Context Protocol Docs
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  • PROTOCOL OVERVIEW
    • ✖️About Context Protocol
    • 👾Why Context Protocol?
      • Verified AI-Ready Domains (VARD)
      • Training AI with verified data
      • SaaS Solution
    • 🤖Technology behind Context
    • 📈$TEX Token
      • Multi-chain token
      • Token Utility
      • Governance
      • Allocation
    • 🧐Use Cases and Applications
      • 📢Telegram bot for updates
      • 🔵Basenames integration
      • 🌎dWeb: Descentralized Website
      • 📌Decentralized Link3
  • DEVELOPERS
    • 👨‍💻Why build on Context
    • 🏗️Typescript SDK
      • Initialization
      • Working with Domains
      • Managing Documents
      • Creating Templates
      • Assets
      • Error Handling
    • 📑Example Workflow
    • ✨Create your first Domain
  • COMMUNITY
    • 🪂Community Program
    • 🫂Social Media
  • RESOURCES
    • 🛟Support
    • 🖥️WebApp
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  1. PROTOCOL OVERVIEW
  2. Why Context Protocol?

Verified AI-Ready Domains (VARD)

Verified AI-Ready Domains enable authorities of any kind (institutions, associations, clusters, DAOs) to In the emerging AI economy, organizations need verified knowledge spaces where AI can interact with trusted data. VARD enables this through two paths:

Domain Authorities (like governments, associations, or DAOs) can create verified knowledge spaces where they set the verification standards. For example, Barcelona city council could manage .bcn, verifying organizations within their ecosystem.

Organizations seeking verified presence can:

  • Request their own domain under an existing authority (example: restaurant.bcn)

  • Join global domains through verification processes

  • Participate in industry-specific domains

Once verified, organizations maintain full sovereignty over their data, choosing what to make public or private. They can update their knowledge space just as they would update a website today, but with the added trust layer that enables AI interactions.

VARD serves two key user groups:

1. Domain Authorities

  • Create and manage verified knowledge spaces

  • Can be institutions, associations, clusters, DAOs, or recognized industry bodies

  • Verify organizations within their domain

  • Define verification standards and processes

  • Control their domain's structure and governance

2. Organizations Seeking Verified Domains

  • Request domains from relevant authorities

  • Maintain sovereignty over their data (public/private)

  • Use Context agents to:

    • Update real-time verified data for AI consumption

    • Verify their supply chain and partners

    • Upload and verify products/services

    • Share public knowledge bases

    • Manage private verified information

All data within VARD becomes part of a growing knowledge graph where:

  • Information is semantically structured for AI

  • Updates are verified in real-time

  • Changes maintain permanent traceability

  • Organizations control their data privacy

  • Verification flows through relationships

This creates an evolving, verified knowledge ecosystem that enables trusted AI interactions while respecting both authority verification and organizational autonomy.

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Last updated 3 months ago

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