MosaicML
MosaicML was a San Francisco-based foundation model training company founded in 2021 by Naveen Rao and Hanlin Tang to make large-scale model training faster and cheaper through algorithmic and systems efficiency. Databricks acquired MosaicML in July 2023 for approximately $1.3 billion and folded the team and platform into Databricks Mosaic AI Research. The MosaicML training platform is now delivered as Databricks Mosaic AI Training (pretraining and finetuning), and the original mosaicml.com domain redirects to the Databricks Mosaic Research microsite. MosaicML's surviving open-source artifacts include Composer (a PyTorch training library with built-in speedup recipes), Streaming (a cloud-native dataset format for efficient distributed training), LLM Foundry (the training code behind Databricks' DBRX foundation model), the Diffusion training stack, and the MCLI command line and Python SDK that orchestrate Pretraining and Finetuning jobs against the managed training service. The Mosaic AI Training service itself is accessed exclusively through the MCLI command line, the mosaicml-cli Python SDK, and Databricks workspace integrations — there is no publicly published REST OpenAPI surface for the training control plane. Commercial access requires a Databricks account; pricing is consumption-based via Databricks DBU billing rather than an independent MosaicML pricing page.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles MosaicML the way a machine reads it — 2 machine-readable artifacts, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — MosaicML scores 13.0/100 (minimal), with a separate agent-readiness read of 7/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile MosaicML
Each block below is one kind of artifact we hold for MosaicML. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for MosaicML — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Learn 1
Tutorials, courses, talks, and written guidance
Commercial 1
Pricing, plans, and the legal terms of use
Company 5
The organization behind the API
Other 7
Properties that don't map to a standard resource type
Scroll within the panel for all 7 ·
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