Full visibility of how AI is accessing your data.
Usage, health and performance — for the whole context layer, one domain, one entity, or one person.
Inspect the usage, quality, health and performance of your context layer.
Metrics are recorded across the breadth of the context layer — every entity, brief and skill, every domain, every surface. Which were read, by whom, how often, at what depth, and what each one cost in tokens. Is anyone using the Renewals domain and why did this rep's Account 360 come back thin are the same tool, asked at different depths.
Quality measures what actually arrived rather than what was intended: how much of an entity the caller's field-level security permitted through, and how sparse the data behind it turned out to be. A thin answer has only two causes, and this separates them.
And every write an agent makes is recorded in an audit log — the user, the agent, the surface, and the field-by-field before and after.
Who changed what, and whenQuality
19 days with traffic · trailing 30 days
Whether agents are getting whole context: how much of what you designed actually arrived, and how often something went wrong.
Domain
Library
Artifact
Surface
Level
Format
Completeness & FLS coverage %
Errors & issues by day
Knowing, instead of guessing.
Usage
Which entities, briefs and skills agents read, by whom, on which surface and at what depth — with token counts per format.
Health
Whether what you designed is what arrived. Stripped fields, empty values, failed enrichments and configuration errors, surfaced as they happen.
Performance
Assembly time per request, and what dominated it. A slow entity is usually one expensive element, and the breakdown names it.
