For the complete documentation index, see llms.txt. This page is also available as Markdown.

Statistics

The Statistics section gives organizations deep observability across infrastructure, AI usage, private chat activity, and policy events.

What you can analyze

Gateway and resource usage

Track platform-wide and scoped metrics, including:

  • credit consumption,

  • AI/LLM usage,

  • storage and data transfer,

  • uploaded and downloaded data volume,

  • token usage and trend comparisons over time.

Private Chat analytics

Review how teams use private chat:

  • activity levels,

  • conversation and prompt volume,

  • token consumption over time,

  • workspace/repository distribution.

Policy analytics

Admins can inspect policy-level signals such as:

  • policy trigger counts,

  • violation/breach indicators,

  • risk trends,

  • affected scopes and users.

This helps security and governance teams refine AI safety posture.

Why this section is critical

Statistics convert raw operations into decisions:

  • optimize infrastructure and provider mix,

  • detect anomalies early,

  • tune policies with evidence,

  • and improve cost predictability.

API mapping

See: Statistics API

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