Key features
Core capabilities each platform advertises.
- Hallucination detection
- Tool-call failure monitoring
- Prompt injection detection
- User frustration signals
- Actionable trace analysis
Data not available
Updated March 27, 2026
Turns agent conversations and tool traces into actionable signals — detects hallucinations, tool-call failures, prompt injections, and user frustration.
Respan provides comprehensive LLM observability with real-time monitoring, tracing, and debugging for AI applications in production. It tracks prompts, completions, latency, cost, and quality metrics across all LLM providers, with built-in evaluation tools, prompt management, and alerting. Respan gives engineering teams full visibility into their AI stack from a single dashboard.
Core capabilities each platform advertises.
What each tool does well, and the limitations to keep in mind.
Pros
Cons
Pros
Cons
Choose Moda if you wantChoose if you want
Choose Respan if you wantChoose if you want
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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