Google Gemini

Google's multimodal AI model APIs for text, image, audio, and video understanding.

Google Gemini publishes 20 API contracts indexed on the APIs.io network, including Content Generation API, Embeddings API, and 18 more. Tagged areas include AI Agents, Artificial Intelligence, Code Generation, Embeddings, and Generative AI.

The Google Gemini catalog on APIs.io includes 1 event-driven AsyncAPI specification, 1 JSON-LD context, and 2 Spectral governance rulesets.

Google Gemini’s developer surface includes pricing, authentication, support, engineering blog, and 20 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

53.5/100 developing ▬ flat Agent 30/100 agent ready Front door AI 6/6 dominant saas Full breakdown ↓
scored 2026-10-17 · rubric v0.24.0

AccessFreemiumSelf serve⚡ Free to try

1 published contract 3 Agent Skills

AI Agents Artificial Intelligence Code Generation Embeddings Generative AI Image Generation LLM Machine Learning Multi-Modal Real-Time Foundation Models Agents Audio Understanding Batch Processing Deep ResearchDocument UnderstandingFunction CallingStructured OutputText-to-Speech Video Generation Video Understanding

What this lets a business do 1

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

Information & Data Management

BC-610

Content Generation

POST /models/{model}:generateContent

Kin Score

Kin Score How this is scored →
scored 2026-10-17 · rubric v0.24.0

Composite quality — 53.5/100 · developing

Contract Quality 12.7 / 19

Developer Ergonomics 8.5 / 15

Access Clarity 9.5 / 15

Operational Transparency 4.1 / 10

Contract Governance 1.2 / 9

Discoverability 4.2 / 8

Regulatory Posture 3.4 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 30/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 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 7 / 7

Typed Event Surface 6 / 6

Agent Skills 5 / 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

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 applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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 github.com/api-evangelist/google-gemini: open an issue to ask a question, or submit a pull request to add artifacts. 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
AI Model Routing	covered	46.2	-	-
Retrieval, Vector and RAG	covered	46.2	-	-
Speech and Voice AI	covered	46.2	-	-

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.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

The OpenAI Interface

prose — states compatibility; nothing published to check it against

2 core of 338 operations graded · api-commons/models

APIs 20

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

Gemini Pro API

Advanced reasoning and complex task handling.

Gemini Pro Vision API

Multimodal understanding of text and images.

Gemini Ultra API

Most capable model for highly complex tasks.

Gemini Embedding API

Generate text embedding vectors for semantic search, classification, clustering, and retrieval tasks using the gemini-embedding-001 model.

Gemini Live API

Low-latency real-time voice and video interactions with Gemini using WebSockets for streaming multimodal input and output.

Gemini Context Caching API

Cache input tokens for repeated use across multiple requests to reduce costs and improve latency for large context workloads.

Gemini Fine-Tuning API

Customize Gemini model behavior for specific tasks using supervised fine-tuning with your own training data.

Gemini Interactions API

Unified interface for interacting with Gemini models and agents providing a consistent way to manage multi-turn conversations and tool use.

Vertex AI Gemini API

Enterprise-grade access to Gemini models through Google Cloud Vertex AI with advanced features including grounding, safety filters, and regional endpoints.

Vertex AI Imagen API

Generate and edit images using Google Imagen models on Vertex AI for high-quality image creation from text prompts.

Vertex AI Gemini Live API

Enterprise real-time multimodal streaming API on Vertex AI for building low-latency voice and video AI agents.

Vertex AI Text Embeddings API

Generate text embeddings for semantic search and classification tasks using Google embedding models on Vertex AI.

Firebase AI Logic API

Access Gemini API capabilities through Firebase SDKs for mobile and web applications with built-in security and authentication.

Google Gemini Content Generation API

Generate content using Gemini models with text, image, audio, and video inputs. Supports multimodal prompts, function calling, structured output, and configurable safety settings.

