Airtop
After you describe the workflow to automate in natural language, Airtop compiles a deterministic agent that can run on a schedule to sign in and operate websites, portals, and apps.
About Airtop
Airtop is used to put repeatable workflows onto websites, portals, and apps. You describe what to automate in natural language; Agent Builder builds and tests it, then compiles reusable code that runs on a schedule, a trigger, or a webhook. With an API, you put keys in the Airtop vault for the agent to use directly; without an API, it can sign in like a person, fill forms, download files, and complete tasks, and the site says this also covers hard-to-integrate legacy systems. Browsers run in the cloud, with up to 100 parallel sessions; every run has logs and a reviewable recording. On failure it diagnoses, drafts a fix, and tests it, but the repair stays a draft until you deploy or discard it; the site states it never changes the live agent on its own. The product offers 85+ customizable pre-compiled agents and native connections to Claude, Codex, n8n, Make, and Zapier. On data, the site states it does not use your data for AI training and each session runs in an isolated encrypted environment; it also has SOC 2 Type II certification and HIPAA compliance, with RBAC and SSO for enterprise access control. Marketing, sales, and finance uses include campaign research and publishing, finding and enriching leads then writing them back to the CRM, reconciling invoices and moving data in old finance systems; you can also hand the goal to Mark, which handles agent build, sequencing, workflow logic, and data sourcing.
Best for
Best use cases
Sign in on a schedule or webhook and fill forms, download files, or pull structured data
Batch-process thousands of URLs or spreadsheet rows
Research, build, and publish campaigns, or hand the goal to Mark to build an agent
Find and enrich sales leads, then write them back to the CRM
Reconcile invoices and move data through old finance systems that lack automation APIs
Attach web automation to existing Claude, n8n, Make, or Codex agents
Features
Agent Builder
Describe the automation in natural language, with no scripts or selectors; Agent Builder builds and tests it, then compiles reusable code.
Web actions after sign-in
Can run on sites, portals, and legacy vendor backends that require login; credentials stay in a secure vault and never appear in agent code or logs.
Failed repairs deploy only after you confirm
On failure it diagnoses, drafts a fix, and tests it, but the repair stays a draft until you deploy or discard it; it never changes the live agent on its own.
Cloud browsers and replay
Real browsers run in the cloud, up to 100 parallel sessions, with a reviewable recording, logs, and session replay for every run.
Pros
- Build automations from a natural-language description, without scripts or selectors
- Sign in to apps with no API to fill forms, download files, and complete tasks
- Failed-run repairs stay in draft and never change the live agent on their own
- The site states it does not use customer data for AI training; sessions run in isolated encrypted environments
- SOC 2 Type II certified and HIPAA compliant, with RBAC and SSO
- Can plug into existing Claude, Codex, n8n, Make, and Zapier workflows to add web actions
Cons
- At most 100 concurrent sessions, so large batch jobs are bound by that parallel cap
- Browsers run in the cloud, not on your machine