DocStoX is a free AI-powered research platform for Indian equity markets, covering 5,700+ NSE & BSE stocks with prices, fundamentals, 326 financial ratios, shareholding, FII/DII flows, F&O, IPOs, a visual screener and AI stock scoring.

Yes. DocStoX has a free tier covering stock research, the screener, FII/DII data and educational guides, plus a free MCP API tier (50 tool calls/day) for AI assistants. A Pro plan adds higher limits and advanced features.

What data does DocStoX cover?

Every NSE & BSE listed stock (5,700+ instruments): EOD and intraday prices, income statement / balance sheet / cash flow, 326 ratios, quarterly shareholding, promoter pledge, mutual-fund holdings, FII/DII flows, F&O and option-chain data, analyst forecasts, IPOs, corporate actions and news.

Can AI assistants like ChatGPT or Claude use DocStoX data?

Yes. DocStoX runs a public Model Context Protocol (MCP) server at https://mcp.docstox.com/mcp with 76 tools, so Claude, ChatGPT, Cursor and other MCP clients can pull Indian market data directly. Setup and a free key are at https://docstox.com/mcp.

Neutral impactCompany

Popular Vehicles and Services Limited — Analysts/Institutional Investor Meet/Con. Call Updates

NSE 1 hr ago·11 Sept 2026, 5:34 am

Popular Vehicles N SER L

Popular Vehicles and Services Limited has informed stock exchanges that it is holding an institutional investor meet or conference call. This announcement signals that the company is engaging with its shareholders and potential investors to discuss its business performance and future outlook.

For investors, such meetings are often viewed as a positive step, as they provide a forum for management to directly address concerns and highlight growth strategies. It offers a transparent look into the company's direction, which can help in assessing the stock's potential.

Investors should watch for any specific guidance or updates shared by the company during the event. Any positive commentary on demand or operational efficiency could influence market sentiment, while a lack of detailed information might lead to cautious trading.