AgentBeat is a production monitoring platform designed for engineers deploying AI agents and automated workflows. The service focuses on providing visibility into agent performance by alerting users when agents fail, exceed cost budgets, or stop running as expected. It aims to help teams maintain reliability and control costs in their AI operations.
The platform offers several core features. Heartbeat monitoring allows agents to ping AgentBeat on every run, with instant alerts if an agent goes silent. Cost tracking enables users to monitor large language model (LLM) spend per agent and per run, set budgets, and receive notifications before budgets are exceeded. Failure detection tracks agent reliability, opening incidents automatically if patterns such as three failures in five runs are detected. Multi-step workflow tracking is also supported, letting users pinpoint exactly where a multi-step agent pipeline failed. Alerts can be delivered through multiple channels, including email, Telegram, Slack, and webhooks, ensuring timely notification of critical issues.
AgentBeat is accessible via a Python SDK, which offers context manager support for seamless integration, or through a simple HTTP API that can be used from any programming language. This allows for flexible integration into various agent architectures and codebases. The service advertises setup in under five minutes, making it suitable for rapid deployment.
The platform offers tiered pricing plans. A free tier is available for side projects and solo developers, supporting up to three agents, unlimited runs, email alerts, and seven-day data retention. The Pro plan, priced at $49 per month, supports up to ten agents, cost tracking and budgets, alerts via Telegram, Slack, and webhooks, 30-day retention, and up to three team members. The Team plan, at $149 per month, extends support to fifty agents, advanced analytics, all alert channels, 90-day retention, up to ten team members, and priority support. No credit card is required to start, and users can begin monitoring their agents immediately after setup.
In the LLM eval & observability space, AgentBeat takes a focused approach. Monitoring, alerting, and cost tracking for AI agent workflows in production environments. AgentBeat is a B2B product aimed at AI operations teams. AgentBeat follows a freemium model. AgentBeat is available on the web, the command line, and API.
AgentBeat first shipped in 2026. Across PulseGate's embedding index, AgentBeat has few near neighbours, marking it as relatively distinct. Among its 6 catalogued features are heartbeat monitoring, cost tracking, and failure detection. It exposes integrations via a public API. AgentBeat is currently in beta.
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