Public APIs
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Polygon

Finance

Historical stock market data.

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About Polygon

Polygon (operated by Massive) provides market data APIs covering stocks, options, indices, currencies, and futures. Data is sourced directly from exchanges via co-located datacenter infrastructure with direct fiber cross-connects, covering all US exchanges, dark pools, and OTC markets for stocks, with 32,345+ tickers since 2003, 1.67M+ options contracts since 2014, 11,409+ indices since 2023, 1,750+ currency pairs since 2009, and 361K+ futures contracts since 2017.

Access methods include a RESTful API, WebSocket API for real-time data, flat files via an S3 interface, and a SQL query option. Data is available in JSON and CSV formats, with client libraries provided for Python, JavaScript, Go, and Java. Historical data coverage extends up to 20+ years depending on plan, with data recency ranging from end-of-day to real-time.

The product is aimed at developers building trading applications, robo-advisors, research agents, and dashboards, including individual developers and businesses. It also supports integration with AI tools such as Claude, ChatGPT, Cursor, Codex, Copilot, Gemini CLI, and Claude Desktop through a documented setup instruction and a remote MCP server.

Key features

  • Real-time and historical market data for stocks, options, indices, currencies, and futures
  • Data delivered via REST API, WebSocket, flat files (S3), and SQL query access
  • Client libraries and JSON/CSV formats for easy integration
  • Direct fiber cross-connects to major exchanges for low-latency data
  • Remote MCP server and AI agent setup for tools like Claude and ChatGPT
  • Full options chain data including Greeks, implied volatility, and trade-level detail

Frequently asked questions

What asset classes does Polygon (Massive) cover?

It covers stocks, options, indices, currencies (forex and crypto), and futures, sourced directly from major exchanges.

How can I access the data?

Data is available through RESTful and WebSocket APIs, flat files via an S3 interface, and a SQL query option.

What programming languages are supported?

Client libraries and examples are provided for Python, JavaScript, Go, and Java.

How much historical data is available?

Depending on the plan, data ranges from end-of-day to real-time recency, with up to 20+ years of history.

Does it support AI tools and agents?

Yes, it offers a remote MCP server and setup instructions for AI tools like Claude, ChatGPT, Cursor, and Copilot.

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