Google Gemini Embeddings API

Generate text embedding vectors for semantic search, classification, clustering, and retrieval tasks using Gemini embedding models.

Gemini Python SDK

Python client library for the Gemini API.

Gemini Node.js SDK

Node.js client library for the Gemini API.

Gemini Go SDK

Go client library for the Gemini API, providing an interface for developers to integrate Google generative models into Go applications.

Gemini Java SDK

Java client library for the Gemini API, providing an interface for developers to integrate Google generative models into Java applications.

Gemini C# SDK

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Google Gemini Rate Limits

7 limits

RATE LIMITS

FinOps 1

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

Google Gemini Finops

FINOPS

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Google Gemini Streaming and Live API

AsyncAPI specification describing Google Gemini's real-time and streaming surface area: * The Live API bidirectional WebSocket service (BidiGenerateContent) used for low-latency...

ASYNCAPI

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Google Gemini Context

0 classes · 23 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs.

Google Gemini — asyncapi rules

9 rules · 1 errors 7 warnings 1 info

SPECTRAL

Google Gemini — jsonschema rules

6 rules · 4 warnings 2 info

SPECTRAL

1 properties

JSON SCHEMA

UsageMetadata

4 properties

JSON SCHEMA

Scroll for all 25

JSON Structure 1

JSON Structure definitions describing this provider's data shapes.

Google Gemini Structure

0 properties

JSON STRUCTURE

Security Posture 2

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

Google Gemini Authentication

apiKey · 1 scheme

SECURITY

Google Gemini Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Google Gemini Agentic Access

3 operations · 3 acting

AGENTIC

Resources

Documentation 1

Reference material describing how the API behaves

Google Cloud Documentation

Google Cloud Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

AgentSkills

AgentSkills

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Learn 1

Tutorials, courses, talks, and written guidance

Cookbook

Cookbook

Operate 5

Status, limits, changes, and where to get help

RateLimits

StatusPage

Support

Discord

Forums

Commercial 5

Pricing, plans, and the legal terms of use

Pricing

FinOps

Plans

TermsOfService

PrivacyPolicy

Company 3

The organization behind the API

Website

Website

Blog

Blog

Website

Website

Other 4

Properties that don't map to a standard resource type

CapabilityMap

Google AI Studio

Safety Guidance

Vertex AI Studio

Source (apis.yml)

