Statsig

Tools 48

• Get Autotune Eligible Reviewers

  List the users and reviewer groups eligible to approve/reject a review of this autotune experiment. Use this to pick valid reviewer_ids / reviewer_group_ids when creating or editing an autotune review. The response carries everyone_eligible (true when anyone may review), users (the flattened, deduped set of eligible individuals), and groups (each with its member user_ids). Note: project admins can always review and are NOT enumerated here. path_id = the autotune's ID.

• Get Autotune Review By ID

  Get a single review for an autotune experiment by its review ID, including its status, proposed change type, author, and requested reviewers. A review is a proposed change that goes through an approve → commit lifecycle before it is applied. path_id = the autotune's ID; path_reviewID = the review ID (from Get_List_of_Autotune_Reviews or Create_Autotune_Review).

• Get Context

  Bootstrap the authenticated Statsig MCP session. Returns bounded organization, selected project, environment, effective API-key permissions, review settings, accessible product areas, project environments, event sources, metrics, default timezone, and relevant links. The API key already selects one project, so no project ID is required. Use scope for common bundles and fields/limit to request only the context sections you need.

• Get List Of Autotune Reviews

  List the reviews for an autotune experiment, newest first. A review is a proposed change to the autotune (start / reallocate / make_decision / delete, etc.) that goes through an approve → commit lifecycle before it is applied to the live autotune. Defaults to a small page (the active/most-recent review is the usual interest); pass query_limit / query_page to page further back through history. Use path_id = the autotune's ID.

• Cluster Log Patterns

  Cluster similar log lines into templates (same as `statsig-query log-patterns`). Use after `Query_Logs_Explorer` when raw lines are too noisy. Pass a Logs Explorer filter (e.g. `service:scrapi AND tier:latest AND level:error`) — do not wrap in `#logs{ }`. Statsig/OpenAI internal organizations only (mirrors CAPI `@OpenAIAndStatsigOrgOnly`). Optional: `field` (default clusters on log message field), `limit`, time window (`start_ts`/`end_ts` in ms).

• Fetch

  Fetch the full document for a search result id. Use the id returned by search.

• Get Audit Logs

  List audit logs for this Statsig project. Supports filtering by id, sorting, tags, date range, and pagination.

• Get Dynamic Config Details By ID

  Get the details (including rules, return values, and more) for a Dynamic Config (static, targetable JSON) in the Statsig console.

• Get Dynamic Config Eligible Reviewers

  List the users and reviewer groups eligible to approve/reject a review of this dynamic config. Use this to pick valid reviewer_ids / reviewer_group_ids when creating or editing a dynamic config review. The response carries everyone_eligible (true when anyone may review), users (the flattened, deduped set of eligible individuals), and groups (each with its member user_ids). Note: project admins can always review and are NOT enumerated here. path_id = the dynamic config's name/ID.

• Get Dynamic Config Review By ID

  Get a single review for a dynamic config by its review ID, including its status, proposed change, author, and requested reviewers. A review is a proposed change to the dynamic config that goes through an approve → commit lifecycle before it is applied. path_id = the dynamic config's name/ID; path_reviewID = the review ID (from Get_List_of_Dynamic_Config_Reviews or Create_Dynamic_Config_Review).

• Get Dynamic Config Version History

  List historical versions of a Dynamic Config (static, targetable JSON object) to reconstruct a timeline of how it changed — rules, return values, defaults, and metadata across edits. Useful for debugging when dynamic config behavior changed and what changed it.

• Get Experiment Details By ID

  Get details including parameters (return values), groups, status & more of an experiment in Statsig. Use query_fields to return only specific top-level fields and keep the response small.