# Crosswire — Polymarket & Kalshi Arbitrage

> Use this tool when you need to identify and capitalize on price discrepancies between Polymarket and Kalshi, solving problems of resolution mismatch, void risk, and settlement divergence. It takes market data from both platforms as input and outputs potential arbitrage opportunities, allowing for informed trading decisions. Ideal for traders seeking to exploit cross-venue inefficiencies and maximize profits.

Canonical page: https://skillsregistry.net/skills/com-crosswire-api-crosswire-polymarket-kalshi-arbitrage  
JSON: https://api.skillsregistry.net/v1/skills/com-crosswire-api-crosswire-polymarket-kalshi-arbitrage

## Description

Cross-venue Polymarket+Kalshi arbitrage: resolution mismatch, void risk & settlement divergence.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 0.6.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.crosswire-api%2Fcrosswire-polymarket-kalshi-arbitrage)
- **Repository:** <https://github.com/NicolasDuarte04/crosswire-mcp>

## Use it

MCP endpoint published by the skill: `https://api.crosswire-api.com/mcp`

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": "com-crosswire-api-crosswire-polymarket-kalshi-arbitrage"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-crosswire-api-crosswire-polymarket-kalshi-arbitrage` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-crosswire-api-crosswire-polymarket-kalshi-arbitrage/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