Overview
What is Defeatbeta Api?
Defeatbeta Api is an MCP server that provides AI agents with access to a high-performance, open-source alternative to Yahoo Finance’s market data APIs. It delivers reliable stock price data, financial statements, extended financial metrics (TTM EPS, PE, market cap, ratios, ROE, ROIC, etc.), earnings call transcripts, and stock news—all hosted on Hugging Face’s yahoo-finance-data dataset and powered by DuckDB’s OLAP engine.
How to use Defeatbeta Api?
Install the defeatbeta-api Python package from PyPI using pip. Then configure the MCP server by following the instructions in the MCP implementation guide (located at mcp/README.md in the repository). On Windows, a WSL or Docker environment is required due to dependencies on cache_httpfs.
Key features of Defeatbeta Api
- Reliable, scrape‑free market data via Hugging Face datasets
- Sub‑second analytical queries with full SQL support (DuckDB)
- Extended financial metrics (TTM EPS, PE, market cap, ratios, ROE, ROIC, etc.)
- LLM‑powered analysis of earnings transcripts and quarterly forecasts
- Built‑in MCP server for AI‑agent integration
- Covers historical prices, financial statements, news, and revenue breakdowns
Use cases of Defeatbeta Api
- AI agents performing stock valuation and fundamental analysis
- Automated financial reporting and dashboard generation
- Backtesting trading strategies using historical price and ratio data
- Analyzing earnings call transcripts with large language models
- Building custom quantitative research workflows without scraping
FAQ from Defeatbeta Api
What data does the MCP server provide?
It provides stock price data, quarterly/annual financial statements, TTM EPS, TTM PE, market cap, P/S, P/B, P/E, PEG, ROE, ROIC, WACC, ROA, equity multiplier, asset turnover, earnings call transcripts, and stock news.
What are the system requirements?
Python 3.9 or later is required. On Windows, a WSL or Docker environment is necessary because the underlying cache_httpfs extension does not support Windows natively.
How is the data hosted and accessed?
All data is sourced from the Hugging Face dataset yahoo-finance-data and queried via DuckDB’s OLAP engine with the cache_httpfs extension, eliminating the need for web scraping and avoiding rate limits.
Does the MCP server support multiple transport protocols?
The README describes the MCP Server implementation as providing AI access through MCP (Model Context Protocol). Specific transport details (stdio/SSE/WebSocket) are not listed.
What is the difference from Yahoo Finance?
Defeatbeta Api is an open-source alternative that eliminates scraping issues and provides higher reliability, extended financial metrics, and built-in LLM analysis capabilities.
