Sandbase Ai
What is Sandbase Ai ?
SandBase is a native infrastructure platform designed for AI Agent builders, providing a unified sandbox environment, model invocation, MCP server integration, skill management, and long-session workflow support for Codex, Claude, Sandy, and custom Agents. Through API, CLI, and MCP access paths, developers can run code sandboxes, invoke 250+ models, connect to external tools like GitHub, manage custom skills, and implement persistent Agent sessions with state tracking on the same platform. The platform adopts a zero monthly fee, pay-as-you-go pricing model, offering $1 free credit upon registration and 100 hours of sandbox runtime free for 6 months, suitable for Agent deployments ranging from individual developers to enterprise-grade production teams.
- Recording time：2026-07-16
- Is it free：
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Sandbase Ai Core Features
Unified Agent Runtime Environment — Provides complete infrastructure for AI Agents including sandbox execution, model invocation, MCP tool connection, skill orchestration, and long-session state management
Flexible Multi-Path Access — Connect to the same runtime via three methods: API (for application backends and production services), CLI (for terminal operations and CI workflows), and MCP (for AI builder tool access)
Code Sandbox & Browser Automation — Supports code execution, file operations, browser automation, and test running, billed hourly starting at $0.04/hour for 1 vCPU/2GB
Model Directory & Smart Routing — Integrates 250+ AI models, supporting LLM tokens, image generation, video processing, and audio synthesis, billed per model card
builder.md Context Management — A single context file allows Codex, Claude, Sandy, or development teams to automatically select the optimal access path (API/CLI/MCP)
Sandbase Ai Subscription Plan
FAQ from Sandbase Ai
What is SandBase and what scenarios does it suit?
SandBase is a native infrastructure platform designed for AI Agent builders, ideal for Agent applications requiring code sandbox execution, multi-model invocation, external tool connections (e.g., GitHub), and long-session state management. Typical use cases include automated PR reviews, website detection, data analysis, intelligent customer service, and complex workflow orchestration.
What access methods does SandBase support?
The platform offers three unified access paths: API (suitable for application backends and production service integration), CLI (suitable for terminal operations, CI/CD, and Codex/Claude workflows), and MCP (suitable for providing tool access to AI builders). All three methods share the same runtime and billing system, with the builder.md context file automatically guiding users to the optimal path.
What is SandBase's billing model? Are there monthly fees?
SandBase operates on a zero monthly fee, pure pay-as-you-go model. Costs are composed of three parts: model invocation (LLM tokens, image/video/audio generation), Agent runtime (long-session state and tracking), and sandbox/tool usage (code execution, browser operations, MCP calls). Registration includes $1 free credit and 100 hours of sandbox runtime free for 6 months.
How is SandBase's sandbox priced and what configurations are supported?
Sandboxes are billed hourly with four configuration tiers: 1 vCPU/2GB RAM ($0.04/hour), 2 vCPU/4GB RAM ($0.08/hour), 4 vCPU/8GB RAM ($0.16/hour), and 8 vCPU/16GB RAM ($0.32/hour). Agents require sandbox resources only when executing code, browsing web pages, writing files, or running tests.
How do I start using SandBase? Do I need to select a plan in advance?
No plan selection is required in advance. After registration, you receive $1 free credit; create an API Key and run real models or Agent sessions for testing. When usage exceeds the free tier, simply add billing information to continue using the pay-as-you-go model. CLI and MCP share the same account and billing system as the API, requiring no separate subscriptions.
What is SandBase's builder.md and how do I use it?
builder.md is a single context file provided by SandBase containing practical guides for the platform's API, CLI commands, MCP settings, and Agent modes. By providing this file to Codex, Claude, Sandy, or your development team, AI builders can automatically determine when to use API, CLI, or MCP, significantly lowering the entry barrier and reducing context-switching costs.
What additional features does SandBase Enterprise offer?
The Enterprise plan offers custom bulk pricing, SSO Single Sign-On, invoice-based billing, private deployment options, and dedicated runtime policies. It is designed for production teams requiring large-scale Agent deployments, strict security compliance, or dedicated technical support. Contact sales for a customized solution.
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