aid: google-gemini
name: Google Gemini
description: Google's multimodal AI model APIs for text, image, audio, and video understanding.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  label: Freemium · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
image: https://www.gstatic.com/lamda/images/gemini_sparkle_v002_d4735304ff6292a690345.svg
url: https://ai.google.dev/
created: '2024-01-01'
modified: '2026-09-16'
specificationVersion: '0.23'
type: Index
tags:
- AI Agents
- Artificial Intelligence
- Code Generation
- Embeddings
- Generative AI
- Image Generation
- LLM
- Machine Learning
- Multi-Modal
- Real-Time
- Foundation Models
- Agents
- Audio Understanding
- Batch Processing
- Deep Research
- Document Understanding
- Function Calling
- Structured Output
- Text-to-Speech
- Video Generation
- Video Understanding
tags_raw:
- Agentic AI
- Artificial Intelligence
- Code Generation
- Embeddings
- Generative AI
- Image Generation
- LLM
- Machine Learning
- Multimodal
- Image-Generation
- Machine-Learning
- Real-Time
- Foundation Models
- Agents
- Audio Understanding
- Batch Processing
- Deep Research
- Document Understanding
- Function Calling
- Structured Output
- Text-to-Speech
- Video Generation
- Video Understanding
apis:
- name: Gemini Pro API
  description: Advanced reasoning and complex task handling.
  baseURL: https://generativelanguage.googleapis.com/v1beta/models/gemini-pro
  tags:
  - Reasoning
  - Text Generation
  properties:
  - type: Documentation
    url: https://ai.google.dev/models/gemini
- name: Gemini Pro Vision API
  description: Multimodal understanding of text and images.
  baseURL: https://generativelanguage.googleapis.com/v1beta/models/gemini-pro-vision
  tags:
  - Image Understanding
  - Multi-Modal
  - Vision
  tags_raw:
  - Image Understanding
  - Multimodal
  - Vision
  properties:
  - type: Documentation
    url: https://ai.google.dev/tutorials/prompting_with_media
- name: Gemini Ultra API
  description: Most capable model for highly complex tasks.
  baseURL: https://generativelanguage.googleapis.com/v1beta/models/gemini-ultra
  tags:
  - Advanced AI
  - Complex Tasks
  properties:
  - type: Documentation
    url: https://ai.google.dev/models/gemini
- name: Gemini Embedding API
  description: Generate text embedding vectors for semantic search, classification, clustering, and retrieval tasks using
    the gemini-embedding-001 model.
  humanURL: https://ai.google.dev/gemini-api/docs/embeddings
  baseURL: https://generativelanguage.googleapis.com
  tags:
  - Embeddings
  - Retrieval
  - Semantic Search
  - Text Similarity
  properties:
  - type: Documentation
    url: https://ai.google.dev/gemini-api/docs/embeddings
- name: Gemini Live API
  description: Low-latency real-time voice and video interactions with Gemini using WebSockets for streaming multimodal input
    and output.
  humanURL: https://ai.google.dev/gemini-api/docs/live
  baseURL: https://generativelanguage.googleapis.com
  tags:
  - Multi-Modal
  - Real-Time
  - Streaming
  - Video
  - Voice
  - WebSocket
  tags_raw:
  - Multimodal
  - Real-Time
  - Streaming
  - Video
  - Voice
  - WebSockets
  properties:
  - type: Documentation
    url: https://ai.google.dev/gemini-api/docs/live
- name: Gemini Context Caching API
  description: Cache input tokens for repeated use across multiple requests to reduce costs and improve latency for large
    context workloads.
  humanURL: https://ai.google.dev/gemini-api/docs/caching
  baseURL: https://generativelanguage.googleapis.com
  tags:
  - Caching
  - Cost Optimization
  - Performance
  properties:
  - type: Documentation
    url: https://ai.google.dev/gemini-api/docs/caching
  - type: APIReference
    url: https://ai.google.dev/api/caching
- name: Gemini Fine-Tuning API
  description: Customize Gemini model behavior for specific tasks using supervised fine-tuning with your own training data.
  humanURL: https://ai.google.dev/gemini-api/docs/model-tuning
  baseURL: https://generativelanguage.googleapis.com
  tags:
  - Fine-Tuning
  - Model Customization
  - Supervised Learning
  properties:
  - type: Documentation
    url: https://ai.google.dev/gemini-api/docs/model-tuning
  - type: APIReference
    url: https://ai.google.dev/api/tuning
- name: Gemini Interactions API
