Connect your AI agent to ETF Holdings and Weights
Add the Bigdata MCP server to ChatGPT, Claude, Microsoft Copilot, Grok or your own agent, then ask for ETF Holdings and Weights from Financial Modeling Prep.
See what your agent gets back
Example answer from an AI agent connected to Bigdata.com. Every claim cites its source.
Compare the expense ratios and assets of the largest S&P 500 ETFs.
Financial Modeling PrepPaste this prompt into your agent with Bigdata.com connected to get a cited answer.
What's covered
ETF Holdings and Weights
Issuer, expense ratio, AUM, inception and holdings count.
About ETF Holdings and Weights
Connect it through the Bigdata MCP server and your agent can query it and work with the figures it returns.
About Financial Modeling Prep
Financial Modeling Prep (FMP) provides financial data such as company statements, market prices, estimates and fund data. Bigdata.com carries a set of its data sets.
Connect ETF Holdings and Weights to your agent
Add the Bigdata MCP server
Add Bigdata.com as a connector in Claude, ChatGPT, Microsoft Copilot or your own agent.
https://mcp.bigdata.com/Check your access
Included with every planIncluded with every plan. Connect through the Bigdata MCP server.
Frequently asked questions
Can ChatGPT access ETF Holdings and Weights?
Yes, through the Bigdata MCP server. Once it is connected, ChatGPT can query ETF Holdings and Weights from Financial Modeling Prep.
How do I connect ChatGPT, Claude, Copilot or Grok to ETF Holdings and Weights?
Add the Bigdata MCP server to ChatGPT, Claude, Microsoft Copilot or Cursor and sign in. For Grok, add it as a remote MCP tool in the xAI API, using a Bigdata API key.
What is included?
Fund-level profile for ETFs, including issuer, expense ratio, assets under management, inception date and number of holdings. Use it to compare ETFs on cost, size and track record.
Who provides it?
Financial Modeling Prep, a financial data provider. It reaches Bigdata.com as one of Financial Modeling Prep's data sets.
Start building with Bigdata.com
Connect through the Bigdata MCP server or API. Every answer cites its source.
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