This n8n workflow automates the process of monitoring AI model usage and associated costs, with data collection triggered manually or by other workflows. Starting with a manual trigger, the workflow retrieves execution data and AI usage statistics, then fetches current AI pricing details via an API call. It processes this data to create a summary of AI model costs, which is then logged into a Google Sheet for tracking and analysis. This setup is useful for AI service providers or organizations integrating AI APIs, enabling efficient cost management and usage monitoring in real-time or on demand.
Automation for Tracking AI Usage and Costs in Google Sheets
Node Count | 11 – 20 Nodes |
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Nodes Used | code, executeWorkflowTrigger, googleSheets, httpRequest, manualTrigger, n8n, set, stickyNote |
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