer, and UTM, with a Traffic Risk score.
- Scale the plan: Start with the free 5,000 identifications, then match a monthly plan to your volume, 25K, 150K, 500K, or 1M plus, with yearly billing saving up to 20 percent.
ShieldLabs Website Traffic Analysis
Latest traffic information
- Monthly Visits1.45K
- Bounce Rate32.97%
- Pages Per Visit2.19
- Visit Duration00:01:37
- Global Rank9.58M
- Country/Region Ranking688.75K
Top Keywords
| Keyword | Traffic | Volume | Cost Per Click |
|---|---|---|---|
| explain what is sound fingerprint | 120 | 120 | -- |
| shield webhook | 100 | 110 | -- |
| "how to detect anti-detect browsers | 70 | 70 | -- |
| best system to detect multiple accounts on my platform | 50 | 50 | -- |
| a tool to detect atni detect broser | 40 | 40 | -- |
Top Regions
| Region | Percentage |
|---|---|
| India | 70.93% |
| United States | 29.07% |
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