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Prediction Market Intelligence MCP Server

@SeshatLabs

代码仓库

基本信息

分类

金融与商务

传输方式

stdio

作者

SeshatLabs

提交者

Mori Zihayat

关于 Prediction Market Intelligence MCP Server

Real-time prediction market intelligence for AI agents. Connect to Polymarket and Kalshi data — smart money leaderboards, wallet profiling (60+ metrics), social pulse signals, candlesticks, orderbook depth, and cross-platform market matching. 13 agents covering the full predict

#polymarket#kalshi#prediction-markets#trading#finance#wallet-intelligence#social-sentiment#copy-trading#market-data#orderbook#candlesticks#crypto#defi#analytics#smart-money

Prediction Market Intelligence MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "heisenberg": {
      "type": "sse",
      "url": "https://narrative.agent.heisenberg.so/sse",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Prediction Market Intelligence MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,直接连接服务器端点实时获取工具列表。

概览

What is Prediction Market Intelligence MCP?

Prediction Market Intelligence MCP connects Claude (or any AI agent) to Polymarket and Kalshi data — wallets, markets, prices, orderbooks, and social signals — through a single SSE connection. It is built for AI agents that need real-time prediction market analytics without managing multiple APIs.

How to use Prediction Market Intelligence MCP?

Configure the MCP server in your client as an SSE endpoint with an API key. Add the JSON shown in the Quick Connect section to your mcpServers configuration, replacing YOUR_API_KEY with your key from heisenberg.so. Once connected, agents can invoke any of the 13 provided tools to query market intelligence.

Key features of Prediction Market Intelligence MCP

  • H-Score ranked wallet leaderboard (filters bots and lucky streaks)
  • Deep wallet profiles with 60+ metrics (Sharpe, Sortino, sybil risk, etc.)
  • Search and filter markets across Polymarket and Kalshi
  • Real-time social pulse: volume, sentiment, acceleration per keyword
  • OHLC candlesticks and historical orderbook snapshots for any token

Use cases of Prediction Market Intelligence MCP

  • Identify elite traders by H-Score and risk-adjusted returns across time
  • Perform due diligence on a wallet before copy-trading
  • Track narrative momentum via social signals and compare to market pricing
  • Compare prices and volumes of similar markets on Polymarket vs Kalshi
  • Analyze historical execution data and orderbook depth for any outcome token

常见问题

1

What data sources does this server support?

Polymarket and Kalshi — covering wallets, markets, trades, orderbooks, and candlesticks.

2

How do I connect my AI agent?

Use the SSE endpoint `https://narrative.agent.heisenberg.so/sse` with an `Authorization: Bearer YOUR_API_KEY` header. Get an API key at heisenberg.so.

3

What is the H-Score?

A proprietary metric that ranks wallets by consistent risk-adjusted returns, filtering out bots, lucky streaks, and wash traders. The leaderboard surfaces Elite and Sharp tier traders.

4

How many tool agents are available?

Thirteen, ranging from wallet profiles (Wallet 360, Wallet Stats) to market research (Polymarket Markets, Kalshi Markets), trade data, candlesticks, orderbooks, and social pulse.

5

Is there a free tier or trial?

The README directs users to heisenberg.so to sign up for an API key; specific pricing or free tier details are not listed.

评论

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