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Your full-service workflow consultancy.

We transform your business through our proven process. We create tailor-made solutions that deliver more efficient ways to get work done by combining the tools you already use with automation and AI.
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Services for Businesses

XRay professionals will research, build, and manage AI & automated workflows for your team.
  • Workflow Automation

    Automating routine tasks to save your team time, allowing them to focus on what really matters.
  • Workflow Design

    Optimizing processes for greater efficiency. We look for bottlenecks and create improvements.
  • Data & Systems Integration

    Securely, automatically and continuously moving data between databases or systems for seamless transitions and syncs.
  • AI Tools for Teams

    Integrating AI to enhance your team's capabilities and increase their capacity.
  • Training Content for Teams

    Educating your team to use their new systems effectively and intelligently.

Integrations for Product Teams

Seamlessly connect your app to popular automation platforms, boosting user retention while reducing churn.

We'll support this integration with clear tutorials that empower customers to solve problems on their own, freeing your team from routine support requests.

Xray Blog

Zapier vs. Make: Comparing Pricing, AI Features and More
Understanding Automation
November 5, 2025

Zapier and Make are two of the biggest names in workflow automation. If you're just getting started, or looking to expand your automation toolkit, you might not be sure which is the best choice.

Both providers can automate similar processes, but they take fundamentally different approaches. Based on years of experience in workflow design and automation, we've found that the question isn't really which one is "better" – it's which one fits your specific needs, technical comfort level, and budget.

In this comparison, we'll break down the key differences between Zapier and Make across several categories, including all of the AI features added recently. 

By the end, you'll know exactly which platform makes sense for your situation – or whether you might want to use both, like we do at XRay.

Ease of use and learning curve

When comparing Zapier and Make, ease of use is one of the key aspects that distinguishes the two providers. 

Zapier: Built for beginners

Zapier is very simple and beginner-friendly. You build automations called "Zaps" one step at a time in a linear setup, and everything is described in plain English. It's designed so that anyone can jump in and start automating without a technical background.

Zapier's simple UI for building automations

Key advantages: 

• Clear, plain-English interface 

• Helpful tooltips throughout 

• Linear, step-by-step workflow builder 

• Ideal for non-technical users in any industry or niche: marketing, HR, sales, etc.

A helpful tooltip in Zapier

Make: More powerful, steeper learning curve

Make isn't difficult per se, but it is considerably more technical than Zapier. The language and setup they use are often less clear, and there's definitely a steeper learning curve for non-technical users.

Make's UI for building automations

Trade-offs: 

• Fewer tooltips and guidance 

• More steps required for basic actions 

• Requires more technical intuition, trial & error

• More advanced options once you know what you're doing

Enabling advanced settings in a Make module

Real-world example: Setting up a Gemini AI prompt

To put these differences into a practical context, let’s look at an example automation. 

Say you want to automate a prompt in Google's Gemini AI. Both platforms support this, but the setup feels quite different.

In Zapier, it's very straightforward. 

The fields clearly describe everything you need – Model, System Instructions, Prompt and so on. 

Filling out fields to automate a Gemini prompt in Zapier

You just type or use dropdowns to enter data, and hit forward slash to bring up dynamic data from previous steps.

Inserting dynamic data into a Zapier automation

In Make, you need to create a new item under "messages" and choose your role as "user" – and none of this is explained. 

Configuring a Gemini prompt in Make

It's not that hard to figure out, but it definitely requires more technical intuition.

Winner: Zapier for ease of use

For beginners, Zapier is the clear winner with a much faster learning curve.

This is a theme you'll see throughout this comparison: Make gives you more control, but at the cost of simplicity. 

Pricing and value

When looking at base subscription tiers, it's clear that Make offers more affordable plans, but the devil is in the details.

Free tier comparison

Make's free tier: 

• 1,000 credits per month 

• 2 active scenarios 

• Most core features available

Zapier's free tier: 

• 100 tasks per month

• Only single-step automations (one trigger, one action)

• Essentially just a demo

Make wins handily on the free tier. Zapier's free plan isn't something you can rely on for company-wide automations.

