Free-Trial Abuse Prevention
Free trial abuse prevention.
Keep resources for customers.
Repeat accounts and bots consume free credits, API quota and storage meant for new customers. ShieldLabs detects multi-accounting and automation at signup, helping protect your free tier.
Start FreeStart your free trial
Start your trial with $50 in free credits!
Browser automationAnti-Detect BrowserVPN
Protect free-tier capacity
Keep credits, API quota and storage available for genuine evaluations.
Make trial limits effective
Help prevent repeat accounts from restarting introductory access.
Keep growth numbers genuine
Keep bot-created trials from inflating new-customer numbers.
Keep onboarding welcoming
Give genuine new users a clear route into the product.
Free-tier protection
Stop repeat trials.
Keep resources for customers.
ShieldLabs detects multi-accounting among accounts created with different email addresses. Stop repeat trial enrollment and keep free credits, API quota and storage for eligible customers.
Bots and automation
Stop automated trial farming.
Protect product capacity.
Bots can register accounts and consume free resources at scale. ShieldLabs detects browser automation and headless clients to help keep your free tier available to real customers.
Expose disguised requests
Detect proxies and anti-detect browsers around trial signup and resource access.
Find risky acquisition sources
See the channels, referrers and UTM campaigns bringing automated trial traffic.
The ShieldLabs platform
More than a new signup.
The identity behind free access.
Combine visitor identification and multi-accounting detection with device evidence, network masking signals, bot detection, risk assessments and traffic analytics throughout the evaluation journey.
Enterprise-level functionality. Without enterprise pricing.
Accurate identification
Recognize returning visitors even when they clear cookies, use incognito mode or change their IP address. Detect linked users with different email addresses.
Identification accuracy
High-Risk Event detection
Detect account abuse out of the box by automatically identifying linked users. No fraud model training is required.
Risk signals
Get ready-made detections of automation, masking and spoofing, with named risk signals behind each result.
Bot & AI traffic detection
Detect bot activity from browser automation signals. Recognize useful crawler and AI traffic alongside abuse detections.
Risk scoring
Score every visit from 0 to 100 and classify it as trusted, suspicious or dangerous. See the signals behind each score.
Device fingerprinting
Recognize devices by their fingerprints. Identify the browser, operating system and device type. Detect headless browsers and tampering.
IP & Network Intelligence
Reveal the real IP address and geolocation behind masking. Detect VPNs, proxies and private relays.
203.0.113.42198.51.100.23Traffic quality scoring and risk analytics
Get one score for all your traffic and ready-made quality results by source, channel, referrer and UTM campaign.
Analytics dashboard
Find multi-accounting.
Find its acquisition sources.
Find linked users and bots around trial enrollment, with ready-made risk assessments and source attribution.
How it works
Start protecting your product.
Connect once and start receiving ready-made fraud and abuse detections.
- 01
Add the snippet or SDK
Connect your product and start identifying visitors and users.
- 02
Receive ready-made detections
Get detected fraud and account abuse in the dashboard or through API integrations.
- 03
Prevent fraud and abuse
Protect customer accounts, paid access and signup incentives in your product.
Developers
Integrate in
5 minutes.
A single API to identify, detect and score. Receive risk data through API responses and webhooks. Integrate selected data points into your business logic to prevent fraud and abuse.
Protect your users and product
Make abuse visible.
Keep genuine users moving.
Start Free FAQ
Understand the evidence.
Put it to work.
What is free-trial abuse?
Free-trial abuse is repeated or automated enrollment intended to obtain more introductory access, credits or free resources than a product permits.
How does ShieldLabs help prevent free-trial abuse?
ShieldLabs detects multi-accounting among accounts registered with different emails, plus bots detected through browser automation. Help protect trial access, API quota, credits and storage for eligible customers.
What is trial cycling?
Trial cycling is a form of free trial fraud: someone registers additional accounts to restart introductory access. It can consume free credits, API quota, storage or other evaluation benefits.
Can clearing cookies restart the identity history?
ShieldLabs recognizes returning visitors after cookies are cleared and keeps recognized activity associated with visitor history. Link that evidence with your prior trial allocations.
Can this protect both time-limited trials and free quotas?
Yes. The identity and account evidence can support either workflow. Trial dates, remaining credits and entitlement limits come from your product.
How is ShieldLabs free access different from a trial?
ShieldLabs provides 5,000 free identifications, with no credit card required. The examples on this page describe trial and free-tier programs operated by your product.
Why does trial cycling distort acquisition metrics?
Repeated accounts and bots can inflate trial signups without representing new customers. ShieldLabs detects multi-accounting and browser automation to help protect free-tier resources and genuine trial acquisition.