Prediction Market Intelligence MCP

Name: Prediction Market Intelligence MCP
Author: SeshatLabs

@SeshatLabs

关于 Prediction Market Intelligence MCP

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

基本信息

分类

金融与商务

传输方式

stdio

发布者

SeshatLabs

提交者

Mori Zihayat

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"
      }
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

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

FAQ from Prediction Market Intelligence MCP

What data sources does this server support?

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

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.

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.

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.