The Best AI Workflow Marketplaces in 2026

"AI workflow marketplace" now covers very different products. Some hand you a template and leave you to host it, connect your accounts and fix it when it breaks. Some run a finished workflow for you and charge for the result. Some sell a single-purpose tool, like a scraper or an image generator, that runs on their cloud.

So the right one depends on one question: do you want to run the workflow yourself, or do you want the result?

A disclosure before we start: we build Edgaze, and it is on this list. We've tried to describe every product the way its own documentation does, to say plainly where the others are stronger, and to link the source for every claim. Prices and features change; everything here was checked in early November 2026.

Before comparing products, it helps to know which kind you're looking at. Almost every option falls into one of three models.

1. Template libraries. You copy a workflow into your own account and run it there. The template is free or cheap, but you pay for the platform plan, connect every app it touches, supply your own AI model keys (or pay the platform's AI usage), and maintain it. n8n, Zapier, Make and Gumloop templates work this way. This is the right model when the automation is internal and you want to own every step.

2. Tool and actor stores. Each listing is a single program, built by a developer, that runs on the store's cloud. You give it inputs and get outputs, and you pay for usage. The Apify Store and PromptBase's app store work this way. Listings tend to do one job well: scrape a site, generate an image.

3. Run-it-for-you workflow marketplaces. A creator publishes a complete multi-step AI workflow, and the marketplace hosts it and runs it for whoever buys a run. You never see the plumbing, you never connect a model provider, and you know the price before you start. Edgaze works this way, and Relevance AI's marketplace of agents and tools sits between this model and the first one.

The difference that matters most is who carries the operating work: the setup, the API keys, the model updates, the 2 a.m. failure. In a template library it's you. In the other two it's the creator and the platform.

We looked at the same six things for each marketplace:

• Who runs the workflow: you, on your own account, or the marketplace.
• What you pay, and whether you know the cost before you run.
• Setup before the first useful result: accounts, keys and configuration.
• Maintenance: who fixes it when an app's API or an AI model changes.
• Whether AI agents can use it, for example from Claude, ChatGPT or Cursor over MCP (the Model Context Protocol).
• Whether creators can sell on it, for anyone who wants to be on the other side of the table.

Edgaze is a marketplace of runnable AI workflows. You open a workflow, read what it does, fill in its inputs and press Run. Edgaze runs every step (the model calls, the web searches, the formatting) and shows you the result. You don't create an account with any AI provider, paste an API key or host anything.

How paying works. Each workflow has one fixed price per run, shown before you start: the creator's margin plus hosted compute. It doesn't change with the length of your input inside the workflow's limit, so there are no token counts and no surprise bills. You fund runs from a wallet or a bundle, with no subscription required. An ordinary failed or cancelled run releases the hold without charging the creator's margin. Many workflows also include a free demo run with your own inputs, so you can see real output before paying anything. The details are on the pricing page.

Where it runs. The same published workflow runs from its marketplace page, from the REST API, or from an AI assistant such as Claude or Cursor over MCP. That last part is unusual: an agent can search the marketplace, inspect a workflow's inputs and price, start a run and watch it finish, all against the same product a human buyer sees. If you run workflows from your own app, the API gives you run status and webhooks.

Who maintains it. The creator maintains the workflow and Edgaze maintains the runtime. When a model is retired or a provider changes, keeping the workflow working is their job, not yours as a buyer.

For creators. Anyone can build a workflow in Workflow Studio, publish it with a product page and a demo, and set their own margin per run. Creators keep 80% of that margin on every successful run, and compute is not deducted from their earnings.

Where it's weaker. Edgaze's integration catalogue is much narrower than Zapier's or Make's, so it's the wrong tool for wiring together your CRM, inbox and spreadsheet. There's no self-hosted edition, and buyers can't open up a workflow and edit its steps; you're buying the result, not the source.

Best for: people and teams who want a finished outcome today, and developers or AI agents that need to call a reliable workflow by API or MCP.

