Today
Traces only engineering can see.
LangSmith-style traces live with engineering. Security and GRC never see whether a guardrail fired or what the agent spent.
- Engineering-only
- Cost unknown
- Guardrail hidden
- No GRC

Agent Observability
Watch what agents did, cost, and whether guardrails held.
Zenjin Agent Observability traces what agents do, what they cost, and whether guardrails held, then ties that runtime evidence to identity, evals, and compliance.
$0.041
Traces
Tools and outcomes
FinOps
Cost on the same run
Guardrails
Hits you can prove
Experiments
Compare behavior
Traces, cost, and guardrail hits live with identity and compliance. Security can see whether a control fired. Finance can see what the run spent.
Run-level timelines of tools, models, and outcomes.
What agents cost, not only whether they worked.
Compare agent behavior the way you compare models.
Configured controls with hits you can prove.

A debug trace is not evidence.
Today
LangSmith-style traces live with engineering. Security and GRC never see whether a guardrail fired or what the agent spent.

With Zenjin
Traces, FinOps, experiments, registered agents, and guardrails in the same control layer as identity and evidence.

Register the agent, trace the run, act when a guardrail fires.
01
Known agents and guardrail config, not mystery traffic.

02
Tool calls, outcomes, and cost on a timeline you can hand to audit.

03
See what was blocked, what burned budget, and what needs a policy change.

Those are engineering observability. Zenjin observability is governance-grade: identity, guardrails, and evidence, not only debug traces.
Registered agents and MCP-shaped tool calls are in scope. Guardrail hits are first-class events.
Cost on the same timeline as the run: tokens, tools, and whether a guardrail blocked work you still paid for.
Yes. Guardrail hits are events on the trace, not a log only the agent team reads.
Compare agent behavior the way you compare models: same task, different policy or model, with traces and cost attached.
No. It is runtime evidence for agents: identity, tools, guardrails, and cost in the control layer.