Snowflake Agent
Query and monitor your Snowflake Data Cloud with natural language — no SQL required.
What it does
The Snowflake agent makes your entire Data Cloud conversational. Multi-cluster warehouses, data sharing, time travel, zero-copy clones — the agent understands Snowflake's unique architecture and translates business questions into efficient queries. Monitor credit consumption, warehouse utilization, and query patterns while giving every team member self-serve access to data.
Why a supervised agent — not a raw connector?
Key Capabilities
How It Works
Connect
Provide your Snowflake account URL and credentials. The agent catalogs databases, schemas, and access roles.
Configure
Set credit budgets, define queryable databases, and configure role-based access policies.
Ask
Ask data questions from the Personal Assistant. The agent picks the right warehouse and writes optimized queries.
Improve
Learns your naming conventions, common joins, and cost patterns for increasingly efficient queries.
Use Cases
Business teams querying shared datasets without SQL
FinOps monitoring Snowflake credit spend by warehouse and team
Data engineers analyzing query patterns and warehouse sizing
Compliance teams auditing data access and sharing policies
Invoked from your Personal AI Assistant
Users never interact with this agent directly. They ask a question through their Personal AI Assistant, and xpander routes it to the Snowflake agent automatically. The specialized agent handles execution within its constrained surface — validated, auditable, and isolated from every other system. One question in, structured answer out.