Product
ntfy
by ntfy LLC
- Product website
- https://ntfy.sh
- Documentation
- https://docs.ntfy.sh/
- Categories
- Push Notifications
Description
HTTP-based pub-sub notification service for sending push notifications to phones or desktops via scripts and a REST API.
AI-native score
How ready this product is for agents to use, on a 0–100 scale across four weighted dimensions. Security is one of them, so a high score is not a substitute for your own security or vendor-risk review. How is this scored?
Unrated. Only 12% of the scored decision fields are researched, so the grade is held until more are confirmed. The breakdown below shows what's been scored.
| Component | Raw | Weight | Contribution |
|---|---|---|---|
| Integration | 1/10 | 35% | 3.5 |
| Trust | 0/6 | 30% | 0.0 |
| Portability | 2/4 | 20% | 10.0 |
| Security | 0/4 | 15% | 0.0 |
Signals that fired
- Integration: Command-line interface (+1)
- Portability: Self-hostable (+1) ; Open source (+1)
Signals not researched
These gaps cover the fields used in the AI-native score.
- Integration surfaces: llms.txt, WebMCP, Headless signup, MCP servers, Agent2Agent (A2A) servers, Native connectors, API specs, Agent skills, Developer kits
- Trust & data policy: Trust center, Multi-factor authentication, Zero data retention, No generative AI training, Hard budget caps, Sandbox environment, Data export, Data import, Open standards, Standard protocol access, No proprietary-SDK lock-in, Documented provider swap
- Security & compliance: Compliance certifications, Access controls
Trust & data policy
- Self-hostable
- Yes
- Open source
- Yes
- Source code
- https://github.com/binwiederhier/ntfy
- Self-hosting guide
- https://docs.ntfy.sh/install/
Not yet researched Trust center, Multi-factor authentication, Zero data retention, No generative AI training, Hard budget caps, Sandbox environment, Data export, Data import, Open standards, Standard protocol access, No proprietary-SDK lock-in, Documented provider swap
Integration surfaces
How an agent connects to this product and finds its documentation. The largest dimension of the AI-native score (35%).
Command-line interfaces
Not yet researched llms.txt, WebMCP, Headless signup, MCP servers, Agent2Agent (A2A) servers, Native connectors, API specs, Agent skills, Developer kits
Offers
No offers recorded.
Reviews
No approved reviews yet.
Catalog activity
Track how this entry changes as proposals are opened and merged.
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Ready to decide?
Unrated · 12% researched. Grade withheld until more fields are verified.