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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables natural-language research and structured, source-backed answers across SEC filings, earnings transcripts, company financials, stock and crypto market data, and prediction markets news and research.
      -
    • A
      license
      C
      quality
      C
      maintenance
      Enables AI agents and LLM apps to answer natural-language financial questions using live market data, including stocks, crypto, forex, futures, indices, ETFs, economic data, news, sentiment, SEC filings, earnings, financials, insider trading, ESG, credit ratings, and web traffic.
      132
      106 npm
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables users to ask natural-language questions and receive structured, source-backed answers across public filings, earnings transcripts, company financials, stock and crypto market data, news, and prediction markets research.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables natural-language research across SEC filings, earnings call transcripts, company financials, stock and crypto market data, and prediction markets, returning structured, source-backed answers. It also exposes deep-research synthesis agents and live documentation search to Claude Desktop, Cursor, and other MCP clients.
      -
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to access 37 read-only market-research tools for querying quotes, news, SEC filings, financial statements, ownership and insider activity, earnings, corporate calendars, options, and crypto data.
      49
      22 PyPI
      20
      AGPL 3.0
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI assistants to access stock prices, financial statements, earnings call transcripts, and fundamental data for 60,000+ public companies via 25 read-only tools.
      25
      29 npm
      4
      MIT