← Keenable SELECTCONTENT HISTORY

Update to Keenable SELECT

Snapshot Oct 24, 2026 · 13:03 UTC · version 1.0.0

WHAT CHANGED

Package or technical metadata updated

Package or technical metadata updated

Observed in package metadata. These changes alone do not establish a new customer-facing feature.

Save Keenable SELECT and check future changes in Following.

Up to 10 plugins free · no card required.

All fields and original values.

Is template instance

Before

Sep 30, 2026 · 23:00 UTC

Not present

After

Oct 24, 2026 · 13:03 UTC

false

Compare saved observations

Download comparison JSON
Full technical diff · 1 changed fields

added /is_template_instance

BEFORE
Field was absent
AFTER
false
Full snapshot data
{
  "canonical_app_id": "asdk_app_6a91a85bf4a08191af8367df88e7f0c8",
  "connector_id": "asdk_app_6a91a85bf4a08191af8367df88e7f0c8",
  "created_at": "2026-08-28T15:25:16.267751Z",
  "discoverability": "LISTED",
  "id": "plugin_asdk_app_6a91a85bf4a08191af8367df88e7f0c8",
  "is_template": false,
  "is_template_instance": false,
  "name": "app-6a91a85bf4a08191af8367df88e7f0c8",
  "release": {
    "app_ids": [
      "asdk_app_6a91a85bf4a08191af8367df88e7f0c8"
    ],
    "app_manifest": {
      "apps": {
        "app-6a91a85bf4a08191af8367df88e7f0c8": {
          "id": "asdk_app_6a91a85bf4a08191af8367df88e7f0c8",
          "required": true
        }
      }
    },
    "app_templates": [],
    "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.",
    "display_name": "Keenable SELECT",
    "id": "pluginrel_9ec9e12c6b7c8191b8c1f4b2d6b6bf2d",
    "interface": {
      "brand_color": null,
      "capabilities": [],
      "category": "Data & Analytics",
      "composer_icon_dark_url": "https://files.openai.com/content?id=file_0000000009b881f4b73aab86cc004802",
      "composer_icon_url": "https://files.openai.com/content?id=file_0000000009b881f4b73aab86cc004802",
      "default_prompt": "1. Which countries have announced a national AI strategy, and in what month? Give me a table with a source URL per row.",
      "default_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."
      ],
      "developer_name": "Keenable.ai",
      "logo_url": "https://files.openai.com/content?id=file_0000000081a0821191e405ad84b2d4f4",
      "logo_url_dark": "https://files.openai.com/content?id=file_0000000081a0821191e405ad84b2d4f4",
      "long_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.",
      "plugin_category_id": "data & analytics",
      "privacy_policy_url": "https://keenable.ai/privacy",
      "screenshot_urls": [],
      "short_description": "Research the web with SQL",
      "terms_of_service_url": "https://keenable.ai/terms",
      "website_url": "https://keenable.ai"
    },
    "keywords": [],
    "mcp_servers": [],
    "onboarding_skill_name": null,
    "requires_local_executor": false,
    "skills": [],
    "version": "1.0.0"
  },
  "scope": "GLOBAL",
  "share_url": "https://chatgpt.com/plugins/plugin_asdk_app_6a91a85bf4a08191af8367df88e7f0c8?open_in_app",
  "status": "ENABLED"
}

SHA-256 of public snapshot: 29556b73633ab47b027bae4e18369f22c7396d7a38fc40f94610e8e43c054fd9