I need to get an AI agent up and running whose sole focus is numerical-data analysis. Once it is live, I want to be able to drop a dataset into a folder (or point to a database/API), issue a prompt, and have the agent return clear insights—summary statistics, trends, maybe even an alert if something looks off. To get there, I will need you to: • Install and configure a suitable agent framework (LangChain, AutoGPT, CrewAI, or whichever stack you recommend) on my preferred cloud instance. • Wire it to my data source—initially CSV files, later a SQL endpoint—so the agent can access fresh numerical data without manual uploads. • Build a reusable analysis workflow that: – reads the data, – performs descriptive and trend analysis, ...
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