Product Updates

🎰 Create Autotunes via the Statsig MCP

Now, you can create an Autotune (multi-armed bandit) experiment directly through the Statsig MCP, no console required.

What you can do now

• Create an Autotune by describing the arms, success event, exploration and attribution windows, and winner threshold.

• Autotunes are created as drafts by default, so no traffic is reallocated until you start it from the console.

• The agent confirms before writing, prompting for confirmation before anything is created.

One new tool is available on api.statsig.com/v1/mcp:

• Create_autotune

Why this matters

Teams running Autotune for live AI agent experiments can now manage the full setup through agents. Instead of manually configuring a multi-armed bandit in the console, you can describe what you want and let the agent build it, keeping your agentic workflows end-to-end.

Try it out

If you have the Statsig MCP set up, try a prompt like:

• "Using the Statsig MCP, create an Autotune called checkout-button-color with a control variant {color: blue} and a treatment variant {color: green}, optimizing for the event 'checkout', with 24hr exploration and attribution windows and a 95% winner threshold."

Learn more in the docs: Statsig MCP Overview.

🗑️ Single-Override DELETE Endpoints in the Console API

You can now delete individual experiment and layer overrides directly via the Console API, no GET-mutate-POST workaround needed.

What you can do now

• Delete a single conditional or userID override from an experiment or layer via path-param DELETEs.

• Target a specific environment with an optional environment query param, or omit it for the all-environments bucket.

• Call these endpoints cleanly from OpenAPI-generated or SDK-based clients, since they use path and query params only with no DELETE body.

Four new endpoints are available on statsigapi.net/console/v1/:

• DELETE /experiments/:id/overrides/conditional/:type/:name

• DELETE /experiments/:id/overrides/userID/:userID

• DELETE /layers/:id/overrides/conditional/:type/:name

• DELETE /layers/:id/overrides/userID/:userID

:type is gate or segment. :name is the gate or segment name. All four endpoints are idempotent, returning 200 even when no matching override exists.

Why this matters

SDK-based E2E testing frameworks often need to clean up individual overrides between test runs. The previous approach required fetching the full overrides object, mutating it locally, and re-posting it, which is fragile and hard to parallelize. These endpoints make override teardown a single, safe, idempotent call.

Try it out

Review the full API reference in the Statsig Console API docs.

🕰️ Version History Tools in the Statsig MCP

Statsig MCP now lets you pull the full edit history of any Feature Gate, Experiment, or Dynamic Config without a console.

What you can do now

• Retrieve the complete version timeline for a feature gate, experiment, or dynamic config.

• See who made each change, when, and exactly what was modified: rules, ID type, enabled state, allocation, variants, and values.

• Access config history programmatically to power agentic workflows that reason about how configs have changed over time.

Three new tools are available on api.statsig.com/v1/mcp:

• Get_Gate_Version_History

• Get_Experiment_Version_History

• Get_Dynamic_Config_Version_History

Why this matters

Config history is critical for debugging, incident reviews, and agentic reasoning, but it's been locked behind manual console navigation. Now, you can understand when behavior changed, reconstruct a timeline for an incident post-mortem or feed agents that need to detect or reason about config drift over time.

Try it out

If you have the Statsig MCP, try a prompt like:

• "Using the Statsig MCP, pull the version history for gate feature-gate-name and summarize what changed across versions."

Learn more in the docs: Statsig MCP Overview.

🧩 Statsig Agent Skills Repository

Today, we’re launching agent-skills, our new public repository for reusable Statsig skills. It’s designed to help teams run common Statsig workflows faster and more consistently from AI agents.

What you can do now

• Create Dashboard: Generate Statsig dashboards with a repeatable, structured workflow instead of manual one-off setup.

• Create Cloud Metric: Define cloud metrics through a guided skill flow, including key configuration steps that are easy to miss in ad hoc API calls.

Why this matters

Skills turn complex Statsig workflows into repeatable, shareable agent instructions you can personalize or share and reuse across your team's projects. With Skills, you can direct your agents to execute multi-step logic, stitching together Console API calls, MCP tool calls, and prompt instructions.

Getting started

1. Ensure you have a Console API Key -- this is required for the skill to carry out Statsig Console API actions.

2. Install the Statsig agent-skills repo with the Vercel skills CLI:

   npx skills add statsig-io/agent-skills

3. Instruct your agent to use the skill (e.g., "Codex, help me create a cloud ratio metric for checkout rate).

4. Watch your agent follow your direction and the skill instructions to work with Statsig!

Explore the repo and start building repeatable Statsig workflows: statsig-io/agent-skills.

🎯 Segments and Layers in MCP

Statsig MCP now supports for both Segments and Layers, so you can more seamlessly manage user targeting and experiment configuration using your AI workflows.

