Key features
Core capabilities each platform advertises.
- Agent failure root cause analysis
- Tool selection monitoring
- Cost budget tracking
- Production agent observability
- Real-time alerting
Data not available
Updated March 27, 2026
Datadog for agent reliability — monitors AI agents in production, surfacing root causes when agents fail, pick wrong tools, or exceed cost budgets.
Sentry provides runtime error monitoring and performance observability for AI applications. Its LLM monitoring capabilities track model calls, token usage, and latency alongside traditional error tracking. Sentry helps teams catch and debug issues in production AI pipelines with detailed stack traces and context.
Core capabilities each platform advertises.
What each tool does well, and the limitations to keep in mind.
Pros
Cons
Pros
Cons
Choose Sentrial if you wantChoose if you want
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Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 500+ models through one gateway.
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