How to build a Grant Analysis Agent

This agent streamlines the process of understanding government grant opportunities by allowing users to upload a CSV file containing grant data. The workflow begins with a Files node that ingests and processes the uploaded file, making the data available for analysis. The Data Analysis action node then runs advanced statistical analysis on the dataset, calculating summary statistics and identifying funding trends relevant to companies. The results are passed to two different large language model (LLM) nodes: one (Anthropic LLM) generates a clear, nonprofit-focused summary of the findings, while the other (Perplexity LLM) produces actionable recommendations for companies seeking grants. These outputs, along with the original analysis, are formatted into a business-friendly markdown report by a Template node, and finally presented to the user via the Output node. The entire process is automated, ensuring that organizations can rapidly turn raw grant data into strategic insights and practical next steps.