Marketplaces Fraud & Abuse Prevention
Marketplace fraud prevention.
Grow trusted trade.
Repeat seller accounts, automated listings and account takeover undermine marketplace trust. ShieldLabs detects account abuse and bots to help protect onboarding, web activity and customer access.
Start FreeOpen a seller account
Set up your new storefront.
Browser automationProxy
Keep seller growth credible
Stop repeat accounts from inflating participation.
Protect listing capacity
Keep automated requests from consuming your product resources.
Secure customer access
Detect takeover around seller and buyer accounts.
Support trusted activity
Keep legitimate participants moving through the marketplace.
Seller onboarding
Stop repeat seller signups.
Protect marketplace access.
ShieldLabs detects multi-accounting among seller and buyer accounts created with different emails. Help enforce access restrictions and promotion limits when repeat participants return under a new account.
Listing workflows
Stop automated listing abuse.
Protect marketplace capacity.
ShieldLabs detects browser bots reaching signup, listing and review forms. Protect marketplace capacity from scripted submissions and automated scraping.
Expose disguised requests
Detect proxies and anti-detect browsers around marketplace signup and listing workflows.
Find risky acquisition sources
See the channels, referrers and campaigns bringing automated traffic to your marketplace signup and listing workflows.
Buyer and seller access
Protect established accounts.
Keep customers in control.
ShieldLabs detects account takeover around buyer and seller accounts. Help protect payout settings, saved payment access and sensitive account changes without disrupting trusted participation.
The ShieldLabs platform
More than one fraud check.
Protect your entire product.
Connect identification, device and network intelligence, bots, named risk signals and ready-made account abuse detections. Traffic quality analytics gives the sources behind risky activity.
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 bots, scripts and browser automation. Separate useful bot and AI traffic from abusive activity.
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 risky accounts and visits.
See the sources behind them.
Explore visitors, users, devices and IPs with detected account abuse and identification risk assessments. See traffic quality by channel, referrer and campaign.
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
Protect your marketplace.
Grow trusted participation.
Start Free FAQ
Understand the evidence.
Put it to work.
What is marketplace account abuse?
Marketplace risk includes repeated seller or buyer accounts, automated listing submissions and unauthorized access to established accounts. ShieldLabs detects these web activity and account abuse risks; it does not verify goods or sellers offline.
How does ShieldLabs help prevent fraud and abuse in Marketplaces?
ShieldLabs detects multi-accounting, bots and account takeover around your web product. Ready-made risk assessments help protect access, incentives and legitimate customers.
Can ShieldLabs identify returning sellers under new emails?
Yes. Multi-accounting detection connects associated registered accounts even when sellers use different emails; bot detection covers scripted listing requests.
Does visitor recognition work after cookies are cleared?
Yes. ShieldLabs recognizes returning visitors across new sessions, cleared cookies, incognito browsing and IP changes. These are visitor-recognition capabilities.
How do I integrate ShieldLabs?
Add the browser snippet or client SDK to your web product. Receive identification results, risk signals and account abuse detections through the dashboard, API integrations and webhooks.
Can a marketplace assess buyer and seller access?
Yes. Scored identifications and account takeover detection help protect account changes and web purchase flows without claiming to verify the goods being sold.
Can this help prevent automated reviews and repeat seller signup?
Yes. ShieldLabs detects browser bots around review and listing forms, and multi-accounting among registered users. These detections help protect marketplace participation and account restrictions.
Does ShieldLabs verify fake accounts or seller identities?
ShieldLabs detects bots and multi-accounting among registered marketplace accounts. It does not verify identity documents, business registration or whether an offline seller is genuine.