About This Site
Stateful API sandboxes for testing AI agents and integrations Archal is a testing platform that provides isolated, stateful sandboxes for APIs used by coding agents and integration workflows. It simulates services such as GitHub, Slack, Linear, Stripe, Datadog, Supabase, and others through REST and MCP interfaces. Developers can create a sandbox with a known starting state, run tasks, inspect requests and mutations, and reset environments for repeatable testing without production accounts, rate limits, or persistent test data.
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Key Features AI
Core Features
Isolated, stateful API sandboxes for AI agent testing
REST and MCP access to simulated services including GitHub, Slack, Linear, Stripe, and more
Persistent changes during a test run with resettable starting states
Request, response, mutation, timing, and usage inspection
Multi-environment sandboxes with independent service endpoints
Support for agent harness testing, integration testing, and agent training
Coding-agent setup for Claude Code, Codex, Cursor, and Devin
Advantages
Avoids test-account management and production-data risks
Stateful behavior persists across tool calls
Sandboxes can be reset to a known baseline
Supports both REST and MCP interfaces for many environments
Provides $20 in free usage credits with no card required
Useful for repeatable CI, agent, and integration testing
One API key can manage multiple environments
缺点：Environment behavior may not provide complete upstream API coverage
缺点：Capability and state behavior vary by environment and operation
缺点：Each active environment costs $0.10 per minute
缺点：Self-serve paid continuation is not currently available
缺点：Custom environments, private deployment, and enterprise features require contacting Archal
缺点：Requires account setup and coding-agent connection before use
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