Lindy vs. Zapier: Which is best? [2026]

AI still feels experimental for many businesses, but increasingly, there's a common endgame: agents (or "AI employees") that handle tasks autonomously. Agents have quickly gone from handling simple tasks, like logging meeting minutes, to more complex ones like project management and lead generation. Enterprises are using agents to get more done without raising headcount, and some ambitious solo founders are staying lean from day one by creating entire teams of agent helpers.

As exciting as agents are, they're most valuable when plugged directly into your business-critical systems. Zapier is an established AI orchestration platform used by the majority of the Fortune 1000; it uses agents to complement its broader ecosystem of app-to-app workflows, forms, chatbots, databases, and process mapping. Zapier Copilot, an AI assistant, works across all those products to create cohesive, reliable automated business systems.

Lindy is a far newer agent-first entrant to the AI automation space with a focus on agents, workflows, and app building. It's popular among solo founders, small businesses, and AI tinkerers. With unique features like computer use, voice calls, and built-in web scrapers, you can use Lindy to experiment with use cases like AI voice agents. But while Lindy's individual products are powerful, it isn't as ideal for creating full business systems; it also has a limited track record at scale, having just launched its enterprise offering in late 2025.

Here's a complete comparison to help you understand whether Zapier or Lindy works best for you.

Table of contents:

• Zapier vs. Lindy at a glance

• Both platforms offer powerful AI agents with different strengths

• Zapier has advanced workflows and full AI orchestration; Lindy focuses on agents and apps

• Zapier is proven at enterprise scale; Lindy Enterprise just launched

• Zapier's 8,000+ app connections are native; most of Lindy's run via third parties

• Zapier uses task-based pricing; Lindy's credit-based pricing makes it hard to predict costs

• Lindy vs. Zapier: Which is best?

Zapier vs. Lindy at a glance

Zapier is a proven AI orchestration platform connecting 8,000+ apps with comprehensive features for workflows, agents, chatbots, databases, and interfaces. Lindy is a newer platform focused on AI agents and app building with specialized capabilities like computer use, web scraping, and voice calls.

Here's a quick summary, but keep reading for more details.

Both platforms offer powerful AI agents with different strengths

Zapier Agents let you build automated assistants that connect with the 8,000+ apps in Zapier's ecosystem. Zapier Agents can fulfill specific roles in your organization, like lead enrichment, customer support, or project management. By grouping your agents into pods, you can quickly see the activities agents are handling in different areas of your business. You can also see at a glance whether any of your agents is waiting on you for feedback.

To create agents, you can use one of Zapier's agent templates or just ask Zapier Copilot to build whatever you need.

Once your agent is ready, you can add knowledge sources, define the tools your agent can access, customize instructions, and set a trigger.

For complex scenarios, you can chain multiple Zapier agents together. For example, you could create a Lead Qualifier Agent that hands leads off to a Research Agent after qualification. From there, a Personalization Agent could draft an outreach email before passing it to Gmail for your review.

Lindy publicly launched in 2024, so it's a newer player than Zapier, which has been around since 2011. Much like Zapier Copilot, Lindy's Agent Builder lets you use natural language prompts to build AI agents. If you prefer more structure, you can also use one of Lindy's 100+ agent templates.

When using Lindy's Agent Builder, you'll get a link that takes you to your completed agent a few seconds after entering your prompt. You can choose the trigger that prompts your agent to act—in this case, the end of a Zoom meeting—and customize your agent's role and skills, along with the AI model being used.

Lindy's agent-specific focus has resulted in some innovative features that are worth considering if you want to push the boundaries of what AI agents can do. For example, it can create agents that integrate computer use, phone calls, and web scraping.

• Computer use: When you need to complete tasks that can't be done with APIs or integrations—like sending personalized DMs via LinkedIn—you can add "Start Computer Session" to your workflow. Lindy will attempt to log in to websites and complete actions just like you would.

• Web scraping: You can create agents that scrape updated data from websites, Google, and Perplexity, among other sources. Lindy's partnership with Apify includes access to thousands of prebuilt scrapers that help you extract data from TikTok, Amazon, Google Maps, Instagram, and more.

• Phone calls: Lindy can create AI-powered voice agents that make outbound calls and handle inbound calls in 30+ languages. Helpful for use cases like customer support, outbound sales, and virtual receptionist.

Zapier Agents don't support voice calls, control browsers, or handle scraping natively. With the right integrations, you can build Zapier automations that handle some of these tasks—for example, Zapier integrates with Apify for web scraping—but it's not built to bring them together into a workflow like Lindy does.

For individual users and startups experimenting with specialized agents to do this sort of work, Lindy can be a good option. But for organizations that need to deploy agents across departments, Zapier offers more integrations and more built-in tools to support along the way.

