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Keenable SELECT

ChatGPT plugin

Research the web with SQL

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Connection
Remote

hosted by the developer

Apps SDK app
Yes

ships an in-chat UI

Movement

Over the last 30 days of daily snapshots.

Rank by placement

#3581of 3,88010places down24h584places down7d
#2,871#3,065#3,259#3,453Aug 26Aug 31Sep 5Sep 10Sep 15Sep 20

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Keenable SELECT answers a research question with one query instead of ten page reads.

Ordinary web search hands the model a list of links and leaves the reading, the extraction and the de-duplication to it. SELECT does that work inside the search. The model writes one read-only SQL statement in a DuckDB dialect; the server runs the searches in parallel, fetches the pages, pulls out the fields the query asks for with a per-row model call, removes duplicates, and returns a table.

One query can cover more than a thousand pages, filter them with ordinary SQL at no extra cost, and group them into the answer. The rows arrive as a table, not as a wall of page text, so the answer is grounded in a lot more sources than the context could hold.

Every result is saved as a result set for 30 days, so the next question can be asked of the same pages without searching again. A finished table can be published as a single HTML report, charts and all, at a link you can hand to someone.

Use it for a survey, a comparison or a ranking across many sources. It is not the tool for a quick look at one page: a query runs from seconds to minutes, because it really does search, fetch and read.

Connect your Keenable account once to enable it. Searching and fetching bill that account.

Example prompts

  • 1. Which countries have announced a national AI strategy, and in what month? Give me a table with a source URL per row.
  • 2. Compare the open-source vector databases on licence, storage backend and whether they support hybrid search
  • Publish the table you just built as an HTML report and give me the link.
Categories
Made by
Keenable.ai · Website
Version
1.0.0
Created At
August 28, 2026
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