What is Agent Reputation?
Agent reputation is a quantifiable measure of an AI agent's trustworthiness and reliability, based on its history of behavior — including transaction success rates, policy compliance, uptime, and quality of service delivery.
WHY IT MATTERS
In an economy where agents transact autonomously, how do you know which agents to trust? Agent reputation provides a track record. An agent that has executed 10,000 transactions without a policy violation over 6 months is more trustworthy than one deployed yesterday.
Reputation can be on-chain (transaction history, attestations, SBTs) or off-chain (ratings, reviews, audit results). On-chain reputation is tamper-resistant and verifiable; off-chain reputation is richer but requires trust in the rating system.
Reputation influences policy decisions. A high-reputation agent might get higher spending limits or access to premium services. A new or low-reputation agent starts with tight restrictions that relax as it builds a track record.
HOW POLICYLAYER USES THIS
PolicyLayer's spending history contributes to agent reputation scoring — providing verifiable data on policy compliance, transaction volumes, and spending patterns. This reputation data can inform dynamic policy adjustments and inter-agent trust decisions.