  description: Unified interface for interacting with Gemini models and agents providing a consistent way to manage multi-turn
    conversations and tool use.
  humanURL: https://ai.google.dev/gemini-api/docs/interactions
  baseURL: https://generativelanguage.googleapis.com
  tags:
  - Agents
  - Interactions
  - Multi-Turn
  - Tool Use
  properties:
  - type: Documentation
    url: https://ai.google.dev/gemini-api/docs/interactions
- name: Vertex AI Gemini API
  description: Enterprise-grade access to Gemini models through Google Cloud Vertex AI with advanced features including grounding,
    safety filters, and regional endpoints.
  humanURL: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/model-reference/inference
  baseURL: https://aiplatform.googleapis.com
  tags:
  - Enterprise
  - Generative AI
  - Google Cloud
  - Vertex AI
  properties:
  - type: Documentation
    url: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/model-reference/inference
  - type: APIReference
    url: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/reference/rest
  - type: GettingStarted
    url: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/start/quickstart
  - type: OpenAI Compatibility
    url: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/start/openai
  - type: Models
    url: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/models
  - type: ReleaseNotes
    url: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/release-notes
  - type: Pricing
    url: https://cloud.google.com/vertex-ai/pricing
- name: Vertex AI Imagen API
  description: Generate and edit images using Google Imagen models on Vertex AI for high-quality image creation from text
    prompts.
  humanURL: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/image/overview
  baseURL: https://aiplatform.googleapis.com
  tags:
  - Google Cloud
  - Image Generation
  - Imagen
  tags_raw:
  - Google Cloud
  - Image Generation
  - Imagen
  - Text-To-Image
  - Image-Generation
  - Text-to-Image
  properties:
  - type: Documentation
    url: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/image/overview
  - type: APIReference
    url: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/model-reference/imagen-api
- name: Vertex AI Gemini Live API
  description: Enterprise real-time multimodal streaming API on Vertex AI for building low-latency voice and video AI agents.
  humanURL: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/live-api
  baseURL: https://aiplatform.googleapis.com
  tags:
  - Enterprise
  - Real-Time
  - Streaming
  - Vertex AI
  - Video
  - Voice
  properties:
  - type: Documentation
    url: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/live-api
  - type: APIReference
    url: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/model-reference/multimodal-live
- name: Vertex AI Text Embeddings API
  description: Generate text embeddings for semantic search and classification tasks using Google embedding models on Vertex
    AI.
  humanURL: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings
  baseURL: https://aiplatform.googleapis.com
  tags:
  - Embeddings
  - Semantic Search
  - Text Similarity
  - Vertex AI
  properties:
  - type: Documentation
    url: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings
  - type: APIReference
    url: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/model-reference/text-embeddings-api
- name: Firebase AI Logic API
  description: Access Gemini API capabilities through Firebase SDKs for mobile and web applications with built-in security
    and authentication.
  humanURL: https://firebase.google.com/docs/ai-logic
  baseURL: https://firebaseml.googleapis.com
  tags:
  - Client-Side
  - Firebase
  - Mobile
  - Web
  properties:
  - type: Documentation
    url: https://firebase.google.com/docs/ai-logic
  - type: GettingStarted
    url: https://firebase.google.com/docs/ai-logic/get-started
  - type: Models
    url: https://firebase.google.com/docs/ai-logic/models
- aid: google-gemini:google-gemini-content-generation-api
  name: Google Gemini Content Generation API
  description: Generate content using Gemini models with text, image, audio, and video inputs. Supports multimodal prompts,
    function calling, structured output, and configurable safety settings.
  humanURL: https://ai.google.dev/
