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"
}
}