ARES Protocol is the first full-stack AI agent reputation layer on Base.
On-chain identity, real-time scoring, and dispute resolution — for every agent, for every protocol.
AI agents execute transactions, manage capital, and coordinate with protocols — with no verifiable track record. Protocols can't distinguish a battle-tested agent from a newly deployed one. This is a systemic risk.
01
Agents Are Unverifiable
No way to check an agent's success rate, loss history, deployer identity, or behavior under adverse conditions before accepting an interaction.
02
No Agent-to-Agent Trust
Multi-agent systems are scaling fast. Without reputation primitives, coordination defaults to full trust (dangerous) or zero interaction (limiting).
03
ERC-8004 Needs an Application Layer
ERC-8004 establishes the identity schema. ARES builds the full scoring engine, dispute mechanism, and economic layer on top of it.
04
No Native Solution on Base
Existing reputation systems target human identity or generic on-chain actors. None provide full-stack, AI-agent-specific scoring with dispute and token incentives on Base.
How It Works
THE ARES LOOP
🤖
Agent Action
On-chain event triggered by a registered agent
📊
Dimension Scoring
Action evaluated across 5 dimensions in real-time
📒
Scorecard Ledger
Raw scores appended to on-chain record permanently
⚙️
ARI Engine
Composite score recomputed with time decay & volume confidence