Keenable SELECT turns a plain question into a cited table built from the live web

Asked:

“What is Keenable's new Select feature”

Five independent descriptions — Keenable's blog and documentation plus three outside write-ups on five separate hosts — agree on what SELECT is: a research agent and MCP server that treats the web like a database, returning structured, cited rows instead of a wall of page text. MCP is the connector protocol that lets AI clients such as ChatGPT or Claude call the service.

The pipeline every source describes, from question to cited answer. Hover a stage for the sources' own wording.

The user never writes the query: the connected AI model composes one read-only SQL SELECT in a DuckDB dialect on the user's behalf — docs.keenable.ai

One call can search more than 1,000 pages, filter with a WHERE clause at no LLM cost, and extract fields with one small model call per row, according to the outside write-up — gokawiil.com

Keenable frames the goal as getting the whole distribution — the tail of the web — rather than the handful of documents a normal search surfaces — keenable.ai

Result sets are saved with an id for follow-up queries, and a finished table can be published as a shareable HTML report with charts, per the Claude connector listing — agentdiscoverability.com

What each source says

Source	What it is	How it works	Capabilities	Output

Method: 5 descriptions of Keenable SELECT from 5 distinct URLs on 5 independent hosts; no URL supplies more than 1 row (20% of the set). Each cell quotes one source's summary; scale claims (e.g. 1,000+ pages per call) are the source's own. Checked 2026-09-10.

This report was generated automatically by Keenable SELECT at a user's request, from publicly available web sources linked herein. Keenable does not review, verify, or endorse its contents and makes no representation as to accuracy, completeness, or timeliness; AI-based extraction may contain errors. Nothing in this report is investment, legal, financial, or other professional advice. All trademarks and referenced content remain the property of their respective owners; no affiliation or endorsement is implied. To report an error, rights concern, or request removal: legal@keenable.ai.