Datafold has introduced significant updates to its monitoring tools, enhancing the ability of teams to manage data quality efficiently and effectively at scale. With the release of a REST API, users can now create, manage, and operate monitors programmatically, complemented by features like custom naming, descriptions, and tagging to better organize large volumes of monitors. The platform has also improved alerting mechanisms with Recovery Notifications and the option to attach CSVs of failed records to Data Test alerts, facilitating quicker issue resolution. Additionally, Datafold has introduced more granular filtering options for metric monitors and displays both absolute and relative changes in observed metric values, providing clearer insights into data trends. Upcoming features include standard Data Tests for common data validation checks that require no SQL coding, further simplifying the process of ensuring data integrity.