
Canonical End Points

Web3 Gateways

Agentic AI Provision




Baltic.Website
Indexing Baltic Canonical End Points
Estonia.1, Latvia.1, Lithuania.1
Because AI systems do not “browse,” the historical .com advantage largely collapses. Instead, concept purity and canonical endpoints dominate. Because AI systems do not “browse” in the human sense, historical .com SEO advantages diminish. Concept purity and canonical endpoints become critical for discovery by AI agents.
Web3Gateways complements existing Web3 infrastructure gateways (e.g., blockchain/IPFS gateways) by adding an agent-oriented, canonical endpoint layer for structured service access.
Things are changing in the AI era with discovery being increasingly being done by AI. AI Agents use Canonical Endpoints to discover sites on the web.
Web3 Gateways are entry points that resolve Prime Domains into canonical endpoints, enabling discovery, verification, and invocation of AI agents and Web3 services. Prime Domains act as the branded identity layer for each endpoint
The Baltic.Website Web3 Gateways will provide a next-generation dual-stack Web2/Web3 Dual Stack domain infrastructure enabling organizations to do things that include:
Canonical End Points Provision
The Baltic.Website Web3Gateways Programme is a canonical routing layer that makes verifiable Web3 and AI services discoverable and callable as stable execution endpoints. across Web2 and Web3. The Programme will provide the canonical Web 3 gateways.Use of Web3 Domains as Canonical AI agent endpoints
AI systems do not “browse domains” the way humans do. They reference Canonical Endpoint identities. Prime Generic Web3 Domains provide such identities.Web3 is the new iteration of the Internet, that adds additional dimensions to the familiar Internet. Prime domain names double as branded marketing endpoints and as deployment namespaces for specific verticals. As part of an Agentic AI Programme, they will provide Gateways to Web3 via Web3Gateways.com
Traditional Search works well if the primary value is finding things. However, Web3Gateways.com signals:
What people expect:
This is the layer where infrastructure is invoked, not content. It aligns with stable endpoints, agent-to-agent calls, and dual-stack Web2/Web3 routing.
Web3 Domains are the Gateways to Web3 capabilities
For agentic ecosystems, gateway is the correct model. It defines where the canonical call lives. If an autonomous AI agent sees: “Call canonical agents via Web3Gateways” , it infers that this is the place you invoke:
Dual-Stack Agentic AI Architecture
(Web2 Domain) + (Prime) Web3 Domain
This reflects how the internet is actually evolving:
How Dual-Stack Programmes Work
A) Web2 Layer — Web2 Domain (Adoption Layer)The Web2 Domain is the primary public interface that is Universally resolvable. The Web2 domain serves human-oriented functions, including:
In practice, this is where money changes hands.
B) Web3 Layer — Web3 Domain (Canonical AI Endpoint)
The Web3 Domain is not positioned as a consumer website. It is positioned as the canonical AI identity
Functions
Why Prime Generic Web 3 Domains matter

How the Two Work Together
(Practical Flow)
Best Uses for Web3 Domains
Web2 Domains are best used by humans. Web3 Domains are best used by AI Agents and AI Systems. Uses of Web3 Domains in this regard include:This is what justifies its valuation.
About Agentic AI
At its core, agentic artificial intelligence (AI) refers to the use of AI – normally “generative AI” – to create and execute automation improvements using autonomous, self-directing AI code.The difference between agentic AI and traditional computing is that the AI agent is autonomous. Rather than simply responding to prompts with human-sounding answers, it gathers information, and uses that information to make decisions, and execute activities.




