What does SandBase do and what problem does it solve?
SandBase is a native infrastructure platform for AI agent creators. It provides a unified sandbox environment, model calls, MCP server integration, skill management, and support for long session workflows for Codex, Claude, Sandy, and custom agents.
What is SandBase used for and in what situations?
SandBase is used for deploying AI agents at any scale, from individual developers to enterprise teams. It allows users to run code sandboxes, call over 250 models, connect external tools like GitHub, manage custom skills, and implement persistent agent sessions with state tracking on the same platform.
Who is SandBase for?
SandBase is designed for AI agent creators, builders, and FDEs (Full-Stack Developers/Engineers). It is ideal for individual developers and enterprise teams who need to build, test, and deliver traceable agent workflows that perform real work.
What features and capabilities does SandBase offer?
SandBase offers access to capabilities via API, CLI, and MCP. It includes over 250 models for reasoning, vision, audio, image, and embedding; search APIs for live web data; data extraction from webpages and files; SaaS API integrations; and pre-built agent templates and reusable skills for workflows.
How is SandBase priced or packaged?
SandBase operates on a pay-as-you-go model with no monthly fee. New users receive $1 of free credit upon signup and can get up to 100 hours of free sandbox runtime over 6 months.
What is SandBase?
SandBase is a native infrastructure platform designed for AI agent creators, offering a unified environment for building, testing, and delivering agent workflows through models, APIs, and tool integrations.