Scout Trails
See what your AI coding agents are actually doing.
AI agents are becoming part of the engineering team. Scout Trails gives you visibility into how they work. See every session, tool call, and dollar spent across your team, all in one place.
Works with Claude Code, and other OpenTelemetry-compatible agents.
Why it matters
Your agents are working. Now you can see the work.
A developer closes their terminal and the context disappears with it.
Scout Trails gives engineering teams a shared view of agent activity across developers, repositories, and sessions.
Understand adoption
See how AI agents are being used across your engineering team.
Investigate sessions
Drill into individual sessions and see the tools and actions behind them.
Track usage and cost
Understand where tokens and dollars are going as agent adoption grows.
Spot patterns
See which workflows, tools, and agents are actually becoming part of development.
Individual visibility doesn't scale to team visibility.
As AI coding agents become part of everyday development, engineering leaders need more than individual terminal histories.
Scout brings agent activity into one place so you can see how agents are being used across your team, without asking every developer to reconstruct what their agent did.
And because token spend adds up fast, Scout shows you where it's going before a surprise shows up on the invoice.
Every session. Every tool call. Every dollar. One view.
Get Started
Five environment variables. That's it.
No downloaded binary. No wrapper process.
Point your existing AI coding agent at Scout's hosted ingest service by configuration alone, and start sending agent telemetry over OpenTelemetry.
The bigger picture
Your AI knows the code. Scout knows production.
AI coding agents are getting better at understanding your codebase. But code alone can't tell them what actually happened in production.
Scout already can.
Production traces show what a request actually did. Performance history shows whether behavior is new, recurring, or getting worse. Scout's MCP integration makes that context available inside the AI tools developers already use.
Scout Trails extends that visibility to the other side of the development loop.
One system. Both sides of AI development.
Understand the agent
See the sessions, tools, usage, and cost behind AI-assisted development.
Understand production
Give AI access to real application performance, traces, and historical context.
Close the loop
Move from "what did the agent do?" to "what did the code do in production?" without asking AI to guess.