The same evaluators, everywhere
Whatever grades your test set grades production, so there is no drift between the two
ONLINE EVALUATION
Keep scoring the real thing, not last month's test set.
Run your evaluators continuously against live production traffic, so a quality regression surfaces in minutes — with the sessions that prove it, not a hunch.
Deep dive
Online evaluation explained
Offline evaluation tells you how your agent handles the cases you thought of. Production tells you how it handles the ones you did not — the phrasing nobody tested, the document that broke retrieval, the model update that landed on a Tuesday.
Online evaluation closes that gap by running the same evaluators against live traffic, continuously. A drop in faithfulness or a rise in tool-choice errors shows up while the release is still fresh, with the exact sessions attached, rather than surfacing weeks later as a support trend.
Because the evaluators are shared with your offline suite, the two never drift apart: the bar you set in testing is the bar production is measured against. And anything that scores badly is one step from becoming a dataset, so the test set grows out of reality instead of away from it.
Capabilities
What you get
Continuous, not batch
Traffic is scored as it flows, so a regression shows up the same day it ships
Sample or score everything
Run on a slice to keep cost down, or on all of it when a release is in flight
Segmented scores
Quality per agent, per route, per model version and per tenant, not one blended average
Failures become datasets
Anything scoring badly in production can be curated into the test set in one step
Alertable by default
A score crossing a threshold raises an alert rather than waiting for a review
Trusted by teams shipping agents in production
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Turn 10‑hour investigations into 10‑minute fixes
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