AGENFI WHITEPAPER
  • 🌌1. Introduction
    • The State of DeFi Today
    • The Need for AI-Driven Infrastructure
    • What Is AgenFi?
  • 🌌2. Core Platform Components
    • Trading Scanner & Market Analytics
    • AI Portfolio Management
    • Whale Tracking & Social Sentiment Tools
    • Real-Time Signal System
  • 🌌3. AI Architecture & Intelligence Layer
    • Modular AI Agent Design
    • Pattern Recognition & Risk Engines
    • Signal Fusion Across Market + Social + On-Chain Data
    • Agent Personalization & Learning Loops
  • 🌌4. Security & Trust
    • Smart Contract Risk Assessment
    • Secure Transaction Handling
    • Data Integrity & Transparency
    • Privacy-Respecting AI Layers
  • 🌌5. Roadmap & Upcoming Features
    • Token Swap Module
    • PNL Tracker
    • Smart AI Notifications
    • Execution Agent (Auto-Trading)
    • Chain Expansion & SDK/API
  • 📊6.TOKENOMICS OVERVIEW
    • $AFAI TOKEN LAUNCH
    • $AFAI TOKENOMICS
    • $AFAI TOKEN ALLOCATION
  • 🔗OFFICIAL LINKS
    • WEBSITE
    • TWITTER / X
    • AGENFI DAPP
    • TELEGRAM
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  1. 4. Security & Trust

Smart Contract Risk Assessment

PreviousAgent Personalization & Learning LoopsNextSecure Transaction Handling

Last updated 6 days ago

DeFi is powered by smart contracts — and vulnerable to them. From rug pulls to logic exploits, contract-level threats can result in massive user losses. That’s why AGENFI integrates an AI-powered Smart Contract Risk Assessment Engine that continuously analyzes contracts to detect red flags, technical flaws, and malicious behavior.

🧠 How It Works

AGENFI uses a combination of AI auditing, behavioral analysis, and threat pattern recognition to automatically assess smart contracts before and after deployment.

Key Functions:

  • 🕵️‍♂️ Code Pattern Scanning: Detects dangerous logic (e.g., hidden owner functions, unlimited minting, backdoors)

  • 🧬 Behavioral Simulation: Emulates how a contract behaves with various inputs

  • ⚠️ Risk Scoring System: Assigns contracts a dynamic risk rating (Low / Moderate / High / Critical)

  • 🔗 On-Chain History Review: Monitors frequency and size of suspicious interactions or exploit patterns

Example: A new token launches with hype. AGENFI detects that its contract allows instant trading disablement by a single wallet — flagged as “High Risk”.

🔎 Types of Risks Detected

Risk Type
Description

🧨 Rug Pull Triggers

Liquidity withdrawal, trading halt, mint-to-drain logic

👑 Privileged Access

Hidden owner or admin functions

🔁 Reentrancy/Loop Risks

Known vulnerability vectors from prior DeFi exploits

🧬 Code Obfuscation

Deliberate complexity to hide malicious behavior

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