The Agent Ledger is the permanent record of every AI agent in your fleet. Track 12 performance metrics per agent, see how trust scores evolve over time, monitor decision accuracy down to individual actions, and benchmark agents against each other. When you need to know if an agent is ready for more autonomy, or needs to be reined in, the ledger has the answer.
Each agent in your fleet is evaluated across 12 standardized metrics: decision accuracy, response latency, false positive rate, false negative rate, remediation success rate, cost per action, human override frequency, context quality score, escalation accuracy, SLA compliance, uptime, and task throughput. No single metric tells the whole story, the Agent Ledger shows you the complete picture.
Trust isn't a static number. The Agent Ledger tracks how each agent's trust score evolves day by day, showing the impact of every correct decision, every false alarm, and every human override. You'll see trust climb as agents prove themselves on low-risk tasks, and you'll catch trust erosion early, before a degraded agent makes a costly mistake on a critical system.
When you have 100 agents, you need to know which ones are leading and which are lagging. The Agent Ledger lets you compare any two agents side by side across all 12 metrics, or benchmark any agent against the team average or fleet-wide baseline. Use benchmarking data to identify best practices from top performers and apply them to underperforming agents.
See how the Agent Ledger tracks 12 performance metrics, trust score evolution, and peer benchmarking for your entire AI fleet.