An open future for governed AI. Built in the open
Platform

Analytics

Measure operating reality.
Not vanity.

Plan operational analytics around execution outcomes, approvals, policy decisions, capability use, target health, latency, and evidence quality.

Product direction · In active development

01

Metrics that guide action

The planned view includes successful and failed runs, blocked actions, approval rate, policy violations, utilization, compatibility, and connector reliability.

Trace to a decision

A useful metric should help an operator improve a workflow, policy, target, or capability.

02

Understand distribution

Intended reporting can show how skills, workflows, agents, models, connectors, and harnesses are actually used.

Context matters

Estimated costs and token consumption should be interpreted alongside outcomes and target behavior.

03

Keep claims grounded

Preview metrics in design imagery are sample data and should not be read as customer, production, or performance evidence.

Active development

Analytics implementation and data contracts remain under development.

The future is open

More capability.
Greater possibilities.

Let’s build an AI ecosystem worth trusting.

Rangoon, the smiling orange crab mascot
Product previewConcept interface · sample data · active development

Explore the design. Actual interfaces and feature availability may evolve.

Find your way around.

Search documentation, product features, and resources. Esc to close