Keenable SELECT: an agent that searches the web with SQL and returns structured reports

Keenable SELECT: an agent that searches the web in SQL

Keenable built an agent called SELECT that turns a natural-language question into multiple web searches, then uses SQL functions like SEM_EXTRACT and SEM_MATCH to pull structured fields out of unstructured pages. Every report links the full trajectory—queries, tool results, and result sets. The showcase includes over a dozen examples: AI researcher moves, YC startup name trends, US gigawatt-scale data center buildouts, zoo escapes, and more. The post doesn't disclose pricing, latency, the underlying model, or extraction accuracy numbers.

Why it matters: The product idea is clever — abstracting agent search into SQL queries with full trajectories, good information density. But Keenable isn't a major lab, lacks competitor context or user-scale data, so impact is limited, landing right at the featured threshold.