← ArchiveyeCONTENT HISTORY

Update to Archiveye

Snapshot Oct 27, 2026 · 00:35 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 Archiveye and check future changes in Following.

Up to 10 plugins free · no card required.

All fields and original values.

Is v2 template

Before

Oct 24, 2026 · 13:19 UTC

Not present

After

Oct 27, 2026 · 00:35 UTC

false

Compare saved observations

Download comparison JSON
Full technical diff · 1 changed fields

added /is_v2_template

BEFORE
Field was absent
AFTER
false
Full snapshot data
{
  "canonical_app_id": "asdk_app_6a8d8c8cdc388191aaaa384addb78ddb",
  "connector_id": "asdk_app_6a8d8c8cdc388191aaaa384addb78ddb",
  "created_at": "2026-08-25T12:37:33.172782Z",
  "discoverability": "LISTED",
  "id": "plugin_asdk_app_6a8d8c8cdc388191aaaa384addb78ddb",
  "is_template": false,
  "is_template_instance": false,
  "is_v2_template": false,
  "name": "app-6a8d8c8cdc388191aaaa384addb78ddb",
  "release": {
    "app_ids": [
      "asdk_app_6a8d8c8cdc388191aaaa384addb78ddb"
    ],
    "app_manifest": {
      "apps": {
        "app-6a8d8c8cdc388191aaaa384addb78ddb": {
          "id": "asdk_app_6a8d8c8cdc388191aaaa384addb78ddb",
          "required": true
        }
      }
    },
    "app_templates": [],
    "description": "ArchivEye lets authenticated users discover their active knowledge base collections, search indexed documents with semantic or full-text retrieval, inspect document metadata, query structured tabular datasets with read-only SQL, and load full document text when search previews are not enough. Semantic search generates query embeddings through ArchivEye's self-hosted embedding service before retrieving matching chunks from the user's private collections.",
    "display_name": "Archiveye",
    "id": "pluginrel_b9a6bbe4b8508191a1ce649d2dd33dc7",
    "interface": {
      "brand_color": null,
      "capabilities": [],
      "category": "Productivity",
      "composer_icon_dark_url": "https://files.openai.com/content?id=file_00000000a814820ab165df5951e5b03b",
      "composer_icon_url": "https://files.openai.com/content?id=file_00000000a814820ab165df5951e5b03b",
      "default_prompt": "Find info about this in our knowledge",
      "default_prompts": [
        "Find info about this in our knowledge",
        "Where can I find this information in our knowledge"
      ],
      "developer_name": "Pura Digital",
      "logo_url": "https://files.openai.com/content?id=file_00000000c68082108a0c74d0068c2ead",
      "logo_url_dark": "https://files.openai.com/content?id=file_00000000c68082108a0c74d0068c2ead",
      "long_description": "ArchivEye lets authenticated users discover their active knowledge base collections, search indexed documents with semantic or full-text retrieval, inspect document metadata, query structured tabular datasets with read-only SQL, and load full document text when search previews are not enough. Semantic search generates query embeddings through ArchivEye's self-hosted embedding service before retrieving matching chunks from the user's private collections.",
      "plugin_category_id": "productivity",
      "privacy_policy_url": "https://data.archiveye.ai/privacy",
      "screenshot_urls": [],
      "short_description": "Search knowledge bases",
      "terms_of_service_url": "https://data.archiveye.ai/terms",
      "website_url": "https://www.archiveye.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_6a8d8c8cdc388191aaaa384addb78ddb?open_in_app",
  "status": "ENABLED"
}

SHA-256 of public snapshot: a5f7590b5a85783a5762d9ca8b2cf854939b8b608f3c8ffd94c65e668b155a97