Real-time market data, intelligent ticker extraction, RAG-powered analysis, and price prediction — one API key, two integration channels: REST API and MCP.
From real-time data extraction to predictive analytics, MarketMind provides a complete toolkit for financial developers.
Retrieval-Augmented Generation powered by financial context. Query any stock or market topic and get grounded, source-backed answers.
Extract NSE/BSE and global stock tickers from unstructured text. Enriched with sector, industry, and peer group metadata.
ML-driven price movement predictions with confidence scores. Backtested on historical market data with configurable time horizons.
Live market status, expiry calculations, settlement dates, and trading holiday awareness. Always in sync with the market calendar.
Encrypted API key management with per-key rate limiting, usage tracking, and plan-based quotas. Your keys, your control.
One API key, two integration paths. Use the REST API for apps and dashboards, or connect via MCP for AI agents and LLM workflows.
Generate a single API key and use it across both integration channels. No separate accounts, no separate credentials — just one identity that works everywhere.
Whether you're building apps or AI agents, we have the right integration for you.
Connect MarketMind to any AI agent. Drop it into Claude, ChatGPT, Cursor, or any MCP-compatible client — your AI instantly understands markets.
{
"mcpServers": {
"marketmind": {
"url": "https://mcp.marketmind-hub.in/mcp",
"transport": "streamable-http",
"headers": {
"X-API-Key": "your-api-key"
}
}
}
}Integrate MarketMind into any application with our clean REST API. Perfect for trading bots, dashboards, fintech apps, and backends.
$ curl -X POST https://api.marketmind-hub.in/v1/signals/ticker-extract \
-H "X-API-Key: YOUR_KEY" \
-d '{"text": "Reliance and TCS surged today"}'
{
"tickers": [
{"symbol": "RELIANCE", "sector": "Energy"},
{"symbol": "TCS", "sector": "IT"}
]
}From solo traders to fintech platforms, MarketMind powers diverse financial applications.
Feed real-time market data and price predictions into your trading algorithms. Use RAG for news-driven sentiment analysis before executing trades.
Build intelligent financial dashboards that pull context-aware insights. Ask natural language questions about any stock and get structured answers.
Create AI agents that understand markets. Connect via MCP to give your LLM real-time financial context, expiry dates, and sector analysis.
Track sector exposure, peer comparisons, and market-wide signals. Use ticker metadata and sector classification for intelligent portfolio breakdowns.