  baseURL: https://generativelanguage.googleapis.com
  tags:
  - Content Generation
  properties:
  - type: OpenAPI
    url: openapi/google-gemini-content-generation-api-openapi.yml
  - type: Documentation
    url: https://ai.google.dev/docs
  - type: AsyncAPI
    url: asyncapi/google-gemini-asyncapi.yml
  - type: JSONSchema
    url: json-schema/google-gemini-generate-content-schema.json
  - type: JSONLDContext
    url: json-ld/google-gemini-context.jsonld
  - type: GettingStarted
    url: https://ai.google.dev/tutorials/get_started_web
  - type: API Keys
    url: https://aistudio.google.com/app/apikey
  - type: Pricing
    url: https://ai.google.dev/pricing
  - type: RateLimits
    url: https://ai.google.dev/docs/rate_limits
  - type: Models
    url: https://ai.google.dev/models
  - type: APIReference
    url: https://ai.google.dev/api
  - type: GettingStarted
    url: https://ai.google.dev/gemini-api/docs/quickstart
  - type: ChangeLog
    url: https://ai.google.dev/gemini-api/docs/changelog
  - type: SDKs
    url: https://ai.google.dev/gemini-api/docs/libraries
  - type: OpenAI Compatibility
    url: https://ai.google.dev/gemini-api/docs/openai
  - type: Safety Settings
    url: https://ai.google.dev/gemini-api/docs/safety-settings
  - type: Structured Output
    url: https://ai.google.dev/gemini-api/docs/structured-output
  - type: Token Counting
    url: https://ai.google.dev/gemini-api/docs/tokens
- aid: google-gemini:google-gemini-embeddings-api
  name: Google Gemini Embeddings API
  description: Generate text embedding vectors for semantic search, classification, clustering, and retrieval tasks using
    Gemini embedding models.
  humanURL: https://ai.google.dev/
  baseURL: https://generativelanguage.googleapis.com
  tags:
  - Embeddings
  properties:
  - type: OpenAPI
    url: openapi/google-gemini-embeddings-api-openapi.yml
  - type: Documentation
    url: https://ai.google.dev/docs
  - type: AsyncAPI
    url: asyncapi/google-gemini-asyncapi.yml
  - type: JSONSchema
    url: json-schema/google-gemini-generate-content-schema.json
  - type: JSONLDContext
    url: json-ld/google-gemini-context.jsonld
  - type: GettingStarted
    url: https://ai.google.dev/tutorials/get_started_web
  - type: API Keys
    url: https://aistudio.google.com/app/apikey
  - type: Pricing
    url: https://ai.google.dev/pricing
  - type: RateLimits
    url: https://ai.google.dev/docs/rate_limits
  - type: Models
    url: https://ai.google.dev/models
  - type: APIReference
    url: https://ai.google.dev/api
  - type: GettingStarted
    url: https://ai.google.dev/gemini-api/docs/quickstart
  - type: ChangeLog
    url: https://ai.google.dev/gemini-api/docs/changelog
  - type: SDKs
    url: https://ai.google.dev/gemini-api/docs/libraries
  - type: OpenAI Compatibility
    url: https://ai.google.dev/gemini-api/docs/openai
  - type: Safety Settings
    url: https://ai.google.dev/gemini-api/docs/safety-settings
  - type: Structured Output
    url: https://ai.google.dev/gemini-api/docs/structured-output
  - type: Token Counting
    url: https://ai.google.dev/gemini-api/docs/tokens
- name: Gemini Python SDK
  description: Python client library for the Gemini API.
  humanURL: https://ai.google.dev/api/python
  baseURL: https://pypi.org/project/google-generativeai/
  tags:
  - Client Library
  - Python
  - SDK
  tags_raw:
  - Client Library
  - Python
  - Sdk
  properties:
  - type: Documentation
    url: https://ai.google.dev/api/python/google/generativeai
  - type: GitHub
    url: https://github.com/google/generative-ai-python
  - type: Installation
    url: https://pypi.org/project/google-generativeai/
  - type: GitHub
    url: https://github.com/googleapis/python-genai
  - type: Installation
    url: https://pypi.org/project/google-genai/
- name: Gemini Node.js SDK
  description: Node.js client library for the Gemini API.
  humanURL: https://ai.google.dev/api/node
  baseURL: https://www.npmjs.com/package/@google/generative-ai
  tags:
  - Client Library
  - JavaScript
  - Node.js
  - SDK
  - TypeScript
  tags_raw:
  - Client Library
  - Javascript
  - Nodejs
  - Sdk
  - Typescript
  properties:
  - type: Documentation
    url: https://ai.google.dev/api/node
  - type: GitHub
    url: https://github.com/google/generative-ai-js
  - type: Installation
