← ArchiveyeCONTENT HISTORY
WHAT CHANGED
added
Update to Archiveye
Snapshot Oct 24, 2026 · 12:40 UTC · version 1.0.0
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.
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All fields and original values.
Is template instance
Before
Oct 2, 2026 · 12:00 UTC
Not present
After
Oct 24, 2026 · 12:40 UTC
false
Compare saved observations
Download comparison JSONFull technical diff · 1 changed fields
added /is_template_instance
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,
"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": [],
"onboarding_skill_name": null,
"requires_local_executor": false,
"skills": [],
"version": "1.0.0"
},
"scope": "GLOBAL",
"status": "ENABLED"
}SHA-256 of public snapshot: 3ec73021b6d89f7a88099e40a57b3b79c6ffc2f944c90f90ec6f85027b222e22