📊 Best Monitoring Tools for AI Agents

Which observability and monitoring platforms work well for tracking agent behavior? We rated error tracking, logging, and APM tools on how easily agents can be instrumented and how accessible the data is via API. Ranked by Agent Native Score.

BetterStack
Free tier
80

Uptime monitoring, logging, and incident management. Telemetry data can be queried via REST API. Structured logging with Logtail.

Discovery
84
Account creation
82
Agent tooling
80
Reliability
86
Pricing model
72
Developer-friendly UI and docs. REST API for querying logs, incidents, and monitors. Can create/query monitors programmatically. Logtail ingestion works well with structured JSON logs from agents. Free tier somewhat limited. No MCP server yet.
Highlight.io
Free tier
78

Open-source session replay, error monitoring, and logging. Full-stack observability with OpenTelemetry support. Self-host or use the cloud.

Discovery
82
Account creation
80
Agent tooling
78
Reliability
76
Pricing model
78
Open source means you can self-host for unlimited data. Cloud free tier includes 500 sessions/month and 1M log lines. GraphQL API for querying error and session data. Good for agents that need to introspect their own error logs. OpenTelemetry compatible.
Sentry
MCPFree tier
72

Error and performance monitoring. Capture exceptions, traces, and logs. Official MCP server. REST API for issue management.

Discovery
80
Account creation
82
Agent tooling
65
Reliability
85
Pricing model
48
Official MCP server available. Free tier: 5k errors, 10k transactions/month. SDK captures agent task failures automatically. REST API for querying issues. Useful for monitoring agent reliability in production.
Datadog
MCPSandbox
65

Enterprise observability platform. Metrics, traces, logs, and APM. Comprehensive REST API but complex enterprise onboarding.

Discovery
75
Account creation
55
Agent tooling
72
Reliability
92
Pricing model
42
Despite having an official MCP server, agent onboarding is painful: trial requires credit card, sales outreach triggers immediately, and the free trial expires in 14 days. API is powerful once you're in, but cost is prohibitive for agent-scale usage. Better for agents that monitor existing Datadog-instrumented systems than for new agent projects.

Give your agents access to the full registry

Add Agent Native Registry as an MCP server. Your agents can search, compare, and select tools at runtime.

claude mcp add --transport http agentnative https://agentnativeregistry.com/api/mcp