TRACE
See the full story
Follow the prompt, context, model, and tool calls behind every run—and find exactly where things went off track.
Observability and evaluation for AI agents
SingSight
See what your agents did.
Know whether it worked.
Follow every model and tool call, measure real-world task success, and optimize quality, latency, and spend.
Return request
Everything ran. The outcome was wrong.
Customer asked
Return the wristwatch
Understood
Agent did
Returned hiking boots
Call succeeded
Actual outcome
Wrong item returned
Task failed
No errors doesn’t mean no failure.
Find the failure. Fix it.
Prove the improvement.
EVALUATION
Measure what matters
Score agents against real task outcomes, then surface the same failure pattern across production traffic.
LAKEHOUSE ANALYSIS
Turn runs into insights
Analyze quality, latency, and token spend in the Singdata Lakehouse, and see whether each release made a difference.
Watch SingSight in action
Product Brief
See how SingSight works
Get the full product overview, including the architecture, workflow, and a step-by-step production example.
SingSight Product Overview
21-page product brief
