Airtop vs Skyvern: Head-to-Head (August 2026)

Most browser automation comparisons treat every tool as a variation of the same thing. Airtop and Skyvern aren't. One is cloud infrastructure for developers who want to manage their own agent logic. The other is a goal-directed execution platform built for ops teams running portal-heavy workflows that break scripts on every vendor update. That's the class of problem Agentic Process Automation platforms are built for — where browser execution is the mechanism, but autonomous operation, exception handling, and structured output delivery are the actual product. Before you can pick the right one, you need to understand what problem each was actually built to solve.

TLDR:

• Airtop provides cloud-hosted browser infrastructure for developers; the orchestration, auth logic, and output extraction are yours to build on top.
• Skyvern reads pages visually at runtime using computer vision and LLM reasoning, so portal layout changes are new inputs instead of fatal breakpoints.
• Authentication depth differs considerably: Airtop replays recorded sessions, while Skyvern reasons about state at each step and works through TOTP and email OTP flows as they appear.
• Skyvern charges per task run and offers a self-hosted deployment path; Airtop charges per session, with no self-hosting option.
• Skyvern is the fit for operations teams managing credential-guarded portal workflows across insurance, logistics, healthcare, and legal verticals; Airtop fits engineers building research pipelines or single-session automation with developer oversight.

What is Airtop?

Airtop is a cloud-hosted browser automation service built for AI agents and developer teams that need to run browsers at scale without managing infrastructure. Instead of spinning up local Chromium instances or maintaining a headless browser fleet, teams point their agents at Airtop's cloud and get back live, interactive browser sessions they can control programmatically.

The core architectural idea is that browser state is expensive to manage and easy to get wrong: sessions time out, fingerprints trigger bot detection, and parallel runs collide when they share resources. Airtop abstracts that layer away, giving each session its own isolated environment with a persistent context, so agents can work through multi-step workflows without losing state mid-run.

Key Features

• Cloud-hosted browser sessions with per-session isolation, so parallel workloads don't interfere with each other and each run starts from a clean, consistent state.
• AI-native API design that lets LLM-based agents control browsers directly through structured commands, without injecting raw JavaScript or managing DOM selectors.
• Built-in stealth and fingerprint management, which reduces detection rates on sites that actively block headless browsers.
• Live session viewing, so developers can watch a browser execute in real time and debug mid-run without waiting for a replay log.
• Session persistence across multi-step workflows, which matters when a portal has login flows, interstitial pages, or session-timeout modals that would otherwise reset progress.

Limitations

• Airtop supplies the browser infrastructure, but the intelligence layer is yours to build. If you need goal-directed planning, exception escalation, or structured output extraction out of the box, you are adding that on top.
• Airtop pricing scales with session hours and concurrency, which can grow quickly for high-volume workflows where each task runs for several minutes.
• Teams automating credential-guarded portals still need to handle authentication logic themselves; Airtop does not reason about login state the way a goal-directed agent does.
• Developer-first design means non-technical operators cannot define or modify workflows without engineering support.

Bottom Line

Engineering teams building AI agents that need reliable, scalable browser infrastructure: this is the fit. Airtop removes the headache of managing browser fleets and handles the stealth layer, so developers can focus on agent logic. It's not suited for operations teams that need end-to-end workflow automation, structured output delivery, and exception handling without writing the orchestration layer themselves.

What is Skyvern?

Skyvern is an Agentic Process Automation (APA) platform built to automate browser-based workflows where no API exists and scripts break every time a portal changes layout. Where selector-based tools fail silently the moment a vendor renames a button or restructures a form, Skyvern reads the live page visually at runtime, reasons about what it sees, and keeps the workflow running through the change.

The core architecture has four interconnected components: a visual page reader, a goal-directed planner, a credential and authentication handler, and a structured output extractor. The visual reader reads the live page state at runtime (not a cached selector map) so it sees the page as it actually appears. The planner converts a stated goal into a sequence of actions, reassessing at each step instead of replaying a recorded path. The authentication handler works through login flows, 2FA prompts, and session-timeout modals as they appear. The extractor maps results to a defined output schema before returning them downstream.

Key Features

• Reads pages visually at runtime using computer vision and LLM reasoning, so layout changes are new inputs instead of fatal breakpoints.
• Works through multi-step authentication flows, including authenticator app TOTP and email-based OTP verification, without requiring a recorded login path.
• Returns structured JSON output against a schema defined upfront, so downstream systems receive consistent data regardless of which portal layout the agent encountered.
• Scales concurrent workflows across large portal portfolios without per-portal script maintenance.
• Scored 85.85% on the WebVoyager benchmark as of January 2025, placing among the top performers in web navigation tasks at that time.

