ETF Holdings and Weights
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. 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.
Ask Financial Modeling Prep
what it is best at.
Each prompt plays to something Financial Modeling Prep covers better than anyone, and shows the report series it draws on. Copy it into ChatGPT, Claude or your own agent and the answer comes back cited to the report.
Compare the expense ratios and assets of the largest S&P 500 ETFs.
Financial Modeling Prep holds one profile row per ETF with issuer, expense ratio, assets under management, inception date and holdings count, so an agent can line up the largest S&P 500 trackers by fee and assets.
Issuer, inception date and holdings count per ETF.
As it happensExpense ratio and assets under management per ETF for cost and size comparisons.
As it happensHow to connect your agents 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.
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Add Bigdata.com as a connector in Claude, ChatGPT, Microsoft Copilot or your own agent.
Ask in plain words
Ask your question the way you would ask a colleague. Your agent searches this source and cites every answer.
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Included with every planIncluded with every plan. Connect through the Bigdata MCP server.
