Onboard your coding agent to data warehouse
Your coding agent writes good SQL but has never seen your production warehouse. Here’s how to onboard it with production context over MCP.
Scaling Agentic Query Optimization: Uncovering Deep Insights at a Fraction of the Token Cost
How a deep context graph lets an optimization agent analyze an entire query workload at a fraction of the token cost of reading raw logs.
Understand and Simplify Data Complexity II: Drive Compute Efficiency By Optimizing Query Redundancies
These patterns are what the context graph surfaces automatically today, and what agents act on through Single Origin’s MCP server. See the docs →
For data engineering teams at large enterprises, cost-efficiency
Understand and Simplify Data Complexity I: How Column Usage Unlocks Unique Insights
Column usage is one layer of the context graph Single Origin now serves to AI agents over MCP. How agents use it →
Today, data volume is exploding — along with redundancies, inefficiencies, and rising
Coinbase Optimizes Complex Snowflake Queries at Scale with Single Origin
How Coinbase moved Snowflake query rewrites from manual effort to agent-assisted work grounded in their production query history.