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registry / software / traceloop
Traceloop
Traceloop is an LLM observability platform that automatically monitors the quality of LLM outputs, helping teams debug, test, and ship LLM applications faster. It turns evals and monitors into a continuous feedback loop so every release gets better.
47
DISCOVER73
UNDERSTAND23
ADOPT45
OPERATE47
OverviewGET /v1/profile/traceloop
Overall
47
Discover
73
Understand
23
Adopt
45
Operate
47
16/38 applicable signals pass. Open the Capabilities tab for the full signal breakdown, or Issues for the highest-impact gaps.
Agent compatibility
Claude Code✓ TESTED
Codex✓ TESTED
Cursor✓ TESTED
Installed the published MCP server and ran a call end to end.
Score history+8 · 12mo
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Badge
agentready47/100
<a href="https://stackresolve.dev/registry/traceloop"><img src="https://api.stackresolve.dev/badge/traceloop.svg" alt="AgentReady score" /></a>
Frequently asked about Traceloop
What is Traceloop's AgentReady score?
Traceloop scores 47/100 on the AgentReady: discovery 73, understanding 23, adoption 45, operability 47. The score rates how ready Traceloop is for an AI agent to use without a human.
Does Traceloop have an MCP server?
Yes. Traceloop publishes an MCP server, so an AI agent can connect to it over the Model Context Protocol.
Does Traceloop have a free tier?
Yes, Traceloop has a free tier you can start on without a sales call.
Is Traceloop good for AI agents?
Traceloop is partially ready for AI agents, with an AgentReady of 47/100. It is strongest on discovery.