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Data integrity and cryptographic verification | Data Seal — 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
onereclaimprotocol.com ↗	72 match 1 shared topics	Reclaim Protocol - Cryptographic Verification for Identity, Education, Employment & Travel	en	information-and-network-security	robotsllmsaihumans	emailphone	none
onereclaimglobal.com ↗	72 match 1 shared topics	Reclaim Protocol - Cryptographic Verification for Identity, Education, Employment & Travel	en	information-and-network-security	robotsllmsaihumans	emailphone	none
7slots-protection.tech ↗	72 match 1 shared topics	Dashboard — Brand Verification & Integrity System	en	information-and-network-security	robotsllmsaihumans	emailphone	none
crysm.net ↗	70 match 1 shared topics	Cryptographic Hashing & Security Tools \| CrysM.net	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
olpprotocol.com ↗	70 match 1 shared topics	OLP Protocol \| Privacy-Preserving Location Verification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
squyr.com ↗	70 match 1 shared topics	Squyr — Bilateral Cryptographic Data Exchange	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dataspike.io ↗	69 match 1 shared topics	Identity Verification, AML & Deepfake Defense \| Dataspike	en	information-and-network-security	robots llmsaihumans	emailphone	none
dataspike.dev ↗	69 match 1 shared topics	Identity Verification, AML & Deepfake Defense \| Dataspike	en	information-and-network-security	robots llmsaihumans	emailphone	none
farewitness.com ↗	69 match 1 shared topics	FareWitness — Cryptographically Verifiable Media Capture	en	information-and-network-security	robotsllmsaihumans	emailphone	none
easykyc.net ↗	68 match 1 shared topics	Easy KYC - Secure KYC Verification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
datadiodes.net ↗	68 match 1 shared topics	Data Diodes for Confidentiality and Integrity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cypherkeep.net ↗	68 match 1 shared topics	Cypher Keep — Cryptographic Content Authentication	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bentwren.ch ↗	68 match 1 shared topics	bentwrench - Cryptography & Security Research	Switzerland en	information-and-network-security	robotsllmsaihumans	emailphone	none
apexkyc.com ↗	68 match 1 shared topics	Apex KYC - Complete KYC Verification Solution \| Identity Verification API	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
bristolcb.com ↗	68 match 1 shared topics	Security Verification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
daodeed.com ↗	68 match 1 shared topics	DAODeed Limited \| Encrypted Web3 Verification & AI Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
eoncore.net ↗	68 match 1 shared topics	future ready cryptography - Eoncore	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
hellohorizenlabs.com ↗	68 match 1 shared topics	Horizen Labs \| Verifiable Privacy Solutions	United States~ en	information-and-network-security Sanity	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.