Fabric Layer
The trust layer for the agent economy
Fabric Layer launched on March 4, 2026.
What it does
Free public trust scores on every AI service, model, and MCP skill. Search 5,800+ services. Know what's safe before your agents use it. Each service is evaluated across 23 sub-signals grouped into six dimensions. Sub-signals are collected from public sources like GitHub, npm, NVD, and uptime monitors.
Free public trust scores on every AI service, model, and MCP skill. Search 5,000+ services. Know what
Free safety scores for every AI product, agent and service. Know what's safe before you use it. There's no universal safety rating for AI tools. You're left to trust the marketing, read Reddit threads, or just hope for the best. Many AI tools request access to your files, contacts, and personal data. Most people click "allow" without understanding what they're giving away. A slick landing page doesn't mean a tool is safe. Malicious AI services look identical to trustworthy ones. You can't tell the difference at afrom fabriclayer.ai
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Risk Analysis Database of Every MCP ServerFeb 2026 · mcp.armor1.ai · ▲22Hi HN, We’re building security tooling around agentic AI systems. Today, we're releasing our public MCP catalog with detailed risk analysis for every MCP server we've found on the internet: https://mcp.armor1.ai/mcp-directory We all love agents and the power that MCPs unlock: suddenly your AI assistant can query databases, manage files, call APIs, and interact with the real world. But when we started adopting MCPs ourselves, we kept running into the same nagging questions: Is this MCP safe? Where is my data actually going? Could it execute destructive actions? Is it…
CraftedTrustMar 2026 · mcp.craftedtrust.comIndependent trust scores for MCP servers and AI agent tools


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