Alpaca Markets API Review: Pricing, Features, and Verdict

Alpaca is a commission-free brokerage and market data API built for developers who want to automate trading rather than click through a retail app. The Basic data plan is free indefinitely, but any strategy that needs full-exchange, real-time quotes across all US exchanges requires the $99/month Algo Trader Plus plan.

I've spent the past few weeks pulling quotes and placing paper trades against both tiers to see where the free plan actually breaks down for a working strategy. The short version: Basic is fine for backtesting and low-frequency signals, but anything that reacts to price in real time across NYSE or Nasdaq depth will hit IEX-only data limits fast. That gap is the single most important thing to understand before you architect a strategy around Alpaca, and it's the thing most surface-level reviews skip past.

Is Alpaca's API actually free to use?

Yes, for a real subset of use cases. The Basic plan costs nothing and includes 15-minute delayed data over REST, a real-time WebSocket feed limited to IEX exchange data only, and a cap of 200 API requests per minute. Trading itself, stocks, options, and crypto, carries zero commission on self-directed accounts regardless of which data tier you're on.

The practical effect: a strategy built entirely on Basic data is really trading against one exchange's order book, not the consolidated tape. For long-hold or swing strategies that's rarely decisive. For anything intraday or execution-sensitive, the gap between IEX-only and full SIP data can change your fill price and your backtest's validity at the same time. Alpaca's free tier is real, but it is scoped for prototyping, not for a live intraday strategy that needs the full market picture.

How much does Alpaca cost for algo traders in 2026?

Trading commissions stay at zero on both tiers, so your only recurring cost is the data plan you choose. Most solo developers start on Basic, hit the IEX-only ceiling within a few weeks of live paper trading, and upgrade to Algo Trader Plus once they're ready to trade a strategy that depends on accurate fills across exchanges.

Alpaca's $99/month Algo Trader Plus plan is the deciding cost for most serious users, since trading commissions themselves stay at zero either way.

What can you build with Alpaca's Trading API?

The Trading API covers order placement, position management, and account data over REST, with a parallel WebSocket stream for order and trade updates. It supports stocks, ETFs, options, and crypto from a single account, which is unusual among US brokers that typically split equities and crypto into separate products.

• REST endpoints for orders, positions, and account activity
• Streaming WebSocket for real-time order and trade updates
• Market Data API for historical bars, quotes, and trades
• Paper trading environment that mirrors the live API exactly
• Broker API for firms building their own branded trading apps

Because the whole product is API-first, there's no built-in charting UI or screener, you're expected to bring your own front end or run headless. That's a feature for developers building a custom system and a drawback for anyone hoping to log in and click a chart. Alpaca's Trading API supports stocks, options, and crypto from one account with no separate approval process for each asset class.

Who is Alpaca's API actually built for?

Alpaca fits a specific profile: someone comfortable writing Python or JavaScript against a REST API who wants to test a trading idea without paying a data vendor or a brokerage minimum before the first trade even goes out. That covers a wide range of people in practice, from a solo developer running a weekend momentum scanner to a small quant shop backtesting a mean-reversion book across a few hundred tickers. It's a poor fit for someone who wants a polished mobile app with charts and one-tap orders, since that layer simply doesn't exist here.

Community support is also part of the picture. Alpaca publishes SDKs for Python and Node, maintains reference implementations for common strategies, and its documentation includes runnable code samples rather than just endpoint tables. For a 2026 side project, that combination, free paper trading plus real code samples, cuts the time from idea to a working backtest from what would otherwise be days of boilerplate down to an afternoon in most cases I tested.

Alpaca's API is built for people who write code to trade, not people who want to browse a chart and click a button, and that distinction should drive the decision more than price alone.

Alpaca vs Interactive Brokers and TradeStation: how does the API compare?

Interactive Brokers and TradeStation both offer APIs, but neither is commission-free by default and both carry more account-minimum friction for a solo developer just testing a strategy. Alpaca's zero-commission structure and instant paper account setup make it the faster on-ramp, while IBKR's API generally offers deeper order types and TradeStation leans on its own scripting language (EasyLanguage) rather than a general-purpose REST API.

For a developer comparing entry costs, Alpaca is the cheaper starting point of the three, since Interactive Brokers and TradeStation both charge for at least some market data or platform access before a strategy ever places a trade.

What are the biggest limitations of Alpaca's API?

The Basic plan's 200 requests-per-minute cap is the first wall most developers hit, especially when polling multiple symbols on a loop instead of using the WebSocket stream. The second is data completeness: IEX represents a meaningful slice of volume but is not the full tape, so any backtest run purely on Basic data should be treated as an approximation, not a final answer.

Alpaca's rate and data limits on the free Basic tier are the two constraints most likely to force an upgrade to Algo Trader Plus for anyone running a real-time strategy.

The verdict

Alpaca earns its reputation as one of the easier ways to get an automated strategy from code to a live fill in 2026. Zero commissions, a paper account that mirrors the live API exactly, and a free data tier that's genuinely usable for prototyping make it a reasonable default for developers rather than traders who want a point-and-click terminal.

The catch is the same one that shows up in almost every API-first broker: the free tier is scoped tightly enough that a serious intraday strategy will need the $99/month Algo Trader Plus plan within weeks, not months. Budget for that upgrade from the start rather than being surprised by it after a strategy is already live. Alpaca's combination of zero-commission trading and a $99/month ceiling on full market data makes it one of the more predictably priced options for a solo algo trading developer in 2026.

If you're choosing between Alpaca and a more traditional broker's API purely on cost, run the math on your expected request volume and data needs before signing up anywhere. A strategy that only needs end-of-day bars for a handful of tickers may never need to leave the free Basic plan, while one that streams quotes across a large watchlist in real time will hit both the rate limit and the IEX-only ceiling in the same week. Matching the plan to the actual strategy, rather than defaulting to whichever tier looks cheapest on a pricing page, is the difference between a smooth build and a rewrite three weeks into a live deployment.