What you can do now

• View full segment definitions and create new segments (rule-based or ID-based)

• Update existing segments, including rule-based segments and ID-based segment membership

• View all layers and their parameter details

• Create layers and create experiments with assignment to a layer

Why this matters

Segments and Layers are core building blocks for safe, precise experimentation. Segments unlocked faster targeting definition based on a set of users or rules. Layers unlocked cleaner parameter management under high experiment volume. Now, empowering your agents with these tools will help accelerate iteration velocity and improved engineering efficiency, all while maintaining safe and consistent experiment configurations.

Try it out

If you have the Statsig MCP set up, try the below example prompts and workflows to explore the new segment and layers functionality:

• "List all segments, then show details for the segment [segment_name].”

• “Create a layer for shared signup experiment parameters.”

• "Create an experiment testing new signup flow UI and add it to the signup_tests layer."

Learn more in the docs: Statsig MCP Overview.

⚔️ Cancel Queries

Abort long-running queries from Metrics Explorer to reduce warehouse load and avoid unnecessary compute usage.

What You Can Do Now

• Prevent long-running queries from tying up warehouse resources

• Avoid accidental full-dataset scans

• Limit the cost impact of exploratory queries

How It Works

Metrics Explorer queries can be canceled after 5 seconds when running on supported warehouse integrations (BigQuery, Databricks, Snowflake, and Athena). Query cancellation currently applies to individual charts and does not yet extend to dashboards.

Impact on Your Analysis

Cancel Queries let you interrupt a run, refine the query, and try again immediately. This reduces unnecessary warehouse usage while keeping exploratory workflows fast and responsive.

🧰 Generate Dashboards via API (Private Beta)

You can now create dashboards via the Statsig Console API. This unlocks dashboard setup through code so teams can plug into internal tooling and automation, including Codex Skills.

What You Can Do Now

• Generate dashboards from an API request

• Add time series, rich text, and categorical widgets

• Integrate dashboard creation into workflows powered by tools like Codex Skills

Impact on Your Analysis

Dashboards can now be managed at scale through code. Teams can automate setup to save time and integrate it with the tools they already use. The console remains available for exploration and refinement.

Private Beta

This feature is currently in private beta for Pro and Enterprise customers.

If you'd like access, reach out over Slack.

🗂️ Dashboard Pages

Add structure to dashboards by organizing widgets into focused sections. Dashboard Pages help teams separate workflows and context so related signals live together.

What You Can Do Now

• Navigate dashboards with clearer context

• Group related widgets into dedicated views

• Keep dashboards performant as they scale

How It Works

Add pages inside a dashboard to organize widgets into distinct sections while keeping everything in one place.

Impact on Your Analysis

Loading fewer widgets at once improves dashboard performance and responsiveness. Teams can move between workflows faster while working with large or complex dashboards

🔄 Lifecycle Charts

Understand how users start, return, stay active, and churn over time. Lifecycle Charts classify user activity across time intervals to show how engagement evolves.

What You Can Do Now

• Understand product stickiness out of the box

• Separate growth driven by new vs sustained engagement

• Spot churn and reactivation patterns at a glance

How It Works

Select an event, define a unique unit, and choose a time interval. Lifecycle Charts automatically classify activity by one of four lifecycle states:

1. New: Active in the current interval with no prior activity within the lookback window (up to one year)

2. Resurrected: Active in the current interval, not active in the previous interval, but had activity earlier in the lookback window

3. Recurring: Active in both the current and immediately previous interval, indicating continued engagement.

4. Dormant: Active in the previous interval but inactive in the current one, highlighting potential churn

Impact on Your Analysis

Lifecycle Charts reveal why usage changes by showing shifts in engagement composition over time. Teams can distinguish growth from retention changes, identify drop-off earlier, and understand product stickiness without building custom retention analyses.

Check out our docs for more information.

📬 Dashboard Subscriptions

Stay informed on key metrics through scheduled dashboard reports. Dashboard Subscriptions deliver a PDF snapshot of your dashboard directly to Slack or email on a cadence you choose.

What You Can Do Now

• Receive automated dashboard snapshots in Slack or email

• Schedule recurring updates for teams or stakeholders

• Keep visibility on important metrics without manually checking dashboards

How It Works

From any dashboard, open the “…” menu and select Add Dashboard Subscription. Configure the delivery schedule and subscribed audience. Statsig generates a PDF snapshot at the scheduled time and delivers a read-only version of the dashboard via Slack or email.

Impact on Your Analysis

Dashboard Subscriptions makes it easier for teams to monitor ongoing trends asynchronously. Stakeholders receive recurring updates as dashboards update.