LM-Kit
LM-Kit provides private AI infrastructure for enterprises, offering LM-Kit One as a self‑hosted AI application server and LM-Kit.NET as an embedded runtime for .NET applications. It enables running models, agents, retrieval‑augmented generation, search, and document intelligence within your own infrastructure, ensuring data privacy and control. Part of the Calico IIM Group, LM‑Kit focuses on secure, on‑premise AI solutions for businesses.
LM-Kit is profiled on the APIs.io network. Tagged areas include Company, AI, Private, Enterprise, and Infrastructure.
LM-Kit’s developer surface includes support, changelog, getting-started guide, documentation, engineering blog, pricing, and 14 more developer resources.
Kin Score
Pricing Plans 1
Published pricing tiers and plan structures.
Lm Kit Plans Pricing
PLANSSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 5
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 1
Properties that don't map to a standard resource type
Source (apis.yml)
LM-Kit API — frequently asked questions
How much does the LM-Kit API cost?
APIs.io lists 2 pricing plans for LM-Kit, with each plan's price, limits and inclusions under Pricing Plans on this page.
Is the LM-Kit API ready for AI agents?
LM-Kit has a Kin Score of 27.9 out of 100 (thin) and an Agent Readiness score of 3.1 (human-only), scored by API Evangelist on 2026-10-31.
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.