Meridian monitors every agent in production — latency, error rates, tool success, and cost per task. Anomaly alerts before your users notice. Automated reports that actually get read.
Every agent. Every metric. In one view. Latency, error rates, tool success, and task completion — updated continuously as agents run. No more flying blind.
Meridian learns your agents' normal behavior — then alerts you the instant something deviates. Cost spikes, latency regressions, error rate changes. Within seconds, not hours.
Token burn rate. Per-agent spend. Per-task cost. Budget alerts before you hit them. Meridian turns AI agent cost into a manageable, optimizable metric — not a mystery.
Daily and weekly reports delivered where your team works. Performance summaries, anomaly explanations, cost breakdowns — written, not pasted from a spreadsheet.
When an agent runs a complex workflow — reasoning, tool calls, sub-agents — Meridian captures the full trace. Pinpoint exactly where latency or failure originated. Debug faster.
A structured view of agent reliability, quality, and cost-effectiveness over time. Know which agents are performing well and which need attention — backed by data, not gut feel.
For the last two years, every team building AI agents has faced the same problem: they have no idea what is happening inside them once they ship. Agents cost money, fail silently, and drift from their original behavior. Dashboards don't help. Slack channels don't help. By the time the team finds out something is wrong, users have already noticed.
Meridian was built for the reality of 2026: AI agents are in production, they're handling real work, and they need the same operational discipline as any other software system. Not because agents are fragile — but because the cost of flying blind compounds fast.
Start with a single agent. Scale to as many as you run. Meridian grows with your agent infrastructure — not the other way around.