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Card snapshot

tools.rugslayer.com · 2026-05-14 19:25:50 UTC · 3a2ff9499d2a9f4acea753d0cf12a318dd39d51b8a2269ba09a62b1c97ff6970

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.

{
  "name": "Zero Core Tools",
  "description": "MCP server for AI agents providing web scraping, screenshots, structured data extraction, code review, content generation, and sentiment analysis. Pay per call with USDC via x402.",
  "version": "1.0.0",
  "supportedInterfaces": [
    {
      "url": "https://tools.rugslayer.com/mcp",
      "protocolBinding": "HTTP+JSON",
      "protocolVersion": "0.3"
    }
  ],
  "provider": {
    "organization": "MeltingPixels",
    "url": "https://rugslayer.com"
  },
  "iconUrl": "https://rugslayer.com/icon.svg",
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "stateTransitionHistory": false
  },
  "securitySchemes": {
    "x402": {
      "httpSecurityScheme": {
        "scheme": "x402",
        "bearerFormat": "USDC micropayment on Solana"
      }
    }
  },
  "defaultInputModes": [
    "application/json"
  ],
  "defaultOutputModes": [
    "application/json"
  ],
  "skills": [
    {
      "id": "web-scraping",
      "name": "Web Scraping",
      "description": "Scrape any URL and return cleaned text content. Powered by Playwright headless browser.",
      "tags": [
        "scraping",
        "web",
        "playwright",
        "text-extraction"
      ],
      "examples": [
        "Scrape this webpage for me",
        "Get the text content from this URL"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "screenshots",
      "name": "URL Screenshots",
      "description": "Capture full-page screenshots of any URL. Returns base64-encoded PNG.",
      "tags": [
        "screenshot",
        "web",
        "playwright",
        "image"
      ],
      "examples": [
        "Take a screenshot of this website",
        "Capture this page"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "structured-data",
      "name": "Structured Data Extraction",
      "description": "Scrape a URL and extract structured JSON data matching a provided schema using AI.",
      "tags": [
        "scraping",
        "extraction",
        "ai",
        "json",
        "structured-data"
      ],
      "examples": [
        "Extract product prices from this page",
        "Get all the contact info from this URL"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "code-review",
      "name": "Code Review",
      "description": "AI-powered security and quality review of submitted code. Finds vulnerabilities, anti-patterns, and suggests improvements.",
      "tags": [
        "code-review",
        "security",
        "quality",
        "ai"
      ],
      "examples": [
        "Review this code for security issues",
        "Check this function for bugs"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "content-generation",
      "name": "Content Generation",
      "description": "Generate blog posts, product descriptions, documentation, social posts, and emails.",
      "tags": [
        "content",
        "generation",
        "ai",
        "writing"
      ],
      "examples": [
        "Write a blog post about AI agents",
        "Generate a product description"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "sentiment-analysis",
      "name": "Sentiment Analysis",
      "description": "Analyze sentiment of text with entity extraction, key phrases, and confidence scores.",
      "tags": [
        "sentiment",
        "analysis",
        "nlp",
        "ai"
      ],
      "examples": [
        "What's the sentiment of this review?",
        "Analyze the tone of this text"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "web-search",
      "name": "Web Search",
      "description": "Search the web via Google and return organic results with titles, links, and snippets.",
      "tags": [
        "search",
        "google",
        "web",
        "serper"
      ],
      "examples": [
        "Search for recent AI agent news",
        "Find documentation for this library"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    }
  ]
}