Self-service capacity
For teams proving and operating a focused workload. Simple monthly execution capacity, no charge for protocol chatter.
HAPI MCP pricing
AI can generate MCP code. It does not remove the work of securing, deploying, testing, updating, and retiring every generated server. HAPI keeps your existing API contract at the center.
Talk about production capacityThe commercial model
For teams proving and operating a focused workload. Simple monthly execution capacity, no charge for protocol chatter.
For organizations standardizing how many production APIs stay available to AI. Capacity is contracted; API Units guide the conversation.
Production paths
Not sure which production plan is right for you? We have you covered: start with the Pilot Accelerator, a focused 14-day proof before committing to a recurring plan.
$0
no account required
36,000 MCP executions / month
20 per minute
Explore HAPI locally or in a low-volume environment.
$99
per month
250,000 MCP executions / month
120 per minute
For a first production integration and small engineering teams.
$399
per month
2 million MCP executions / month
600 per minute
For teams making API capabilities part of their product.
one-time engagement
14-day proof
One workflow · one MCP Server
For teams that want evidence before choosing a production plan.
An execution is an MCP tools/call. Discovery and protocol operations are not billable capacity.
The ownership question
Open source and AI-generated code can reduce acquisition cost. They do not remove lifecycle ownership.
Enterprise
Enterprise is not Pro with more executions. It covers estate licensing, contracted execution capacity, private deployment options, and the support needed to keep a growing API surface AI-ready.
API Unit: one production API/OpenAPI service, up to 50 operations. A 51–100 operation API uses two Units.
Use production APIs only. This is an indicative estimate; an Enterprise agreement confirms the count from the actual API estate.
One API Unit covers up to 50 operations. For a varied estate, count each API from its own OpenAPI definition instead of relying on an average.
Zero-Shadow Pilot
The Thin-Slice Pilot proves a focused workflow. For Enterprise teams, the Zero-Shadow Pilot carries that evidence into an API-estate adoption recommendation, including AI consumption, authorization, deployment, and the lifecycle difference between HAPI and shadow MCP code.
Production capacity conversation
We use this to recommend the right capacity, Pilot Accelerator, or Enterprise approach.
Pricing details
An MCP execution is a completed tools/call operation. Initialization, discovery, tool listing, health checks, prompts, and resource reads do not consume execution capacity.
For Enterprise licensing, one API Unit covers one production API or OpenAPI service with up to roughly 50 operations. An API with 51–100 operations uses two Units. Count every production API separately, then add the Units together. This reflects the API estate kept AI-ready, not an arbitrary count of MCP tools.
Tool design is an architecture decision. HAPI should help teams design useful AI capabilities, not reward them for combining or removing tools to lower an invoice.
Self-service plans are designed to prompt an upgrade before capacity becomes a problem. Enterprise agreements use contracted capacity, negotiated bursts, and agreed review terms rather than surprise usage bills.
Yes. Free HAPI is available for experimentation and low-volume use through npm/Bun, native binaries, and Docker. A production conversation starts only when you want more capacity or commercial capabilities.