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SchemaPin — Cryptographic Tool Verification for AI Agents & MCP Servers — 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 Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
skillspin.org ↗	100 match 2 shared topics	SchemaPin — Cryptographic Tool Verification for AI Agents & MCP Servers	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentoath.ai ↗	74 match 2 shared topics	AgentOath — Cryptographic Trust for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentpin.dev ↗	74 match 2 shared topics	AgentPin — Domain-anchored cryptographic identity for AI agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentpki.dev ↗	72 match 2 shared topics	AgentPKI — cryptographic identity for AI agents on the public internet	en	information-and-network-security	robotsllmsaihumans	emailphone	none
advanced-consulting.london ↗	72 match 2 shared topics	ZKAP \| Cryptographic Verification of Formalized Rules for AI Systems	en	information-and-network-security	robots llmsaihumans	email phone	none
agentverus.ai ↗	71 match 2 shared topics	AgentVerus — Trust Certification for AI Agent Skills \| AGENTVERUS	en	information-and-network-security	robots llmsaihumans	emailphone	none
depguard.dev ↗	69 match 2 shared topics	depguard — MCP Security Server for AI Coding Agents	en	information-and-network-security	robots llmsaihumans	emailphone	none
agentrux.com ↗	69 match 2 shared topics	AgenTrux — The Secure Communication Layer for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
sirr.dev ↗	68 match 2 shared topics	Ephemeral Secret Vault for AI Agents & DevOps	en	information-and-network-security	robotsllmsaihumans	emailphone	none
smartpolicy.io ↗	68 match 2 shared topics	SmartPolicy — Runtime authorization for AI agents and smart contracts	en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 8
1id.com ↗	68 match 2 shared topics	1id.com — Hardware-Backed Identity for AI Agents & Relying Parties	en	information-and-network-security	robots llmsaihumans	emailphone	none
myfortunecookie.co.uk ↗	68 match 2 shared topics	ai.wot — Web of Trust for AI Agents	United Kingdom en	artificial-intelligence	robotsllmsaihumans	emailphone	none
agentsifted.com ↗	68 match 2 shared topics	AgentSifted - The Trust Exchange for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
skillscan.dev ↗	68 match 2 shared topics	SkillScan - Security Scanner for AI Agent Skills	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentcyberai.com ↗	68 match 2 shared topics	AI Cybersecurity Tools Review \| VAPT Services & Custom AI Agents \| Agent CyberAI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcpskills.io ↗	68 match 2 shared topics	MCP Skills — Pre-Install Trust Layer for MCP Servers	en	information-and-network-security	robots llmsaihumans	emailphone	none
skvault.dev ↗	68 match 2 shared topics	SKVault — skscan: Security Scanner for AI Agent Skills	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
mcptrail.com ↗	67 match 2 shared topics	MCP firewall & security gateway for AI agents \| MCP Trail	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8

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.