Runlayer Pricing: A Complete Breakdown for 2026

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Most enterprise AI platforms make pricing difficult to estimate before talking to sales. Runlayer is no exception. The platform focuses on enterprise agent governance, Shadow AI discovery, and managed MCP infrastructure, but it doesn't publish pricing anywhere on its site. That makes it hard for engineering leaders to estimate cost or compare vendors during the early stages of evaluation, which is usually exactly when you want a number.
This guide breaks down what's publicly known about Runlayer pricing, what factors move the quote up or down, what's actually included, and how it compares with alternatives that publish their pricing.
Does Runlayer publish pricing?
No. Runlayer does not publish pricing or plan tiers. Every deal goes through a custom quote after you contact sales, and there's no self-serve signup, no "starts at" number, and no publicly advertised free trial.
The quote you'd get likely depends on:
- Organization size
- Number of users
- Deployment model
- Enterprise requirements (compliance, data residency)
- Support level
That's a reasonable set of levers for enterprise governance software, but it also means you can't sanity-check a number until you're already in a sales cycle.
What influences Runlayer pricing?
Since there's no rate card, the honest way to estimate cost is to look at what the platform actually governs and assume pricing scales with it.
Enterprise deployment
- Managed SaaS vs. more involved enterprise rollouts
- Private or dedicated deployment options for larger accounts
- Compliance requirements that add implementation and review overhead
Number of users
- Platform teams managing the rollout
- Security teams reviewing policy and access
- Developers and other employees actually using governed agents
Agent governance scale
- Number of agents under management
- Number of MCP servers registered and governed
- Policy complexity (identity, budget, and runtime rules)
- Identity provider integrations (Okta, Azure AD, and similar)
Enterprise security
- SOC 2, HIPAA, and GDPR compliance
- SSO and identity integration
- Role-based access control
- Audit logging and reporting
Support
- Enterprise SLA terms
- Dedicated support contacts
- Professional services for rollout and integration
Any of these can move a quote meaningfully. A single platform team piloting the MCP gateway on a small agent footprint is a different deal from a company rolling out identity-scoped governance to every employee.
TrueFoundry: the MCP governance layer with a price tag you can see

TrueFoundry approaches the same problem Runlayer solves, controlling which tools and MCP servers agents can reach, as a published product rather than a custom enterprise deal. The MCP Gateway applies role-based access control to every registered MCP server, supports virtual MCP servers for teams composing multiple tools behind one governed endpoint, and logs every tool call with metrics visible in the same dashboard as LLM traffic.
Where Runlayer wraps identity, budgets, and OAuth grants around agent access without a dedicated AI Gateway alongside it, TrueFoundry pairs the same category of governance (RBAC, quotas, audit logs) with an AI Gateway that routes and governs the underlying model traffic in the same control plane. That matters if your evaluation includes LLM cost and routing, not just MCP access.
A platform team evaluating Runlayer for MCP governance can register up to 25 MCP servers and get RBAC, virtual MCP servers, and tool-call metrics on the $499/month Pro plan, and see the exact tool-call and request limits before signing anything. Full breakdown at truefoundry.com/pricing.
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Runlayer vs TrueFoundry
Is Runlayer worth the cost?
Good fit if:
- You're a large enterprise with the budget and process for a custom procurement cycle
- Security is the primary driver and Shadow AI discovery specifically matters to you
- You need to find and govern agents, MCPs, and plugins that are already running unmanaged
Consider alternatives if:
- Pricing transparency matters before you're willing to start a sales conversation
- You're a platform team without a dedicated procurement process
- You want AI Gateway and MCP Gateway governance together, not MCP governance alone
- You need a free tier to prototype on before committing budget
- You're evaluating multiple vendors and want to compare real numbers side by side
FAQ
Is Runlayer expensive?
âThere's no public number to confirm this either way. Runlayer is positioned as enterprise governance software, backed by $11M in seed funding and a $30M Series A, which typically funds enterprise sales motion rather than a low-cost self-serve product. Expect an enterprise-scale quote rather than a low monthly fee.
Does Runlayer have public pricing?
âNo. Runlayer doesn't list plans, tiers, or a starting price anywhere on its site. Every deal runs through a demo request and a custom quote.
Is there a free tier?
âNo. There's no publicly advertised free tier or free trial. The only path to see the product is booking a demo.
How do I estimate the total cost?
âUse the cost drivers in this guide as a checklist when you talk to sales: organization size, number of users, number of agents and MCP servers under governance, compliance requirements, and support tier. Ask for a quote broken out by these dimensions rather than a single bundled number, so you can see what's driving the price.
How does it compare to alternatives like TrueFoundry?
âTrueFoundry publishes four pricing tiers starting at $0/month and covers AI Gateway and MCP Gateway governance in one platform. Runlayer has stronger Shadow AI discovery specifically, but requires a sales conversation for any number at all. See the comparison table above for a full breakdown.
Conclusion
Runlayer's pricing opacity isn't unusual for enterprise AI governance software, and its Shadow AI discovery is a genuine strength if that's your primary concern. But if you'd rather see real numbers before a sales call, and want AI Gateway and MCP Gateway governance from the same platform, check TrueFoundry's published pricing or book a demo to compare the two directly.
TrueFoundry AI Gateway delivers ~3â4 ms latency, handles 350+ RPS on 1 vCPU, scales horizontally with ease, and is production-ready, while LiteLLM suffers from high latency, struggles beyond moderate RPS, lacks built-in scaling, and is best for light or prototype workloads.
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