Google Cloud has launched the Conversational Analytics API, enabling developers to integrate natural language querying into custom applications and workflows. This API leverages Google's AI and Looker's semantic layer to provide accurate data insights via chat interfaces. Users can interact with BigQuery or Looker data directly within their existing applications, improving accessibility to information. The API supports various tools, including text-to-SQL, code interpreters, and charting, all powered by Gemini models. It aims to simplify complex data analysis by allowing users to ask questions in plain language. The API offers an agentic architecture for flexible configurations and efficient data querying. It also prioritizes context retrieval, using AI-assisted methods to enhance agent understanding of business data. Developers benefit from a low maintenance burden due to Google's continuous AI advancements. Enterprise-grade security and governance are built-in, including access controls and query limitations. The Conversational Analytics API is now available in public preview, with documentation and resources provided to help developers get started.