Zapier has advanced workflows and full AI orchestration; Lindy focuses on agents and apps

When it comes to pure app-to-app automation, Lindy's capabilities aren't as advanced as Zapier's. A good example of this difference is Sub-Zaps, which are reusable mini-workflows that can be plugged into any Zapier automation. This can save a tremendous amount of time if you tend to perform the same steps in multiple automations, since any changes you make to your Sub-Zaps ripple across every workflow they're embedded in.

What if you want to create multiple paths (up to 10) and execute all of them, assuming the conditions for each are met? While Lindy lets you add multiple conditions to a workflow, it can only continue down one condition path per execution. Zapier handles that easily with Paths.

Zapier's workflow builder also lets you:

• Add fallback paths that run whenever other path branches fail

• Embed nested paths as a "step inside a step" to cover all possibilities

• Proactively define error handling for each step in advance

• Store data to use within the same workflow or in other workflows

• Reduce rate limiting errors by running paths sequentially instead of in parallel

And even beyond automation and agents, Zapier offers a full AI orchestration platform that makes your workflows more powerful by natively integrating other capabilities like databases, interfaces, and process mapping.

Zapier integrates everything seamlessly. With Zapier Copilot, you can create fully-realized business systems rather than one-off vibe-coded apps or single-purpose agents. If you've graduated from the "AI experimentation" phase and need reliable AI-powered systems that drive ROI, Zapier offers everything you need in one platform.

For example, this Zapier HR template helps hiring managers kick off their process with a multi-product workflow that includes chatbots, forms, automations, tables to store data, and a workflow diagram that ties everything together.

Lindy doesn't only do agents, but that's definitely its calling card. As I mentioned, you can use Lindy's flow builder to create simpler "if this, then that" automations—though since Lindy tries to create an agent out of everything by default, you might end up adding unnecessary cost and complication.

Apart from agents and automations, the other big standalone feature is Lindy Build, an AI app builder. By heading to Lindy's home screen and clicking the Build apps toggle, you can generate apps from plain English.

What separates Lindy Build from other vibe coding tools is the fact that it independently tests the apps it creates. After designing and publishing your app, Lindy engages its computer use feature to click around and makes sure everything works properly. It does a surprisingly thorough, human-like job of figuring out how to use the app, QAing each feature, and suggesting improvements.

Zapier is proven at enterprise scale; Lindy Enterprise just launched in 2025

Zapier has automated more than 80 billion tasks (including more than 360 million AI tasks) and has success stories ranging from car dealerships to NBA teams. It's used by some of the biggest brands in the world, including Asana, Calendly, Zendesk, and 69% of the Fortune 1000. This track record means Zapier is widely trusted for sensitive, high-volume business tasks.

Toyota of Orlando, a 500-person car dealership in Florida, uses Zapier to save 20+ hours per week with a 38-step AI workflow that extracts, cleans, and routes thousands of leads per month from multiple sources into Zapier Tables. Spencer Siviglia, the dealership's director of operations, now relies on Zapier as an all-purpose ops tool: when a ransomware attack disabled Toyota of Orlando's CRM for a month, Spencer avoided disruption by quickly spinning up a temporary replacement using Zapier.

Zapier Enterprise offers a 99.99% uptime SLA along with enterprise-friendly features like SCIM provisioning, comprehensive audit logging, and real-time alerts. You can manage all Zapier products in the Admin Center, making it simple to view audit logs, see user activity, manage permissions and approvals, and keep an eye on security risks.

Lindy has historically focused on helping founders and small businesses scale themselves with AI; its case studies focus on solo agencies, consultants, small SaaS companies, and medical practices.

In November 2025, Lindy launched Lindy Enterprise, which offers SSO, SCIM provisioning, audit logs, SOC 2 Type II certification, and HIPAA and GDPR compliance. You can manage agents, permissions, configurations, and credit allocations for your team from a single hub, and determine which AI models your team has access to for their agents.

Lindy's short enterprise track record might not matter for pilot projects, experimentation, or non-critical workflows. But with years of stress-testing at enterprise scale, Zapier is more reliable for business-critical workflows and more proven at handling edge cases, API changes, and unexpected load.

Zapier's 8,000+ app connections are native; most of Lindy's run via third parties

Zapier has spent 15 years meticulously building stable integrations with 8,000+ apps. As a result, it covers pretty much any app you can think of. Lindy launched in 2024 and initially built a few hundred native connections for popular apps like Gmail, Slack, Notion, and HubSpot. Now, after partnering with third-party services Pipedream Connect and Apify, Lindy officially connects with around 7,000+ apps.

Does it matter that Zapier's integrations have been built specifically for Zapier over a decade-and-a-half while Lindy relies mostly on prebuilt API connectors from other integration platforms? It might.

