# AgentSandboxes Review A source-linked directory of cloud sandbox providers for AI agents, browsable by category and queryable via free REST API and MCP endpoint. ## Editor's Score: 62/100 Capability scores in the mid-teens because AgentSandboxes does one narrow job, provider research, and does it well with source-linked specs and a genuinely useful MCP endpoint, but it has no execution, orchestration, or monitoring capability whatsoever, which limits its utility compared to tools that help users act on the research. Ease of use is high: no account, no key, and a clean browsing interface mean near-zero onboarding friction. Value is reasonable for end users since browsing is free, but the escalating price mechanic on vendor tiers ($9/$19/$29 doubling after every 10 sales) introduces real unpredictability for providers budgeting a listing. Delivery scores low because no independent user sentiment could be found to verify that the directory's listings are accurate, current, or meaningfully complete; the only third-party mention found was a GitHub submission that appears to originate from the creator, which is a thin evidence base for a product whose entire value proposition rests on data reliability. ## Pros - Every listing fact is cited to the vendor's own documentation, reducing the risk of stale or marketing-inflated specs. - The keyless MCP endpoint at agentsandboxes.fyi/mcp lets AI coding tools query the index directly, a practical integration most directories do not offer. - Browsing, filtering, and API access are all free with no account required, making it a zero-friction research starting point. ## Cons - The directory covers only sandbox providers; it has no capability to help users deploy, configure, or switch between the providers it lists, so its usefulness ends at the research stage. - Vendor listing prices double after every 10 sales, meaning early-mover providers pay $9/month while later entrants could face $18/month or more for the same Verified tier, a pricing mechanic that is unusual and hard to plan around. - There is no free tier for vendor analytics; the Featured plan at $19/month is the entry point for any listing performance data, and the refund policy is all-sales-final with no partial-period exceptions. ## Pricing Freemium. A free tier is available. - Free: Free - Verified by vendor: $9.00/month - Featured: $19.00/month - Sponsored placement: $29.00/month Pricing reflects what we saw at the time of review (2026-10). Confirm current pricing on the official site. Category: AI Agents & Automation (https://aitoolseekers.com/category/ai-agents-automation) Official site: https://agentsandboxes.fyi/ Last verified by a human: 2026-10-24 Reviewed by a human at AI Tool Seekers, a hand-reviewed AI tools directory. Every listed tool is verified by a person before publishing. Scores are editorial opinions from a fixed rubric (capability, ease of use, value, delivery on promise) and cannot be bought; there is no pay-to-rank. Directory: https://aitoolseekers.com This review: https://aitoolseekers.com/tools/agentsandboxes Methodology: https://aitoolseekers.com/how-verification-works ## Verdict AgentSandboxes is the right starting point for a developer who needs to compare cloud sandbox providers on concrete specs like cold start, isolation class, GPU support, and pricing, all cited back to vendor docs. The directory itself is free to use, but it is a reference index, not a tool that runs or manages sandboxes, so anyone expecting execution infrastructure should look elsewhere. Teams already committed to a specific provider will find little reason to return after their initial research. Best for: Developers evaluating cloud sandbox providers before committing to one. Not for: Anyone who needs to actually run or orchestrate AI agents, not just compare hosting options. ## Overview AgentSandboxes is a neutral, editorially independent index of cloud sandbox providers built specifically for AI agent workloads. Its core value is that every spec on every listing, whether that is cold start time, isolation class, persistence behavior, GPU availability, or pricing, is linked directly to the vendor's own documentation rather than summarized from memory or marketing copy. That sourcing discipline is what separates it from a generic comparison site. The directory is free to browse with no account needed. Developers can filter by category, compare providers side by side, and pull listing data programmatically through a keyless REST API or an MCP endpoint at agentsandboxes.fyi/mcp using Streamable HTTP. That MCP integration means an AI coding assistant can query the index directly, which is a genuinely practical detail for teams already working in agent-heavy environments. On the vendor side, the site runs a tiered listing model. A free public listing gets a provider onto the index. Paying $9/month adds a verified badge and the ability to edit the listing. At $19/month, vendors get a featured placement boost and listing analytics. At $29/month, a sponsored slot appears on one category page of the vendor's choosing. The site is explicit that payment changes placement only, not the facts in a listing. The honest limitation is scope: AgentSandboxes is a research and comparison tool, not an orchestration layer or execution environment. It tells you which sandbox providers exist and what their specs are. It does not help you deploy, monitor, or switch between them. ## Who should use it AI engineers and backend developers who are early in the process of choosing a cloud sandbox provider will get the most out of AgentSandboxes. The source-linked specs save real time compared to manually cross-referencing documentation across E2B, Modal, Fly.io, Cloudflare Workers, and similar providers. It is also useful for teams building internal tooling or agent frameworks who want to expose sandbox options to their own systems via the MCP endpoint, since no API key is required. Anyone who needs to actually run agents, not just pick a provider, should look elsewhere. Orkas, which is already in this directory, is a better fit if you want a local-first desktop environment where AI agents coordinate and execute complex workflows end to end. If your need is scheduled, unattended agent execution rather than provider research, Cronloop is the more direct answer. ## FAQ Q: Does AgentSandboxes cost anything to use as a developer? A: No. Browsing the directory, filtering by category, comparing providers, and calling the REST API or MCP endpoint all require no account and no payment. Q: What does the MCP endpoint actually do? A: The MCP endpoint at agentsandboxes.fyi/mcp uses Streamable HTTP and requires no API key. It lets AI assistants or agent frameworks query the sandbox provider index directly, so a coding tool can pull provider specs without a human visiting the site. Q: How much does it cost to list a sandbox provider? A: A basic public listing is free. Verified-by-vendor status costs $9/month, Featured placement costs $19/month, and a Sponsored category-page slot costs $29/month. All prices are stated to double after every 10 sales, and all sales are final with no refunds. Q: Does paying for a listing change the facts shown about a provider? A: No. The site states explicitly that paid status changes only the badge or placement. Every claim still requires a cited vendor source regardless of which plan a provider is on. Q: Can AgentSandboxes help me deploy or run AI agents? A: No. It is a research and comparison directory only. It tells you which providers exist and what their documented specs are; it does not provide any execution, orchestration, or deployment capability. Q: What data does each listing include? A: Listings cover isolation class, cold start behavior, persistence options, GPU support, pricing, and free tier availability, all sourced from vendor documentation with individual facts linked to their source pages.