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Frequently Asked Questions

A curated summary of the top questions asked on our Slack community, often relating to implementation, functionality, and building better products generally.
Statsig FAQs
SDKS SETUP

Is there an admin CLI or SDK for creating and configuring gates and experiments in Statsig?

Currently, there is no admin Command Line Interface (CLI) or Software Development Kit (SDK) specifically designed for creating and configuring gates and experiments in Statsig. However, you can use the Statsig Console API for these tasks.

The Console API documentation provides detailed instructions and examples on how to use it. You can find the introduction to the Console API. For specific information on creating and configuring gates, refer to this link.

While there are no immediate plans to build a CLI for these tasks, the Console API documentation includes curl command examples that might be helpful for developers looking to automate these tasks.

Please note that the Statsig SDKs are primarily used for checking the status of gates and experiments, not for creating or configuring them.

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What builders love about us

OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Brex
Karandeep Anand
CPO
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Notion
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
SoundCloud
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Ancestry
Partha Sarathi
Director of Engineering
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