Alpaca vs Ziggma: Which Is Better in 2026?

Last updated July 2026

Short answer

Alpaca and Ziggma are often compared, but they are built for different jobs. Alpaca is for builders: connect a broker to an ai agent (official mcp server (data + execution)), best for developers building ai agents. Ziggma is ai stock research and scoring (scores stocks and analyses portfolio construction), best for portfolio analytics and stock scoring for self-directed investors. Neither is universally better: pick Alpaca if you want developers building ai agents, Ziggma if you want portfolio analytics and stock scoring for self-directed investors.

Both Alpaca and Ziggma get grouped under “AI investing tools,” which is why people compare them, but they sit in different categories and answer to different needs. Below is a balanced, 2026 look at what each one does, whether it reads the brokerage you already use, how each is priced, and who each fits, so you can tell which job you are actually hiring a tool for. Where relevant, we note where Walnut sits in its own category: chat-driven management of your own broker. Walnut is not an investment adviser.

Alpaca vs Ziggma at a glance

 AlpacaZiggma
CategoryFor builders: connect a broker to an AI agentAI stock research and scoring
What the AI doesOfficial MCP server (data + execution)Scores stocks and analyses portfolio construction
Connects your brokerAlpaca accountsYes, for tracking
Read vs tradeRead + trade + paperNo
CostFree (open source)Free tier plus a paid tier (verify current)
Best forDevelopers building AI agentsPortfolio analytics and stock scoring for self-directed investors
One limitationDeveloper-first; requires code and self-hosting.Analysis and simulation only; it cannot place an order, so acting on anything means going back to your broker.

Figures and features are point-in-time and change; treat the table as a starting map, not a live quote.

What is Alpaca?

A developer-first brokerage with an official MCP server for real-time data, paper trading, and execution by AI agents. Best for people who code.

How it works: Alpaca is a brokerage you talk to through code: a REST and websocket API exposes market data, paper trading, and live commission-free execution, and its official MCP server lets an AI agent pull data, test in a paper account, and place real orders programmatically. You build (or wire up an agent against) that API rather than tapping buttons in an app.

In practice, Alpaca’s AI official mcp server (data + execution). It falls under for builders: connect a broker to an ai agent, which makes it best suited to developers building ai agents. On connecting an account it is “Alpaca accounts”, and on execution it is “Read + trade + paper”. It is priced as free (open source).

One honest limitation: Developer-first; requires code and self-hosting.

What is Ziggma?

A portfolio analytics platform with proprietary stock scores, portfolio simulation and dividend tracking for self-directed investors.

How it works: You connect or enter your holdings and Ziggma analyses the portfolio for exposure, risk and dividend income, scoring individual stocks on fundamental factors. A simulator lets you test how adding or removing a position would change the whole portfolio before you do it, which is the feature most portfolio trackers lack.

In practice, Ziggma’s AI scores stocks and analyses portfolio construction. It falls under ai stock research and scoring, which makes it best suited to portfolio analytics and stock scoring for self-directed investors. On connecting an account it is “Yes, for tracking”, and on execution it is “No”. It is priced as free tier plus a paid tier (verify current).

One honest limitation: Analysis and simulation only; it cannot place an order, so acting on anything means going back to your broker.

Alpaca vs Ziggma: how they actually differ

The core difference is category. Alpaca focuses on developers building ai agents (official mcp server (data + execution)), and Ziggma on portfolio analytics and stock scoring for self-directed investors (scores stocks and analyses portfolio construction). On broker connection they differ too: Alpaca is “Alpaca accounts” versus Ziggma at “Yes, for tracking”. That shapes everything downstream: how personal the answers are, where trades settle, and how much control you keep over individual positions.

Alpaca vs Ziggma: strengths and trade-offs

Every tool gives something up for what it does well. Here is the honest give-and-take on each, so you can weigh the specific strengths against the limitations that come with them rather than judging on the headline category alone.

Alpaca

Where it is strong

  • An official MCP server purpose-built for AI agents
  • Robust REST and websocket API with a full paper-trading sandbox
  • Commission-free US equities and crypto for developers

What to watch out for

  • Developer-first: it assumes you can write code and self-host an agent
  • Your money lives in an Alpaca account, not the broker you may already use

Ziggma

Where it is strong

  • Portfolio simulation before you trade, rather than analysis only after the fact
  • Fundamental stock scoring built for long-term holders rather than traders
  • Dividend income tracking and projection

What to watch out for

  • Read-only, so every action still happens at your broker
  • Proprietary scores are one opinion expressed as a number, and the methodology matters more than the score

The key divider: does it read your real holdings?

For AI investing tools, the distinction that matters most is whether the tool works from your actual, connected positions or reasons from something else: a separate account it manages for you, or the tickers and numbers you feed it. It decides how personal the answers can be, and where your money physically lives.

  • Alpaca: connects specific supported accounts. Alpaca connects a defined set of accounts (Alpaca accounts), so whether it can see your holdings depends on whether your money is at one of them.
  • Ziggma: reads your real connected holdings. Ziggma connects your real brokerage (Yes, for tracking) and works from your actual positions, so its answers reflect what you genuinely own rather than a generic model.

This is where they diverge most. One works from your real, connected account while the other does not, so if you want an assistant grounded in the exact positions you already hold, that gap is the thing to weigh first. This holdings-aware angle is the one Walnut is built around: it connects the brokerage you already use and reasons from your live positions, read-only by default, with any trades left for you to approve.

Alpaca vs Ziggma: which should you choose?

