Trenchrecon AI
  • Welcome
  • Getting Started
    • Quickstart
      • 1.1 Activating Your Membership
      • 1.2 Accessing the Telegram Bot
      • 1.3 Logging into the Web App
  • Core Features
    • Quick Risk Analysis
    • Top Holders Analysis
    • Pumpfun Recently Graduated Tokens
    • Liquidity Details
    • Deployer Sybil Analysis
    • Online Presence Snapshot
    • In-Depth Token Analysis
  • Twitter Sentiment Analysis
  • Using the AI Agent
    • Natural Language Interaction
    • Suggested Queries for Beginners
    • Advanced Query Examples
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  1. Core Features

Deployer Sybil Analysis

Examine the deployer’s wallet (token creator) for potential red flags, such as recent creation, suspicious activity, or high-risk behaviors. This analysis helps gauge the trustworthiness of the project’s originator.

How to Use: Request, “Run a sybil analysis on the deployer of [contract address].”

Example Output:

🔍 Deployer Sybil Report
Deployer: EQfgie...9RoY
Risk Level: 🟢 Low Risk
Balance: 0.2153 SOL

⚠️ Identified Issue
- Insufficient Wallet Age: The wallet is relatively new. 
  This might indicate that the address was recently created 
  and lacks substantial history to fully verify its trustworthiness.

📉 Activity Summary
- Total Transactions: 7
- Automated Trading: No
- Buy/Sell Taxes: None detected

🛑 High and Medium Risks
- None detected.

🗓️ Timeline
- First Transaction: April 12, 2025

While the risk level here is low, the account's recent creation is something
to keep in mind. If any unusual activities relating to this deployer arise, 
close monitoring is recommended.

Interpreting Risk Scores

  • 🟢 Low Risk (0-3): Generally safer, but monitor for emerging issues.

  • 🟡 Medium Risk (3-6): Proceed with caution; check ownership and volatility.

  • 🔴 High Risk (6-10): Avoid or use strict risk management (e.g., stop-loss orders).

  • Key Factors: High scores often stem from centralization, unverified contracts, or negative sentiment.

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Last updated 1 month ago