.codex-plugin/plugin.json

{
  "apps": "./.app.json",
  "author": {
    "name": "Keenable.ai"
  },
  "description": "Keenable SELECT answers a research question with one query instead of ten page reads.\n\nOrdinary 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.\n\nOne 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.\n\nEvery 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.\n\nUse 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.\n\nConnect your Keenable account once to enable it. Searching and fetching bill that account.",
  "interface": {
    "capabilities": [],
    "category": "Data & Analytics",
    "defaultPrompt": [
      "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."
    ],
    "developerName": "Keenable.ai",
    "displayName": "Keenable SELECT",
    "longDescription": "Keenable SELECT answers a research question with one query instead of ten page reads.\n\nOrdinary 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.\n\nOne 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.\n\nEvery 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.\n\nUse 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.\n\nConnect your Keenable account once to enable it. Searching and fetching bill that account.",
    "privacyPolicyURL": "https://keenable.ai/privacy",
    "shortDescription": "Research the web with SQL",
    "supportURL": "https://keenable.ai/support",
    "termsOfServiceURL": "https://keenable.ai/terms",
    "websiteURL": "https://keenable.ai"
  },
  "name": "app-6a91a85bf4a08191af8367df88e7f0c8",
  "version": "1.0.0"
}