Getting Started

EigenAI gives you access to state-of-the-art language, vision, image, and audio models through an OpenAI-compatible API — and lets you fine-tune and deploy your own models on the same infrastructure.

Quickstart

Make your first API call in three steps.

Get an API key

Go to API Keys in the EigenAI dashboard and create a key.

Choose a model

Browse the Model Library and copy the model ID you want to use.

Make a request

Call the Chat Completions endpoint:

curl -X POST https://api-web.eigenai.com/api/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "YOUR_MODEL_ID",
    "messages": [
      {"role": "user", "content": "Hello!"}
    ]
  }'

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api-web.eigenai.com/api/v1"
)

response = client.chat.completions.create(
    model="YOUR_MODEL_ID",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)

What do you want to do?

Call a model

Use the OpenAI-compatible API to run chat, vision, image generation, video, and audio models.

Fine-tune a model

Train a base model on your own dataset using SFT, Image Editing, or RL.

Deploy a model

Provision a dedicated GPU endpoint for any supported or fine-tuned model.

Generate training data

Use the EigenData CLI to generate, modify, and analyze structured datasets.

Base URL

Eigen AI

API Reference

Platform

Products

Quickstart

What do you want to do?

Call a model

Fine-tune a model

Deploy a model

Generate training data

​Quickstart

​What do you want to do?

Call a model

Fine-tune a model

Deploy a model

Generate training data

Quickstart

What do you want to do?