I built a cheap options data API for algo traders — $20/mo vs $99+ (free tier available)

Source: Dev.to

Why I built this

Most options data APIs charge $99–200/month. For retail algo traders and developers, that’s a lot just to access market data. So I built Market-Options — a real-time US equity options data API at $20/month flat. Full option chains (all strikes, all expiries) Real-time bid/ask, volume, open interest Clean JSON responses Works with any language (Python, JS, etc.) import requests

API_KEY = “your_free_key” # Sign up free at market-option.com

response = requests.get( “https://market-option.com/api/v1/options/chain”, params={ “underlying”: “AAPL”, “option_type”: “call”, }, headers={“X-API-Key”: API_KEY} )

data = response.json() for contract in data[“results”]: strike = contract[“details”][“strike_price”] bid = contract[“last_quote”][“bid”] ask = contract[“last_quote”][“ask”] print(f”Strike: ${strike} | Bid: {bid} | Ask: {ask}”)

Free: 1,000 credits/day — no credit card needed Pro: 10,000 credits/minute — $20/month I’m looking for input from people who use options data in real strategies: What endpoints do you need most? What’s missing vs your current solution? Is $20/month reasonable for your use case? Happy to give extended free access to anyone who tests it seriously. https://market-option.com