Archal

Archal provides isolated, stateful API sandboxes for testing AI agents and integrations. Each sandbox contains simulated environments for services such as GitHub, Slack, Stripe, Supabase, Linear, ClickUp, and others, where supported writes persist between calls and can be reset to a declared baseline. Environments are accessed through REST or MCP endpoints, and each is an independently built simulation rather than a live provider account.

Sandbox creation, environment provisioning, and resets are handled through the platform, with environments starting from sample states, custom state, or blank. The product supports harness testing, integration and CI testing, and agent training and reinforcement learning workflows, where each run or rollout can begin from the same starting state. Archal manages sandbox lifecycle, scoped credentials, cleanup, and environment state operations, while teams retain their agent or integration code, harness, CI, eval platform, observability, and verifiers.

Archal is aimed at agent developers, connector teams, and integration engineers. The homepage offers usage credits without requiring a card, with credits released at signup and when the first sandbox is ready. The platform also provides a setup flow for coding agents such as Claude Code, Codex, Cursor, and Devin.