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.

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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 93 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.

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Solara Active Pharma Sciences Limited — Analysts/Institutional Investor Meet/Con. Call Updates

NSE 1 hr ago·13 Oct 2026, 11:55 am

Solara Active PHA SCI

Solara Active Pharma Sciences Limited has announced a scheduled conference call for Friday, October 16, 2026, at 4:00 PM IST. The meeting is intended for analysts and institutional investors to discuss the company's unaudited financial results for the quarter and half year ended September 30, 2026.

This announcement is a routine update that provides a scheduled time for the market to receive insights directly from the company's management. For investors, the call is a key opportunity to hear management's commentary on the business's performance, future outlook, and strategic plans.

Investors should watch for management's guidance on operational metrics and any commentary on the broader market environment. The discussion will likely offer clarity on the company's current trajectory following the release of the financial data.