Dataherald provides enterprise-grade text-to-SQL infrastructure designed for production deployment rather than ad-hoc querying. The platform offers a REST API for embedding natural language query capabilities into existing applications, with features including confidence scoring for generated queries, automatic query validation, error handling and retry logic, and usage analytics. The system learns from corrections to improve accuracy over time. Supports PostgreSQL, MySQL, SQL Server, BigQuery, Snowflake, and Redshift. Enterprise features include multi-tenant architecture, custom model fine-tuning, SLA guarantees, and dedicated support. The API-first approach distinguishes Dataherald from UI-focused tools, making it suitable for product teams building data features into applications. Page should cover: API documentation overview, confidence scoring interpretation, learning from corrections mechanism, production deployment best practices, pricing model, and comparison with self-hosted alternatives.