Paid plan pricing

Make starts at $11 per month when paying monthly:

 • Unlimited active scenarios 

• 10,000 credits per month 

• Additional credits available for extra cost 

• Credits usually equal one automated action

Make pricing plans

Zapier starts at $30 per month for their Pro plan: 

• Multi-step Zaps unlocked 

• 750 tasks per month 

• Access to premium apps 

• Tasks equal one automated action

Zapier pricing plans

Zapier is about three times more expensive than Make when you're looking at base pricing, but there's a very important caveat to consider. 

The hidden cost: How usage is measured

Both platforms limit and measure usage based on automated actions – "Tasks" in Zapier and "Credits" in Make. If you need more than what's included in your base subscription, you'll have to pay more.

The polling trigger problem

This is where Make's pricing can become more expensive than it initially appears. 

One of the most common ways to start an automation (particularly for beginners) is to use a "polling trigger" – automations that check sources like Google Sheets, Notion databases, or Asana projects for new data at regular intervals.

A Notion polling trigger in Make

Here's the critical difference: 

• Zapier: When a polling trigger finds no new data, no tasks are used 

• Make: A polling trigger uses a credit every time it checks, whether it finds data or not

This means if you have a few automations checking for updates every 5 minutes, you could burn through your Make credits surprisingly fast. 

A single automation with a five-minute polling trigger will use about 8,000 credits a month just to check if it should run. Add in the actual runs, and you could consume your basic Make plan’s entire 10,000 credit allotment with just one automation.

Data transfer limits

Another hidden cost consideration: 

• Make: Limits your transferred data to 5gb per 10,000 credits in your plan

• Zapier: No data limit whatsoever

Data transfer limits in Make

If you're moving large files between apps, this is a huge deal. If your automations are processing videos or long audio recordings, Zapier could end up being cheaper than Make. 

Winner: It depends on your workflow

Think of it like budget vs. premium airlines. The budget option looks cheaper upfront, but once you factor in all the fees, the total cost might end up similar – or even more expensive.

Make wins if you: 

• Use instant triggers (like webhooks)

• Don't move large amounts of data

• Have a tight budget

Zapier wins if you:

• Rely heavily on polling triggers

• Process large files regularly

• Want predictable costs

Get help designing efficient automations

This kind of fine-tuned workflow design is something we specialize in at XRay. 

If you need help making sure your automations are running as efficiently as possible, or if you want to eliminate boring, repetitive work at your company, give us a call. 

We'll show you your options for flexible hourly support, or a long-term retainer for complete workflow transformation. 

We've helped our clients reduce time spent on tedious tasks by over 90%, resulting in thousands of hours back for more important work.

Ready to build automations that actually work? Schedule a free consultation with our team.

App integrations

Both Zapier and Make support thousands of app integrations, but there are some important differences in breadth and depth.

Integration library size

Zapier Integrations: 

• Over 8,800 apps available 

• Likely supports any web app you want to automate 

Integrations in Zapier

Make

• Over 3,000 apps available

• Covers most major tools businesses use

• Lacks native support for more niche applications

Integrations in Make

Depth vs. breadth

The real difference isn't just the number of apps – it's how deeply each platform integrates with them.

Make typically offers more granular control within each app integration: 

• More available actions 

• More configuration options 

• More advanced settings 

• Greater flexibility to build exactly what you need

Some of the advanced settings for Gemini AI in Make

Zapier's integrations tend to be more streamlined:

• Most commonly used actions for each app 

• Faster, easier setup 

• Occasionally missing specific actions or configurations you might need

Winner: Depends on your priorities

For more casual users, Zapier's broader app library gives it the edge. But if you need deep, granular control over specific apps, Make might be the better choice.

Complex workflows and flow control

For simple, linear automations, both platforms work well. But when you start building more complex workflows with multiple paths and conditional logic, the differences become more apparent.

