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hoop.dev | Accelerate your AI agents. One gateway to every data source. — 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
hoop.dev ↗	85 match shared topic	hoop.dev \| Accelerate your AI agents. One gateway to every data source.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
snyk.io ↗	60 match shared topic	Snyk AI Security Fabric \| Secure Code, Models & Agents \| Snyk	en	information-and-network-security	robotsllmsaihumans	emailphone	none
snyk.co ↗	60 match shared topic	Snyk AI Security Fabric \| Secure Code, Models & Agents \| Snyk	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	none
trmlabs.com ↗	60 match shared topic	TRM Labs \| Agents and intelligence to fight crime	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
aiincidents.org ↗	60 match shared topic	AI Incidents — Dated, Sourced AI Failure Catalog	en	information-and-network-security	robots llmsaihumans	emailphone	none
wallarm.com ↗	60 match shared topic	Wallarm \| AI Control Platform — Secure Every AI Workload	United States~ en	artificial-intelligence Webflow	robotsllmsaihumans	emailphone	none
moltaicorp.com ↗	60 match shared topic	Molt AI \| Adversarial Testing and Assurance for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lakera.ai ↗	60 match shared topic	Lakera: The AI-Native Security Platform to Accelerate GenAI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
adversa.ai ↗	60 match shared topic	Adversa AI - AI Red Teaming for Agents, LLMs & GenAI Apps	en	artificial-intelligence WordPress WooCommerce	robots llmsaihumans	emailphone	none
agentpin.org ↗	60 match shared topic	AgentPin — Domain-anchored cryptographic identity for AI agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
schemapin.org ↗	60 match shared topic	SchemaPin — Cryptographic Tool Verification for AI Agents & MCP Servers	en	information-and-network-security	robotsllmsaihumans	emailphone	none
techaro.lol ↗	55 match shared topic	Techaro — Security Software & AI Consultancy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
onetrust.com ↗	55 match shared topic	Responsible AI Governance & Compliance Solutions \| OneTrust	United States~ en	artificial-intelligence Adobe Experience Manager	robotsllmsaihumans	emailphone	none
hcaptcha.com ↗	55 match shared topic	hCaptcha - Stop bots and human abuse.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
akismet.com ↗	55 match shared topic	Akismet – Spam Protection for Websites	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
hackerone.com ↗	55 match shared topic	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
okta.com ↗	55 match shared topic	Secure Identity for Employees, Customers, and AI \| Okta	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
auth0.com ↗	55 match shared topic	Secure AI Agent & User Authentication \| Auth0	United States~ en	artificial-intelligence	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.