How to build a Grant Analysis Agent
This agent automates the analysis, summarization, and business-focused reporting of government grant data, making it easy for organizations to identify funding opportunities and trends.
Challenge
Companies and nonprofits struggle to quickly extract actionable insights and trends from complex government grant datasets.
Industry
Nonprofit
Government
Department
Research
Content Creation
Integrations
Perplexity
Batch Processing
Workflow Overview
1. Files Node (doc-0): Upload and Process Grants Data
Purpose:
Lets the user upload a government grants CSV file for analysis.
The node processes the file (including OCR if needed) and extracts the text/data for downstream analysis.User Action:
User uploads a CSV file containing government grants data.
2. Data Analysis Action Node (action-0): Analyze the Uploaded Data
Purpose:
To tell you more about this tool, let me inspect its exact properties.
3. LLM Nodes: Generate Insights and Recommendations
a. Anthropic LLM (llm-0): Summarize Key Findings
Purpose:
Summarizes the key findings from the data analysis, focusing on insights relevant to nonprofits or companies seeking grants.Input:
Receives the summary statistics and trends from the Data Analysis node.Output:
A concise, nonprofit-focused summary of the most important insights and trends.
b. Perplexity LLM (llm-1): Generate Actionable Recommendations
Purpose:
Provides actionable recommendations for companies based on the analysis results.Input:
Also receives the summary statistics and trends from the Data Analysis node.Output:
Strategies and tips for companies to identify suitable grants, optimize applications, and understand eligibility.
4. Template Node (template-0): Format the Results
Purpose:
Combines the raw analysis, key insights, and recommendations into a business-friendly markdown report.Input:
Results from the Data Analysis node (including tables and charts)
Key insights from Anthropic LLM
Recommendations from Perplexity LLM
Output:
A well-structured markdown report for business users.
5. Output Node (out-0): Present the Final Report
Purpose:
Displays the formatted report to the user as the final output of the workflow.
Summary Table
Node Name | Description |
|---|---|
Files | User uploads government grants CSV file |
Data Analysis | Analyzes the uploaded data for summary statistics and trends |
Anthropic LLM | Summarizes key findings for companies/nonprofits |
Perplexity LLM | Generates actionable recommendations for companies |
Template | Formats all results into a business-friendly markdown report |
Output | Presents the final report to the user |
How It Works in Practice
User uploads a CSV file with government grants data.
Data Analysis node computes summary statistics and trends (mean, median, min, max, count, std. dev.) for relevant columns.
Anthropic LLM summarizes the most important insights for a nonprofit/company audience.
Perplexity LLM provides actionable recommendations based on the analysis.
Template node merges all outputs into a clear, formatted markdown report.
Output node displays the final report to the user.
