MultiOn is one of the more ambitious web-action agent products to come out of the recent wave. Founded by Div Garg and Naman Garg, it set out to give developers an Agent API that takes real actions on the web: navigating sites, filling out forms, booking, and ordering on behalf of a user or an app you build (MultiOn, retrieved 2026). For an engineer who wants to embed a web-action agent into their own product, that is a genuinely useful primitive, and the team has shipped fast on a hard problem.
This piece walks through what MultiOn is in 2026, what Gravity does differently, and the moments where one wins decisively over the other. MultiOn is a fast-moving startup, so current product specifics are treated as uncertain and flagged rather than asserted. The honest headline up front: MultiOn and Gravity serve different people. One is for developers who build; one is for operators who run. Accuracy matters more than selling the wrong tool.
What MultiOn is, and where it actually shines
MultiOn is a developer-first platform for web-action agents. Instead of a chat box for end users, the core product is an API: you call it from your own code and instruct an agent to carry out a task on the web, such as opening a site, navigating through pages, filling in fields, and completing an action like a booking or an order (MultiOn, retrieved 2026). The audience is clear: engineers and product teams who want web-action capability inside their own software.
The programmable web-action model
The thing MultiOn gets right is treating web actions as a programmable primitive. Many tasks that matter to a business live behind a website with no clean API: a supplier portal, a booking system, an internal tool. MultiOn's pitch is that you can drive those surfaces from code through an agent, rather than maintaining brittle scripts yourself. For a developer, an API that abstracts the navigate-and-act loop is a real lever.
Embeddable inside your own product
Because MultiOn is an API, the agent lives inside whatever you build. You decide the user experience, the guardrails, the surrounding logic, and how the web-action step fits into a larger flow. For a team building a vertical product, say a travel app or an operations tool, that control is exactly what you want; you are not adopting someone else's finished interface, you are wiring a capability into yours.
Where MultiOn is excellent
Three places where MultiOn is the clear pick. A developer building a product that needs to take actions on sites without public APIs. A team that wants fine-grained programmatic control over how an agent navigates and acts. And any project where the web-action loop is one piece of a larger system you are engineering. If your starting point is an API key and a code editor, MultiOn speaks your language. For a wider view of this category, see our roundup of the best AI agents in 2026.
What Gravity does differently
Gravity removes the code step entirely. You describe the outcome you want in plain language, and Gravity matches you with an expert-built agent that runs it in about 60 seconds. There is no API to call, no integration to write, no guardrails to design before you get value. An expert already did that work, tested the agent, and brought it to the platform. You pay per use, $1 buys 1,000 credits, with no subscription required. For the shape of the whole platform, see how Gravity works.
The trade-off is honest. By removing the API, Gravity gives up the deep programmatic control that developers value. MultiOn lets you shape every call, every parameter, and the surrounding system. Gravity hands you a finished agent and the levers you get are the prompt and the result, not the internal wiring. If you are an engineer who wants to build the experience yourself, that is a real loss; if you are an operator who wants the outcome, it is the point.
How the platform is structured
Gravity is the platform that runs the agents. Users describe an outcome and pay per use, and Gravity carries the execution cost and the platform overhead. Expert builders build and maintain agents for Gravity, and Gravity pays them for that work. That structure is the difference from a developer toolkit: with MultiOn you write the code and own the result, with Gravity an expert builds and tests once and the platform runs it for everyone. For more on telling these categories apart, see AI agent vs chatbot vs assistant.
Side-by-side comparison
The honest comparison runs along ten dimensions. Below is how the two products stack up as of 2026. Where a current MultiOn detail is uncertain, that is flagged rather than invented, because the product is moving fast.
| Dimension | MultiOn | Gravity |
|---|---|---|
| Pricing model | Developer API pricing, usage-based | Pay per use, $1 = 1,000 credits, no subscription |
| Setup time | Write code against the API, hours to days | Describe the outcome, run in about 60 seconds |
| Who builds the agents | You do, in your own code | Vetted expert builders |
| No-code vs code | Code-first; built for developers | No build at all; plain-language prompt |
| Who maintains the agents | You do, for your own product | Expert builders, paid by Gravity to build for the platform |
| Core capability | Web actions: navigate, fill forms, book, order | End-to-end outcomes across many task types |
| Primary surface | API you call from your own software | Run an agent by describing what you need |
| Target user | Developers and product teams | Non-technical operators who want outcomes |
| Vendor lock-in | Integration code is yours; tied to the API contract | Pay-per-run, no seat contracts; agents run on Gravity |
| Support | Developer docs and support channels | Direct team support during pre-launch and early access |
A few rows favor MultiOn outright. The programmatic control is deeper, the web-action primitive is purpose-built, and an API is exactly what a developer wants when web automation is one piece of a larger product. A few favor Gravity: setup time, the no-code path, and not having to own reliability. Several rows are genuinely buyer-dependent. Weight them by what your work looks like, not by which product sounds more capable on paper.
Build with code vs run an expert's agent
The deepest difference between MultiOn and Gravity is not a feature; it is who does the engineering. MultiOn is a toolkit. The promise is that you, a developer, can embed web-action capability into your product without maintaining brittle automation yourself. That is real and valuable, and for an engineering team it is genuinely useful. But it is still a build project. You write the calls, you design the guardrails, you handle the edge cases, and you own it when a site changes its layout. The work is lower than building web automation from scratch, but the responsibility is still yours.
