Social Sentiment Analysis

Powered by SingularityNET

To better anticipate market movements, we integrate Natural Language Processing (NLP) services from SingularityNET, enabling us to perform real-time sentiment analysis on both on-chain and off-chain data sources.

Use Cases:

• Detect shifts in trader sentiment on social media platforms like Twitter, Discord, and Reddit.

• Adjust token volatility risk scores and strategy allocation in real-time.

• Track trending topics and identify early-stage narratives or hype cycles.

How It Works: Our backend fetches text data through APIs (e.g., Twitter, crypto news) → Sent to SingularityNET's AI API for classification → Result feeds into on-chain strategy contracts on Monad.

SingularityNET

SingularityNET is a decentralized platform that enables developers to create, share, and monetize AI services at scale

By integrating SingularityNET's AI services into your DeFi project on Monad, you can:​

• Enhance Decision-Making: Utilize NLP services to analyze market sentiment and inform trading strategies.

• Automate Operations: Deploy AI agents to manage tasks such as yield optimization and risk assessment.

• Improve User Experience: Incorporate AI-driven features like personalized recommendations and fraud detection.​