Building more complex workflows with Make

Many experienced automators prefer using Make when they're working on more complicated automations. The difference largely comes down to visual layout and deeper integrations.

Visual workflow design

Zapier is really designed with simple, linear flows in mind. Once you start adding some paths, it can be difficult to see and understand the whole workflow at a glance.

An automation with branching paths in Zapier

Make's advantages for complex workflows: 

• More modular layout 

• See several branching paths all at once 

• Easy to move or copy steps while building 

• Easier to understand workflow logic at a glance

An automation with branching paths in Make

Inline functions and transformations

Make includes easy inline functions that let you run useful formulas in any module. You can use them to:

• Reformat dates 

• Run math calculations on the fly

• Transform text with drag-and-drop formulas

Using an inline formula in Make to reformat a date

There’s no need for separate steps, keeping your automated scenarios clean and simple. 

To run similar functions, Zapier requires separate formatter steps. 

Using a formatter step in Zapier to reformat a date/time value

These don't count against your task limit, but they add more clutter to your workflow, and make the builder interface harder to navigate. 

Winner: Make for advanced workflows

Zapier can definitely handle complex workflows with its features for branching paths, conditional logic, and filters. But most experienced builders find Make easier to work with for advanced automations. 

Also, as noted earlier, Make's more extensive options for each app make it easier to build sophisticated logic. There are a lot of options for automated actions that you just won't find in Zapier.

AI features

AI has become a major part of workflow automation. Both apps have evolved significantly here in the last couple of years, with Zapier even rebranding themselves as an "AI orchestration platform".

Zapier's home page describing their app as an "AI Orchestration Platform"

Both Zapier and Make now offer: 

• AI-assisted automation building 

• Automated AI prompting 

• Custom AI agent creation

Let’s take a closer look at the AI features available in both Zapier and Make. 

AI copilots: Helpful but limited

Both providers have AI copilots to help build automations. 

Using Zapier's AI copilot to build a Zap

However, in our experience, neither are very good at creating complete, working automations with all the settings you ask for. 

You're always going to have to fix mistakes and finish configuration on your own, which means you’ll still need to learn how to build automations yourself to use these platforms effectively. 

Fixing errors in Zapier copilot's work

Best uses for AI copilots: 

• Quickly assembling a rough draft of a simple automation
• Explaining unfamiliar features 

• Helping you figure out advanced settings

• General support and guidance

Automating AI prompts

Both platforms let you automate your prompts in popular AI tools like OpenAI, Anthropic, and Google's Gemini.

The main difference:

• Make: More advanced settings for power users 

• Zapier: Easier to set up

Both platforms also give you the option to automate your AI prompts using your own developer accounts, or to use their own internal tools. 

Using external APIs

This approach requires you to: 

• Set up an account with your AI platform's API 

• Create an API key for the automation provider 

• Get billed based on usage when prompts run

Creating an API key to automate Gemini AI

Built-in AI tools

If you want to keep your costs lower, both platforms offer built-in AI that doesn't require API setup: AI by Zapier, and Make AI Toolkit.

AI by Zapier: 

• Free prompts with select models 

• Easy to split AI outputs into separate variables 

• Each prompt uses one task

A prompt in Zapier AI with structured output

Make AI Toolkit: 

• No API charges 

• Variable credit usage based on tokens consumed 

• Longer or more advanced prompts may use multiple credits 

• Harder to predict costs

Variable AI pricing in Make

The bottom line: Zapier is definitely the easiest way to automate AI prompts as a no-code builder, though Make will probably cost you less in most situations.

AI agents and Model Context Protocol

Using Zapier and Make, you can build customized AI agents that automatically perform actions in your other software. 

Your AI agents can run any action that you can automate with the thousands of apps connected to Zapier or Make, such as:

• Drafting emails in Gmail 

• Adding database items to Notion 

• Finding data in Hubspot 

• And much, much more

Both platforms recently added support for Model Context Protocol, letting you connect AI tools like Claude directly to your automation providers.

