Swarm Intelligence

Spidex operates as a network of specialized AI agents, each designed to execute precise, automated DeFi operations. These agents collaborate, adapt, and optimize strategies without requiring constant user input.

Autonomous Agent Network

Each agent has a defined role and action space, allowing it to specialize in tasks like DEX aggregation, yield farming, lending optimization, and cross-chain arbitrage.

• Composable Workflows: Agents interact seamlessly, forming customized trading and investment strategies based on user-defined goals.

• Event-Triggered Actions: Agents execute trades, adjust portfolios, and react to market shifts in real time.

• Self-Optimizing Execution: AI-powered models adapt to changing conditions, improving decision-making over time.

Objective-Driven Automation

Users can set high-level objectives, and Spidex handles execution:

• "DCA 100 $USDM on $ADA each day."

• "Auto-hedge portfolio risk when volatility spikes."

The natural language interface allows continuous adjustments, ensuring agents always align with market dynamics and user intent.

Smart Action Space & Execution Engine

Once an objective is set, the Spidex Orchestrator scans the action space, identifying the most effective tools and protocols.

For example, an agent optimizing DEX trading efficiency might:

• Scan liquidity pools and order books across multiple chains

• Execute split-route trades to minimize slippage

• Auto-stake idle assets for passive earnings

• Rebalance holdings based on on-chain signals

Task Scheduling & On-Chain Coordination

Spidex agents can run continuously or on-demand, ensuring optimal execution without user micromanagement.

• High-Frequency Trading: Bots react instantly to price changes, executing limit orders and arbitrage.

• Scheduled Strategies: Periodic portfolio balancing and lending optimizations.

• Persistent Memory & Learning: Agents improve with experience, leveraging historical data and real-time insights.