Nakal

Demo

About

## Overview This project builds an **ASI-sponsored AI copy trader** that lets users copy trades of any public on-chain wallet with agentic intelligence and seamless execution. The system **starts from the ASI One chat protocol**, and all agents are registered and accessible via **Agentverse**. ## How It Works 1. **Start in ASI One Chat**: User interacts with the system through the ASI One protocol. 2. **Input Wallet**: User pastes a public wallet address. 3. **Data Fetch**: Wallet history & PnL fetched via **1inch Portfolio & PnL APIs**. 4. **Agent Analysis** (accessible via Agentverse): - **Meme-Coin Agent**: Suggests high-risk/high-reward plays. - **Blue-Chip Agent**: Focuses on safer, large-cap tokens. - **Consensus Agent**: Ranks suggestions & explains rationale. 5. **User Decision**: User selects tokens, sets USD amount. 6. **Execution**: - **1inch APIs**: Provide quotes, optimal swap routes, and execute trades on-chain. - **Polygon x402**: Handles **agentic payments**—funds flow securely between users and agents, or between agents, to complete swaps and deposit results into user wallets. ## Key Features - **Agentic Analysis**: Multiple specialized AI agents debate & rank trade ideas, all accessible through Agentverse. - **Cross-Chain Ready**: Supports swaps on Polygon with seamless fund routing. - **Non-Custodial Option**: Users can sign transactions directly for safety. - **Full Transparency**: Audit logs, risk scores, and transaction receipts. ## Tech Stack - **Frontend**: **ASI One LLM** (via Agentverse), integrating multiple agents for dynamic reasoning and trade suggestions. - **Backend**: Python & Node.js for orchestration, **1inch APIs** for trade data & swap generation, **Polygon x402** for agentic payment execution. ## Why We Chose These - **ASI**: Powers agentic reasoning; all agents are registered on Agentverse and can analyze wallet data, debate strategies, and provide actionable suggestions. - **1inch APIs**: Reliable and efficient on-chain trade execution, quotes, and portfolio/PnL data. - **Polygon x402**: Provides a secure, fast, and low-fee **agentic payment layer** for human-to-agent and agent-to-agent fund flows. ## User Flow 1. Start in ASI One Chat → Paste wallet → Analyze → Get suggestions → Pick trade → Execute via 1inch + Polygon x402 → Funds in wallet.

How it's made

## How It's Made This project combines **multi-agent reasoning, on-chain data fetching, and automated trade execution** into a seamless workflow. ### Technical Architecture 1. **Frontend & Agent Interaction** - **ASI One LLM** serves as the entry point; all agents are accessible via **Agentverse**. - Agents communicate through structured JSON messages that encode trade suggestions, risk scores, and reasoning steps. 2. **Agents & Orchestration** - **Wallet-Ingest Agent**: Uses **1inch Portfolio & PnL APIs** to fetch historical trades, normalizes timestamps, token decimals, and computes derived metrics (ROI, average holding, slippage). - **Meme-Coin & Blue-Chip Agents**: Implement custom scoring heuristics for volatility, liquidity, and market cap; outputs ranked suggestions with rationale. - **Consensus Agent**: Aggregates suggestions using weighted scoring based on risk and historical accuracy. - **Execution Agent**: Converts suggestions into **1inch calldata**, verifies balances and allowances, and prepares transactions for **Polygon x402** routing. 3. **Backend** - **Python** handles agent orchestration, data normalization, risk scoring, and LLM input/output preprocessing. - **Node.js** manages real-time websocket communication, 1inch API calls, and Polygon x402 integration for automated settlement. 4. **Automated Execution & Payments** - **1inch**: On-chain swap execution, optimal route selection, and price checks. - **Polygon x402**: Handles **agentic payments**; ensures funds flow between users and agents or between agents, managing approvals and settlements automatically. ### Notable Technical Aspects / Hacks - **Dynamic Agent Chaining**: Agents can call each other’s outputs in real-time to refine suggestions—enables “debate-style” reasoning. - **Calldata Auto-Generation**: Execution agent generates swap calldata programmatically based on LLM output without manual intervention. - **Risk-aware Execution**: Pre-execution sanity checks include liquidity thresholds, slippage limits, and multi-agent confidence scores. - **Hybrid Tech Stack**: Python for AI/data-heavy tasks, Node.js for real-time orchestration, all integrated seamlessly via APIs and WebSockets. - **Embedded Audit Trail**: Every agent suggestion and executed swap is logged with timestamp, wallet, calldata, and transaction hash for full traceability. This design enables a **real-time, agent-driven trading assistant** that bridges AI reasoning and on-chain execution while maintaining flexibility, safety, and transparency.