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List Statsig metrics and retrieve feature-gate rollout Pulse results programmatically via the Console API

Set up Statsig warehouse-native data ingestion from S3 or a cloud warehouse so Statsig imports your events and metrics

Fetch a Statsig dynamic config, experiment, or layer parameter value for a user over raw HTTP with no SDK

Log custom events to Statsig over raw HTTP with no SDK using the log_event endpoint, batched in a single request

Evaluate a Statsig feature gate for a user over raw HTTP with no SDK using the check_gate endpoint

Log a custom event in a Node.js serverless function with the Statsig SDK and flush before the function exits so events aren't lost

Bootstrap the Statsig client SDK server-side with getClientInitializeResponse in Next.js to avoid a network round trip and flicker

Initialize the Statsig React client SDK with a client key and conditionally render UI behind a feature gate

Read a Statsig experiment in the Node.js server-core SDK and get the user's assigned group and parameter values

Read a Statsig experiment in the Node.js server-core SDK and get the user's assigned group and parameter values

Initialize the Statsig Python server-core SDK with a secret key and check a feature gate for a user

Retrieve Statsig Pulse experiment results (lift, p-value, confidence intervals) for a test vs control group via the Console API

Create a Statsig dynamic config with a default JSON value, targeting rules, and optional JSON schema via the Console API

Create a Statsig A/B test experiment with variant groups and metrics, then start it live via the Console API

Create a Statsig feature gate with a named targeting rule (conditions and pass percentage) via the Console API

Authenticate to the Statsig Console API with a Console API Key and list all feature gates in a project