Less suited to: internal automations across many SaaS apps, and teams that must self-host.

n8n is an open, node-based automation platform you can run on n8n Cloud or host yourself. Its template library is the largest free collection of AI automation templates there is; independent counts put it at roughly 9,000 to 10,000 community workflows in 2026, many of them built around its AI Agent node.

How it works. You import a template into your n8n instance, connect your own credentials for every app and model it uses, and run it yourself. Because you own the instance, you can edit any step, add code nodes and keep data inside your own infrastructure. n8n's MCP Server Trigger lets you expose your own workflows to AI clients, and the public API lets you manage them.

What it costs. The templates are free. You pay for n8n Cloud or your own hosting, plus whatever your AI providers charge for the tokens your runs use. Check the n8n pricing page and the Sustainable Use License if you plan to use the self-hosted edition commercially.

Where it's weaker. Templates are community-built, so quality varies and many assume a specific setup. The first useful result can take an afternoon of connecting accounts and debugging, and when an API or model changes, fixing it is your job.

Best for: engineering-minded teams that want to own, edit and self-host every step. See Edgaze vs n8n.

Zapier is the broadest app-automation platform, with 9,000+ apps in its directory. Its template library covers thousands of ready-made Zaps, a growing number with AI steps, and Zapier Agents adds AI teammates that act across your connected tools.

How it works. You pick a template, connect the apps it uses, adjust the fields and turn it on. The template is a starting configuration for your own account rather than a product someone sells you.

AI agents. Zapier MCP gives Claude, ChatGPT, Cursor and other assistants access to actions across Zapier's app ecosystem. Per Zapier's own docs, each successful tool call uses two tasks from your plan.

What it costs. Your Zapier plan, measured in tasks. Agents are measured separately in activities.

Where it's weaker. Zapier is built for moving data between apps on your own account. Complex multi-step AI reasoning is possible but is not its centre of gravity, and task-based pricing can climb quickly for high-volume AI flows.

Best for: non-developers who want AI steps inside everyday app automations. See Edgaze vs Zapier.

Make is a visual scenario builder with a large integration catalogue, routers, filters and strong operational controls. Its template gallery gives you starting scenarios, and Make AI Agents runs AI steps inside the same canvas.

How it works. You copy a template into your workspace, connect your apps and adapt the scenario. Make's MCP Server turns your scenarios into tools that ChatGPT, Claude or Cursor can call.

What it costs. Your Make plan, in credits. Most ordinary app operations use one credit; Make-hosted AI features can add token-based usage on top.

Where it's weaker. Like Zapier, you're the operator. The visual canvas is powerful, but complex scenarios take real time to learn, and templates are starting points rather than finished products.

Best for: operations teams that want to see and control every branch of an automation. See Edgaze vs Make.

Gumloop is a no-code AI automation builder aimed at teams that want to build agents and flows without engineers. Its templates are starting points you copy into your workspace and adapt.

How it works. You build or copy a flow on Gumloop's canvas, connect your tools and company knowledge, then trigger it by schedule, webhook or API. Gumloop can publish agents as hosted pages, Slack apps or email inboxes for your team. The Gumloop MCP server connects AI clients to your Gumloop account.

What it costs. A Gumloop plan metered in credits. Workflow costs are designed to be predictable; agent costs vary with the tokens and tools an agent uses.

Where it's weaker. It's a building environment, not a marketplace of finished products. You still own the workflow once you copy it, including keeping it working.

Best for: non-developers who want to build and run their own AI automations. See Edgaze vs Gumloop.

The Apify Store lists thousands of ready-made "Actors": serverless programs for scraping, crawling and browser automation that run on Apify's cloud. Third-party counts put the store well past 20,000 listings in 2026.

How it works. You open an Actor, fill in its input form (a URL, a search term, a limit) and run it. Results land in datasets you can download or pull through the Apify API. Apify handles proxies, browsers and storage, which is most of the pain in scraping.

What it costs. Each Actor sets its own price. Most now use pay-per-event pricing (for example, a price per 1,000 results), and Apify's older rental model was retired in 2026. Some Actors also charge platform usage separately, so read each one's pricing tab.

