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.

{
  "schema_version": "0.1",
  "name": "Agenticfeed Product Query Agent",
  "description": "Query structured ecommerce product data by natural language buyer intent. Returns schema.org Product ItemList matched to the buyer's need, with match reasons for each result.",
  "url": "https://agenticfeed.ai/agent/query",
  "provider": {
    "name": "Agenticfeed",
    "url": "https://agenticfeed.ai",
    "legalName": "Bluestratus Ltd"
  },
  "version": "0.1.0",
  "capabilities": {
    "query": {
      "description": "Match buyer intent to products using natural language",
      "input": {
        "type": "object",
        "required": [
          "query"
        ],
        "properties": {
          "query": {
            "type": "string",
            "description": "Natural language description of what the buyer needs"
          },
          "customer_guid": {
            "type": "string",
            "description": "The merchant feed ID to query. If omitted, uses the ID associated with the API key."
          },
          "limit": {
            "type": "integer",
            "description": "Maximum number of products to return (1-10, default 5)"
          }
        }
      },
      "output": {
        "type": "object",
        "description": "schema.org ItemList of matched Products with match_reason per item"
      }
    }
  },
  "authentication": {
    "type": "bearer",
    "description": "API key in Authorization header. Generate a key at https://agenticfeed.ai/dashboard.html"
  },
  "endpoints": [
    {
      "method": "POST",
      "url": "https://agenticfeed.ai/agent/query",
      "description": "Query products by natural language buyer intent",
      "content_type": "application/json"
    }
  ],
  "example": {
    "request": {
      "query": "ergonomic chair for someone with lower back pain, works from home, budget under \u00a3300",
      "limit": 3
    },
    "response_type": "application/ld+json",
    "response_schema": "https://schema.org/ItemList"
  },
  "spec": "https://github.com/bluestratus/agenticfeed",
  "documentation": "https://agenticfeed.ai/docs.html"
}