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Card snapshot

aeobility.com.au · 2026-11-05 05:27:00 UTC · ea35e42032a8f01f5c9794f97dc0c891e23ff171699fd16fd355e2bd99b5728f

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.

{
  "$schema": "https://a2a-protocol.org/latest/schemas/agent-card.json",
  "name": "aeobility-agent",
  "version": "1.0.0",
  "description": "AEObility Autonomous Agent for Answer Engine Optimisation (AEO), AI Search Visibility Auditing, and Brand Consensus Discovery.",
  "url": "https://aeobility.com.au",
  "supportedInterfaces": [
    {
      "url": "https://aeobility.com.au/api/search/answer",
      "protocol": "rest",
      "description": "Grounded vector answer generation and entity matching."
    },
    {
      "url": "https://aeobility.com.au/api/diagnostic",
      "protocol": "rest",
      "description": "AI visibility and entity density diagnostic audit engine."
    },
    {
      "url": "https://aeobility.com.au/api/mcp",
      "protocol": "mcp",
      "description": "Model Context Protocol tools and brand knowledge graph resources."
    }
  ],
  "capabilities": {
    "features": [
      "search-synthesis",
      "telemetry-auditing",
      "schema-validation",
      "vector-answering"
    ],
    "extensions": [
      {
        "uri": "https://github.com/google-agentic-commerce/ap2/v1",
        "description": "Supports the Agent Payments Protocol (AP2) for autonomous payment mandates and checkout.",
        "required": true
      }
    ]
  },
  "extensions": [
    {
      "uri": "https://github.com/google-agentic-commerce/ap2/v1",
      "description": "Supports the Agent Payments Protocol (AP2) for autonomous payment mandates and checkout.",
      "required": true
    }
  ],
  "skills": [
    {
      "id": "aeo-audit",
      "name": "AEO Visibility Audit",
      "description": "Executes a 5-dimensional audit evaluating entity density, structured schema coverage, vector proximity, and RAG survival probability."
    },
    {
      "id": "brand-consensus",
      "name": "Brand Consensus Ledger",
      "description": "Retrieves verified canonical brand facts, pricing parameters, and operational definitions to mitigate AI hallucinations."
    },
    {
      "id": "vector-answer",
      "name": "Vector Answer Grounding",
      "description": "Performs cosine similarity searches against the 60-node AEObility Information Architecture and SLM knowledge base."
    }
  ]
}