Enables natural-language querying of PostgreSQL databases with schema grounding and self-correcting error recovery. Provides a live audit trace and verifies results through exploratory decomposition and empty-result sanity checks.
Provides a guarded semantic layer for text-to-SQL, offering tools for schema discovery, semantic profiling, and query verification to enable safe and reliable SQL generation on enterprise databases.
Enables natural-language querying of SQLite databases through a governed semantic layer, with citations and typed abstention for PII or uncertified data.
Enables natural language querying of Microsoft Fabric Data Warehouses with intelligent SQL generation, metadata exploration, and business-friendly result summarization. Features two-layer architecture with MCP-compliant server and agentic AI reasoning for production-ready enterprise data access.
Enables natural language querying of OLAP/SSAS cubes with verified MDX generation, self-consistency checks, and honest abstention when queries are ambiguous.