One reason for this is connector updates. APIs change often, and when they do, Zapier's team handles everything centrally—and carefully—to avoid breaking workflows for end users. Zapier offers a highly structured process for developers, including extensive documentation and processes like canary testing that allow low-risk, small-scale testing. As a result, Zapier's connections are exceedingly reliable and rarely require maintenance or troubleshooting on the part of end users.

Lindy also handles connector updates, but it doesn't have the same robust testing process or centrally-managed integration management system that Zapier has. Some of its app connections are native, but most are integrated via Pipedream Connect, which means if your workflow isn't running properly, you'll need to consider whether it's a Lindy problem, a Pipedream problem, or—as in the below issue from a user on Lindy's forum—a combination of the two.

By relying on third-party providers, some things are simply out of your control. Platform risk is real: for example, Lindy's primary integration partner Pipedream was recently acquired by Workday, which adds an element of uncertainty to the workflows built with those connectors.

Zapier's vertical management of all aspects of its integrations eliminates platform risk and guarantees far more control over how smoothly its connections work, when to QA them, and how frequently to release connector updates. If you build workflows and agents with Zapier, there's no question as to what level of service you'll receive.

Zapier uses predictable task-based pricing; Lindy's credit-based pricing makes it hard to predict costs

Lindy's Pro plan starts at $49.99/month for 5,000 credits (up to 1,500 tasks) and includes 30 phone calls per month. The Business plan starts at $199.99/month for 20,000 credits (up to 6,000 tasks) and includes 100 phone calls per month and the ability to make voice calls in multiple languages. Enterprise users get custom pricing and unlimited phone calls, which is important if you want to use Lindy for voice-heavy applications like sales calls. Lindy's Free plan gives you 400 credits per month (roughly 40 tasks) and access to a small selection of around 100 integrations.

If you have a team, you'll pay significantly more. Lindy's paid plans only offer one seat, and you need to pay $19.99/month per user to add more.

One unavoidable hurdle of Lindy's credit-based billing system is that it takes time and experience to figure out how many credits you actually need. Is 5,000 credits enough? 20,000? You won't really know until you sign up, run some tasks, and see what they cost. Certain tasks cause your usage to skyrocket: some basic tasks cost one credit, but sending a message on Slack costs 32 credits, and making a phone call costs 265 credits. Lindy has a full page in its documentation titled "Credit Optimization," which is a subject you'll need to understand intimately (and budget ongoing time for) if you want to avoid unnecessary expense with your agents and workflows.

Zapier's pricing makes things far simpler, and for most businesses, it also ends up being more affordable despite offering more features. You can start for free for 100 tasks per month or upgrade to the Professional plan starting at $19.99/month for 750 tasks, multi-step workflows, and advanced AI features. Zapier's Team plan starts at $69/month for 2,000 tasks and includes access for up to 25 users. You get up to 400 agent actions per month for free, or you can add the $50/month Zapier Agents Pro plan for 1,500 agent actions per month and up to 40 activities per Agent run.

Let's assume you need to give 15 users access to workflow automation and agents with a task count of 5,000 per month. With Zapier, you'd pay $119/month for the Team plan (which includes up to 25 seats at no extra cost) and another $50/month to add Agents Pro. With Lindy, assuming you use three credits per task on average, you'd pay nearly three times as much: $149.99/month for the Pro plan plus $300/month for the extra users.

Lindy vs. Zapier: Which is best?

Lindy is built for agents from the ground up and offers unique features, including computer use, web scraping, and phone calls. If you're a solo founder or small team looking to create voice AI agents or lightweight RPA workflows, or if you need access to lots of built-in web scrapers for data enrichment, Lindy is a good fit for those use cases.

Zapier's agents are powerful on their own, but they also work seamlessly with the rest of Zapier's product suite to create cohesive AI-powered business systems. For businesses looking for a proven AI automation platform that's reliable enough to handle critical data flows, Zapier is a better fit.

Choose Lindy if:

• You need specialized AI agent capabilities like computer use or phone calls

• You're a solo founder or small team experimenting with a wide range of agent use cases

• You don't mind navigating credit-based pricing and optimizing usage

• Your workflows don't require mission-critical reliability

• You need HIPAA for healthcare-related workflows

Choose Zapier if:

• You want proven reliability and enterprise-grade uptime

• You're building full AI business systems rather than single-purpose agents or apps

• You want access to 8,000+ natively-built, automatically-maintained integrations

• You prefer predictable task-based pricing that doesn't require credit optimization

• You're scaling AI workflows across teams and need robust governance features

To explore how Zapier fits into your enterprise automation strategy, connect with the Zapier team for a consultation. You can also create an account right now to start building AI workflows testing use cases.

Related reading:

• 5 examples of AI agents in the workplace

• The best AI agent builder software

• Zapier vs. OpenAI Agent Builder: What's the difference?