Google AI Studio API Documentation

This is the complete API documentation for connecting to the Google AI Studio API using MindCloud's Universal API. If you are new to MindCloud, start with the Introduction to see how one API can sit in front of many different apps.

MindCloud is an integration company that offers one normalized API to access 3,100+ apps from a single place. It cleans up provider-specific quirks, keeps requests and responses consistent, and centralizes authentication so you do not need to manage separate flows for every app. Browse other apps.

Meet Google AI Studio: Generate multimodal content, embeddings, files, and batch jobs. Keep reading to get started.

Quickstart

Before you run your first Google AI Studio request, you need three things:

1. A MindCloud account — sign in or create an account at MindCloud.
2. A MindCloud API Key — create one in API Keys. Keep it on your server.
3. At least one Google AI Studio connection — create or choose one in Connections. Note its connectionId.

Every Google AI Studio action uses the same URL pattern:

POST https://connect.mindcloud.co/v2/universal/apps/googleAIStudio/actions/{actionSlug}/run

You need a MindCloud API Key and a Google AI Studio connection. Then call an action such as List Models:

curl --request POST \
  --url "https://connect.mindcloud.co/v2/universal/apps/googleAIStudio/actions/list-models/run" \
  --header "Authorization: Bearer $MINDCLOUD_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "connectionId": "$CONNECTION_ID",
  "arguments": {}
}'

Every response comes back in the same envelope, with your rows in a data array:

{
  "success": true,
  "data": [
    { "id": "1042", "name": "Ava" }
  ],
  "meta": {}
}

After your first request works, use Shape your requests to control arguments, pagination, filtering, fields, and errors.

Authenticate with a MindCloud API Key plus a connectionId for your Google AI Studio account. See Google AI Studio API Authentication for the full flow and how to get your connection credentials.

Google AI Studio actions

All 18 published actions for this Google AI Studio version. Each page documents the endpoint, arguments, and response controls.

• PUTCancel Batch
• GETCount Tokens
• POSTCreate Cached Content
• DELETEDelete Batch
• DELETEDelete Cached Content
• DELETEDelete File
• POSTEmbed Content
• POSTGenerate Content
• GETGet Batch
• GETGet Cached Content
• GETGet File
• GETGet Model
• GETList Batches
• GETList Cached Contents
• GETList Files
• GETList Models
• POSTStream Generate Content
• PUTUpdate Cached Content

Related apps

More Artificial Intelligence apps on the Universal API, behind the same REST shape. Or browse all apps.

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