Build AI Agent with Real-Time Solana Wallet Intelligence

Enable AI agents to access Solana wallet taxonomy, trading analytics, and fraud detection

Updated: 5/29/2026
Difficulty
hard
Time
4-8 hours
Use Case
Building AI agents that can analyze Solana wallets, detect trading patterns, identify fraud, and provide intelligent trading insights
Popularity
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About this automation

Integrate the Conyr MCP Server (built in Rust) to give AI agents native access to real-time Solana intelligence including wallet taxonomy, PnL calculations, bundle/sybil detection, and provenance trails

How to implement

1

Set up Conyr MCP Server

2

Connect to Solana RPC

3

Implement wallet taxonomy queries

4

Add fraud detection logic

5

Integrate with AI agent framework

6

Test with live wallet data