Home / Companies / MintMCP / Blog / Post Details
Content Deep Dive

Speakeasy Pricing (2026): SDK, MCP Hosting and AI Control Plane Costs | Mintive Blog

Blog post from MintMCP

Post Details
Company
Date Published
Author
Mintive
Word Count
2,730
Company Posts That Month
59
Language
English
Hacker News Points
-
Post removed?
No
Summary

Speakeasy has broadened its focus from OpenAPI-based SDK and Terraform provider generation to enterprise AI governance through its AI Control Plane, which supports MCP server hosting, agent identities, OAuth and SSO, role-based access controls, observability, threat detection, audit logs, and token-based cost tracking. Its public pricing includes a free SDK tier for one SDK with up to 50 API methods, while current paid SDK, AI Control Plane, and Tokens Under Management rates require direct sales engagement; the formerly public $600-per-language monthly SDK price is no longer listed. The discussion emphasizes that total AI infrastructure costs include subscriptions, OpenAPI specification cleanup, integrations, compliance, and ongoing maintenance, and that SDKs primarily suit human developers while MCP gateways centralize access governance for AI agents. It compares Speakeasy with Mintive, another managed MCP gateway provider offering custom pricing, hosted connectors, role-based Virtual MCPs, security-policy integrations, and monitoring, while noting that organizations should assess deployment needs, governance requirements, usage patterns, data-residency constraints, and the tradeoff between self-managed infrastructure and managed platforms.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
MCP 48 11,903 1,228 233 +12%
AI Agents 17 7,011 1,665 270 +24%
LLM 7 6,571 1,241 235 +9%
Platform Engineering 3 2,013 398 101 +19%
Developer Experience 2 486 263 70 -24%
AI Coding Assistant 1 1,959 542 147 +23%
Observability 1 3,081 741 186 +11%
OpenTelemetry 1 860 177 65 +21%
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.