# propzapi

> propzapi — paperandbeyond23-gif-propzapi-skills. Use this tool when you need to access live sports odds and player props across multiple US sportsbooks, normalized into a JSON format. It solves problems related to data aggregation and standardization for sports betting applications, providing tools like get_odds, get_props, and get_events. The propzapi is ideal for developers building sports betting platforms, requiring a reliable and standardized feed of sports odds and props, with a free tier available via API-key authentication.

Canonical page: https://skillsregistry.net/skills/paperandbeyond23-gif-propzapi-skills  
JSON: https://api.skillsregistry.net/v1/skills/paperandbeyond23-gif-propzapi-skills

## Description

Props-first sports odds API with a hosted MCP server. Live odds and player props (moneyline, spreads, totals) across US sportsbooks, normalized to JSON. Tools: get_odds, get_props, get_events, get_books. API-key auth, free tier.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w4bopeuel6)
- **Repository:** <https://github.com/paperandbeyond23-gif/propzapi-skills>

## 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": "paperandbeyond23-gif-propzapi-skills"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/paperandbeyond23-gif-propzapi-skills` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/paperandbeyond23-gif-propzapi-skills/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
