DeepMind

Google DeepMind is an artificial intelligence research laboratory and product organization behind the Gemini and Gemma foundation model families, the AlphaFold protein-structure prediction system, WeatherNext atmospheric forecasting, and Gemini Robotics. Founded in London and now part of Google, DeepMind combines frontier AI research with public and developer-facing model deployment. Its models are exposed to developers through the Google AI / Gemini API and Google AI Studio, while its research tooling ships as first-party open-source JAX libraries (Haiku, Optax, Chex, dm-control, and more) on GitHub and PyPI. Originally an independent startup backed by early investors including Founders Fund before its acquisition by Google.

DeepMind is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, Foundation Models, and LLM.

DeepMind’s developer surface includes documentation, API reference, getting-started guide, engineering blog, signup flow, pricing, and 11 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

28.5/100 thin ▬ flat Agent 0/100 human only Front door AI 6/6 dominant Heartbeat 95/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemium

0 APIs

Company Artificial Intelligence Machine Learning Foundation Models LLM Research Robotics Developer Tools

Kin Score

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

Composite quality — 28.5/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 6.9 / 17

Access Clarity 13.0 / 17

Operational Transparency 0.3 / 11

Contract Governance 0.0 / 10

Discoverability 4.7 / 9

Regulatory Posture 1.9 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 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/.

Show this score on your site.

It updates itself when the score changes. Paste this where you link to your API docs:

<a href="https://apis.io/providers/deepmind/"><img src="https://apis.io/badge/deepmind/card.svg" alt="DeepMind on APIs.io — Kin Score by API Evangelist"></a>

Other styles, a README pill and a shields.io endpoint are on the badge page.

Raise your score.

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
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
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)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

13 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
Operational Transparency scores 2.6 — up to +12.7 composite points
Contract Governance scores 0.0 — up to +12.0 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/deepmind/apis.yml: open an issue on github.com/api-evangelist/deepmind 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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Agent Skills (SKILL.md packages)	undeclared	-	-	1

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

DeepMind API pricing

Prices published by DeepMind, read 2026-10-07 from ai.google.dev/gemini-api/docs/pricing. A free plan or tier is listed.

Plan	Price
Free	Get started for Free Includes: Limited access to certain models; free input & output tokens; Google AI Studio access; content used
Paid	Upgrade to Paid Includes: Higher rate limits, context caching, Batch API (50% cost reduction), advanced models
Enterprise	Contact Sales Includes: All features in Paid plus dedicated support, provisioned throughput, volume-based discounts
Gemini 3.8 Flash input	$0.75 through December 31, 2026. per 1M tokens Includes: Free tier: free of charge
Gemini 3.8 Flash output	$3.75 through December 31, 2026. per 1M tokens (including thinking)
Gemini 3.5 Flash input	$1.50 per 1M tokens
Gemini 3.5 Flash output	$9.00 per 1M tokens
Gemini 3.5 Flash-Lite input	$0.30 (text/ image/ video/ audio) per 1M tokens

All 21 plans, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Deepmind Plans Pricing

21 plans

PLANS

Security Posture 1

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

Deepmind Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Build 2

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 3

The organization behind the API

BlogRSS

BlogRSS

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

Research

Research

Source (apis.yml)

aid: deepmind
name: DeepMind
description: Google DeepMind is an artificial intelligence research laboratory and product organization behind the Gemini
  and Gemma foundation model families, the AlphaFold protein-structure prediction system, WeatherNext atmospheric forecasting,
  and Gemini Robotics. Founded in London and now part of Google, DeepMind combines frontier AI research with public and developer-facing
  model deployment. Its models are exposed to developers through the Google AI / Gemini API and Google AI Studio, while its
  research tooling ships as first-party open-source JAX libraries (Haiku, Optax, Chex, dm-control, and more) on GitHub and
  PyPI. Originally an independent startup backed by early investors including Founders Fund before its acquisition by Google.
url: https://raw.githubusercontent.com/api-evangelist/deepmind/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- founders-fund
x-tier: stub
x-tier-reason: portfolio-lead
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: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
image: https://lh3.googleusercontent.com/BJIjbCcZWJxE1GFvgIXWdWFXW0ECXBzsBe-JHx95GSuDVFKdli-cocBQRXll_xaipD6bNQ0B_Wz7JI2Ken5TFjrfUuSlv0hgq2qjgirOMK2eirjLXA8=w1200-h630-n-nu-rw
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Foundation Models
- LLM
- Research
- Robotics
- Developer Tools
tags_raw:
- Company
- Ai
- Machine Learning
- Foundation Models
- LLMs
- Research
- Robotics
- Developer Tools
- Machine-Learning
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/deepmind-plans-pricing.yml
- url: https://deepmind.google/blog/rss.xml
  type: BlogRSS
- type: Website
  url: https://deepmind.google
- type: DeveloperPortal
  url: https://ai.google.dev
- type: Documentation
  url: https://ai.google.dev/gemini-api/docs
- type: APIReference
  url: https://ai.google.dev/api
- type: GettingStarted
  url: https://ai.google.dev/gemini-api/docs/quickstart
- type: Blog
  url: https://deepmind.google/discover/blog/
- type: Research
  url: https://deepmind.google/research/
- type: GitHubOrganization
  url: https://github.com/google-deepmind
- type: SignUp
  url: https://aistudio.google.com/
- type: Pricing
  url: https://ai.google.dev/gemini-api/docs/pricing
- type: TermsOfService
  url: https://ai.google.dev/gemini-api/terms
- type: PrivacyPolicy
  url: https://policies.google.com/privacy
- type: LLMsTxt
  url: llms/deepmind-llms.txt
- type: Packages
  url: packages/deepmind-packages.yml
- type: DomainSecurity
  url: security/deepmind-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

DeepMind API — frequently asked questions

How much does the DeepMind API cost?

DeepMind publishes its prices; its Free plan is Get started for Free as of 2026-10-07. APIs.io lists 21 pricing plans for DeepMind, with each plan's price, limits and inclusions under Pricing on this page.

Is the DeepMind API ready for AI agents?

DeepMind has a Kin Score of 28.5 out of 100 (thin) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

Call it yourself

curl for this page

This provider

curl "https://apis.io/api/v1/providers/deepmind"

All providers

curl "https://apis.io/api/v1/providers?limit=25"

Every operation they expose

curl "https://apis.io/api/v1/providers/deepmind/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/deepmind/evidence"

Calls without X-API-Key need no key. Calls with it need a paid plan — get a key.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.