Every run traced, scored, and costed
You cannot operate an AI workforce you cannot measure. AgentLabz instruments the whole agent loop, from the first token to the final tool call.
Latency
1.24s
-8%
p50 end-to-end response
Token Usage
18.4M
+4%
Rolling 30 days
Tool Calls
62,180
+11%
Successful invocations
Success Rate
96.2%
+1.4
Runs completed without error
Escalation Rate
12.7%
-2.1
Handed to a human
Cost
$0.031
-14%
Per resolved conversation
Cache Hit Rate
74%
+6
Prompt and KV cache reuse
Grounding Flags
0.7%
-0.3
Responses flagged by grounding checks
Avg Resolution Time
3m 12s
-19%
Open to resolved
Topic Clusters
142
+9
Auto-clustered conversation intents
app.agentlabz.tech / analytics
Resolution rate
96.2%
Cost / resolution
$0.031
p50 latency
1.24s
Token usage by agent · 30 days
app.agentlabz.tech / conversations
#48219 · Support Agent
Duration 2m 40s
#48218 · Voice Agent
Duration 5m 02s
#48217 · Sales Agent
Duration 1m 18s
#48216 · Finance Agent
Duration 3m 55s
Built for teams that own an SLO
Run traces
Every step, tool call, retrieval, and model invocation is captured as a span you can replay.
Evaluation sets
Score new agent versions against golden examples and live traffic samples before promotion.
Grounding checks
Answers are verified against retrieved sources; unsupported claims are flagged and counted.
Cost attribution
Spend is attributed per agent, per workflow, and per resolved conversation.
SLO alerting
Burn-rate alerts on latency, error, and escalation objectives, routed to Slack or PagerDuty.
OpenTelemetry export
Stream spans and metrics into your existing observability stack.