# dfs-engine

> dfs-engine — buzzr-app-dfs-engine. Use this tool when you need to automate daily fantasy sports (DFS) settlements, payouts, and stat normalization for contests like PrizePicks and Underdog. It solves problems related to contest management, providing a CLI interface for input and output, and test vectors for validation. Ideal for use cases requiring efficient and accurate DFS contest management, such as PrizePicks-style contests.

Canonical page: https://skillsregistry.net/skills/buzzr-app-dfs-engine  
JSON: https://api.skillsregistry.net/v1/skills/buzzr-app-dfs-engine

## Description

TypeScript DFS settlement, payouts, stat normalization, test vectors, CLI, and an 11-tool MCP server for PrizePicks/Underdog-style contests.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Buzzr-app/dfs-engine)

## 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": "buzzr-app-dfs-engine"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/buzzr-app-dfs-engine` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/buzzr-app-dfs-engine/pull`

---
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