@BlueWaterCorp
基本情報
US equity factor risk decomposition, ETF hedge ratios and fundamentals over MCP.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"riskmodels": {
"command": "npx",
"args": [
"-y",
"@riskmodels/mcp"
],
"env": {
"RISKMODELS_API_KEY": "<your key from riskmodels.app/get-key>"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
RiskModels provides clean dividend-adjusted total returns, factor risk decomposition, return attribution, and ETF-executable hedge ratios for US equities. It is delivered over REST, a typed Python SDK, and a built-in MCP (Model Context Protocol) server. The dataset covers ~16,000 US stocks historically, with a monthly headline universe of the largest ~3,000 by market cap.
Install the Python SDK with pip install riskmodels-py, then create a RiskModelsClient and call methods like client.analyze(). For AI agent integration, connect to the hosted MCP server via SSE at https://riskmodels.app/api/mcp/sse or run the local MCP server with stdio transport for tools like riskmodels_decompose and riskmodels_hedge_position. A CLI tool is also available via npm.
The historical panel covers ~16,000 US stocks. The monthly headline universe for daily outputs is the largest ~3,000 stocks by market cap. Split- and dividend-adjusted returns begin on 2006-01-04. Served hedge ratios begin on 2010-12-08, shares and stock variance on 2011-12-07, and L* residual outputs on 2013-01-01.
Use the hosted MCP server’s SSE endpoint at `https://riskmodels.app/api/mcp/sse` with a Bearer token (API key or OAuth2 JWT). Alternatively, run the local MCP server from this repository for stdio transport, which exposes tools like `riskmodels_decompose` and `riskmodels_hedge_position`.
The API supports OAuth2 and bearer token authentication using an API key. API keys can be obtained from the developer portal at `riskmodels.app/get-key`.
Yes. The published L1/L2/L3 hedge ratios are dollar-denominated and designed to remain executable with liquid raw ETFs, not with synthetic or orthogonalized factors.
Adjusted return series begin on 2006-01-04. Served hedge ratios begin on 2010-12-08, shares and stock variance on 2011-12-07, and L* residual outputs on 2013-01-01. Data is updated daily.
Official Model Context Protocol (MCP) server for Stockpile Market - Autonomous Agent Commerce & Curation.
Connect QuickBooks Online to Claude, ChatGPT, Grok, Copilot, Gemini, Cursor and other AI Agents
The going rate for a human minute. Countersignatory publishes a live spot index for verified human judgment, and a quote engine that prices a task before you commit to it. Four markets, ranked by what the responder has a
Amazon (US, UK, DE, CA, AU, FR, IT, ES, JP, MX, BR) and Walmart US product data for Claude, ChatGPT, Cursor and any MCP client: ranked product search, prices, stock, sellers and the Buy Box, price and sales-rank history,
On-chain credit pool for ERC-8004 AI agents on Robinhood Chain: agents borrow USDG, repay it and earn a public credit score. Contracts, SDK, CLI, MCP server (@priors/mcp), x402 helpers (@priors/x402) and an agent skill.
コメント