Tool profile
An open-source LLM observability platform with a free hobby tier and paid plans for growing AI products.
LLM monitoring
Helicone is an observability layer for teams shipping LLM features and wanting to see what is actually happening in production. It focuses on requests, latency, usage, cost, prompts, and model behavior so teams can debug and optimize AI traffic without building a custom monitoring stack first.
That makes it much more of an engineering operations product than an agent builder. Helicone is useful once AI requests are real enough that failures, cost spikes, and prompt quality need instrumentation instead of guesswork.
Quick fit
Editorial take
Helicone should be judged on operational usefulness. If your team is shipping enough AI traffic that prompt quality, cost, latency, and debugging matter every week, it becomes much more valuable than it looks in a superficial feature list.
What it does well
Primary use cases
Fit notes
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Pricing snapshot
Helicone has a free Hobby plan with 10,000 free requests. Paid plans start around $79/month, scale to about $799/month, and both paid tiers promote a 7-day free trial.
AgentOps
Free planAgent observability
Observability for AI agents with tracing, debugging, session visibility, and production monitoring.
Closer to agent observability than to model hosting or prompt tooling