Zapier MCP: Simple but expensive

Setting up an MCP server in Zapier

Setup: 

• Create a new server with a few clicks 

• Select the apps you want to access 

• Ask Claude to do whatever you want in your software

Using Zapier MCP in Claude

Cost: 

• Each call uses 2 tasks from your plan 

• Can get expensive quickly

Make MCP: Complex but budget-friendly

Setup: 

• Build individual scenarios for each action you want to automate 

• Much longer setup time 

• More technical configuration required

Cost: 

• Credit usage based on prompt complexity 

• Generally cheaper than Zapier, but cost varies

Winner: Zapier for simplicity, Make for budget

If you're looking to build an AI agent, Zapier wins on simplicity. Make will likely cost you less, but take more time to set up.

Final recommendations

Here's how to choose between Zapier and Make based on your specific situation.

Choose Zapier if you:

• Are new to automation and want the easiest learning curve 

• Need the most accessible way to create simple, reliable workflows 

• Want straightforward AI features without technical complexity 

• Need to automate apps that might not be available in Make 

• Use polling triggers heavily 

• Process large files regularly 

• Value predictable, transparent pricing

Choose Make if you:

• Are working with a tight budget

• Need to build complex workflows with multiple branching paths 

• Want granular control over each automated action 

• Use instant triggers instead of polling

• Have some technical comfort and are willing to experiment 

• Don't move large amounts of data between apps

Try both

If you're just getting started with automation, we'd recommend trying both free tiers to get a feel for which approach resonates with you.

You can also explore our beginner’s guides to learn how to start automating your work with both providers. 

Zapier Beginner’s Guide

Make Beginner’s Guide

Remember: You don't have to pick just one. Many teams use both tools for different types of automations. You can even have an automation in one provider trigger an automation in the other.

At XRay, many of our workflows involve passing data between both Zapier and Make. 

Stop doing the boring parts of your job – let automation do it for you

Whether you choose Zapier, Make, or both, the goal is the same: radically transform your workflow so that nothing is fully manual. At XRay, we help businesses design and implement these transformations every day.

Ready to stop doing your job and start orchestrating it? Schedule a free consultation with our team to discuss how automation can transform your business.

Read more
XRay + Low Code Engineers
Photos of Xray and LowCodeEngineers team members

Looking for short-term support or collaboration on your low-code project? With LowCodeEngineers, you can learn and build with vetted experts on a flexible hourly basis.

Learn more about LowCodeEngineers

Not sure where to start?

Hop on a 15-minute call with an XRay automation consultant to discuss your options and learn more about how we can help your team to get more done.
Schedule a call

Xray Blog

Zapier vs. Make: Comparing Pricing, AI Features and More
Understanding Automation
November 5, 2025

Zapier and Make are two of the biggest names in workflow automation. If you're just getting started, or looking to expand your automation toolkit, you might not be sure which is the best choice.

Both providers can automate similar processes, but they take fundamentally different approaches. Based on years of experience in workflow design and automation, we've found that the question isn't really which one is "better" – it's which one fits your specific needs, technical comfort level, and budget.

In this comparison, we'll break down the key differences between Zapier and Make across several categories, including all of the AI features added recently. 

By the end, you'll know exactly which platform makes sense for your situation – or whether you might want to use both, like we do at XRay.

Ease of use and learning curve

When comparing Zapier and Make, ease of use is one of the key aspects that distinguishes the two providers. 

Zapier: Built for beginners

Zapier is very simple and beginner-friendly. You build automations called "Zaps" one step at a time in a linear setup, and everything is described in plain English. It's designed so that anyone can jump in and start automating without a technical background.

Zapier's simple UI for building automations

Key advantages: 

• Clear, plain-English interface 

• Helpful tooltips throughout 

• Linear, step-by-step workflow builder 

• Ideal for non-technical users in any industry or niche: marketing, HR, sales, etc.

