Proprietary tech that is designed with AI to spot rugs, known scammers and bundles.  Trade freely without the risk of being rug pulled 99% of the time. 

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Abstract

The cryptocurrency market has faced significant challenges in building trust due to the proliferation of scam projects, rug pulls, and malicious actors. GuardAI Coin (GAC) introduces a decentralized AI-powered ecosystem designed to protect communities by identifying and filtering out fraudulent tokens. By leveraging advanced machine learning and natural language processing, GuardAI will analyze blockchain data, smart contracts, and market behavior to flag potential risks and foster safer investment environments.

 

Introduction

 

The Problem

• Scam Coins and Rug Pulls: Over $3 billion was lost to crypto scams in 2024, eroding investor trust.

• Lack of Transparency: Many projects lack verifiable credentials, audits, or clarity on tokenomics.

• Market Complexity: New investors often struggle to identify legitimate opportunities amidst a sea of fake projects.

 

The Solution

GuardAI is an AI-driven crypto guardian, deployed as a network of intelligent agents that:

• Analyze smart contracts for malicious code.

• Monitor wallet activity for signs of pump-and-dump schemes.

• Score tokens based on legitimacy, transparency, and community feedback.

• Provide real-time alerts and recommendations to users via a decentralized app (dApp).

 

Key Features

1. AI-Powered Scam Detection

   • Smart Contract Auditing: Identifies hidden functions, such as owner-only withdrawals or token minting loopholes.

   • Behavioral Analysis: Tracks wallet activity to detect suspicious patterns like token dumps or liquidity withdrawal.

2. GuardAI Risk Score (GRS)

   • Tokens are scored on a scale from 0 to 100 based on factors such as:

     • Contract security

     • Team transparency

     • Tokenomics integrity

     • Community sentiment

   • Scores are publicly accessible and updated dynamically.

3. Community-Driven Insights

   • Users can report suspicious projects, which are prioritized for AI analysis.

   • Verified reports influence risk scores and are rewarded with GAC tokens.

4. GuardAI dApp

   • Real-time alerts on scam tokens and flagged projects.

   • Portfolio scanning for risky assets.

   • Education resources for identifying fraudulent projects.

5. Decentralized AI Agents

   • Distributed AI nodes ensure transparency and reduce single points of failure.

   • Open-source algorithms encourage collaboration and continuous improvement.

 

Tokenomics

 

Token Utility

GuardAI Coin (GAC) serves as the backbone of the ecosystem:

• Access to Premium Features: Enhanced GRS insights, portfolio protection tools, and advanced AI analytics.

• Staking Rewards: Users can stake GAC to support network operations and earn rewards.

• Community Contributions: Report verified scams or contribute to AI training datasets for token rewards.

• Governance: GAC holders vote on updates, new features, and ecosystem direction.

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Supply Details

• Total Supply: 1,000,000,000 GAC

• Distribution:

  • 40%: Community and rewards

  • 20%: Team and development (vested over 3 years)

  • 15%: Liquidity pool

  • 15%: Marketing and partnerships

  • 10%: Reserve for future expansion

 

Technical Architecture

1. AI Framework

   • Machine Learning Models: Trained on historical scam data to recognize patterns.

   • Natural Language Processing: Analyzes project websites, whitepapers, and social media for red flags.

   • Blockchain Monitoring: Continuously scans blockchain data for anomalies in token behavior.

2. Decentralized AI Nodes

   • Nodes run AI algorithms and validate data collectively.

   • Incentivized via GAC staking, ensuring a robust and secure network.

3. Integration

   • APIs enable wallets, exchanges, and third-party apps to integrate GuardAI’s risk detection tools.

 

Roadmap

 

Phase 1: Development and Launch (Q1–Q3 2025)

• Build core AI models and smart contract auditing tools.

• Launch GuardAI dApp MVP with basic scam detection.

• Distribute GAC via token sale and airdrops.

 

Phase 2: Expansion and Community Engagement (Q4 2025–Q2 2026)

• Expand AI dataset and refine detection algorithms.

• Establish partnerships with exchanges and wallet providers.

• Launch staking and community rewards programs.

 

Phase 3: Ecosystem Growth (Q3 2026–2027)

• Introduce cross-chain support for detecting scams on multiple blockchains.

• Launch premium features and subscription services.

• Scale decentralized AI nodes and governance.

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