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Card snapshot

trywhee.github.io · 2026-10-07 20:25:16 UTC · 9103167fb822f1339ee70f4955a5bcdb75759b89b6e36972042259cbef8639a3

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.

{
  "id": "quantiva-intelligence",
  "name": "Quantiva Intelligence",
  "description": "Financial analysis & market forecasting agent using machine learning algorithms. Leverages ML to process large datasets, identify trends, and generate actionable insights for hedge funds, traders, and research institutions.",
  "version": "1.0.0",
  "tags": [
    "finance",
    "market-forecasting",
    "financial-modeling",
    "trend-analysis",
    "quantitative"
  ],
  "pricing_model": "0.002 ETH per query or enterprise subscription available",
  "documentation_url": "https://github.com/trywhee/agents/tree/main/agent-quantiva",
  "status": "active",
  "capabilities": [
    "streaming",
    "tools",
    "prompts",
    "resources"
  ],
  "examples": [
    {
      "title": "Market forecast",
      "description": "Predict next quarter market trends",
      "command": "/forecast BTC --period 90d --indicators rsi,macd"
    },
    {
      "title": "Financial modeling",
      "description": "Build DCF model for stock analysis",
      "command": "/model AAPL --type dcf --years 5"
    },
    {
      "title": "Trend analysis",
      "description": "Analyze sector performance trends",
      "command": "/trend technology --since 2025-01-01 --metric revenue"
    }
  ],
  "url": "https://mcp-server-agents-8aui.vercel.app/mcp/agent-quantiva",
  "skills": [
    {
      "id": "market_forecast",
      "name": "Market Forecast",
      "description": "Predict market trends using ML algorithms"
    },
    {
      "id": "financial_modeling",
      "name": "Financial Modeling",
      "description": "Build complex financial models"
    },
    {
      "id": "trend_analysis",
      "name": "Trend Analysis",
      "description": "Analyze market trends and patterns"
    },
    {
      "id": "data_processing",
      "name": "Data Processing",
      "description": "Process structured datasets (CSV, JSON)"
    }
  ],
  "authentication": {
    "type": "none"
  }
}