Pomerado

Teams building AI agents need to interact with websites that have no public API, including legacy portals (EMRs, ERPs, CRMs, payer and claims systems) and everyday consumer sites (travel, shopping, reservations). Today agents rely on browser use, clicking and reasoning through pages on every run, which the page describes as slower and less reliable; one comparison shows a browser agent (Codex Computer Use) taking 7 minutes 2 seconds versus 3 minutes 41 seconds for Pomerado on the same multi-site comparison task. Sites also change their layouts over time, breaking agent workflows, and many require saved logins and two-factor authentication that agents cannot handle on their own. Engineering teams would otherwise have to build, host, and maintain custom integrations themselves for each site.

Pomerado builds integrations for websites on request, creating a deterministic API or MCP tool that runs the same way every time instead of re-reasoning through a page. Users or their coding agents (Codex, Claude, Cursor) describe what they need, Pomerado's agent asks clarifying questions, builds and tests the integration, and publishes it as a hosted, read-only or write-capable tool, as shown in examples for Coupa invoices, Marriott hotel search, and Anthem claims status. It manages authentication and two-factor codes or OTPs for each saved login, shown on a Logins page with masked credentials and verification status. When a site changes and breaks a tool, Pomerado's tests catch the failure, automatically repair the integration, and notify the user rather than leaving an agent run to fail silently. The product is accessed via an MCP server or API, with a free tier offering 100 tool calls per day and 10 new integrations per month.