Limitations

• Teams automating a single internal portal with a stable layout and an existing API will not see a return on the setup investment; the visual-AI layer is built for layout instability and credential-guarded systems.
• Phone and SMS-based 2FA are not supported; those authentication steps require a human handoff.
• Skyvern has no built-in proactive alerting and requires external monitoring tools to surface failures between scheduled runs.
• Cost per run scales with workflow complexity and LLM usage, which can add up for high-frequency, low-complexity tasks where a simple script would suffice.
• Non-technical teams get the most value from goal-directed workflows, but initial workflow design still benefits from a practitioner who understands the target portal's authentication and form behavior.

Bottom Line

Operations teams managing portal-heavy workflows across insurance payer portals, carrier quote systems, government permit applications, and similar credential-guarded systems are the natural fit. If a human can do it in a browser, Skyvern can automate it without APIs, without brittle scripts, and without breaking when websites change. It's not suited for engineering teams whose entire automation surface is a single stable internal tool with an existing API.

Side-by-Side Comparison

Here is a side-by-side comparison table summarizing the key dimensions covered in the sections above. The table consolidates what each tool does, how it handles the scenarios that matter most in production, and where each one draws its boundary.

How Each Tool Reads and Interacts with Web Pages

Airtop and Skyvern take fundamentally different architectural approaches to reading and interacting with web pages, and that difference determines how each tool holds up when real portals change, rotate authentication flows, or serve dynamic content that no recorded script anticipated.

Airtop's Approach

Browserbase vs Airtop comparisons show that Airtop operates as a cloud-hosted browser infrastructure layer. It spins up browser sessions in the cloud and exposes them to AI agents, giving those agents access to a live browser environment. The underlying interaction model still depends on the agent reasoning about page structure, which means the quality of page interaction is tied to how well the agent interprets the DOM and visible elements at any given moment.

Skyvern's Approach

Skyvern reads the live page visually at runtime, using computer vision and LLM reasoning to identify interactive elements by their appearance and context, not by selector maps or pre-recorded paths. Four interconnected components drive this model: a visual page reader, a goal-directed planner, a credential and authentication handler, and a structured output extractor.

The visual reader reads the live page state as it actually appears during each run. The planner converts a stated goal into a sequence of actions, reassessing at each step instead of replaying a fixed path. The authentication handler works through login flows, 2FA prompts, and session-timeout modals as they appear, reasoning about state instead of pattern-matching against a script. The extractor maps results to a defined output schema before returning them downstream.

A layout change that would break a selector-based script is just new input to Skyvern. Each layer reassesses at runtime instead of failing against a stale assumption, which is what makes the model hold up across portal-heavy workflows where layouts shift without notice.

Authentication, Credentials, and 2FA

Logging into portals, handling rotating credentials, and working through 2FA prompts are where a lot of browser automation breaks down. Both Airtop and Skyvern approach authentication, but the depth of support differs considerably.

Airtop handles basic session management and can persist authenticated browser sessions across runs. For straightforward login flows, this works. The friction appears when portals introduce dynamic 2FA, session-timeout modals mid-workflow, or credential rotation on each session. Airtop does not reason about authentication state at runtime; it replays what it has seen before, which means anything that changes between sessions can stall the workflow.

Skyvern, on the other hand, treats Skyvern authentication handling as a first-class problem. Instead of replaying a recorded login path, Skyvern reasons about the current page state at each step. When a 2FA prompt appears, it handles it as new input. When a session-timeout modal fires mid-workflow, it works through the modal before continuing. Credentials are stored once and applied across runs without re-entry.

What Skyvern Supports

• Authenticator app (TOTP) 2FA flows handled at runtime, not through pre-recorded paths
• Email-based OTP verification, though delivery delays can occasionally affect timing-sensitive flows
• Session persistence across multi-step workflows, including mid-session timeouts on government and carrier portals
• Credential storage with a single setup, applied across all runs for that workflow

One concrete boundary: SMS and phone-based 2FA are not currently supported. Workflows that require hardware token interaction still need a human handoff at that step. For teams whose portals use authenticator apps or email OTP, though, Skyvern's auth handling covers the full flow without manual intervention.

Workflow Orchestration and Multi-Step Automation

Both Airtop and Skyvern handle multi-step browser workflows, but they approach orchestration from different starting points.

Airtop treats multi-step automation as a sequence of browser sessions chained together through its API. Each session can carry context forward, and developers wire the steps together in their own application logic. This gives engineers fine-grained control, but the orchestration burden stays with the team writing the integration code.

