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
Basic information
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).
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"ragalgo": {
"command": "node",
"args": [
"dist/index.js"
],
"env": {
"RAGALGO_API_KEY": "<YOUR_API_KEY>"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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