Behavioural Prediction

The Behavioural Prediction MCP Server provides AI-powered tools to analyze wallet behavior, assess risk, detect fraud, and anticipate rug-pull events. You can access these capabilities through MCP-compatible clients by supplying authentication and targeting a specific blockchain network and wallet or contract address. This enables proactive risk scoring, safer DeFi interactions, and smarter investment decisions.

How to use

You can use any MCP client to access the Behavioural Prediction tools by calling the available endpoints with your API key, targeting a blockchain network, and providing the wallet or contract address you want to evaluate. The primary tools support three core capabilities: Fraud prediction for individual wallets, behavior forecasting for intended actions, and rug‑pull risk assessment for DeFi contracts and pools.

How to install

Prerequisites: Node.js or Python installed on your system.

Install the MCP client package in your project.

Run a quick test against the MCP server using a sample script that includes your API key, a target network, and a wallet address.

Additional notes

This server requires an API key for production usage. Real-time responses are provided via Server-Sent Events (SSE) to enable continuous updates without repeated polling. Ensure you respect rate limits and handle errors such as invalid API keys or malformed requests.

Example configuration snippets and client usage are provided to help you integrate quickly. Review the exact endpoints and input/output structures for each tool to adapt responses into your application logic.

Available tools

predictive_fraud

Forecast the likelihood of fraudulent activity for a given wallet and perform AML/Anti‑Money‑Laundering checks with a structured JSON output.

predictive_behaviour

Project a wallet's likely next actions, profile risk tolerance, and provide personalized recommendations based on past on-chain history.

predictive_rug_pull

Predict which liquidity pools or contracts may rug-pull in the future to warn users before depositing.