Item logo image for FRED: Fraud Recognition & Easy Detection

FRED: Fraud Recognition & Easy Detection

5.0(

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ExtensionTools5 users
Item media 1 (screenshot) for FRED: Fraud Recognition & Easy Detection

Overview

Analyzes emails and text for potential fraud using OpenAI or built-in pattern matching when offline.

# FRED: Fraud Recognition & Easy Detection Protect yourself from suspicious emails and potential scams with FRED, your AI-powered fraud detection assistant. FRED helps you: • Analyze emails for deceptive tactics and suspicious patterns • Check any text for common fraud indicators • Get detailed explanations of detected threats • Understand risk levels with an easy 1-10 threat rating system ✓ Privacy-focused: We don't store your data, sent directly to OpenAI for quick analysis ✓ No subscriptions: Use your own OpenAI API key ✓ Seamless Gmail integration: Analyze emails with one click ✓ Open source: All the code is available to view. Perfect for anyone who wants an extra layer of protection against phishing attempts, scams, and fraudulent communications. FRED - because everyone deserves a friendly fraud detective in their corner!

Details

  • Version
    1.2.1
  • Updated
    July 26, 2025
  • Offered by
    Skylar Bolton
  • Size
    209KiB
  • Languages
    English
  • Developer
    Email
    info@skyfoxstudios.com
  • Non-trader
    This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

Privacy

The developer has disclosed that it will not collect or use your data. To learn more, see the developer’s privacy policy.

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes

Support

For help with questions, suggestions, or problems, please open this page on your desktop browser

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