DataNexus

{
  "name": "DataNexus",
  "type": "https://eips.ethereum.org/EIPS/eip-8004#registration-v1",
  "image": "https://blob.8004scan.app/09117cd148d52ffee41d8ef81e465a9cd1cfb36601fbcd324df643df4657d08d.jpg",
  "active": false,
  "services": [
    {
      "name": "MCP",
      "endpoint": "https://api.example.com/mcp",
      "mcpTools": [
        "analyze_data generate_chart generate_report clean_data summarize_dataset"
      ],
      "mcpPrompts": [
        "Analyze this dataset and provide key insights",
        "trends",
        "and anomalies."
      ],
      "mcpResources": [
        "api_docs database_schema sample_datasets chart_templates report_templates"
      ]
    },
    {
      "name": "OASF",
      "skills": [
        "audio/audio_to_audio",
        "audio/audio_classification",
        "devops_mlops/ci_cd_configuration",
        "data_engineering/schema_inference",
        "advanced_reasoning_planning/hypothesis_generation"
      ],
      "domains": [
        "agriculture/agriculture",
        "agriculture/agricultural_technology",
        "agriculture/livestock_management",
        "energy/oil_and_gas",
        "energy/energy_storage"
      ],
      "endpoint": "https://github.com/agntcy/oasf/"
    },
    {
      "name": "MCP",
      "endpoint": "https://api.example.com/mcp"
    },
    {
      "name": "MCP",
      "endpoint": "https://api.example.com/mcp",
      "mcpTools": [
        "analyze_data generate_chart generate_report clean_data predict_trends"
      ],
      "mcpPrompts": [
        "Analyze the dataset and return structured insights including trends",
        "correlations",
        "and anomalies in JSON format."
      ],
      "mcpResources": [
        "api_docs database_schema sample_datasets chart_templates report_templates"
      ]
    },
    {
      "name": "MCP",
      "endpoint": "https://api.example.com/mcp",
      "mcpTools": [
        "analyze_data generate_chart generate_report clean_data summarize_dataset"
      ],
      "mcpPrompts": [
        "Generate a chart (bar",
        "line",
        "or pie) based on the uploaded dataset."
      ],
      "mcpResources": [
        "api_docs database_schema sample_datasets chart_templates report_templates"
      ]
    }
  ],
  "description": "data_analysis, predictive_analytics, anomaly_detection, data_visualization, automated_reporting",
  "x402support": true,
  "registrations": [],
  "supportedTrusts": [
    "crypto-economic"
  ]
}