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Manage AI agents centrally and analyze performance, usage, and operational insights.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Observal" yet — see the docs or source repo.
Based on our AI agent information, create a unified registry including agent name, purpose, owner, deployment environment, and current status, and identify any missing fields.
A structured agent registry plus a checklist of missing information.
Summarize the last 30 days of AI agent activity by call volume, success rate, average response time, and error trends, and flag the three worst-performing agents.
An agent analytics report with key metrics, trend insights, and highlighted risk cases.
Design a monitoring dashboard for our AI agent platform covering registry status, activity, failure rate, latency, and owner views, and provide alerting recommendations.
A monitoring dashboard proposal with metric groups, display dimensions, and alert rules.
Set up a local registry and analytics hub for AI components.
Observe analytics, errors, deploys, and automation for coding agents.
Monitor AI agent production traces, surface insights, and drive improvement loops.
Add persistent memory, observability, and audit trails to AI agents.
Monitor multi-agent workflows with live calls, sessions, and usage observability.
Access live experiment data and crawler observation endpoints from Agent Observatory.