Skyvern, on the other hand, handles orchestration natively. A single workflow definition can span logins, form submissions, data extraction, conditional branching, and exception handling without requiring external glue code. The agent reasons about state at each step (never replaying a fixed sequence), so when a portal adds an unexpected confirmation modal or a session timeout fires mid-run, the workflow adapts instead of halting.

Where the Difference Shows Up in Practice

For straightforward single-site tasks, both tools get the job done. The gap widens on workflows that cross multiple portals, require credential handoffs between steps, or need to recover gracefully from mid-run failures.

• Skyvern's workflow layer supports loops and pagination natively, so processing a list of carrier quotes or iterating through a batch of insurance eligibility checks does not require external scripting to manage the iteration.
• Conditional branching lets workflows take different paths based on what the agent reads on the page, such as routing to a manual review queue when an insurance carrier portal workflow returns an ambiguous eligibility status.
• Built-in retry and failure recovery means a transient portal error does not terminate the entire run. The agent attempts recovery before escalating to a human handoff.

Teams managing portal-heavy workflows across insurance, logistics, or government filings will find Skyvern's native orchestration considerably reduces the integration work required to get a production-grade workflow running.

Compliance, Governance, and Production Readiness

Compliance, governance, and production readiness are areas where the architectural differences between Airtop and Skyvern show up most concretely for enterprise teams.

Airtop is built for developers who need cloud browser infrastructure. Its governance story is largely about API access controls and session management at the infrastructure layer. That works well for teams building their own orchestration on top, where compliance controls live in the application layer they write. But it means the compliance burden shifts to the team consuming the API.

Skyvern, as an Agentic Process Automation (APA) platform, treats governance as part of the execution model itself.

How Governance Works Inside Skyvern's Execution Model

A few concrete capabilities separate Skyvern on this dimension:

• Every run produces a full audit trail, including page state, action sequence, authentication steps, structured output, and any exception that fired. For teams running compliance-sensitive workflows, that trace is not optional infrastructure to build later.
• Approval gates can be inserted into multi-step workflows, so a human reviewer can confirm before a consequential action executes. This matters in healthcare prior authorization, legal e-filing, and financial workflows where outputs feed critical decisions.
• Credential storage is handled inside the platform and never passed through application code, which reduces the surface area for credential exposure across portal-heavy workflows.
• SOC 2 compliance and HIPAA-capable deployment are supported, which matters for operations teams at insurers, health systems, and any organization where explainable AI automation tools for compliance extend to the automation layer.

For teams where the workflow itself is the compliance artifact, having audit trails, approval gates, and governed credential handling built into the execution layer (not bolted on afterward) is a meaningful structural difference.

Airtop, on the other hand, is the better fit when your team wants infrastructure flexibility and is prepared to build governance controls at the application layer. It is not suited for teams that need out-of-the-box audit trails and approval workflows without writing additional orchestration code.

Deployment Options and Pricing

Both Airtop and Skyvern offer cloud-hosted deployments, but they take different approaches to pricing and self-hosting that matter considerably when assessing at scale.

Airtop operates on a session-based pricing model, charging per browser session and compute time. This works well for low-volume, exploratory use but can compound quickly when running parallel workflows across many portals.

Skyvern offers two deployment paths: Skyvern Cloud for teams that want a managed environment, and Skyvern Open Source for teams that want to run the stack on their own infrastructure. The open source option is a meaningful differentiator for compliance-sensitive workflows where data residency or audit requirements make third-party cloud hosting a hard constraint.

On pricing, Skyvern charges per task run instead of per session, which aligns costs more directly with business outcomes than with raw compute consumption.

Which Model Fits Your Team

Teams running occasional, single-site workflows will likely find Airtop's session model straightforward. Operations teams running hundreds of portal workflows per month, or those in compliance-sensitive industries needing AI RPA tools for document automation, will find Skyvern's deployment flexibility and task-based pricing considerably more predictable at scale.

Why Skyvern is the Better Choice

Skyvern was built for exactly the class of problem where Airtop runs into its ceiling: portals that change without warning, authentication flows that rotate on every session, and workflows that need to run at scale without a developer on call to fix breakage.

Where Airtop gives you an AI-enhanced browser environment, Skyvern is an Agentic Process Automation (APA) platform. The distinction matters in production. Browser environments still require you to define the interaction logic. Skyvern's goal-directed execution model reads the live page visually at runtime, reasons about what needs to happen, works through whatever authentication it encounters, and delivers structured output, without a selector map to maintain or a recorded path to replay.