A helpful tooltip in Zapier

Make: More powerful, steeper learning curve

Make isn't difficult per se, but it is considerably more technical than Zapier. The language and setup they use are often less clear, and there's definitely a steeper learning curve for non-technical users.

Make's UI for building automations

Trade-offs: 

• Fewer tooltips and guidance 

• More steps required for basic actions 

• Requires more technical intuition, trial & error

• More advanced options once you know what you're doing

Enabling advanced settings in a Make module

Real-world example: Setting up a Gemini AI prompt

To put these differences into a practical context, let’s look at an example automation. 

Say you want to automate a prompt in Google's Gemini AI. Both platforms support this, but the setup feels quite different.

In Zapier, it's very straightforward. 

The fields clearly describe everything you need – Model, System Instructions, Prompt and so on. 

Filling out fields to automate a Gemini prompt in Zapier

You just type or use dropdowns to enter data, and hit forward slash to bring up dynamic data from previous steps.

Inserting dynamic data into a Zapier automation

In Make, you need to create a new item under "messages" and choose your role as "user" – and none of this is explained. 

Configuring a Gemini prompt in Make

It's not that hard to figure out, but it definitely requires more technical intuition.

Winner: Zapier for ease of use

For beginners, Zapier is the clear winner with a much faster learning curve.

This is a theme you'll see throughout this comparison: Make gives you more control, but at the cost of simplicity. 

Pricing and value

When looking at base subscription tiers, it's clear that Make offers more affordable plans, but the devil is in the details.

Free tier comparison

Make's free tier: 

• 1,000 credits per month 

• 2 active scenarios 

• Most core features available

Zapier's free tier: 

• 100 tasks per month

• Only single-step automations (one trigger, one action)

• Essentially just a demo

Make wins handily on the free tier. Zapier's free plan isn't something you can rely on for company-wide automations.

Paid plan pricing

Make starts at $11 per month when paying monthly:

 • Unlimited active scenarios 

• 10,000 credits per month 

• Additional credits available for extra cost 

• Credits usually equal one automated action

Make pricing plans

Zapier starts at $30 per month for their Pro plan: 

• Multi-step Zaps unlocked 

• 750 tasks per month 

• Access to premium apps 

• Tasks equal one automated action

Zapier pricing plans

Zapier is about three times more expensive than Make when you're looking at base pricing, but there's a very important caveat to consider. 

The hidden cost: How usage is measured

Both platforms limit and measure usage based on automated actions – "Tasks" in Zapier and "Credits" in Make. If you need more than what's included in your base subscription, you'll have to pay more.

The polling trigger problem

This is where Make's pricing can become more expensive than it initially appears. 

One of the most common ways to start an automation (particularly for beginners) is to use a "polling trigger" – automations that check sources like Google Sheets, Notion databases, or Asana projects for new data at regular intervals.

A Notion polling trigger in Make

Here's the critical difference: 

• Zapier: When a polling trigger finds no new data, no tasks are used 

• Make: A polling trigger uses a credit every time it checks, whether it finds data or not

This means if you have a few automations checking for updates every 5 minutes, you could burn through your Make credits surprisingly fast. 

A single automation with a five-minute polling trigger will use about 8,000 credits a month just to check if it should run. Add in the actual runs, and you could consume your basic Make plan’s entire 10,000 credit allotment with just one automation.

Data transfer limits

Another hidden cost consideration: 

• Make: Limits your transferred data to 5gb per 10,000 credits in your plan

• Zapier: No data limit whatsoever

Data transfer limits in Make

If you're moving large files between apps, this is a huge deal. If your automations are processing videos or long audio recordings, Zapier could end up being cheaper than Make. 

Winner: It depends on your workflow

Think of it like budget vs. premium airlines. The budget option looks cheaper upfront, but once you factor in all the fees, the total cost might end up similar – or even more expensive.

Make wins if you: 

• Use instant triggers (like webhooks)

• Don't move large amounts of data

• Have a tight budget

Zapier wins if you:

• Rely heavily on polling triggers

• Process large files regularly

• Want predictable costs

Get help designing efficient automations

This kind of fine-tuned workflow design is something we specialize in at XRay. 

If you need help making sure your automations are running as efficiently as possible, or if you want to eliminate boring, repetitive work at your company, give us a call. 

We'll show you your options for flexible hourly support, or a long-term retainer for complete workflow transformation. 

We've helped our clients reduce time spent on tedious tasks by over 90%, resulting in thousands of hours back for more important work.

Ready to build automations that actually work? Schedule a free consultation with our team.

App integrations

Both Zapier and Make support thousands of app integrations, but there are some important differences in breadth and depth.

Integration library size

Zapier Integrations: 

• Over 8,800 apps available 

• Likely supports any web app you want to automate 

Integrations in Zapier

Make

• Over 3,000 apps available

• Covers most major tools businesses use

• Lacks native support for more niche applications

Integrations in Make

Depth vs. breadth

The real difference isn't just the number of apps – it's how deeply each platform integrates with them.

Make typically offers more granular control within each app integration: 

• More available actions 

• More configuration options 

• More advanced settings 

• Greater flexibility to build exactly what you need

Some of the advanced settings for Gemini AI in Make

Zapier's integrations tend to be more streamlined:

• Most commonly used actions for each app 

• Faster, easier setup 

• Occasionally missing specific actions or configurations you might need

Winner: Depends on your priorities

For more casual users, Zapier's broader app library gives it the edge. But if you need deep, granular control over specific apps, Make might be the better choice.

Complex workflows and flow control

For simple, linear automations, both platforms work well. But when you start building more complex workflows with multiple paths and conditional logic, the differences become more apparent.

Building more complex workflows with Make

Many experienced automators prefer using Make when they're working on more complicated automations. The difference largely comes down to visual layout and deeper integrations.

Visual workflow design

Zapier is really designed with simple, linear flows in mind. Once you start adding some paths, it can be difficult to see and understand the whole workflow at a glance.

An automation with branching paths in Zapier

Make's advantages for complex workflows: 

• More modular layout 

• See several branching paths all at once 

• Easy to move or copy steps while building 

• Easier to understand workflow logic at a glance

An automation with branching paths in Make

Inline functions and transformations

Make includes easy inline functions that let you run useful formulas in any module. You can use them to:

• Reformat dates 

• Run math calculations on the fly

• Transform text with drag-and-drop formulas

Using an inline formula in Make to reformat a date

There’s no need for separate steps, keeping your automated scenarios clean and simple. 

To run similar functions, Zapier requires separate formatter steps. 

Using a formatter step in Zapier to reformat a date/time value

These don't count against your task limit, but they add more clutter to your workflow, and make the builder interface harder to navigate. 

Winner: Make for advanced workflows

Zapier can definitely handle complex workflows with its features for branching paths, conditional logic, and filters. But most experienced builders find Make easier to work with for advanced automations. 

Also, as noted earlier, Make's more extensive options for each app make it easier to build sophisticated logic. There are a lot of options for automated actions that you just won't find in Zapier.

AI features

AI has become a major part of workflow automation. Both apps have evolved significantly here in the last couple of years, with Zapier even rebranding themselves as an "AI orchestration platform".

Zapier's home page describing their app as an "AI Orchestration Platform"

Both Zapier and Make now offer: 

• AI-assisted automation building 

• Automated AI prompting 

• Custom AI agent creation

Let’s take a closer look at the AI features available in both Zapier and Make. 

AI copilots: Helpful but limited

Both providers have AI copilots to help build automations. 

Using Zapier's AI copilot to build a Zap

However, in our experience, neither are very good at creating complete, working automations with all the settings you ask for. 

You're always going to have to fix mistakes and finish configuration on your own, which means you’ll still need to learn how to build automations yourself to use these platforms effectively. 

