← EnterpretCONTENT HISTORY
WHAT CHANGED
added
Update to Enterpret
Snapshot Oct 27, 2026 · 00:19 UTC · version 2.0.0
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 v2 template
Before
Oct 24, 2026 · 13:02 UTC
Not present
After
Oct 27, 2026 · 00:19 UTC
false
Compare saved observations
Download comparison JSONFull technical diff · 1 changed fields
added /is_v2_template
BEFORE
Field was absent
AFTER
false
Full snapshot data
{
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"connector_id": "asdk_app_6a0b6f15203881919f5b90e74321fb24",
"created_at": "2026-06-23T03:36:41.749125Z",
"discoverability": "LISTED",
"id": "plugin_asdk_app_6a0b6f15203881919f5b90e74321fb24",
"is_template": false,
"is_template_instance": false,
"is_v2_template": false,
"name": "app-6a0b6f15203881919f5b90e74321fb24",
"release": {
"app_ids": [
"asdk_app_6a0b6f15203881919f5b90e74321fb24"
],
"app_manifest": {
"apps": {
"app-6a0b6f15203881919f5b90e74321fb24": {
"id": "asdk_app_6a0b6f15203881919f5b90e74321fb24",
"required": true
}
}
},
"app_templates": [],
"description": "Enterpret helps teams understand what customers are saying across support tickets, sales calls, app reviews, surveys, Slack, and more. Ask natural-language questions to find complaint trends, feature requests, segment-specific patterns, and direct customer quotes. Results are grounded in your customer context graph and include links back to source records so product, GTM, and leadership teams can act with context.",
"display_name": "Enterpret",
"id": "pluginrel_62f9c944eda88191b4c1608510651970",
"interface": {
"brand_color": null,
"capabilities": [],
"category": "Business & Operations",
"composer_icon_dark_url": null,
"composer_icon_url": null,
"default_prompt": null,
"default_prompts": null,
"developer_name": "Enterpret Inc",
"logo_url": "https://files.openai.com/content?id=file_00000000fd5872089ccb95da96c904a0",
"logo_url_dark": null,
"long_description": "Enterpret helps teams understand what customers are saying across support tickets, sales calls, app reviews, surveys, Slack, and more. Ask natural-language questions to find complaint trends, feature requests, segment-specific patterns, and direct customer quotes. Results are grounded in your customer context graph and include links back to source records so product, GTM, and leadership teams can act with context.",
"plugin_category_id": "business & operations",
"privacy_policy_url": "https://www.enterpret.com/privacy-and-policy",
"screenshot_urls": [],
"short_description": "Connect Customer Intelligence",
"terms_of_service_url": "https://www.enterpret.com/terms",
"website_url": "https://www.enterpret.com"
},
"keywords": [],
"mcp_servers": [],
"onboarding_skill_name": null,
"requires_local_executor": false,
"skills": [],
"version": "2.0.0"
},
"scope": "GLOBAL",
"share_url": "https://chatgpt.com/plugins/enterpret?open_in_app",
"status": "ENABLED"
}SHA-256 of public snapshot: e36ff866eb8d4963d68d2b25545a5a0884d266e134f70b25ab94f2f21aa2a44d