# Kalshi by Quantish

> Use this tool when you need to integrate AI agents with Kalshi prediction markets on the Solana blockchain. It solves problems related to automated trading, account management, and market interaction, providing a seamless interface for placing orders, tracking positions, and managing wallets. The tool accepts inputs such as trading strategies and market data, and outputs include trade executions, account balances, and market updates.

Canonical page: https://skillsregistry.net/skills/gh-joinquantish-kalshi  
JSON: https://api.skillsregistry.net/v1/skills/gh-joinquantish-kalshi

## Description

Enables AI agents to trade on Kalshi prediction markets through the DFlow protocol on Solana. Provides tools for account management, market discovery, order placement, position tracking, Jupiter token swaps, and wallet management. Supports full trading lifecycle including signup, deposits, limit orders, and winnings redemption.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-joinquantish-kalshi)
- **Repository:** <https://github.com/joinquantish/kalshi-mcp>

## 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": "gh-joinquantish-kalshi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-joinquantish-kalshi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-joinquantish-kalshi/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