Airtop
Also known as: Airtop AI, Airtop Agents, Mark (Airtop)
Cloud browsers for AI agents that compile plain English workflows into deterministic agents: runs on schedules or triggers, self-heals broken runs, persists authenticated profiles, and supports Live View human takeover. SDKs, REST APIs, and a builder agent named Mark.
Airtop is a cloud browser platform for AI agents with a natural language front end. A customer describes a workflow in plain English, and Agent Builder builds, tests and compiles it into a deterministic agent that runs on a schedule or trigger, heals broken runs itself, and costs a fraction of an uncompiled LLM agent to run.
Agents log in to any site, fill forms, download documents and move data through legacy portals, and sync results to core systems through pre built integrations or APIs whose keys sit in the Airtop vault. Mark, Airtop's builder agent for marketers, turns a goal into a plan and the agents to carry it out, and a templates library ships ready automations such as lead enrichment, review responders and hiring intent agents.
For developers, a REST API with an OpenAPI specification and TypeScript and Python SDKs drive hosted browser sessions (click, type, query, scrape, monitor), with Puppeteer, Playwright and Selenium support, saved profiles for logins, Live View for human takeover, session recording and residential proxies. Airtop routes work across OpenAI, Anthropic and Google models plus fine tuned models, reports SOC 2 Type II and HIPAA, and never trains on customer data. The team previously built Switchboard.
Vendor details
Canonical URL
https://www.airtop.ai
Category
Browser / computer-use agent
Funding status
$6M seed (team previously built Switchboard); evidence base is vendor site plus directories
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Pre built integrations to sync data with core systems, any API through keys in the Airtop vault, and logins to applications with no API; Make, n8n, Zapier, Claude Code and Codex; TypeScript and Python SDKs and a REST API; Puppeteer, Playwright and Selenium; files, captchas, proxies and Chrome extensions inside sessions.
In practice
A growth team runs Generate Leads from New Hires on a schedule, and the agent finds new hires, gathers their contact details and syncs them to HubSpot.
A finance lead has an agent log in to vendor portals with a saved profile, download invoices and reconcile them each week.
A local marketing team uses The Google Review Responder to answer new reviews, and a person takes over in Live View when a login asks for a code.
Sources & related URLs
Agentic Index coverage score
9.0 / 14 capabilities · 64%
| Integrations & Tool Calling | Full |
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Agents sync data to and from core systems through pre built integrations, including HubSpot, Google Ads, Google Sheets, Gmail, Slack, Airtable, social platforms and B2B enrichment data. They call any API with keys held in the Airtop vault with no connector required, and log in to applications that have no API. Make, n8n, Zapier, Claude Code and Codex connections are listed. SourceAirtop, airtop.airead 2026-10-05 |
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| Workflow Orchestration | Full |
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Agent Builder compiles a plain English description into a deterministic multi step agent (log in, fill forms, collect data, sync to other systems) that is deployed and rerun, and Mark plans the sequencing and workflow logic across several agents. Compiled agents become reusable code. Mark, built for marketers, also builds the agents themselves, and Airtop can add web automation to agents a customer already runs in Claude, n8n, Make or Codex. SourceAirtop, airtop.airead 2026-10-05 |
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| Knowledge Grounding & RAG | Not documented |
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Agents query and scrape the page they are on at run time, with LLM help for smart scraping and questions about the page. Airtop keeps no store of the customer's own knowledge for agents to search. SourceAirtop, docs.airtop.ai querying a page and smart scrapingread 2026-10-05 |
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| Human Oversight & Guardrails | Partial |
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Live View hands real time interactive control of the agent's browser to a person for authentication, training and human in the loop steps, so a person can take over. There is no approval step that holds an action until a person confirms it. SourceAirtop, docs.airtop.ai creating a live viewread 2026-10-05 |
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| Security, Identity & Governance | Partial |
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Airtop reports SOC 2 Type II and HIPAA, with the reports available on request and on the Enterprise plan, and a trust center sits at trust.airtop.ai. There is no stated access model, SSO or roles. Each session runs in its own encrypted environment, and when Airtop uses a third party LLM, its contracts bar the provider from training on customer data. SourceAirtop, docs.airtop.ai FAQ and airtop.airead 2026-10-05 |
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| Observability & Auditability | Full |
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Sessions can be recorded and replayed, DevTools open on a live session for debugging, and the platform shows every action, log and result of a run in real time. Usage is tracked in credits across AI calls, browser CPU time and proxy bandwidth. SourceAirtop, docs.airtop.ai recording a session, debugging a session and FAQread 2026-10-05 |
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| Memory & State Persistence | Not documented |
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Persistent sessions and saved profiles keep cookies and logins for reuse across runs. The browser applies that state, and there is no stated memory the agent reads as context from one run to the next. SourceAirtop, docs.airtop.ai saving a profileread 2026-10-05 |
