Sam developed autonomous USDC payment functionality for API access to paid data sources within the phidatahq/phidata repository. Leveraging Python and asynchronous programming, Sam enabled agent-based systems to pay for over 100 data sources, supporting enrichment, web scraping, and media generation tasks. The solution featured real-time cost tracking, per-source attribution, and a Learning Machine for spend optimization, all governed by production controls and per-member wallets. Sam validated the system through live-wallet tests, ensuring robust wallet operations and reliable cost attribution. This work demonstrated depth in API integration and data analysis, delivering automated, governed access to paid data for agent workflows.