AI agents. Apify's MCP server lets agents search the store, run Actors and read the results.

Where it's weaker. It's specialised. Actors are excellent at getting data, but turning that data into a finished piece of work (a report, a set of emails, a ranked list) is usually a second job you do elsewhere.

Best for: collecting web data at scale. See Edgaze vs Apify.

Relevance AI is a platform for building AI agents and tools, and its marketplace lists agents and tools other builders have published, across sales, marketing, operations and support. Each listing shows its price, and free listings are marked.

How it works. You clone a listing into your Relevance workspace, connect the tools it uses and run it there. Paid listings let builders charge, and Relevance says it takes no cut of builder revenue beyond Stripe's fee.

What it costs. Your Relevance AI plan plus any listing price. Public pricing has shifted toward sales-led plans in 2026, so check the current plans before committing.

Where it's weaker. It assumes you're adopting Relevance as your agent platform. A listing isn't something you can run once without a workspace.

Best for: sales and operations teams standing up several agents on one platform.

PromptBase started as a prompt marketplace and now has an app store of small AI apps built from prompts: stickers, art styles, video and small games. Apps go through a short review before they're listed.

How it works. You open an app, type your input and generate. Apps run on PromptBase and are paid for in generation credits, which you buy by subscription or top-up. Creators set a price above a base cost and choose how they're paid out.

Where it's weaker. Apps are single-step and mostly creative. They're not built for multi-step research, analysis or business work, and there's little programmatic or agent access.

Best for: people who want an image or a short video from a ready-made app. See Edgaze vs PromptBase.

Template libraries look cheapest because the template is free. The real cost is everything around it:

• Setup time. Connecting accounts, creating API keys with the right permissions and testing edge cases. For a non-trivial AI template, a few hours is normal.
• Model bills. In a template library you pay your AI provider directly, by the token. A workflow that reads long documents or loops can cost far more than you expect, and you only find out afterwards.
• Maintenance. Apps change their APIs, models are retired, and prompts that worked on one model drift on the next. Every one of those is a ticket for whoever owns the instance.
• Failure handling. When a run fails halfway, you pay for the steps that ran and you debug it.

Run-it-for-you marketplaces move those costs onto the creator and the platform, which is why they charge per run. Whether that's a good deal depends on how often you'd run the workflow and how much your own time is worth. For a job you'll run a few times a month, paying per result is almost always cheaper than building. For an automation that runs thousands of times a day inside your own systems, owning it usually wins.

Match the marketplace to the job:

• "I want the finished result today, no setup." Edgaze. Try a free demo run on the marketplace with your own inputs first.
• "An AI agent or my app needs to call a workflow." Edgaze over MCP or the REST API if you want someone else to maintain it; n8n or Make if you want to build and host it.
• "I want to automate my own apps and own every step." n8n if you're technical and want to self-host; Zapier for the widest app coverage; Make for visual control.
• "My team doesn't code but wants to build AI agents." Gumloop or Relevance AI.
• "I need data from websites." The Apify Store.
• "I want a quick image or video." PromptBase apps.

Plenty of teams use more than one: Zapier or n8n for internal plumbing, Apify for data, and Edgaze for finished AI work they'd rather buy than build.

Most of these marketplaces are built for buyers who'll do the work themselves, so there's nowhere to sell a template. If you've built an AI workflow other people would pay to run, you have three real options: sell an Actor on Apify (if it's a data job), sell a single-step app on PromptBase (if it's creative), or publish it as a runnable product on Edgaze, set your own price per run and keep 80% of your margin. See Edgaze vs Gumroad for why selling a runnable workflow beats selling a download.

Sources: n8n workflow templates, n8n pricing, n8n MCP Server Trigger; Zapier templates, What is Zapier MCP, Zapier MCP usage; Make templates, Make pricing; Gumloop pricing, Gumloop credits, Gumloop MCP server; Apify Store, Apify pay-per-event, Apify MCP; Relevance AI marketplace, Relevance builder payouts; PromptBase apps; Edgaze pricing, Edgaze MCP. Last verified 7 November 2026.