API pagination is a method of dividing large datasets into smaller, manageable parts, or 'pages', to improve data accessibility and efficiency, particularly when dealing with substantial data volumes. The text explores various pagination methods, such as cursor, offset, keyset, seek, time-based, and page number pagination, each with unique techniques to track data positions, optimize server loads, and enhance user experiences. It highlights the challenges of integrating these diverse methods into a unified model, especially when scaling applications and managing large data volumes while maintaining performance and managing API rate limits. Moreover, the text introduces Merge, an integration platform that simplifies pagination across multiple APIs by using a unified cursor pagination model, thereby alleviating the complexities of diverse pagination techniques and offering additional functionalities like handling rate limits and providing unified Common Data Models.