Thinking Machines Lab
Thinking Machines Lab is an AI research company (founded by Mira Murati) whose first product is Tinker — a cloud training API for researchers and developers. Tinker gives you full control over your data, algorithms, and models while it manages the GPU infrastructure: you author training loops locally with four primitives (forward_backward, optim_step, sample, save_state) and Tinker runs distributed LoRA fine-tuning across dense and Mixture-of-Experts models from 1B to 1T+ parameters. It supports SFT, reinforcement learning (GRPO, PPO), DPO, and distillation, shipped as an official Python SDK (tinker) plus the tinker-cookbook of recipes, a web console/playground, and OAuth 2.0 / OIDC authentication.
Thinking Machines Lab is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine-Learning, LLM, and Fine-Tuning.
Thinking Machines Lab’s developer surface includes documentation, API reference, getting-started guide, engineering blog, support, pricing, signup flow, and 23 more developer resources.
Kin Score
Security Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Scopes 1
OAuth scopes governing access to this provider's APIs.
Resources
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 6
Authentication, authorization, and security posture
Operate 4
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API