Thinking Machines

Thinking Machines Lab is an artificial intelligence research and product company building tools to make AI systems more widely understood, customizable, and generally capable. Its flagship developer product is Tinker, a managed API with an official Python SDK and CLI for fine-tuning and sampling open-weight language models (supervised fine-tuning, reinforcement learning, and distillation), alongside Inkling, an open-weights model. The Tinker platform exposes ServiceClient, TrainingClient, SamplingClient, and RestClient interfaces plus OpenAI- and Anthropic-compatible inference endpoints, governed by a project-scoped permission model.

Thinking Machines is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, Fine-Tuning, and LLM.

Thinking Machines’ developer surface includes pricing, documentation, API reference, quickstart, signup flow, support, engineering blog, and 26 more developer resources.

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45.3/100 developing ▬ flat Agent 3/100 human only Front door AI 6/6 dominant Heartbeat 65/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

1 API

Company Artificial Intelligence Machine Learning Fine-Tuning LLM Model Training Developer Tools Foundation Models Reinforcement Learning

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 45.3/100 · developing

Contract Quality 0.0 / 21

Developer Ergonomics 12.1 / 17

Access Clarity 14.3 / 17

Operational Transparency 4.1 / 11

Contract Governance 0.5 / 10

Discoverability 6.2 / 9

Regulatory Posture 4.2 / 15

Agent readiness — 3/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the AI & Biometrics regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

11 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Contract Governance scores 4.5 — up to +11.5 composite points
Operational Transparency scores 36.8 — up to +8.2 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/thinking-machines/apis.yml: open an issue on github.com/api-evangelist/thinking-machines to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Tinker API

Managed training/fine-tuning and sampling API for open-weight language models, consumed through the official Tinker Python SDK and CLI. Supports SFT, RL, and distillation workfl...

Thinking Machines API pricing

Prices published by Thinking Machines, read 2026-10-07 from tinker-docs.thinkingmachines.ai/tinker/models/models_and_....

Plan	Price
Checkpoint storage	$0.10 per GB per month
Inkling (64K) — prefill	$1.87 per million tokens (prefill, limited-time 50% discount)
Inkling (64K) — sample	$4.68 per million tokens (sample)
Inkling (64K) — train	$5.61 per million tokens (train)
Qwen3-8B — prefill	$0.195 per million tokens (prefill)
Qwen3-8B — sample	$0.60 per million tokens (sample)
Qwen3-8B — train	$0.44 per million tokens (train)
Serverless Inference (Beta) — Inkling input	$1.00 per million input tokens

All 11 plans, limits and sources →

Billed by: million tokens (sample) · FinOps profile →

Pricing Plans 1

Published pricing tiers and plan structures.

Thinking Machines Plans Pricing

11 plans

PLANS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Thinking Machines Finops

FINOPS

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Thinking Machines Authentication

1 scheme

SECURITY

Thinking Machines Domain Security

TLSv1.2 · HSTS · DMARC

SECURITY

Thinking Machines Vulnerability Disclosure

contact published

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

Quickstart

Quickstart

SignUp

SignUp

Documentation 3

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

APIReference

APIReference

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conventions

DataModel

ErrorCatalog

Conformance

Lifecycle

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

SDKs

Packages

CLI

Access & Security 5

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

SecurityTxt

SecurityTxt

VulnerabilityDisclosure

VulnerabilityDisclosure

Security

Security

Operate 4

Status, limits, changes, and where to get help

Support

ChangeLog

ChangeLog

Deprecation

Commercial 4

Pricing, plans, and the legal terms of use

Pricing

Plans

TermsOfService

PrivacyPolicy

Company 3

The organization behind the API

BlogRSS

BlogRSS

Website

Website

Blog

Blog

Source (apis.yml)

