StableBrowse
StableBrowse is a San Francisco startup (Y Combinator, Spring 2026) building browser infrastructure and real-world data pipelines for AI agents and AI labs. Its platform transforms dynamic websites into structured knowledge and execution graphs so agents can reliably complete web-based tasks — form filling, data extraction, authentication flows, and website change detection — without relearning workflows on every run, and it sources, labels, and enriches hard-to-find long-tail, gated, and ephemeral web data until it is worth training on. StableBrowse markets performance gains including large reductions in token usage, faster workflow execution, and high task success rates across use cases such as price monitoring, loan applications, CRM updates, travel booking, and navigation of legacy enterprise systems. The company was founded by Jay Mehta, Deepit Shah, and Somansh Shah (all formerly of Amazon). As of this profile the public site is a marketing landing page with no published API, developer documentation, or developer portal.
StableBrowse is profiled on the APIs.io network. Tagged areas include Company, AI Agents, Browser Infrastructure, Web Automation, and Data Labeling.
Kin Score
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Access & Security 1
Authentication, authorization, and security posture
Company 1
The organization behind the API