Build and manage AI infrastructure with fully documented REST/GraphQL endpoints and SDKs.
API ReferenceDeploy machine learning models as scalable REST endpoints with auto-scaling and versioning.
Orchestrate data preprocessing, transformation, and model training workflows through API triggers.
Get low-latency predictions from deployed models with guaranteed SLAs for mission-critical applications.
Leverage the official Python library for rapid development with full type hints and async support.
pip install eiseniiaaaaia-ml
from eiseniiaaaaia import MLClient
client = MLClient("API_KEY")
Use our browser and Node.js compatible SDK for building web applications and ML interfaces.
import { MLClient } from '@eiseniiaaaaia/ml-sdk'
const client = new MLClient(process.env.API_KEY)
Generate an API token from the Developer Portal under your project settings.
Include your API token as a Bearer authorization in requests or use the SDKs for simplified authentication.
curl -X GET "https://api.eiseniiaaaaia.com/model/list" \ -H "Authorization: Bearer YOUR_API_TOKEN"
Use the interactive API explorer at /api/v1/explorer to try endpoints directly in your browser.