Agent Analytics provides analytics your AI agent can actually read. It consolidates data from all your projects into a single analytics hub, enabling AI agents to monitor dashboards, interpret signals, and act on insights without manual checking.

Key features include:

• Unified analytics hub: All your projects are connected to one hub, ensuring a consistent data model and reducing context switching so AI agents can reason over the full portfolio.
• AI-friendly dashboards: Dashboards are structured for machine readability with clear signals, concise summaries, and stable metrics that AI agents can interpret reliably.
• Automated insights and alerts: The platform surfaces anomalies, trends, and correlations across projects, enabling agents to trigger workflows or flag issues proactively.
• Seamless integration and onboarding: Quick setup with existing stacks and tools, designed to minimize configuration and friction when onboarding new projects.
• Scalable for growing portfolios: Handles increasing numbers of projects with fast response times, centralized governance, and consistent analytics across the entire portfolio.

By aligning analytics with AI agent workflows, Agent Analytics helps teams ship faster, reduce manual dashboard checks, and empower AI to monitor, learn from, and act on your software ecosystem in real time.