Airtop Agents

Airtop Agents

Airtop compiles plain-English browser automations into deterministic AI agents that run on schedules and heal themselves.

83/100Safe BetFree · from $29/moFreemium

If your team runs the same browser-based workflows every week — lead enrichment, invoice reconciliation, Google Ads management — Airtop's compiled agents are worth evaluating. The August 2026 self-healing release makes failed runs less of a time sink, and the credit model rewards repeatable volume. Compared with reasoning-heavy agent frameworks or point tools like Zapier (API-only) and Browserbase-style developer primitives (no compiled workflow layer), Airtop sits in the middle: less DIY than a raw browser SDK, more browser-native than an iPaaS. Watch the pricing jump from Starter at $29/mo to Professional at $189/mo — that step is the main reason a mid-size team stalls.

Verified 24d ago · liveness 83/100 · cite: rightaichoice.com/tools/airtop-agents

Best for
  • Marketing teams automating lead generation, competitive intelligence, and Google Ads campaign building
  • Sales ops teams enriching leads and keeping CRM records current without manual copy-paste
  • Finance teams reconciling invoices and extracting data from legacy accounting portals
  • RevOps professionals automating multi-tool workflows across systems with and without APIs
Not ideal for
  • Users who need real-time interactive agent chat or conversational AI
  • Teams whose entire stack is API-first and never need browser automation
  • Projects requiring highly creative, open-ended generative tasks
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Beginner-friendlyFree and Starter users can spin up a first agent in about five minutes per the vendor's own 'spin up your first agent in five minutes' claim, using an agent template or the quick start guide. A production workflow that touches a legacy portal or multiple systems typically takes longer to tune, because you need to validate logins, schemas, and failure handling. Adding Airtop's web automation to anWeb · APIAPI availableVerified 24d ago
Pricing
Free · from $29/mo
FreemiumFree tier5 plans6 hidden costs
Learning curve
Beginner-friendly
Free and Starter users can spin up a first agent in about five minutes per the vendor's own 'spin up your first agent in five minutes' claim, using an agent template or the quick start guide. A production workflow that touches a legacy portal or multiple systems typically takes longer to tune, because you need to validate logins, schemas, and failure handling. Adding Airtop's web automation to an
Runs on
WebAPI
API available · 11 integrations
Who it's for
Marketing ops lead at a 30-person B2B companyFinance analyst handling vendor invoicesRevOps engineer wiring Airtop into an existing agent stack
Live sentiment
Is Airtop Agents actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

  • Honest verdict, not marketing
  • Real pros & cons from real users
  • Attributed quotes with receipts
Run a free scan

3 free scans · no card needed

Skip it if

Skip Airtop if your workflows are all API-first and simple enough to script directly, or if you need a real-time conversational agent rather than scheduled, compiled browser automations.

The 30-second take
Biggest gripe

Credit consumption is the real bill — a heavy browser workflow can burn through your monthly credit allotment and push you into a higher tier or overage.

Price reality

Free (1,000 credits, 3 sessions, 1 agent) fits solo evaluation. Starter at $29/mo fits a small team running a handful of repeatable workflows. Professional at $189/mo and Enterprise at $558/mo are priced for teams that need 30–100 simultaneous sessions and dozens of deployed agents. For pure API automation, Zapier or Make are cheaper; for browser-agent developer primitives, Browserbase-style pay-as-you-go is a lower entry cost.

In short

Airtop Agents — Airtop compiles plain-English browser automations into deterministic AI agents that run on schedules and heal themselves. Best for Marketing teams automating lead generation, competitive intelligence, and Google Ads campaign building, Sales ops teams enriching leads and keeping CRM records current without manual copy-paste, Finance teams reconciling invoices and extracting data from legacy accounting portals. Free to start; paid plans from $29/mo.

What's new in Airtop Agents

Checked today

Across the latest 10 updates: 1 feature update and 9 community discussions.

DiscussionBlog·13 days agoNewest

How Do I Handle 2FA in Browser Automation?

Airtop guide on handling 2FA in browser automation, aimed at GTM engineers pairing Claude with a compiled browser agent.

DiscussionBlog·14 days ago

How Do You Keep Web Automation From Getting Flagged as a Bot?

Airtop post covering bot-detection avoidance tactics for GTM engineers running compiled browser agents alongside Claude.

