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
🧠 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
🔗 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 signalsBest for: Multi-agent trading systems, consensus-based decisions
🔌 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
Key Metrics for AI/ML
| Metric | Description | AI Use Case |
|---|---|---|
| ME10030 | Social Sentiment Index | Sentiment analysis input |
| ME10014 | Funding Rate Index | Market positioning |
| ME10016 | Liquidation Risk Index | Risk assessment |
| ME10010 | Whale Activity Index | Smart money tracking |
| ME10035 | Tether Comms Sentiment | Alpha signal generation |
Getting Started
- Get API Key - Sign up at madjik.io/pricing
- Choose Integration - AI, ML, A2A, or MCP
- Follow Guide - Step-by-step documentation
- Build - Create your crypto AI application
Related Hypotheses
| Hypothesis | Description | Link |
|---|---|---|
| HY10078 | Every on-chain trade is visible in real-time | View → |
| HY10083 | Crypto enables methodology impossible in traditional markets | View → |
| HY10076 | Human cognitive biases are amplified in crypto | View → |
Data for this Strategy
| Metric | Description | Link |
|---|---|---|
| ME10030 | Social sentiment and fear/greed measurement | View API → |
| ME10014 | Perpetual swap funding rates as sentiment indicator | View API → |
| ME10016 | Liquidation cascade probability and heatmaps | View API → |
| ME10010 | Large holder movements and smart money tracking | View API → |
For informational purposes only. Not financial advice.