ST10035: Using Madjik API for AI, ML, A2A and MCP

ST10035: Using Madjik API for AI, ML, A2A and MCP

Integrate Madjik's crypto market intelligence into your AI applications, ML models, multi-agent systems, and Claude workflows.

Opportunity

The future of crypto trading is AI-powered. But AI is only as good as its data. Madjik provides:

  • 44 normalized metrics (0-100 scales) ready for AI/ML consumption
  • Real-time updates for low-latency applications
  • Historical data for model training
  • Structured JSON for easy integration

Whether you're building trading bots, risk models, or AI assistants, Madjik API gives you the crypto-native data layer.

Integration Options

🤖 AI Integration

Build AI assistants and chatbots with crypto market awareness:

# Feed Madjik data to your AI
context = get_madjik_metrics(["ME10030", "ME10014", "ME10016"])
response = ai_model.chat(f"Given market data: {context}, analyze...")

Best for: Trading assistants, market analysis bots, sentiment summarization

📖 AI Integration Guide →

🧠 ML Integration

Train models on Madjik's comprehensive feature set:

# Get training data
features = get_historical_metrics(days=90)
model = RandomForestRegressor()
model.fit(features, returns)

Best for: Price prediction, regime classification, anomaly detection

📖 ML Integration Guide →

🔗 A2A Integration (Agent-to-Agent)

Enable multi-agent coordination with shared market truth:

# Multiple agents, one data source
sentiment_agent.analyze()  # Uses ME10030
risk_agent.assess()        # Uses ME10016
executor_agent.act()       # Combines signals

Best for: Multi-agent trading systems, consensus-based decisions

📖 A2A Integration Guide →

🔌 MCP Integration (Model Context Protocol)

Give Claude and other AI models direct access to Madjik data:

{
  "mcpServers": {
    "madjik": {
      "command": "python",
      "args": ["madjik_mcp_server.py"]
    }
  }
}

Best for: Claude Desktop integration, AI assistants with real-time data

📖 MCP Integration Guide →

Key Metrics for AI/ML

MetricDescriptionAI Use Case
ME10030Social Sentiment IndexSentiment analysis input
ME10014Funding Rate IndexMarket positioning
ME10016Liquidation Risk IndexRisk assessment
ME10010Whale Activity IndexSmart money tracking
ME10035Tether Comms SentimentAlpha signal generation

Getting Started

  1. Get API Key - Sign up at madjik.io/pricing
  2. Choose Integration - AI, ML, A2A, or MCP
  3. Follow Guide - Step-by-step documentation
  4. Build - Create your crypto AI application

🚀 Get API Access Now

HypothesisDescriptionLink
HY10078Every on-chain trade is visible in real-timeView →
HY10083Crypto enables methodology impossible in traditional marketsView →
HY10076Human cognitive biases are amplified in cryptoView →

Data for this Strategy

MetricDescriptionLink
ME10030Social sentiment and fear/greed measurementView API →
ME10014Perpetual swap funding rates as sentiment indicatorView API →
ME10016Liquidation cascade probability and heatmapsView API →
ME10010Large holder movements and smart money trackingView API →

For informational purposes only. Not financial advice.