DiscussionBlog·16 days ago

Browser Automation: A Buyer's Guide

Airtop buyer's guide to browser automation tools, written for GTM engineers and operators pairing Claude with compiled browser agents.

DiscussionBlog·17 days ago

Agent Reliability: A Buyer's Guide

Airtop buyer's guide on agent reliability, covering how to evaluate and reduce unattended failures in production agents.

DiscussionBlog·18 days ago

Why Is Claude so Expensive?

Airtop argues reasoning-model cost stems from repeated re-planning, positioning compiled browser agents as the cheaper execution layer.

DiscussionBlog·18 days ago

Top 7 Browser Automation Tools

Airtop roundup comparing seven browser automation tools for GTM engineers and operators.

DiscussionBlog·24 days ago

How To Build a Reliable AI Agent

Airtop walkthrough on building reliable AI agents, aimed at GTM engineers pairing Claude with a compiled browser agent.

DiscussionBlog·Sep 1

Getting Started With Automated Browser Testing

Airtop guide to automated browser testing for login and portal checks, aimed at marketers and GTM engineers.

DiscussionBlog·Aug 28

Why You Can't Use Claude To Aggregate News And Listings

Airtop argues recurring aggregation of news and listings needs real browser execution, not just a reasoning model.

FeatureChangelog·Aug 5

Airtop Agents self-healing released

Self-healing detects eligible failed agent runs, prepares a tested repair draft for review, and can auto-pause agents that keep failing. On by default.

What people actually say about Airtop Agents — is it worth it?

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

22 mentions across 2 sources (YouTube, Product Hunt) · researched Jul 3, 2026.

70% positive30% critical

Average across the 2 sources that answered — each source counts once, not each post.

Recurring strengths
  • +Plain English agent creation lowers barrier for non-technical marketers.
  • +Compiled execution promises deterministic behavior with fewer hallucinations than prompt-based agents.
  • +Handles sites behind logins without needing API access — a genuine niche.
  • +Built-in proxy rotation helps evade bot detection on target websites.
  • +Freemium entry at $0 allows low-risk trial of basic workflows.
Recurring frustrations
  • −Live view hangs during runs, undermining real-time feedback.
  • −Most tutorials require n8n, not standalone use — confusing for beginners.
  • −Community activity is very low — hard to find help when stuck.
  • −Claims of 99x cheaper / 6x faster are unvalidated by independent users.
  • −No evidence of robust error handling or recovery in compiled agents.
Patterns worth knowing
No-code web automation for behind-login sites fills a real need
Seen on YouTube, Product Hunt
Reliability issues surface in early adopter experiences
Seen on YouTube
Integration-heavy tutorials create confusion about standalone use
Seen on YouTube
Learning curve
beginnerProductive in ~A few hours
Hidden costs people mention
  • • No published pricing for Pro tier forces users to contact sales after trial.
  • • Potential overage charges for bulk execution beyond plan limits are unstated.

Viability Score

83/100
Safe Bet

How well maintained and how widely used is Airtop Agents? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
90
Traction
100
Site health
95
User sentiment
70
What the vendor publishes
60

Last calculated: October 2026

How we score →

Key Features

  • Compiles plain-English workflows into deterministic, reusable code (agent.ts define blocks)
  • Up to 100x more efficient to run than uncompiled LLM agents, per vendor
  • Runs agents on schedules or event triggers
  • Authenticated cloud browsing behind logins and inside legacy portals
  • Self-healing: failed runs generate tested repair drafts, live agent unchanged until approved
  • Auto-pause agents after repeated failures with configurable threshold
  • Real-time observability into every action, log, and result
  • Mark: AI GTM agent that creates marketing plans and builds agents
  • Native Google Ads automation: keyword research, campaign build, optimizations, scheduled audits
  • CAPTCHA solving, password vault, and built-in proxies for bot detection avoidance
  • API key vault so agents use keys immediately without a connector
  • REST & GraphQL API access, OAuth, API keys, webhooks, and SDKs
  • Pre-built integrations for HubSpot, Google Ads, Google Sheets, Gmail, Slack, Airtable
  • Up to 100 simultaneous sessions on the Enterprise plan
  • SOC 2 Type II certified, HIPAA compliant, per-session encrypted environments

About Airtop Agents

FreemiumBeginner-friendlyAPI availableWeb · API

Airtop is a web automation platform that turns plain-English workflow descriptions into deterministic AI agents. Instead of reasoning at every step, Airtop compiles the automation into reusable code at build time — the company says this is up to 100x more efficient to run than uncompiled LLM agents and reduces hallucinations. Agents run on schedules or event triggers and can operate anywhere on the web, including behind logins and inside legacy portals, using cloud browsers equipped with CAPTCHA solving, a password vault, and built-in proxies. Three entry points exist: Agent Builder (describe a workflow in chat), Mark (an AI employee for marketers that creates GTM plans and builds agents), and Web Automation (add browser automation to agents you already run in Claude, n8n, Make, or Codex). In August 2026 Airtop shipped self-healing agents: failed runs get tested repair drafts, the live agent stays unchanged until you approve a fix, and agents auto-pause after repeat failures at a configurable threshold. Airtop suits marketing, sales, finance, and RevOps teams that need repeatable automation across systems with or without APIs — pre-built integrations cover HubSpot, Google Ads, Google Sheets, Gmail, Slack, and Airtable.

Behind the Verdict

Airtop's core bet is that reliability beats reasoning for repetitive web work. You describe a workflow; Agent Builder compiles it into reusable code (the homepage shows an agent.ts define block) so the runtime cost is a fraction of an uncompiled LLM agent that re-reasons at each step. For scheduled, repeatable jobs — keyword research and Google Ads campaign builds, invoice reconciliation from vendor portals that have no API, lead enrichment across multiple data providers — that architecture is a real advantage, and it is the reason Airtop positions against conversational agents rather than against RPA incumbents. The August 2026 self-healing update is the most consequential change: failed runs generate tested repair drafts, the live agent is untouched until you approve, and agents auto-pause after repeat failures at a threshold you configure. Combined with real-time observability into every action, log, and result, that makes the failure loop far less manual than typical scripted browser automation. Mark is a second differentiator — a GTM-focused agent that builds the automations for marketing teams who would otherwise not touch an agent builder at all. Native Google Ads automation (research, campaign build, optimizations, scheduled audits) is a strong vertical wedge, though spend changes require human approval — a sensible guardrail. Where Airtop does not fit: it is not a general chatbot or real-time conversational agent, and it is overkill for API-first teams or one-off ad-hoc jobs. The credit model means you need to forecast usage; the Free tier's 3 simultaneous sessions and 1 deployed agent will be tight beyond a proof-of-concept, and the Starter-to-Professional gap ($29 to $189) is steep unless you actually need 30 simultaneous sessions. Browser automation is inherently slower than an API call for simple tasks. If your stack is fully API-first and your workflows are simple, an iPaaS or direct API scripting will be cheaper and faster.

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Real-world workflow fit

Concrete scenarios for the personas Airtop Agents actually fits — and what changes day-one when you adopt it.

Marketing ops lead at a 30-person B2B company

Use Mark to create a GTM plan, then describe a Google Ads keyword-research and campaign-build workflow in Agent Builder; Airtop compiles it and runs it on a schedule, with spend changes held for human approval.

Outcome: New campaign drafts and keyword sets land weekly without anyone logging into Google Ads manually, and budget changes stay under human sign-off.

Finance analyst handling vendor invoices

Build an agent that logs into vendor portals that have no API, downloads invoices, extracts line items against a schema, and posts results into the accounting system via REST or a webhook.

Outcome: Invoice reconciliation runs on a schedule; when a portal layout changes and a run fails, self-healing produces a tested repair draft for approval instead of a broken script.

RevOps engineer wiring Airtop into an existing agent stack

Add web automation to an agent already running in n8n, Make, Claude Code, or Codex via Airtop's Web Automation entry point and API key vault, rather than rebuilding the whole flow in Agent Builder.

Outcome: Authenticated browser steps — forms, downloads, behind-login portals — become available to the existing agent without migrating the rest of the workflow.

Use Cases

Models Under the Hood

Mark

as of 2026-10-01

Limitations

  • The LLM underpinning build-time compilation is never named in the evidence; Airtop only describes an unnamed LLM that compiles conversation into code-first agents.
  • Pricing is credit-based (Free 1,000 credits, Starter 30,000, Professional 225,000, Enterprise 775,000) with a recurring credit-consumption trial rather than a fixed-length trial.
  • Simultaneous sessions and deployed agents are capped by tier (Free 3 sessions/1 agent; Starter 3/10; Professional 30/30; Enterprise 100/unlimited).
  • Integrated Proxy begins on Starter and Custom Proxy on Professional, so proxy/bot-detection avoidance is not available on the Free tier.

as of 2026-09-14

Verification history

We have re-verified Airtop Agents 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 7 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Airtop Agents tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Free

$0/mo

Ideal for

Solo evaluator or developer kicking the tires on one agent before committing budget.

