# Statsig

> Use this tool when you need to manage and optimize product features, run A/B testing experiments, and analyze user behavior. Statsig provides a robust platform for feature flags, dynamic configurations, and analytics, helping you solve problems related to product development, experimentation, and data-driven decision making. With its scalable and reliable infrastructure, Statsig is ideal for use cases requiring high uptime, low latency, and comprehensive feature management.

Canonical page: https://skillsregistry.net/skills/statsig  
JSON: https://api.skillsregistry.net/v1/skills/statsig

## Description

Statsig is a modern product development platform providing feature flags, A/B testing experiments, and analytics. The platform processes over 1 trillion events daily with 99.99% uptime and sub-millisecond evaluation latency. Supports comprehensive feature management including gates, dynamic configs, user segments, metrics access, and audit logs.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/statsig)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "statsig"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/statsig` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/statsig/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt