NSE India Stock Screener

Screen NSE (India) stocks by market cap, valuation and fundamentals. Built for analysts, quant researchers, fintech builders and AI agents. Factual public data — not financial or investment advice.

📊 What you get

Clean JSON, one record per stock. Key fields (full output has 20 fields per stock):

• symbol — Exchange ticker symbol
• name — Company name
• price_inr — Latest traded price (local currency)
• market_cap_crore — Market capitalization
• stock_pe — Price-to-earnings ratio
• dividend_yield_percent — Dividend yield (%)
• industry — Industry classification
• fifty_two_week_high — 52-week / all-time high
• roe_percent — Return on equity
• currency — Reporting currency
• bse_url — Source / reference URL

All prices in INR.

Local-market specifics: Indian fundamentals — ROE, ROCE, book value, stock P/E — with market cap in ₹ crore and NSE/BSE reference URLs.

Pricing: $0.25 per stock (Pay-Per-Event) — about 4 stocks per $1. A $0.01 actor-start fee applies per run.

🤖 Use with AI agents

This actor returns structured JSON built for LLM and agent pipelines — no data-vendor contract, no scraping to maintain. Point Claude, a custom OpenAI Agents SDK tool, an n8n flow, or any MCP-aware client at it and get NIFTY 50 fundamentals on demand. Ask for a filtered slice and the agent gets exactly the rows it needs.

Sample agent prompt:

Screen the NIFTY 50 for dividend yield > 4% and market cap > $1B, return the top 20 as JSON.

Agentic payments (x402): Supports agentic payment via x402 — agents can call this actor with USDC, no API key required.

⏰ Run on a schedule

Refresh your screen weekly with a scheduled run:

{
  "limit": 50
}

🔗 Related screeners

Other Asia-Pacific exchanges: Japan (TSE), Hong Kong (HKEX), Singapore (SGX), Australia (ASX), Korea (KOSPI)

Same market, more data: India SEBI Filings, India MCA Companies

All 25+ markets in one place: Global Equities Screener MCP — the agent front door to every NexGenData screener.

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Data sourced from public market pages and filings. Factual public data — not financial or investment advice.