What this tier adds

Starting free entry point: 1,000 credits, 3 simultaneous sessions, 1 deployed agent, plus a 10,000 one-time credit bonus and a 7-day Mark trial.

Starter

$29/mo

Ideal for

Small team running a handful of repeatable browser workflows with an integrated proxy.

What this tier adds

Adds 30,000 credits, 10 deployed agents, integrated proxy for CAPTCHA and bot-detection avoidance, and Airtop support over Free.

Professional

$189/mo

Ideal for

Scaling marketing, sales, or finance team running many agents concurrently.

What this tier adds

Adds 225,000 credits, 30 deployed agents, 30 simultaneous sessions, custom proxy, and Mark included versus Starter.

Enterprise

$558/mo

Ideal for

Large or regulated organization needing compliance documentation and high concurrency.

What this tier adds

Adds 775,000 credits, unlimited deployed agents, 100 simultaneous sessions, and the SOC 2 Type 2 report on top of Professional.

Custom

Custom

Ideal for

High-volume or unusual workloads that need negotiated credits, concurrency, or volume pricing.

What this tier adds

Quote-based tier with custom credits, custom simultaneous sessions, volume pricing, and Mark included.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Credit consumption is the real bill — a heavy browser workflow can burn through your monthly credit allotment and push you into a higher tier or overage.
  • The integrated proxy is not on the Free plan; you need Starter at $29/mo before CAPTCHA solving and bot-detection avoidance are covered.
  • SOC 2 Type 2 report access is locked to the Enterprise tier at $558/mo, so security-conscious teams can't get the compliance document on lower plans.
  • The annual plan advertises a 10% discount and all credits upfront — paying monthly for a full year costs more than the headline monthly rate suggests.
  • The Starter-to-Professional step is $160/mo (from $29 to $189); if you outgrow 3 simultaneous sessions and 10 deployed agents, the jump is not gradual.
  • Custom enterprise pricing is quote-based, so volume credit purchases require a sales conversation rather than self-serve checkout.

Where the pricing makes sense

The company stage and team size where Airtop Agents's pricing actually pencils out — and where peers do it cheaper.

Free (1,000 credits, 3 sessions, 1 agent) fits solo evaluation. Starter at $29/mo fits a small team running a handful of repeatable workflows. Professional at $189/mo and Enterprise at $558/mo are priced for teams that need 30–100 simultaneous sessions and dozens of deployed agents. For pure API automation, Zapier or Make are cheaper; for browser-agent developer primitives, Browserbase-style pay-as-you-go is a lower entry cost.

Setup time & first value

How long it actually takes to get something useful out of Airtop Agents — broken out by persona, not the marketing-page minute.

Free and Starter users can spin up a first agent in about five minutes per the vendor's own 'spin up your first agent in five minutes' claim, using an agent template or the quick start guide. A production workflow that touches a legacy portal or multiple systems typically takes longer to tune, because you need to validate logins, schemas, and failure handling. Adding Airtop's web automation to an

Switching to or from Airtop Agents

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From manual browser copy-paste: Describe the repeated steps in Agent Builder chat and let Airtop compile and test the automation.
  • →From Zapier or Make API-only flows: Keep the API-based steps and add Airtop via its n8n, Zapier, or Make connection for the browser-only parts.
  • →From a scripted Selenium/Puppeteer job: Rebuild the workflow in Agent Builder so failed runs self-heal instead of silently breaking when a page changes.
Migrating out
  • ↗To direct API scripting: Export the logic conceptually by mapping each agent step to the provider's REST or GraphQL endpoint, then move off credits to fixed infrastructure.
  • ↗To a general browser-agent SDK: Rebuild the workflow as code if you need lower-level control and don't value compiled workflow, self-healing, or the built-in proxy and vault.

Integrations

HubSpotGoogle AdsGoogle SheetsGmailSlackAirtablen8nZapierMakeClaude CodeCodex

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “Airtop Agents”, and we withheld 3: 3 did not mention Airtop Agents. Showing the 3 we can prove are about Airtop Agents.

Tools that pair well with Airtop Agents

Common stack mates teams adopt alongside Airtop Agents, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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