There is no universal winner here; the right pick depends on the job you are hiring the tool for. Match the category to your intent rather than chasing a single “best.”

  • Choose Alpaca if you want developers building ai agents. Its AI official mcp server (data + execution), it is priced as free (open source), and it fits for builders: connect a broker to an ai agent. It is built for developers building their own automated or AI-driven trading systems. Keep in mind that developer-first; requires code and self-hosting.
  • Choose Ziggma if you want portfolio analytics and stock scoring for self-directed investors. Its AI scores stocks and analyses portfolio construction, it is priced as free tier plus a paid tier (verify current), and it fits ai stock research and scoring. It is built for a self-directed long-term investor who wants to understand portfolio-level effects before adding a position. Keep in mind that analysis and simulation only; it cannot place an order, so acting on anything means going back to your broker.

Because they sit in different categories, this is not strictly either-or: some investors use one for developers building ai agents and the other for portfolio analytics and stock scoring for self-directed investors, and just watch for overlapping costs.

Alpaca vs Ziggma: pricing and cost model

Cost is easy to misread when two tools charge in different shapes, so compare the model, not just the number. Alpaca is priced as free (open source), while Ziggma is priced as free tier plus a paid tier (verify current). A percentage-of-assets fee scales with your balance, a flat subscription does not, and a “free” tier usually earns elsewhere (on cash, order flow, or premium upgrades), so the cheapest headline is not always the cheapest outcome for your situation.

Pricing and tiers change often. Confirm the current numbers on each provider’s own site before you decide; the framing above is point-in-time.

Where Walnut fits

If neither quite fits, Walnut sits in a third category: chat-driven management of your own brokerage. It connects the brokerage you already use through SnapTrade, lets you analyze and manage it by talking through Claude or ChatGPT, build thematic portfolios around a thesis, and place trades you approve. Read-only by default. See Walnut vs Alpaca and Walnut vs Ziggma. Walnut is not an investment adviser.

Try Walnut on top of your broker

Walnut is the AI that knows your portfolio: ask anything in plain English, research any fund, and get an honest second opinion. On the broker you already use, read-only, and you approve every trade. Walnut is not a registered investment adviser.

FAQ

Is Alpaca or Ziggma better?

+

Neither is universally better, because they are built for different jobs. Alpaca is for builders: connect a broker to an ai agent and suits developers building ai agents. Ziggma is ai stock research and scoring and suits portfolio analytics and stock scoring for self-directed investors. Pick the one whose job matches what you actually want to do.

What is the difference between Alpaca and Ziggma?

+

Alpaca is for builders: connect a broker to an ai agent: official mcp server (data + execution). Ziggma is ai stock research and scoring: scores stocks and analyses portfolio construction. They solve different jobs, so the better choice depends on whether you want developers building ai agents or portfolio analytics and stock scoring for self-directed investors.

Is Alpaca or Ziggma better for beginners?

+

Ziggma is generally the more beginner-friendly of the two (portfolio analytics and stock scoring for self-directed investors). The other is better once you know what you want from it. Neither replaces understanding what you own.

Does Alpaca connect to my brokerage?

+

Alpaca: alpaca accounts (connects specific supported accounts). Ziggma: yes, for tracking (reads your real connected holdings). If keeping your current broker matters, that distinction is often the deciding factor.

Does Alpaca see my real holdings?

+

Alpaca connects a defined set of accounts (Alpaca accounts), so whether it can see your holdings depends on whether your money is at one of them. By contrast, Ziggma reads your real connected holdings: Ziggma connects your real brokerage (Yes, for tracking) and works from your actual positions, so its answers reflect what you genuinely own rather than a generic model.

Alpaca vs Ziggma: which is cheaper?

+

Alpaca is priced as free (open source); Ziggma is free tier plus a paid tier (verify current). The models are not always comparable (a percentage of assets is different from a flat subscription), so weigh cost against the job each does. Pricing and tiers change, so verify the current numbers on each provider's site before deciding.

Can I use Alpaca and Ziggma together?

+

Often yes, because they do different things. Many investors use one for developers building ai agents and the other for portfolio analytics and stock scoring for self-directed investors. Just watch for overlapping subscription costs and remember that trades ultimately settle in whatever account actually holds your money.

Who is Alpaca best for, and who is Ziggma best for?

+

Alpaca best fits developers building their own automated or AI-driven trading systems. Ziggma best fits a self-directed long-term investor who wants to understand portfolio-level effects before adding a position. If you see yourself in one description more than the other, that is usually the clearer signal than any single feature or price.

What are the main trade-offs between Alpaca and Ziggma?

+

Alpaca's main thing to watch is that developer-first: it assumes you can write code and self-host an agent. Ziggma's is that read-only, so every action still happens at your broker. Neither is a dealbreaker on its own; the right call is whichever trade-off you can most live with given what you actually want the tool to do.

Where does Walnut fit between Alpaca and Ziggma?

+

Walnut is a third option in a different category: chat-driven management of the brokerage you already use. It connects your real account, lets you analyze and manage it by talking through Claude or ChatGPT, build thematic portfolios, and place trades you approve. Your login stays with your broker and the connection is read-only by default. Walnut is not an investment adviser.

Related comparisons

Walnut is informational, not investment advice. Competitor features and pricing are point-in-time and change; verify the current details on each provider's site before deciding. Nothing here is a recommendation to use any particular product or security.

    Alpaca vs Ziggma: Which Is Better in 2026? - Walnut AI Investing App