Gravity is a platform. The promise is that you do not build at all. Someone with deep expertise built the agent, tested it across many scenarios, and brought it to the platform so you can run it. The mental model is closer to hiring than to engineering. This is the same distinction we draw in build vs buy AI agent: building gives you control and costs you time and maintenance, buying gives you speed and costs you some control. MultiOn is a strong expression of build-it-yourself for developers. Gravity is a bet on buy-the-outcome for operators.
There is also a reliability point worth being precise about. A web-action agent that drives live sites needs careful testing, because pages change and forms break. With MultiOn, that testing and the failure handling are your job. With Gravity, the expert who built the agent and the platform that runs it carry that burden, which is why testing matters so much in this space. If reliability is central to your decision, see AI agent reliability testing explained.
Who each is for, and the pricing reality
MultiOn is for developers. The pricing follows the developer-tool pattern: usage-based against the API, which is the right model when an agent runs as part of your software. MultiOn is a fast-moving startup, so this piece does not pin a precise number that may be stale by the time you read it; check the current pricing on MultiOn's own site. The cost that matters most for a developer tool, though, is rarely the line item; it is the engineering time to integrate, test, and maintain it.
Gravity is in pre-launch waitlist as of 2026, and it is built for the non-technical operator. The model is pay per use rather than per seat: $1 buys 1,000 credits and you spend them only on runs you actually use, with recurring automations available. Public per-agent pricing will be published when the waitlist opens. For how the two leading autonomous-agent products compare on this axis, our Gravity vs Lindy and Gravity vs Manus breakdowns go deeper, and if you are weighing several options at once, our guide on how to evaluate AI agent platforms gives you a scoring frame.
When MultiOn is the right choice
Three signals say MultiOn is the better purchase. First, you write code and you are building a product; an API you can call is a feature, not a chore, for you. Second, your need is web actions on sites that lack clean public APIs, and you want a purpose-built primitive for that loop. Third, control matters more than a finished experience; you want to own the user interface, the guardrails, and how the web-action step fits a larger flow.
If those three are true, you will get more from MultiOn than from waiting for a finished agent. The build-versus-buy decision still applies, and the build vs buy AI agent framework is worth a read before you commit engineering time.
When Gravity is the right choice
Three opposite signals say Gravity is the better purchase. First, you want an outcome, not a build project; you would rather type what you need and get a result than open a code editor. Second, you would rather run an expert's tested agent than own reliability yourself; when a site breaks the agent, you want it to be someone else's job to fix, not your integration to debug. Third, you want to pay only for what you run, with no seat you are stuck paying for in slow months.
The deeper bet is the platform one. As experts build and test agents for Gravity, the catalogue of finished, trustworthy agents grows, and the value of engineering each one yourself decays. Because web-action agents touch real accounts and real money, the guardrails around them matter; see AI agent safety and guardrails for why that responsibility is worth handing to the platform. For more on the approach, see about Gravity.
Using both together
These two products are not strictly either-or for everyone. If you are a developer, MultiOn is a genuinely good way to build a custom web-action agent inside a product you control. When you, or the non-technical people you work with, just need an outcome and do not want to engineer it, a platform like Gravity covers that path: describe the result, run a tested agent, pay only for the run. Build with the toolkit where code is the right answer; run the finished agent where it is not.
Frequently asked questions
What is the main difference between MultiOn and Gravity?
MultiOn is a developer-first Agent API that takes real actions on the web, such as navigating sites, filling forms, and placing orders, which you call from your own code to build agents into your product. Gravity is a platform: you describe an outcome in plain words and run an agent an expert already built and tested. MultiOn gives developers the engine; Gravity gives operators the finished result.
Is MultiOn a no-code tool?
No. MultiOn is built for developers who write code to call its Agent API and embed web-action automation into their own apps or workflows. That is its strength for engineering teams. Gravity is the opposite end: there is nothing to code, you describe an outcome in plain language and run an expert-built agent in about 60 seconds.
Who is MultiOn built for?
MultiOn is built for developers and product teams who want a programmable, embeddable web-action API to power agents inside their own software. If you write code and want fine control over how an agent navigates and acts on the web, MultiOn is the stronger fit. Gravity is built for non-technical operators who want a result without writing any code.
When is MultiOn the right choice?
MultiOn is the right choice when you are a developer building a product that needs to take actions on the web, when you want an API you can call from your own code, and when fine-grained programmatic control matters more than a finished, run-it-now experience. Teams embedding web automation into their own app will feel at home with MultiOn.
When is Gravity the right choice?
Gravity is the right choice when you want an outcome rather than a build project, when you would rather run an expert's tested agent than write and maintain integration code, when you want to pay only for runs you use, and when you are a non-technical operator who values time-to-result over an API you have to wire into your own software.
Can MultiOn and Gravity be used together?
Yes, because they serve different roles. A developer might use MultiOn to build a custom web-action agent inside their own product, while the same person, or their non-technical colleagues, runs expert-built agents on Gravity for outcomes they do not want to engineer. One is the toolkit you build with; the other is the finished agent you run.
Three takeaways before you close this tab
- MultiOn and Gravity answer different questions. Build a web-action agent in code, or run an expert's finished agent.
- The fit test is one question. Do you want the toolkit, or do you want the result?
- They can be complementary. Build with MultiOn where code is the right answer; run a finished agent on Gravity where it is not.
Sources
- MultiOn, "Product home", retrieved 2026, multion.ai
- MultiOn, "Developer documentation", retrieved 2026, multion.ai docs
- MultiOn, "Pricing", retrieved 2026, multion.ai pricing
- Gravity, "How it works", gravity.fast
- Gravity team, "Gravity vs Lindy", 2026, Gravity vs Lindy
- Gravity team, "Gravity vs Manus", 2026, Gravity vs Manus