    url: https://www.npmjs.com/package/@google/generative-ai
  - type: GitHub
    url: https://github.com/googleapis/js-genai
  - type: Installation
    url: https://www.npmjs.com/package/@google/genai
- name: Gemini Go SDK
  description: Go client library for the Gemini API, providing an interface for developers to integrate Google generative
    models into Go applications.
  humanURL: https://ai.google.dev/gemini-api/docs/libraries
  baseURL: https://pkg.go.dev/google.golang.org/genai
  tags:
  - Client Library
  - Go
  - Golang
  - SDK
  tags_raw:
  - Client Library
  - Go
  - Golang
  - Sdk
  properties:
  - type: Documentation
    url: https://pkg.go.dev/google.golang.org/genai
  - type: GitHub
    url: https://github.com/googleapis/go-genai
  - type: Installation
    url: https://pkg.go.dev/google.golang.org/genai
- name: Gemini Java SDK
  description: Java client library for the Gemini API, providing an interface for developers to integrate Google generative
    models into Java applications.
  humanURL: https://ai.google.dev/gemini-api/docs/libraries
  baseURL: https://central.sonatype.com/artifact/com.google.genai/google-genai
  tags:
  - Client Library
  - Java
  - SDK
  tags_raw:
  - Client Library
  - Java
  - Sdk
  properties:
  - type: Documentation
    url: https://ai.google.dev/gemini-api/docs/libraries
  - type: GitHub
    url: https://github.com/googleapis/java-genai
  - type: Installation
    url: https://central.sonatype.com/artifact/com.google.genai/google-genai
- name: Gemini C# SDK
  description: C# client library for the Gemini API, providing an interface for developers to integrate Google generative
    models into .NET applications.
  humanURL: https://ai.google.dev/gemini-api/docs/libraries
  baseURL: https://www.nuget.org/packages/Google.GenAI
  tags:
  - Client Library
  - C#
  - .NET
  - SDK
  tags_raw:
  - Client Library
  - Csharp
  - Dotnet
  - Sdk
  properties:
  - type: Documentation
    url: https://googleapis.github.io/dotnet-genai/
  - type: GitHub
    url: https://github.com/googleapis/dotnet-genai
  - type: Installation
    url: https://www.nuget.org/packages/Google.GenAI
common:
- type: Pricing
  url: https://cloud.google.com/products/gemini-enterprise-agent-platform/pricing
- type: RateLimits
  url: rate-limits/google-gemini-rate-limits.yml
- type: FinOps
  url: finops/google-gemini-finops.yml
- type: Plans
  url: plans/google-gemini-plans-pricing.yml
- type: CapabilityMap
  url: capabilities/google-gemini-capability-edges.yml
  name: Google Gemini Business Capability Map
- type: Website
  url: https://google.dev
- type: AgenticAccess
  url: agentic-access/google-gemini-agentic-access.yml
- type: DomainSecurity
  url: security/google-gemini-domain-security.yml
- type: Authentication
  url: authentication/google-gemini-authentication.yml
- type: TermsOfService
  url: https://ai.google.dev/terms
- type: PrivacyPolicy
  url: https://policies.google.com/privacy
- type: StatusPage
  url: https://status.cloud.google.com/
- type: Support
  url: https://ai.google.dev/docs/support
- type: Blog
  url: https://developers.googleblog.com/
- type: GitHubOrganization
  url: https://github.com/google-gemini
- type: Discord
  url: https://discord.gg/google-dev
- type: Forums
  url: https://discuss.ai.google.dev/
- type: Cookbook
  url: https://github.com/google-gemini/cookbook
- type: Google AI Studio
  url: https://aistudio.google.com/
- type: Safety Guidance
  url: https://ai.google.dev/gemini-api/docs/safety-guidance
- type: Vertex AI Studio
  url: https://cloud.google.com/generative-ai-studio
- type: Google Cloud Documentation
  url: https://docs.cloud.google.com/vertex-ai/generative-ai/docs
- name: Agent Skills
  url: https://github.com/google-gemini/gemini-skills
  type: AgentSkills
- type: Website
  url: https://ai.google.dev/gemini-api
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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/google-gemini"

All providers

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

Every operation they expose

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

How their score was established

curl "https://apis.io/api/v1/providers/google-gemini/evidence"

Discovery needs no key. Ratings and market analysis are Pro.

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