AutoResearch AI

{
  "name": "AutoResearch AI",
  "type": "https://eips.ethereum.org/EIPS/eip-8004#registration-v1",
  "image": "https://blob.8004scan.app/ab66206361838f68653be553e231fcc61cfc2f9965124ee3efaf747e533a3c35.jpg",
  "active": true,
  "services": [
    {
      "name": "MCP",
      "endpoint": "https://api.codeassistant.ai/mcp",
      "mcpTools": [
        "code_generator",
        "code_debugger",
        "code_explainer",
        "code_optimizer",
        "documentation_builder"
      ],
      "mcpPrompts": [
        "generate_code",
        "debug_code",
        "explain_code",
        "optimize_code",
        "create_documentation"
      ],
      "mcpResources": [
        "programming_docs",
        "api_references",
        "coding_examples",
        "language_specs"
      ]
    },
    {
      "name": "MCP",
      "endpoint": "https://api.codeassistant.ai/mcp",
      "mcpTools": [
        "code_generator",
        "code_debugger",
        "code_explainer",
        "code_optimizer",
        "documentation_builder"
      ],
      "mcpPrompts": [
        "generate_code",
        "debug_code",
        "explain_code",
        "optimize_code",
        "create_documentation"
      ],
      "mcpResources": [
        "programming_docs",
        "api_references",
        "coding_examples",
        "language_specs"
      ]
    },
    {
      "name": "OASF",
      "skills": [
        "advanced_reasoning_planning/chain_of_thought_structuring"
      ],
      "domains": [],
      "endpoint": "https://github.com/agntcy/oasf/"
    }
  ],
  "description": "AutoResearch AI is a research automation agent designed to collect, analyze, and summarize information from multiple sources.\n\nThe agent can process large volumes of documents, articles, datasets, and reports to generate concise insights and structured summaries.\n\nIt significantly accelerates research workflows for analysts, academics, and businesses.\n\nUse Cases:\n\nMarket research\n\nCompetitive intelligence\n\nAcademic research\n\nIndustry analysis\n\nKnowledge extraction",
  "x402support": true,
  "registrations": [],
  "supportedTrusts": [
    "tee-attestation",
    "crypto-economic",
    "reputation"
  ]
}