---
title: "Generative AI API"
url: "https://docs.unified.to/genai/overview"
description: "API reference for Generative AI API. Launch multiple pre-built Generative AI integrations today with zero maintenance — all through a single API."
generated_at: "2026-06-26T21:08:54.221Z"
---
# Generative AI API

The Unified Generative AI API enables developers and product managers to access AI capabilities from multiple platforms through a single, standardized interface. Work with AI models, generate embeddings, and manage prompts across OpenAI, Anthropic, Google AI, and other major AI platforms - all with one API.

## [What is the Unified Generative AI API?](#what-is-the-unified-generative-ai-api)

AI platforms like OpenAI, Anthropic, and Google AI each have unique APIs with different authentication methods and data models. The Unified Generative AI API normalizes these differences, allowing you to build once and support all major AI platforms without maintaining separate integrations.

## [Generative AI Data Objects](#generative-ai-data-objects)

The Generative AI API provides access to the following standardized objects:

* **Embeddings**: Text embeddings and vector representations
* **Models**: AI models, capabilities, and model information
* **Prompts**: Prompt templates, configurations, and prompt management

## [Common Use Cases](#common-use-cases)

### [Multi-Model AI Applications](#multi-model-ai-applications)

Build AI applications that work with multiple AI providers. Switch between OpenAI, Anthropic, or other models without rewriting integration code, enabling fallback strategies and cost optimization.

### [AI Model Comparison](#ai-model-comparison)

Create tools that compare outputs from different AI models. Test the same prompt across multiple providers to evaluate quality, cost, and performance.

### [Embedding Generation](#embedding-generation)

Generate text embeddings using different AI platforms. Build vector search, semantic similarity, or RAG (Retrieval Augmented Generation) applications that work with any embedding provider.

### [Prompt Management Tools](#prompt-management-tools)

Develop prompt management and testing tools that work across AI platforms. Store, version, and test prompts with different models to optimize AI application performance.

### [AI Cost Optimization](#ai-cost-optimization)

Build tools that route AI requests to different providers based on cost, availability, or performance. Implement intelligent load balancing across multiple AI platforms.

[![Run In Postman](https://run.pstmn.io/button.svg)](https://god.gw.postman.com/run-collection/16228585-55c9c20f-5abd-4ef9-b409-ae6ac13c2814?action=collection%2Ffork&source=rip%5Fmarkdown&collection-url=entityId%3D16228585-55c9c20f-5abd-4ef9-b409-ae6ac13c2814%26entityType%3Dcollection%26workspaceId%3D0a62ef4e-9382-41f4-8a59-44c03de1e0d5)

## [Data Model](#data-model)

GENAI data model

SVG fallback viewer

[Open SVG](/images/models/UnifiedGenai.svg)

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[How to Use Unified.to's Generative AI API with OpenAI and Claude](/guides/how%5Fto%5Fuse%5Funified%5Fgenerative%5Fai%5Fapi%5Fwith%5Fopenai%5Fand%5Fclaude "How to Use Unified.to's Generative AI API with OpenAI and Claude")