Key Features

• Goal-directed task execution lets you describe what you want in plain language or code, and Skyvern figures out the sequence of actions, reassessing at each step instead of replaying a fixed script.
• Visual page reading via computer vision and LLM reasoning means layout changes are new input, not fatal breakpoints. A portal that renames a button or restructures a form does not break the workflow.
• Built-in credential and authentication handling works through login flows, TOTP-based 2FA, session-timeout modals, and multi-step authentication sequences as they appear, reasoning about state instead of pattern-matching against a recording.
• Structured output schemas defined upfront guarantee that downstream systems receive consistent JSON regardless of which portal layout Skyvern encountered during the run.
• Workflow orchestration supports loops, pagination, branching logic, and parallel execution across multiple portals, so complex multi-step processes run end-to-end without manual intervention.

Limitations

• Teams automating a single internal portal with a stable layout and an existing API will not see a return on the setup investment. The visual-AI layer is built for layout instability and credential-guarded systems. If neither applies, the overhead is unnecessary.
• Skyvern does not support SMS or phone-based 2FA. Supported authentication types are authenticator apps (TOTP) and email verification. Workflows that require hardware token or phone-based authentication still need a human handoff at that step.
• At high concurrency and scale, per-run costs can add up. Teams running millions of lightweight tasks monthly should model total cost carefully before committing.
• There is a learning curve to getting workflow definitions right for complex, exception-heavy portals. First runs on new portal types sometimes require iteration before the agent handles every edge case cleanly.
• Skyvern has no built-in proactive alerting. External monitoring tools are needed to catch failures before they stack up across a run queue.

Bottom Line

Operations teams at insurance brokerages, healthcare networks, logistics companies, and legal operations groups managing portal-heavy workflows across 10 or more external systems: this is the fit. If your team is responsible for eligibility checks, carrier quotes, prior authorizations, permit filings, or court e-filing workflows, and those workflows live on portals that change without notice and break scripts on every vendor update, Skyvern is the architecture built for that condition. It's not suited for engineering teams whose entire automation surface is a single internal tool with a stable layout and an existing API, or for teams that need phone-based 2FA support as a hard requirement.

Final Thoughts on Airtop and Skyvern

If your team is building its own agent stack and wants dependable cloud browser sessions underneath it, Airtop does that job well. If the problem is portal-heavy workflows with rotating authentication, unpredictable layouts, and no API in sight, Skyvern's architecture was built for exactly that condition, and adding a developer to maintain orchestration logic on top of a browser layer is overhead you shouldn't need. That's Agentic Process Automation in practice: browser execution as the mechanism, production-grade autonomy as the platform. Either way, the right call depends on where your team's ceiling is, not which tool has the longer feature list. Book a demo to see how Skyvern fits into your specific workflow.

FAQ

Should my team use Airtop or Skyvern for automating credential-guarded portals across insurance, healthcare, or government systems?

Skyvern is the stronger fit when your workflows span multiple credential-guarded portals that change layouts without notice, require multi-step authentication, and need to deliver structured output downstream without engineering involvement on each run. Airtop is the right call when your team has developers who want reliable cloud browser infrastructure to build their own orchestration layer on top, and the automation surface is narrow enough that writing that glue code is practical.

What is the core architectural difference between how Airtop and Skyvern interact with web pages?

Airtop supplies a cloud-hosted browser session and exposes it to an agent, but the interaction logic and orchestration stay with the developer building on top of it. Skyvern reads the live page visually at runtime using computer vision and LLM reasoning, reassessing at each step instead of replaying a recorded path, which means a portal that renames a button or restructures a form is new input instead of a failure point.

Who is Skyvern best suited for, and who should stick with Airtop?

Skyvern fits operations teams managing portal-heavy workflows across insurance payer systems, carrier quote portals, government permit applications, and healthcare credentialing, where layouts change without notice and scripts break on every vendor update. Airtop fits engineering teams building research pipelines, data extraction tools, or single-session automation where the team writes and maintains the orchestration code and wants clean, scalable browser infrastructure underneath.

Can Skyvern handle 2FA and rotating authentication flows that Airtop struggles with?

Skyvern handles authenticator app TOTP and email-based OTP verification by reasoning about authentication state at runtime instead of replaying a recorded login path, so rotating prompts and session-timeout modals mid-workflow are treated as new inputs. The concrete limit: SMS and phone-based 2FA are not currently supported, and workflows requiring hardware token or phone-based authentication still need a human handoff at that step.

What should teams consider about governance and audit trails before choosing between Airtop and Skyvern?

With Airtop, governance controls live in the application layer your team writes on top of the infrastructure, which works if your engineers are already building that layer. Skyvern builds audit trails, approval gates, and credential storage into the execution model itself, producing a full run trace including page state, action sequence, authentication steps, and structured output on every run, which matters for teams in healthcare, insurance, or legal operations where the workflow record is the compliance artifact.