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| Deployment & Data Residency | Not documented |
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Airtop runs as a hosted cloud with each session in its own encrypted environment. It offers no region choice, VPC, on premises or self hosted option, and the isolation of each session protects data without changing where Airtop runs. Customers sign in at portal.airtop.ai, and a free trial is available. SourceAirtop, airtop.ai and docs.airtop.ai FAQread 2026-10-05 |
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| Prebuilt Agents, Templates & Packs | Full |
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A templates library holds ready automations and agents, including Generate Leads from New Hires, Customer Support Analyst, The Google Review Responder, The Hiring Intent Agent and Web Contact Info Finder, each doing its own job, plus recipes in the docs. Sourceairtop.ai/templatesread 2026-09-27 |
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| Triggers & Channel Coverage | Full |
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Deployed agents run on a schedule or on triggers, and templates show agents watching Slack channels, Reddit, X and Google Maps for new items. Runs also start from the API, Make, n8n and Zapier. A window can also monitor a page and act once a condition is met. SourceAirtop, airtop.ai and docs.airtop.ai monitoring a pageread 2026-10-05 |
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| Model Flexibility & Routing | Partial |
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Airtop uses LLMs from OpenAI, Anthropic and Google plus custom fine tuned models and may switch or fail over between them by workload. Airtop does that routing itself, and the customer does not pick the model. Usage is billed in Airtop credits, not provider tokens, because several providers sit behind it. SourceAirtop, docs.airtop.ai FAQread 2026-10-05 |
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| APIs, SDKs & MCP Extensibility | Full |
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A documented REST API with an OpenAPI 3.1 specification covers sessions, windows (click, type, query, scrape, monitor), automations, profiles and files, with TypeScript and Python SDKs and Puppeteer, Playwright and Selenium integration. An MCP server connects Airtop to Claude Code and Cursor, and batch operations run many tasks at once. SourceAirtop, docs.airtop.ai API reference and llms.txtread 2026-10-05 |
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| Testing, Debugging & Optimization | Partial |
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Agent Builder builds and tests an automation before it is compiled, and broken runs heal themselves in production. There are no scored test cases or checks for customers to run on their own agents, and recordings and DevTools serve debugging. Airtop says compiled agents are up to 100 times more efficient to run than uncompiled LLM agents. SourceAirtop, airtop.ai and docs.airtop.ai debugging a sessionread 2026-10-05 |
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| Browser & Computer Use | Full |
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Agents drive Airtop's hosted cloud browsers, clicking, typing, hovering, scrolling, filling forms and handling files, captchas, proxies and Chrome extensions, on sites behind logins and in legacy portals. They can watch a page until a condition is met, fill forms with AI help and send traffic through residential proxies. SourceAirtop, docs.airtop.ai llms.txt and airtop.airead 2026-10-05 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Free with 1,000 credits a month plus a 10,000 credit bonus. Starter from $29 a month, Professional from $189 and Enterprise from $558. Custom is quoted.
A monthly or annual plan price with a credit allowance attached. Sessions, proxies and AI calls draw the credits down, and each plan steps up to larger credit allowances.
What is public
Every plan's starting price, credit allowance, deployed agents and session limits are public, with larger credit steps inside each plan. Custom is quoted.
Billing mechanics
Monthly credit allowances scale in steps within each plan. LLM tokens are charged in credits at cost with no markup. Annual billing gives 10 percent off, with the credits upfront.
Variable cost rationale
Airtop meters credits. Browser sessions, proxies and AI calls all draw them down, and LLM tokens are charged in credits at cost with no markup, so the bill grows with how many automations run and how heavy each one is. Each plan carries a monthly credit allowance that steps up within the plan, and the deployed agent and simultaneous session limits cap how much runs at once. Annual billing pays for the credits upfront. No overage rate is published.
Sales call required
Mixed (some tiers require a call)
Free / trial
Free plan with 1,000 credits a month, 1 deployed agent and a 10,000 credit one time bonus. Mark trial for 7 days or until its credits run out
Lowest paid plan
Starter, $29 a month for 30,000 credits, 10 deployed agents and 3 simultaneous sessions
Key ambiguities
How many credits a given automation consumes depends on sessions, proxies and AI calls. The pricing calculator estimates it per operation.
Support SLA / resale
Starter includes standard support, and Professional and Enterprise include dedicated support.
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Alternatives to Airtop
The closest documented capability profiles to Airtop among browser and computer-use agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Axiom.ai10.0 / 14Adds documented Deployment & Data Residency
- H Platform9.0 / 14Adds documented Deployment & Data Residency
- Asteroid11.5 / 14Adds documented Knowledge Grounding & RAG and Memory & State Persistence
- Grok Bot10.5 / 14Adds documented Knowledge Grounding & RAG and Memory & State Persistence
- Manus10.0 / 14Adds documented Knowledge Grounding & RAG and Memory & State Persistence
- Automat AI11.5 / 14Adds documented Knowledge Grounding & RAG and Memory & State Persistence, among others
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded