Why does Ragalgo use daily close data instead of real-time?
Real-time tick data is noisy and can cause LLMs to hallucinate patterns. Daily close data provides a confirmed, cleaner state-of-truth for AI analysis.

@kokogo100
Dynamic RAG Engine for AI Reliability. We provide mathematically scored context & sanitized data to prevent hallucinations in both static & volatile domains (starting with Korean Finance).
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"ragalgo": {
"command": "node",
"args": [
"dist/index.js"
],
"env": {
"RAGALGO_API_KEY": "<YOUR_API_KEY>"
}
}
}
}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。
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。
Ragalgo is an MCP Server that provides mathematically scored financial context (Korean Stocks/Crypto) to AI agents, focusing on daily closed data to reduce AI hallucinations from real-time market noise. It delivers analysis reports instead of raw tick data, aimed at developers building reliable investment advisors.
Configure it in Claude Desktop via Cloud (URL) or Local (npx) mode, setting the RAGALGO_API_KEY. A free 1,000-call key is available at the RagAlgo Dashboard. Start with the example repository for step-by-step recipes.
Real-time tick data is noisy and can cause LLMs to hallucinate patterns. Daily close data provides a confirmed, cleaner state-of-truth for AI analysis.
It fully supports Korea (KOSPI/KOSDAQ), USA (NYSE/NASDAQ), Japan (Nikkei 225), UK (LSE), and Global Crypto (Upbit/Binance).
Use `get_news_scored` for filtered, AI-scored news. Use `get_news` only if you need raw unfiltered data and plan to build your own scorer.
Obtain a free 1,000-call key instantly from the RagAlgo Dashboard at ragalgo.com/dashboard.
Yes, a WebSocket stream (wss://ragalgo-relay-server-1-production.up.railway.app) is available for Business Plan subscribers, intended for monitoring dashboards, not LLM inference.

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