Powerful Integrations

Connect NexusAI to your existing stack. Extend capabilities with SDKs, APIs, and native tool support.

🔍
🐍
Stable

Python SDK

Native Python library for rapid ML integration. Supports async operations, batch processing, and streaming.

Stable

Node.js SDK

TypeScript-first SDK for JavaScript ecosystems. Perfect for serverless functions and real-time web apps.

🔌
Stable

REST API

Comprehensive RESTful API for all NexusAI features. Rate limited, authenticated, and fully documented.

🪝
Stable

Webhooks

Receive real-time events for model training, predictions, and alerts. Configurable endpoints with retry logic.

💬
Stable

Slack Integration

Connect your workspace to get alerts, run quick predictions, and deploy models directly from Slack.

📋
Beta

Jira Cloud

Automate ML workflows based on Jira triggers. Update tickets with model performance and predictions.

☁️
New

Salesforce

Enrich CRM data with AI insights. Lead scoring, churn prediction, and automated follow-up suggestions.

🏗️
Stable

Terraform Provider

Infrastructure as Code for NexusAI. Manage models, endpoints, and permissions via Terraform configs.

Developer First Experience

Get up and running in minutes with our intuitive SDKs. Full type safety, comprehensive error handling, and zero-config defaults.

Read the Docs →
python
import nexusai # Initialize client with env vars client = nexusai.Client() # Generate prediction response = client.predict( model="nexus-v3-ultra", input="Analyze sentiment...", stream=True ) for chunk in response: print(chunk.text, end="")

Real-Time Event Streaming

Configure webhooks to trigger actions in your systems when specific events occur in the NexusAI platform.

⚙️
Event Trigger
🚀
NexusAI Engine
📨
Your Endpoint
Action Executed
Configure Webhooks →
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