Track commodity prices using a webhook to Google Sheets

• Automate the logging of commodity prices for financial analysis.
• Integrate real-time data capture from various sources into a centralized location.
• Utilize AI for enhanced data processing and insights generation.

Webhook captures incoming commodity price data. Data is split into manageable chunks for processing. Embeddings are generated for efficient data storage. Processed data is stored in a Redis vector store. Final results are logged into Google Sheets for easy access.

1. 1
   Import the Commodity Price Tracker workflow template.
2. 2
   Configure the webhook URL to receive commodity price data.
3. 3
   Set up Redis and Google Sheets credentials.
4. 4
   Test the webhook to ensure data is captured correctly.
5. 5
   Monitor the Google Sheets for logged commodity prices.