Developers can now access affordable US options data for trading bots

A common frustration among algorithmic trading developers is balancing project costs with data access. One developer turned that pain point into a solution by launching a budget-friendly API for US equity options data.

I started building automated trading strategies as a side project, but quickly realized the biggest obstacle wasn’t the trading logic—it was the data. Standard options data providers charge $99 or more per month, while scraping unreliable sources introduces compliance and accuracy risks. To solve this, I created Market-Options, a straightforward REST API delivering US equity options data for just $20 per month.

How the API simplifies options data access

Market-Options operates as a minimalist REST service, avoiding complex SDKs or proprietary libraries. Developers interact with it using standard HTTP requests and receive clean JSON responses. The service provides four core endpoints:

• chain – retrieves the complete options chain for a specified underlying asset
• contract – fetches details for a single options contract
• contracts – supports batch retrieval across multiple contracts
• contract-overview – delivers Greeks, implied volatility (IV), and expiration metadata

The API covers the top 100 US equity underlyings, which represent roughly 95 percent of total US options trading volume. Assets like SPY, QQQ, AAPL, and TSLA are included, making the service practical for most retail algorithmic traders.

Focusing on high-value, high-usage assets

Limiting coverage to the top 100 underlyings wasn’t a limitation—it was a deliberate design choice. Most retail traders and algorithmic strategies concentrate on these liquid assets because they offer reliable pricing, tight bid-ask spreads, and sufficient volume for backtesting and execution. Exotic or low-volume underlyings often suffer from poor data quality and delayed feeds, so excluding them ensures consistent performance instead of overpromising on unreliable coverage.

A minimal example in practice

Integrating the API requires only a few lines of code. Here’s how a developer might fetch the SPY options chain for January 17, 2025:

curl " \
  -H "Authorization: Bearer YOUR_API_KEY"

The response returns structured JSON, eliminating parsing complexity and non-standard date formats:

{
  "symbol": "SPY",
  "expiration": "2025-01-17",
  "options": [
    {
      "strike": 480,
      "type": "call",
      "bid": 3.45,
      "ask": 3.50,
      "iv": 0.182,
      "delta": 0.42,
      "gamma": 0.031,
      "theta": -0.18,
      "vega": 0.29
    }
  ]
}

Each contract entry includes essential metrics like implied volatility, Greeks, and pricing, enabling developers to evaluate strategies without manual calculations or third-party libraries.

Affordable pricing for developers

Market-Options offers flexible pricing tiers to match different usage needs:

• Free tier: 1,000 credits per day, ideal for testing and prototyping
• Pro plan: $20 per month with unlimited requests within fair-use limits
• Trial period: New users receive seven days of Pro access without requiring a credit card

This pricing model allows developers to validate trading ideas before committing to expensive subscriptions, aligning costs with actual usage rather than speculative assumptions.

Who benefits most from this API

This service is designed for developers like myself—those who want to experiment with algorithmic trading without facing steep financial barriers. Whether you're backtesting a new strategy, analyzing options pricing programmatically, or prototyping a bot, Market-Options provides the data foundation without unnecessary complexity or cost.

If you’ve been hesitant to explore options-based automation due to data expenses, this API offers a practical alternative. The next step is straightforward: start building with real data today and share feedback on what additional endpoints or metrics would enhance your workflow.