Visitor identification
Persistent identification when IP changes
Understand traffic quality and visitor anonymity levels and protect your revenue from hidden abuse
Shieldlabs evaluates traffic quality and visitor anonymity levels even under deep masking, analyzes abuse patterns, and provides an explainable risk score for each visit
Anonymity detection
Detect VPN, proxy, and anti-detect browser
Abuse analysis
Detect multi-accounting patterns
Explainable Risk Score
Clear reasons and risk level
False positive reduction
Fewer errors without losing conversion
Anonymous traffic impacts business
The scale often remains unnoticed
Wasted Conversion Opportunities
Free access is used, but people don't buy.
Bonus & Reward Abuse
Giveaways and bonuses go to non-real users.
Drained Marketing Budget
Marketing budget is spent on fake activity.
Legitimate User Churn
Real users leave due to extra checks and blocks.
High Operational Costs
Traffic assessment requires expensive enterprise solutions or specialists.
Distorted Analytics Data
Metrics are distorted — conversion, CAC, and LTV are calculated on false data.
Key Features
Visitor Identification
Identification of a visitor even when IP address, cookies, or account change.
High-Precision Network Analysis
Detection of IP address, provider, network and connection type, geolocation, and reputation with up to 99% accuracy.
Deep Intelligence
Cross-layer analysis of device, operating system, browser, and network signals to detect inconsistencies and signs of masking.
Explainable Risk Score
Assignment of a Risk Score to traffic and each visitor, indicating risk level, scoring reasons, and contributing factors.
Abuse Patterns
Correlation of related entities and detection of abuse based on ready-made patterns with assessment of their scale and risk level.
API and Webhooks
Transmission of detailed data and Risk Score via API and Webhooks for automation of rules and protection scenarios.
Enterprise-Grade without Enterprise Cost
Providing enterprise-level analysis with fast integration and transparent pricing.
What Shieldlabs detects
Shieldlabs detects anonymization methods, masking techniques, and abuse activity across device, operating system, browser, and network levels.
VPN
Detection of connections through VPN providers and rotating IP infrastructure.
Proxy
Detection of connections through proxy servers of various types.
TOR
Detection of connections through the TOR network.
Privacy Relay
Detection of connections through Privacy Relay services.
Anti-detect browsers
Detection of browsers designed for masking.
Data center and hosting infrastructure
Detection of connections originating from data centers, cloud providers, and VPS infrastructure.
Environment spoofing
Detection of attempts to hide or alter real device, OS, and browser parameters.
Abuse activity
Detection of abuse activity indicating multi-accounting, account sharing, and signs of account compromise.
Use Cases
Where Shieldlabs helps identify risk and prevent abuse
Account Registrations
Detect when one person creates multiple accounts to commit multi-account abuse. Prevent fake registrations and maintain a real, trustworthy user base.
Free Trial and Freemium
Detect when users create new accounts to commit free trial abuse. Prevent repeated access and protect conversion to paid plans.
Subscriptions and Paid Access
Detect activity associated with subscription abuse and unauthorized access. Protect recurring revenue and maintain subscription integrity.
Account Sharing
Detect when one account is used by multiple users, indicating account sharing abuse. Prevent revenue loss and protect subscription value.
Plan and Usage Limit Bypass
Detect when users create accounts to bypass plan limits and commit usage abuse. Prevent abuse of product access and ensure fair usage.
Ban and Restriction Evasion
Detect when blocked users return under a new identity to evade enforcement. Prevent ban evasion and ensure platform integrity.
Referral Programs
Detect when users create accounts to commit referral abuse. Prevent referral fraud and protect acquisition efficiency.
Bonuses and Promotional Campaigns
Detect when users claim bonuses and promotional offers to commit bonus or incentive abuse. Prevent promotional abuse and protect marketing ROI.
Giveaways and Contests
Detect when users attempt to claim giveaway rewards and contest prizes to commit giveaway abuse. Prevent giveaway fraud and protect campaign fairness.
Traffic Quality and Acquisition
Detect anonymous visitors and traffic abuse. Prevent wasted acquisition spend and improve traffic quality.
Cryptocurrency / Web3
Detect sybil abuse and farming activity in crypto airdrops and reward campaigns. Protect fair reward distribution and prevent farming abuse.
Voting and Ratings
Detect when users submit multiple votes, indicating voting fraud. Prevent manipulation and ensure trustworthy outcomes.
Surveys and Data Collection
Detect when users submit multiple responses to commit survey fraud. Prevent data manipulation and protect analytics integrity.
How it works
From integration to explainable risk assessment and action
Fast Integration
Add a few lines of JavaScript and start analysis within minutes. Shieldlabs automatically identifies the visitor and collects signals.
Risk Score Calculation
Detection of anonymity indicators and assignment of a numerical Risk Score to each visitor and traffic source. The more inconsistencies and anonymity signals detected, the higher the final risk level.
Abuse Pattern Detection
The system correlates signals within a visit and over time, identifying abuse patterns. This helps uncover related entities and understand the overall level of risk.
Explainable Details & Action
Risk Score and scoring reasons are available in the dashboard or via API and Webhooks. Use the data to build your own rules, automate workflows, and make informed decisions.
Pricing
Simple, transparent pricing for every stage of growth.
Free
$0one time 1,000 requests
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For Traffic quality visibility
Includes:
- Visitor identification
- Anonymous detection
- Traffic & Visitor Risk Scoring
- Device Intelligence
- IP & Location Intelligence
- OS & Network Intelligence
- Mismatch detection
- Real-time dashboard
- Standard support
- API access
- Webhooks
Starter
$99/ month25,000 requests
$3.96 per 1,000 requests
Designed for ongoing traffic monitoring and paid acquisition validation.
Includes:
- Visitor identification
- Anonymous detection
- Traffic & Visitor Risk Scoring
- Device Intelligence
- IP & Location Intelligence
- OS & Network Intelligence
- Mismatch detection
- Real-time dashboard
- Standard support
- API access
- Webhooks
Growth
Most Popular$399/ month150,000 requests
$2.66 per 1,000 requests
For abuse detection and automated control. Move from monitoring to coordinated risk detection.
Everything in Starter +
- Cross-entity correlation
- Ready-made abuse patterns
- Pattern-based identity risk scoring
- Data export
- 99.9% SLA
- Priority support
Scale
$999/ month500,000 requests
$1.99 per 1,000 requests
For high-volume infrastructure. Optimized for high-traffic and regulated platforms.
Everything in Growth +
- Lower cost per 1,000 requests
Compare all features
Full breakdown of capabilities across plans
| Feature | Free | Starter | Growth | Scale |
|---|---|---|---|---|
| Visitor identification | Yes | Yes | Yes | Yes |
| Device identification | Yes | Yes | Yes | Yes |
| Account identification | Yes | Yes | Yes | Yes |
| Cross-session linking | Yes | Yes | Yes | Yes |
| Identity Graph | No | No | Yes | Yes |
Frequently asked questions
Understanding traffic quality means less abuse and less revenue loss
We'll help you ship a clean integration and keep false positives low.