Developed enhanced access to PJM pricing data within the gridstatus/gridstatus repository by implementing a new API method for retrieving 5-minute regulation pricing information. Leveraging Python, Pandas, and SQL, the work focused on precise data retrieval and validation, ensuring both latest and historical data could be accessed with accurate column naming. Comprehensive unit tests were introduced to maintain coverage and reliability, supporting continuous integration feedback for the new feature. This addition improved the freshness and granularity of pricing data available to users, supporting more informed pricing decisions and strengthening the overall reliability of the PJM data feed for gridstatus applications.