Know your AI system
is failing before
your users do.
AgentLens watches every real call your app makes to OpenAI, Anthropic, and Groq — and tells you the moment something breaks, why, and what to do about it.
Your AI app goes live. Something breaks. Customers notice first.
A support ticket comes in. You open five different tools, one at a time, hoping one of them has the answer.
AgentLens already knew — before the ticket was even filed.
From install to resolution, automatically.
Built for the moment things go wrong.
A dashboard that only shows what's real.
Illustrative data shown below — your dashboard renders your own real traffic, nothing simulated.
Every provider's dashboard tells you it's fine. We don't work for them.
Illustrative comparison — your dashboard shows real numbers from your own traffic.
From alert to fix, without the 20 minutes of digging.
What early users are saying.
“We found out about a provider degradation from AgentLens before a single customer complained. That's the whole pitch, and it delivered.”
“The investigation prompt alone saves our on-call engineer real time. It's already got the context assembled before they open their laptop.”
“Switching providers used to be a guess. Now it's a number we can actually trust, from our own traffic.”
Simple, while we're early.
The SDKs are open. So is the reasoning behind every alert.
No hosted LLM behind incident explanations, no black-box scoring — every recommendation traces back to real telemetry you can inspect yourself.
Don't wait for customers to tell you your AI is broken.
One line of code. Real alerts within minutes. No dashboard required to get the value.