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qURL: The Universal Access Layer for Humans and AI Agents — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
meetaembitteam.org ↗	68 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
meetaembit.org ↗	68 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
connectaembit.com ↗	68 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
hexaeight.com ↗	68 match 2 shared topics	HexaEight - Cryptographic Identity for AI Agents, Humans, and Machines	India~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
policylayer.com ↗	67 match 2 shared topics	PolicyLayer \| Policy Gateway for AI Agent Tool Calls	en	information-and-network-security	robots llmsaihumans	emailphone	none
landofagents.com ↗	67 match 2 shared topics	Land of Agents — Least privilege for AI agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
heyclarm.com ↗	67 match 2 shared topics	Clarm - Governed AI agents for regulated teams	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ethraeon.ai ↗	67 match 2 shared topics	ETHRAEON \| Constitutional runtime and evidence control layer for human-anchored intelligence	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
etxcyberagentic.com ↗	67 match 2 shared topics	ETX CyberOps \| AI Agents for Security Firms	en	information-and-network-security	robotsllmsaihumans	emailphone	none
etxcyberagent.com ↗	67 match 2 shared topics	ETX CyberOps \| AI Agents for Security Firms	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
astrix.security ↗	66 match 2 shared topics	Identity Security for AI Agents & NHIs \| Astrix Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
mcpskills.io ↗	66 match 2 shared topics	MCP Skills — Pre-Install Trust Layer for MCP Servers	en	information-and-network-security	robots llmsaihumans	emailphone	none
mcpswitchboard.com ↗	66 match 2 shared topics	Switchboard by ZeroArc \| Governed MCP Gateway for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
letsping.co ↗	66 match 2 shared topics	LetsPing \| Secure your AI agents. Firewall, HITL and agent identity.	Colombia en	information-and-network-security	robots llmsaihumans	emailphone	none
owlshield.ai ↗	66 match 2 shared topics	OwlShield - Secure Your AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcptrail.com ↗	66 match 2 shared topics	MCP firewall & security gateway for AI agents \| MCP Trail	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
ethira.dev ↗	66 match 2 shared topics	AI Accountability Platform \| Shadow AI Discovery and Agent Governance \| Ethira	Sweden~ en	information-and-network-security	robots llms aihumans	emailphone	none
1id.com ↗	65 match 2 shared topics	1id.com — Hardware-Backed Identity for AI Agents & Relying Parties	en	information-and-network-security	robots llmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.