Fixing errors in Zapier copilot's work

Best uses for AI copilots: 

• Quickly assembling a rough draft of a simple automation
• Explaining unfamiliar features 

• Helping you figure out advanced settings

• General support and guidance

Automating AI prompts

Both platforms let you automate your prompts in popular AI tools like OpenAI, Anthropic, and Google's Gemini.

The main difference:

• Make: More advanced settings for power users 

• Zapier: Easier to set up

Both platforms also give you the option to automate your AI prompts using your own developer accounts, or to use their own internal tools. 

Using external APIs

This approach requires you to: 

• Set up an account with your AI platform's API 

• Create an API key for the automation provider 

• Get billed based on usage when prompts run

Creating an API key to automate Gemini AI

Built-in AI tools

If you want to keep your costs lower, both platforms offer built-in AI that doesn't require API setup: AI by Zapier, and Make AI Toolkit.

AI by Zapier: 

• Free prompts with select models 

• Easy to split AI outputs into separate variables 

• Each prompt uses one task

A prompt in Zapier AI with structured output

Make AI Toolkit: 

• No API charges 

• Variable credit usage based on tokens consumed 

• Longer or more advanced prompts may use multiple credits 

• Harder to predict costs

Variable AI pricing in Make

The bottom line: Zapier is definitely the easiest way to automate AI prompts as a no-code builder, though Make will probably cost you less in most situations.

AI agents and Model Context Protocol

Using Zapier and Make, you can build customized AI agents that automatically perform actions in your other software. 

Your AI agents can run any action that you can automate with the thousands of apps connected to Zapier or Make, such as:

• Drafting emails in Gmail 

• Adding database items to Notion 

• Finding data in Hubspot 

• And much, much more

Both platforms recently added support for Model Context Protocol, letting you connect AI tools like Claude directly to your automation providers.

Zapier MCP: Simple but expensive

Setting up an MCP server in Zapier

Setup: 

• Create a new server with a few clicks 

• Select the apps you want to access 

• Ask Claude to do whatever you want in your software

Using Zapier MCP in Claude

Cost: 

• Each call uses 2 tasks from your plan 

• Can get expensive quickly

Make MCP: Complex but budget-friendly

Setup: 

• Build individual scenarios for each action you want to automate 

• Much longer setup time 

• More technical configuration required

Cost: 

• Credit usage based on prompt complexity 

• Generally cheaper than Zapier, but cost varies

Winner: Zapier for simplicity, Make for budget

If you're looking to build an AI agent, Zapier wins on simplicity. Make will likely cost you less, but take more time to set up.

Final recommendations

Here's how to choose between Zapier and Make based on your specific situation.

Choose Zapier if you:

• Are new to automation and want the easiest learning curve 

• Need the most accessible way to create simple, reliable workflows 

• Want straightforward AI features without technical complexity 

• Need to automate apps that might not be available in Make 

• Use polling triggers heavily 

• Process large files regularly 

• Value predictable, transparent pricing

Choose Make if you:

• Are working with a tight budget

• Need to build complex workflows with multiple branching paths 

• Want granular control over each automated action 

• Use instant triggers instead of polling

• Have some technical comfort and are willing to experiment 

• Don't move large amounts of data between apps

Try both

If you're just getting started with automation, we'd recommend trying both free tiers to get a feel for which approach resonates with you.

You can also explore our beginner’s guides to learn how to start automating your work with both providers. 

Zapier Beginner’s Guide

Make Beginner’s Guide

Remember: You don't have to pick just one. Many teams use both tools for different types of automations. You can even have an automation in one provider trigger an automation in the other.

At XRay, many of our workflows involve passing data between both Zapier and Make. 

Stop doing the boring parts of your job – let automation do it for you

Whether you choose Zapier, Make, or both, the goal is the same: radically transform your workflow so that nothing is fully manual. At XRay, we help businesses design and implement these transformations every day.

Ready to stop doing your job and start orchestrating it? Schedule a free consultation with our team to discuss how automation can transform your business.

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Tool Agnostic
API Experts
5,000+ Automations
Under Management
10,000+
Hours Created
500+
Teams Helped
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