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Parafe alternatives & similar sites

Parafé — Brokered trust for online 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 Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
hbx-labs.com ↗	66 match 1 shared topics	HBX Labs — Deterministic governance for embedded systems & autonomous agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
useanchorbrowser.com ↗	66 match 1 shared topics	Anchor - Secure Infrastructure for Computer Use Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
useopenoriginsapp.com ↗	66 match 1 shared topics	OpenOrigins - Digital Media Verification and Trust Layer for the Internet	en	information-and-network-security	robotsllmsaihumans	emailphone	none
useopenorigins.com ↗	66 match 1 shared topics	OpenOrigins - Digital Media Verification and Trust Layer for the Internet	en	information-and-network-security	robots llmsaihumans	emailphone	none
4signature.com ↗	66 match 1 shared topics	Creating Trust In A Digital World	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
accessopenorigins.com ↗	66 match 1 shared topics	OpenOrigins - Digital Media Verification and Trust Layer for the Internet	en	information-and-network-security	robots llmsaihumans	emailphone	none
joinanchorbrowser.com ↗	66 match 1 shared topics	Anchor - Secure Infrastructure for Computer Use Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
joinopenorigins.com ↗	66 match 1 shared topics	OpenOrigins - Digital Media Verification and Trust Layer for the Internet	en	information-and-network-security	robots llmsaihumans	emailphone	none
joinopenoriginslive.com ↗	66 match 1 shared topics	OpenOrigins - Digital Media Verification and Trust Layer for the Internet	en	information-and-network-security	robots llmsaihumans	emailphone	none
pointlantern.com ↗	66 match 1 shared topics	Point Lantern — Trust, made provable.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
usemedusa.io ↗	66 match 1 shared topics	Sigil Browser — Secure Browser Agent for Enterprise	en	information-and-network-security	robotsllmsaihumans	emailphone	none
awiki.ai ↗	66 match 1 shared topics	Awiki — DID Identity & Encrypted Inbox for Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
luneguard.com ↗	66 match 1 shared topics	LuneGuard — Security for the New Agentic Architecture	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dentity.com ↗	66 match 1 shared topics	Dentity \| Identity infrastructure for people, enterprises, and agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
joindentity.com ↗	66 match 1 shared topics	Dentity \| Identity infrastructure for people, enterprises, and agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
needera.io ↗	66 match 1 shared topics	needera — Portable Trust Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pkroot.com ↗	66 match 1 shared topics	PKRoot - Public Key Infrastructure and Root of Trust \| pkroot.com	en	information-and-network-security	robotsllmsaihumans	emailphone	none
portagecybertech.com ↗	66 match 1 shared topics	Portage CyberTech \| Building Digital Trust for Governments and Regulated Sectors	en	information-and-network-security WordPress WooCommerce	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.