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IDSentric | Scalable, Secure Identity Verification API for Developers — 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
accurascan.com ↗	72 match 2 shared topics	Identity Verification Services & Digital KYC \| Accura Scan	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kycproai.com ↗	72 match 2 shared topics	kycproai \| AI-Powered Identity Verification	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aiidentity.org ↗	70 match 2 shared topics	AI Identity — the verification standard for AI on the open web	en	information-and-network-security	robots llmsaihumans	emailphone	none
acutis.dev ↗	69 match 2 shared topics	Acutis — Security Verification for AI Coding Assistants	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
sudoviz.com ↗	68 match 2 shared topics	Gaussian \| AI agent runtime security for developer workstations	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
clawid.dev ↗	68 match 2 shared topics	ClawID - Verification for AI Agent Skills	en	information-and-network-security	robotsllmsaihumans	emailphone	none
clawforce.net ↗	68 match 2 shared topics	ClawForce — Verification API for the Agent Economy	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
strivacity.com ↗	68 match 2 shared topics	Identity Security for Digital Brands \| Strivacity	United States~ en	artificial-intelligence	robots llmsaihumans	email phone	none
agentkyc.io ↗	68 match 2 shared topics	AgentKYC — Identity Foundation for Autonomous Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
a0.ai ↗	68 match 2 shared topics	Secure AI Agent & User Authentication \| Auth0	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
agent-trust.org ↗	67 match 2 shared topics	Agent Trust — Trust Resolution and Verification Infrastructure for Autonomous Agents	en	artificial-intelligence	robots llmsaihumans	emailphone	none
4tress.org ↗	67 match 2 shared topics	4tress.org — Decentralized Identity for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
agentids.org ↗	67 match 2 shared topics	Agent Identity (AID) - Authentication & Authorization for AI Agents \| Open Source	en	artificial-intelligence	robots llmsaihumans	emailphone	none
downtime.dev ↗	67 match 2 shared topics	Teleport: Unified Identity Securing Classic & AI Infrastructure \| Teleport	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
clientverify.ai ↗	67 match 2 shared topics	ClientVerify.ai — Secure Digital Opening Packages	en	information-and-network-security	robotsllmsaihumans	emailphone	none
labspangea.com ↗	66 match 2 shared topics	Pangea \| Security Guardrails for AI Applications	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
pangeadeveloper.com ↗	66 match 2 shared topics	Pangea \| Security Guardrails for AI Applications	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
pangeacoder.com ↗	66 match 2 shared topics	Pangea \| Security Guardrails for AI Applications	en	artificial-intelligence	robotsllmsaihumans	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.