aid: thinking-machines
name: Thinking Machines
description: Thinking Machines Lab is an artificial intelligence research and product company building tools to make AI systems
  more widely understood, customizable, and generally capable. Its flagship developer product is Tinker, a managed API with
  an official Python SDK and CLI for fine-tuning and sampling open-weight language models (supervised fine-tuning, reinforcement
  learning, and distillation), alongside Inkling, an open-weights model. The Tinker platform exposes ServiceClient, TrainingClient,
  SamplingClient, and RestClient interfaces plus OpenAI- and Anthropic-compatible inference endpoints, governed by a project-scoped
  permission model.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://thinkingmachines.ai/images/home.png
url: https://raw.githubusercontent.com/api-evangelist/thinking-machines/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- accel
- lightspeed-venture-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
x-docs-platform: mkdocs
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-17
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Fine-Tuning
- LLM
- Model Training
- Developer Tools
- Foundation Models
- Reinforcement Learning
tags_raw:
- Company
- Ai
- Artificial Intelligence
- Machine Learning
- Fine-Tuning
- LLM
- Model Training
- Developer Tools
- Machine-Learning
- Foundation Models
- Reinforcement Learning
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
apis:
- name: Tinker API
  description: Managed training/fine-tuning and sampling API for open-weight language models, consumed through the official
    Tinker Python SDK and CLI. Supports SFT, RL, and distillation workflows, checkpoint management, and OpenAI- and Anthropic-compatible
    inference endpoints (beta).
  humanURL: https://tinker-docs.thinkingmachines.ai/
  baseURL: https://tinker.thinkingmachines.ai
  tags:
  - Fine-Tuning
  - LLM
  - Inference
  properties:
  - type: Documentation
    url: https://tinker-docs.thinkingmachines.ai/
  - type: APIReference
    url: https://tinker-docs.thinkingmachines.ai/tinker/api-reference/
  - type: Quickstart
    url: https://tinker-docs.thinkingmachines.ai/tinker/quickstart/
  - type: Pricing
    url: https://tinker-docs.thinkingmachines.ai/tinker/models/
common:
- type: Pricing
  url: https://tinker-docs.thinkingmachines.ai/tinker/models/models_and_pricing/
- type: Plans
  url: plans/thinking-machines-plans-pricing.yml
- url: https://thinkingmachines.ai/blog/index.xml
  type: BlogRSS
- type: DomainSecurity
  url: security/thinking-machines-domain-security.yml
- type: Website
  url: https://thinkingmachines.ai/
- type: DeveloperPortal
  url: https://tinker-docs.thinkingmachines.ai/
- type: Documentation
  url: https://tinker-docs.thinkingmachines.ai/
- type: APIReference
  url: https://tinker-docs.thinkingmachines.ai/tinker/api-reference/
- type: Quickstart
  url: https://tinker-docs.thinkingmachines.ai/tinker/quickstart/
- type: SignUp
  url: https://tinker.thinkingmachines.ai/
- type: Support
  url: https://tinker-docs.thinkingmachines.ai/support/
- type: Blog
  url: https://thinkingmachines.ai/blog/
- type: GitHubOrganization
  url: https://github.com/thinking-machines-lab
- type: TermsOfService
  url: https://thinkingmachines.ai/legal/terms/
- type: PrivacyPolicy
  url: https://thinkingmachines.ai/legal/privacy/
- type: SDKs
  url: packages/thinking-machines-packages.yml
- type: Packages
  url: packages/thinking-machines-packages.yml
- type: CLI
  url: cli/thinking-machines-cli.yml
- type: Authentication
  url: authentication/thinking-machines-authentication.yml
- type: Conventions
  url: conventions/thinking-machines-conventions.yml
- type: DataModel
  url: data-model/thinking-machines-data-model.yml
- type: ErrorCatalog
  url: errors/thinking-machines-problem-types.yml
- type: Conformance
  url: conformance/thinking-machines-conformance.yml
- type: ChangeLog
  url: changelog/thinking-machines-changelog.yml
- type: ChangeLog
  url: https://tinker-docs.thinkingmachines.ai/changelog/
- type: Lifecycle
  url: lifecycle/thinking-machines-lifecycle.yml
- type: Deprecation
  url: https://tinker-docs.thinkingmachines.ai/tinker/model-deprecations/
- type: LLMsTxt
  url: llms/thinking-machines-llms.txt
- type: WellKnown
  url: well-known/thinking-machines-well-known.yml
- type: SecurityTxt
  url: well-known/thinking-machines-security.txt
- type: VulnerabilityDisclosure
  url: security/thinking-machines-vulnerability-disclosure.yml
- type: Security
  url: security/thinking-machines-vulnerability-disclosure.yml
- type: APIReference
  url: https://tinker-docs.thinkingmachines.ai/tinker/api-reference/restclient/
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 14
  pass: local-v1

Thinking Machines API — frequently asked questions

Does Thinking Machines have an API?

Yes. APIs.io lists 1 API from Thinking Machines, including Tinker API.

How do I authenticate with the Thinking Machines API?

Thinking Machines uses bearer-token authentication (1 scheme). The details are profiled on APIs.io as Thinking Machines Authentication.

How much does the Thinking Machines API cost?

Thinking Machines publishes its prices; its Checkpoint storage plan is $0.10 per GB per month as of 2026-10-07. APIs.io lists 11 pricing plans for Thinking Machines, with each plan's price, limits and inclusions under Pricing on this page.

Is the Thinking Machines API ready for AI agents?

Thinking Machines has a Kin Score of 45.3 out of 100 (developing) and an Agent Readiness score of 3.2 (human-only), scored by API Evangelist on 2026-11-06.

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