What features does Coral offer?
Coral offers a unified SQL interface for querying across sources, automatic handling of auth, pagination, rate limits, and schema mapping. It includes a CLI for connecting sources, support for queries via MCP (Model Context Protocol), and a semantic context system that learns relationships and schema hints from every query. It also provides a cache, as shown by a 73% cache hit rate in an example.
How is Coral priced or packaged?
The provided evidence does not specify the pricing or packaging details for Coral. The homepage includes a link to 'Product Pricing', but the actual pricing information is not included in the evidence text.
What is Coral and what problem does it solve?
Coral is a data engine for enterprise AI that provides a unified SQL interface for querying data across multiple systems. It solves the problem of efficiently and accurately accessing governed data from various sources like APIs, databases, and files, enabling AI agents to retrieve data with token efficiency and accuracy. The product is designed for enterprise use cases requiring cross-system data access.
What is Coral used for and in what situations?
Coral is used to turn every data source into a queryable table and join them using SQL. It is used in situations where AI agents or developers need to retrieve, combine, and analyze data from disconnected SaaS and internal systems for tasks like incident analysis or cross-application queries. Examples include correlating PagerDuty incidents with GitHub pull requests or linking Slack messages with Linear issues.
Who is Coral for?
Coral is for enterprises and developers who need to provide AI agents with governed access to data across their SaaS and internal systems. It is designed for teams building or using AI frameworks and agents that require efficient and accurate data retrieval, as indicated by its categorization as a Developer & AI Platform.
What is Coral?
Coral is the data engine for enterprise AI, providing one SQL connection for agents to get governed access to data across all SaaS and internal systems. It is the most token efficient and accurate way for any agent to retrieve data from APIs, databases, and internal systems.