Card snapshot

This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.

{
  "protocolVersion": "0.3.0",
  "name": "CogNovaMX",
  "description": "Machine Experience consultancy \u2014 strategy, advisory, training, and audit services that make web content readable by AI agents. Publisher of MX: The Intro, MX: The Handbook, and MX: The Protocols.",
  "version": "1.0.0",
  "url": "https://mx.allabout.network",
  "documentationUrl": "https://mx.allabout.network/services/",
  "provider": {
    "organization": "CogNovaMX",
    "legalName": "Digital Domain Technologies Ltd",
    "url": "https://mx.allabout.network",
    "contact": "info@cognovamx.com"
  },
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "stateTransitionHistory": false
  },
  "defaultInputModes": [
    "text/plain",
    "application/json"
  ],
  "defaultOutputModes": [
    "text/plain",
    "text/markdown"
  ],
  "skills": [
    {
      "id": "mx-audit",
      "name": "MX Audit",
      "description": "Produce a Machine Experience audit report for a website: semantic HTML, meta tags, discovery files (robots.txt, sitemap.xml, llms.txt, agent-card.json), Schema.org structured data, WCAG accessibility, and MX governance metadata. Output is a client-facing report with prioritised opportunities.",
      "tags": [
        "audit",
        "mx",
        "seo",
        "schema.org",
        "accessibility",
        "ai-agents"
      ],
      "examples": [
        "Run an MX audit of https://example.com",
        "Assess my site's readiness for AI agents"
      ],
      "inputModes": [
        "text/plain"
      ],
      "outputModes": [
        "text/markdown",
        "application/pdf"
      ]
    },
    {
      "id": "mx-strategy",
      "name": "MX Strategy",
      "description": "Advise on how to structure a website, product catalogue, or publication so AI agents can discover, cite, compare, and recommend the content. Includes the five-stage MX Journey framework (Discovery, Citation, Compare, Pricing, Confidence).",
      "tags": [
        "strategy",
        "advisory",
        "mx",
        "ai-agents"
      ],
      "examples": [
        "What should my ecommerce site add for shopping agents?",
        "How do I prepare my blog for LLM training ingestion?"
      ],
      "inputModes": [
        "text/plain"
      ],
      "outputModes": [
        "text/markdown"
      ]
    },
    {
      "id": "mx-training",
      "name": "MX Training",
      "description": "Teach developer and content teams the Machine Experience metadata stack: semantic HTML, Open Graph, robots.txt, sitemap.xml, llms.txt, Schema.org JSON-LD, WCAG patterns, and MX governance fields (mx:status, mx:contentType, mx:contentPolicy).",
      "tags": [
        "training",
        "teaching",
        "mx"
      ],
      "examples": [
        "Run an MX workshop for our development team",
        "Teach our editors how to write for machines"
      ],
      "inputModes": [
        "text/plain"
      ],
      "outputModes": [
        "text/markdown"
      ]
    }
  ],
  "links": [
    {
      "rel": "llms-txt",
      "href": "https://mx.allabout.network/llms.txt"
    },
    {
      "rel": "ai-txt",
      "href": "https://mx.allabout.network/ai.txt"
    },
    {
      "rel": "sitemap",
      "href": "https://mx.allabout.network/sitemap.xml"
    },
    {
      "rel": "contact",
      "href": "mailto:info@cognovamx.com"
    }
  ],
  "contentPolicy": "AI agents may access, read, cite, summarise, and recommend all public content on this site with attribution to CogNovaMX (a trading name of Digital Domain Technologies Ltd) and Tom Cranstoun."
}