From Chatbots to Economic Agents: Autonomous Treasury Management on Base

Description and use

An autonomous treasury on Base L2 performs daily rebalancing without human intervention, overcoming high gas costs and fragile execution logic, showcasing a real economic agent.

Problem

AI agents fail to autonomously manage treasury on Ethereum L1 due to high gas costs and fragile execution logic.

Outcome

The Base‑based treasury executes daily rebalancing autonomously, avoiding high L1 gas costs and fragile logic, and demonstrates a real economic agent.

Workflow

• 1. LLM reads volatility, sentiment, and yield metrics and outputs a JSON intent for asset allocation.
• 2. Policy engine validates intent against static risk limits (e.g., 5% portfolio deviation, 30 bps slippage, liquidity ratio).
• 3. Settlement layer executes swaps via a Base DEX router, using a circuit‑breaker‑protected Python script that checks gas price and slippage before signing and sending the transaction.
• 4. The script signs the transaction with the treasury private key and broadcasts it to Base.
• 5. The treasury wallet audits its own portfolio and repeats the loop daily.

Evidence

Mayoritas eksperimen "AI Agent" mati karena biaya gas atau logika eksekusi yang rapuh.

Source

Base (Chain ID 8453) memecahkan kebuntuan kalkulasi ini. Dengan latensi sequencer 2 detik dan overhead gas sub-sen—berkat kompresi blob EIP-4844—settlement on-chain akhirnya cukup murah untuk dijalankan oleh loop komputasi otonom.

Source

Pemisahan tanggung jawab harus mutlak: Inference Layer (Off-Chain), Policy Engine (Deterministik), Settlement Layer (On-Chain).

Source

State Desynchronization: Node RPC publik sering tertinggal 1-2 blok di belakang state sequencer. Saat agen membaca balance lama lalu mengirim transaksi, nonce tabrakan.

Source