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What is Hoopoz?

Hoopoz is a cutting-edge AI platform specifically engineered to monitor ad compliance, track affiliate advertisements, identify creators, and eliminate illegal competitor ads, particularly in regulated industries where non-compliance poses serious legal, financial, and performance risks. The platform continuously scans the marketplace to remove unauthorized advertisements while guaranteeing that compliant brands attain the visibility they deserve. When unethical competitors flood the market with misleading claims, lack of disclosures, harmful content, or deceptive advertising, the cost-per-click (CPC) often rises, resulting in compliant ads becoming less visible; Hoopoz automates the cleansing of such environments while maintaining user anonymity. This advanced system thoroughly evaluates every advertisement across a variety of key channels and platforms, including Meta, Google Ads, TikTok, YouTube, Instagram, X, Twitch, Facebook, Rumble, Kick, Snapchat, and LinkedIn. In addition, Hoopoz Defend meticulously scrutinizes all components, such as frames, audio tracks, captions, overlays, images, affiliate links, and creator posts, to pinpoint any violations of policies, missing FTC disclosures, unsafe health or financial claims, prohibited imagery, and brand mentions, thus fostering a safer advertising environment. By offering these extensive features, Hoopoz not only protects brands but also encourages a more transparent and accountable advertising ecosystem, ultimately benefiting both businesses and consumers alike.

What is Fraud.net?

Best-in-class, Fraud.Net offers an AI-driven platform that empowers enterprises to combat fraud, streamline compliance, and manage risk at scale—all in real-time. Our cutting-edge technology detects threats before they impact your operations, providing highly accurate risk scoring that adapts to evolving fraud patterns through billions of analyzed transactions. Our unified platform delivers complete protection through three proprietary capabilities: instant AI-powered risk scoring, continuous monitoring for proactive threat detection, and precision fraud prevention across payment types and channels. Additionally, Fraud.Net centralizes your fraud and risk management strategy while delivering advanced analytics that provide unmatched visibility and significantly reduce false positives and operational inefficiencies. Trusted by payments companies, financial services, fintech, and commerce leaders worldwide, Fraud.Net tracks over a billion identities and protects against 600+ fraud methodologies, helping clients reduce fraud by 80% and false positives by 97%. Our no-code/low-code architecture ensures customizable workflows that scale with your business, and our Data Hub of dozens of 3rd party data integrations and Global Anti-Fraud Network ensures unparalleled accuracy. Fraud is complex, but prevention shouldn't be. With FraudNet, you can build resilience today for tomorrow's opportunities. Request a demo today.

Media

Media

Integrations Supported

Ekata
Emailage
Facebook
Google Ads
Instagram
Kick
LinkedIn
Meta AI
Rumble
Signifyd
Snapchat
TeleSign
TikTok
Twitch
TypingDNA
X (Twitter)
YouTube

Integrations Supported

Ekata
Emailage
Facebook
Google Ads
Instagram
Kick
LinkedIn
Meta AI
Rumble
Signifyd
Snapchat
TeleSign
TikTok
Twitch
TypingDNA
X (Twitter)
YouTube

API Availability

Has API

API Availability

Has API

Pricing Information

€1,000 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Hoopoz

Date Founded

2024

Company Location

Lithuania

Company Website

www.hoopoz.com

Company Facts

Organization Name

Fraud.net, Inc.

Date Founded

2016

Company Location

United States

Company Website

www.fraud.net

Categories and Features

Click Fraud

Account Alerts
Activity Monitoring
IP Address Monitoring
IP Blocking
Keyword Tracking
Refund Management
Risk Assessment
Time on Site Tracking

Categories and Features

Click Fraud

Account Alerts
Activity Monitoring
IP Address Monitoring
IP Blocking
Keyword Tracking
Refund Management
Risk Assessment
Time on Site Tracking

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Decision Support

Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

eCommerce

CRM
Catalog Management
Channel Management
Customer Accounts
Data Security
Email Marketing
Inventory Management
Kitting
Loyalty Program
Mobile Access
Multi-Store Management
Order Management
Product Configurator
Promotions Management
Returns Management
Reviews Management
SEO Management
Shopping Cart
Templates

Financial Risk Management

Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation

Fraud Detection

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Payment Processing

ACH Check Transactions
Bitcoin Compatible
Debit Card Support
Gift Card Management
Mobile Payments
Online Payments
POS Transactions
Receipt Printing
Recurring Billing
Signature Capture

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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