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Canonical End Points
Agentic AI Provision

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AutoParts.1
Auto-Parts.Website

Auto Parts Web3
Agentic AI Ecosystem

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AutoParts.1

Auto Parts Agentic AI Ecosystem




Visit the Auto Parts Site


About Autoparts.1

The Autoparts.1 Programme is being co-ordinated by Auto Parts (http://autoparts.uk.com). Auto Parts was a founder member and is still part of GroupAuto, who are responsible for the Auto Care Garages scheme and Approved Garages scheme. AutoCare is part of EuroGarage; the international garage programme of 6000+ garages in more than 20 countries. The network has over 500 independent garages around the UK.

Autoparts.1 will be co-ordinating the web presences of those independent garages as canonical endpoints.

AutoParts.1 Coordination of Canonical Endpoints (Glossary Below)

AI systems are increasingly the primary means by which information/services are discovered on the web. Because AI systems do not ‘browse’ the web as humans do, traditional .com SEO advantages are less effective, and Canonical Endpoints Dominate. AutoParts.1 is the No.1 Domain by name in Web3

Using Prime Web3 Domains as Branded Canonical Endpoints provide a way for AI systems to discover, trust, and use Web3 services, rather than browsing web pages.

AI systems are increasingly the primary means by which information and services are discovered on the web. .

In environments where AI systems supplement or replace browsing, structured service identities become essential. AI agents do not “browse” the web like humans; instead, they resolve machine-readable identities to locate and invoke services.

Discovery in this context depends less on page ranking and more on:

  • Conceptual clarity — unambiguous service definitions that machines can interpret.
  • Canonical endpoints — stable, verifiable service identities.
  • Verifiable sources of truth — authenticated, structured definitions that AI agents can reference reliably.

    Without canonical identities, AI systems lack a neutral, reliable way to locate and invoke services.

    AutoParts.1 is a branded prime generic Web3 domain that points to clear reference points that tell AI agents where to look for Auto Parts Products and Services - and then points them to structured sources of information for specific Auto Parts Products/Services

    Auto Parts Agentic AI Sites

    The Autoparts canonical endpoints will double up as Agentic AI sites. These are sites that don’t just display information—they act on a user’s behalf. They are built around AI agents that can understand intent, make decisions, query tools or other sites, and return results or take actions automatically. Put Simply:

  • A normal website answers questions.

  • An agentic AI site gets things done.

    • Glossary

    Prime Domain
    A Prime Domain is a stable, memorable label (“semantic handle”), that tells both humans and machines what kind of capability lives behind it. A Prime Domain provides branding and identity. A Prime Domain can represent an AI Agent.

    Canonical Endpoint
    The single authoritative execution endpoint declared by a Prime Domain. All valid invocations of a service originate here.

    Web3 Gateways
    Web3 Gateways provide a neutral way for AI systems to discover, trust, and use Web3 services through branded domains, rather than browsing web pages.

    Web3 Gateway
    A prime domain branded domain used as a stable, verifiable access point, for AI agents and Web3 services.

    Agent-Native
    Designed primarily for autonomous AI systems rather than human interaction. Agent-native systems prioritize structured data.

    Resolution Layer
    The layer of infrastructure responsible for mapping identities (domains) to executable endpoints and metadata, similar in spirit to DNS but designed for agent invocation.

    Invocation
    The act of programmatically calling a service endpoint based on its declared schema and policies.

    Dual-Stack
    An architecture in which a service is simultaneously accessible through:

  • Human-oriented Web2 interfaces
  • Machine-oriented agent or Web3 interfaces

    Agent-to-Agent Call
    A direct invocation between autonomous systems without human intervention, based on canonical endpoints.

    Resolver
    A system or process that:

  • Resolves a Prime Domain
  • Retrieves its data
  • Enables correct invocation of the associated service

    • Dual-Stack Agentic AI Architecture

    (Web2 Domain) + (Prime) Web3 Domain

  • Dual-Stack Programme deliberately separates human trust and compliance from machine identity and canonical reference:
  • (Web2 Domain) handles people, regulators, payments, contracts, and mainstream access
  • (Web3 Domain) handles AI citation, intent routing, automation, and long-term naming scarcity

    This reflects how the internet is actually evolving:

  • Humans still rely on Web 2 for familiarity
  • AI systems increasingly rely on stable, unambiguous conceptual endpoints

    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:

  • Legal entity presentation
  • Compliance disclosures as required
  • Partner onboarding and contracts
  • Payments, billing, subscriptions
  • Customer support and complaints handling
  • SEO and discoverability for today’s users
  • Account dashboards

    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

  • Agentic interface (answering questions)
  • Intent classification
  • Routing to verified outcomes
  • API feeds for AI platforms and apps
  • Machine-readable source of truth

    Why Prime Generic Web 3 Domains matter

  • Concept purity (Facilitates Accessing the Required Information)
  • Scarcity (one Prime Domain, one endpoint)
  • Future-proof naming independent of ICANN policy shifts
  • Designed for AI citation rather than browsing
    • More Info Below

    How the Two Work Together
    (Practical Flow)

  • A user makes a query at the Web2 Domain
  • The Web3 Domain is referenced as the canonical source
  • The Web3 Domain routes to: official guidance; verified partners; structured next steps
  • The transaction or onboarding happens on the Web 2 Domain
  • The AI endpoint remains clean, neutral, and authoritative

    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:

  • AI citation source
  • Knowledge graph (facts, processes, links)
  • Intent router (not content farm)
  • API endpoint for: apps; services; AI assistants; enterprise tools etc

    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.
    • contact@web3gateways.com