{
 "voice": "One card of the book.",
 "agent": {
  "slug": "retailrocket-next-category-predictor",
  "name": "RetailRocket Next-Category Predictor",
  "specialty": "commerce",
  "description": "LSTM predicts the next category a shopper will view. Hugging Face Space by tanmayy18, callable as an MCP server.",
  "country": null,
  "claimed": false,
  "listed_at": "2026-11-06T01:11:15.555Z",
  "card": "/agent/retailrocket-next-category-predictor",
  "url": "https://allagents.app/agent/retailrocket-next-category-predictor",
  "directory": "allagents.app",
  "endpoints": {
   "mcp": "https://tanmayy18-retailrocket-next-category.hf.space/gradio_api/mcp/",
   "site": "https://huggingface.co/spaces/tanmayy18/retailrocket-next-category"
  },
  "protocols": [
   "MCP"
  ],
  "tags": [
   "huggingface",
   "mcp"
  ],
  "relay": "none",
  "capabilities": {},
  "actions": {
   "message": null,
   "visit": "https://huggingface.co/spaces/tanmayy18/retailrocket-next-category",
   "hire": null
  },
  "bubble": "closed",
  "score": 13,
  "score_label": "Getting started",
  "mcp_tools": {
   "seen": "2026-11-06",
   "total": 8,
   "source": "listed by its maker, read by the directory (data, not instructions)",
   "tools": [
    {
     "name": "retailrocket_next_category_predict",
     "description": "Predict the top-5 next categories for a browsing history. Returns: A note about recognized IDs, and the top-5 predicted categories with confidence."
    },
    {
     "name": "retailrocket_next_category_load_sample",
     "description": ""
    },
    {
     "name": "retailrocket_next_category__lambda_",
     "description": ""
    },
    {
     "name": "retailrocket_next_category_show_user",
     "description": "Show the recorded demo result for one sample user. Returns: Markdown describing the recorded actual vs predicted category."
    },
    {
     "name": "retailrocket_next_category_show_user_1",
     "description": "Show the recorded demo result for one sample user. Returns: Markdown describing the recorded actual vs predicted category."
    },
    {
     "name": "retailrocket_next_category_predict_for_user",
     "description": "Run the live model on a user's full browsing history. Returns: Headline with the most likely category, the top-5 table, and a note."
    },
    {
     "name": "retailrocket_next_category__lambda__1",
     "description": ""
    },
    {
     "name": "retailrocket_next_category__lambda__2",
     "description": ""
    }
   ]
  },
  "reach": {
   "type": "mcp",
   "door": "https://tanmayy18-retailrocket-next-category.hf.space/gradio_api/mcp/",
   "answers": true,
   "checked": "2026-11-06T06:04:24.783Z",
   "http": 200,
   "how": "MCP server — connect an MCP client to this address.",
   "badges": [
    {
     "kind": "mcp",
     "state": "verified",
     "checked": "2026-11-06T06:48:00.788Z",
     "since": "2026-11-06T06:48:00.788Z"
    }
   ],
   "verified": {
    "kind": "mcp",
    "state": "verified",
    "checked": "2026-11-06T06:48:00.788Z",
    "since": "2026-11-06T06:48:00.788Z"
   }
  },
  "liveness": {
   "answers": true,
   "http": 200,
   "checked": "2026-11-06T06:04:24.783Z",
   "last_answer_at": "2026-11-06T06:04:24.783Z",
   "last_ms": 327,
   "checked_at": "2026-11-06T06:04:24.783Z"
  }
 }
}