Token Narrative Agent 🏛
What It Does
The Token Narrative Agent extracts AI-ready insights from Ethereum-based ERC20 tokens, analyzing on-chain financial data, news sentiment, and token activity.
Key Features
✅ Real-time liquidity tracking – Detect inflows & outflows
✅ Token sentiment analysis – Analyze social & news trends
✅ On-chain monitoring – Monitor active wallets & transactions
🔧 Configuring the Token Narrative Agent
Before deploying, customize how your Data Agent processes and structures AI-ready data.
1️⃣ Insights (Select the Data You Need)
| Category | Insights Available |
|---|---|
| Liquidity | Volume inflow, outflow, buy-to-sell ratio |
| Price | Volatility, price trends, moving averages |
| On-Chain | Token transfers, active wallets |
| Sentiment | AI-driven news & social media analysis |
2️⃣ Preferences (Sorting & Filtering)
- Sort insights by importance (weighting system).
- Adjust memory & data history (e.g., last 3 hours, last 12 hours).
- Filter out tokens with low liquidity or unusual transaction patterns.
🛠 Deploying the Token Narrative Agent
- Finalize Your Configuration – Ensure selected insights and filters are correct.
- Simulate & Validate – Run test simulations to preview structured AI-ready data.
- Deploy – Launch your Data Agent on Heisenberg’s decentralized compute network.
⚙️ Integrating with AI Agents
The Token Narrative Agent seamlessly integrates into AI models for:
- Sentiment-driven AI trading (Eliza OS, Arc, Virtuals)
- Predictive analytics for token movements
- AI-powered risk assessment for DeFi platforms
📌 Integrate with Your AI Model →
💡 Contribute & Extend This Agent
Developers can contribute improvements to Token Narrative:
- Add new insights (e.g., NFT sentiment, DeFi lending metrics).
- Enhance data accuracy with AI-powered cleaning techniques.
- Optimize processing speed for real-time applications.
Ways to Contribute
- Fork the Repo & Submit PRs
- Submit Feature Requests
- Want a new feature? Log an issue on GitHub.