Gemini
Google's Gemini API provides access to state-of-the-art generative AI models for text generation, multimodal understanding, code generation, and more.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Gemini the way a machine reads it — 50 machine-readable artifacts across 20 APIs, 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 — Gemini scores 52.3/100 (developing), with a separate agent-readiness read of 48/100 (agent ready). 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 Gemini
Each block below is one kind of artifact we hold for Gemini. 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.
APIs 20
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
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
C# client library for the Gemini API, providing an interface for developers to integrate Google generative models into .NET applications.
Gemini Live API
Low-latency bidirectional streaming API enabling real-time voice and video interactions with Gemini models over WebSocket connections.
Gemini Interactions API
A single unified endpoint for Gemini models and agents with server-side state, background execution, tool combination, and multimodal generation. Now generally available, it is ...
Gemini Image Generation API
Image generation capabilities through the Gemini API, supporting text-to-image generation, image editing, and multi-turn conversational editing.
Gemini Video Generation API
Video generation capabilities through the Gemini API powered by Veo, supporting text-to-video and image-to-video generation in resolutions up to 4K.
Gemini Text-to-Speech API
Native audio generation text-to-speech capabilities through the Gemini API, supporting single and multi-speaker speech synthesis with natural language control over style, accent...
Gemini Files API
API for uploading and managing media files for use with Gemini models, supporting images, audio, video, and documents up to 2 GB per file with 20 GB per project storage.
Gemini Embeddings API
Text embedding capabilities through the Gemini API, generating vector representations for semantic search, classification, clustering, and retrieval augmented generation (RAG) a...
Gemini Batch API
Asynchronous batch processing API for submitting large volumes of Gemini API requests at 50 percent of the standard cost, with support for content generation, embeddings, and Op...
Gemini Deep Research API
Agentic research capability powered by the Interactions API that autonomously plans, executes, and synthesizes multi-step research tasks using web search and URL context to prod...
Gemini Exchange API
REST and WebSocket APIs for the Gemini cryptocurrency exchange, providing market data, order management, account balances, clearing, earn/staking, and institutional capital acco...
Gemini Embeddings API
Create embeddings for text
Gemini Files API
Upload and manage files used as model input
Gemini Generation API
Generate content from prompts
Gemini Models API
List and inspect available Gemini models
Gemini Utility API
Token counting and other helpers
Scroll within the panel for all 20 ·
Open Collections 1
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Google Gemini API
OPEN COLLECTIONGraphQL 1
Where a provider ships GraphQL, the schema is the contract. We profile it alongside the REST surface so the whole interface is legible in one place.
GraphQL schemas published by this provider.
Gemini Exchange GraphQL Schema
This document describes a conceptual GraphQL schema for the [Gemini Exchange](https://gemini.com) cryptocurrency exchange API. Gemini is a regulated cryptocurrency exchange offe...
GRAPHQLPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Gemini Plans Pricing
PLANSRate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Gemini Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Gemini Finops
FINOPSFeatures 11
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
Multimodal Understanding
Process and understand text, images, audio, video, and documents in a single model.
Function Calling
Define custom functions that Gemini can invoke to interact with external systems and APIs.
Structured Output
Generate JSON responses conforming to specified schemas for reliable data extraction.
Context Caching
Cache large context windows to reduce latency and cost for repeated queries.
Code Execution
Execute Python code in a sandboxed environment for computational tasks.
Grounding with Google Search
Ground model responses with real-time Google Search results for factual accuracy.
Live Streaming API
Real-time bidirectional voice and video interactions over WebSocket connections.
Image and Video Generation
Generate images and videos from text prompts using Gemini and Veo models.
Text-to-Speech
Native audio generation with multi-speaker support and natural language style control.
Deep Research
Autonomous multi-step research agent that synthesizes cited reports from web sources.
Thinking Mode
Extended reasoning capability for complex problem-solving and analysis tasks.
Scroll within the panel for all 11 ·
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.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 6
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
What developers build with this provider.
AI-Powered Chatbots
Build conversational AI assistants with multimodal understanding and function calling.
Document Processing
Extract structured data from documents, PDFs, and images using vision capabilities.
Content Generation
Generate text, images, and video content with AI for marketing and creative workflows.
Code Generation
Generate, explain, and debug code across multiple programming languages.
Semantic Search
Build search systems using Gemini embeddings for semantic similarity matching.
Real-Time Translation
Translate text and audio in real-time using multimodal capabilities.
Integrations 5
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
Pre-built integrations with other platforms and tools.
Google Cloud Vertex AI
Access Gemini models through Vertex AI for enterprise-grade deployment and management.
Google AI Studio
Prototype and test Gemini API calls with the web-based development environment.
LangChain
Use Gemini as a provider in LangChain for building AI application pipelines.
Firebase
Integrate Gemini with Firebase for mobile and web app AI features.
OpenAI Compatibility
Use Gemini through OpenAI-compatible API endpoints for easy migration.
Resources
Every other property we hold for Gemini — 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.
Get Started 2
Portal, sign-up, and the first successful call
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 3
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
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/gemini · machine-readable index on apis.io