List Your Data on ai.market
vectorAIz runs on your infrastructure, processes your data locally with AI, and publishes listings to the marketplace. Your raw data never leaves your servers — only metadata is shared. Delivery happens peer-to-peer through secure tokens.
How it works
Install vectorAIz
Download and run the installer. vectorAIz runs as a Docker container on your machine — nothing is sent anywhere.
Prepare with allAI
allAI, your local AI assistant, profiles your data, detects PII, scores quality, and generates listing metadata — all on your machine.
Publish Your Listing
Review what allAI prepared and publish to ai.market with one click. Only metadata and descriptions are shared — raw data stays with you.
Deliver Securely
When a buyer purchases, ai.market generates a secure, time-limited token. Data flows peer-to-peer from your vectorAIz instance — no middleman.
Install vectorAIz
One command. Runs locally in Docker. Free to use.
Mac & Linux
macOS (Apple Silicon & Intel) and any modern Linux distribution
curl -fsSL https://get.vectoraiz.com | bashRequires Docker Desktop or OrbStack
Windows
Windows 10 and 11 with PowerShell
irm https://get.vectoraiz.com/windows | iexRequires Docker Desktop for Windows and PowerShell 5.1+
What you get
Local-First Processing
Your data never leaves your infrastructure. All profiling, PII detection, and quality scoring happens on your machine.
AI-Assisted Listings
allAI helps describe your data, generate metadata, and optimize your listing for discovery by buyers and AI agents.
Automated PII Detection
Sensitive data is flagged before publishing. Protect your customers and stay compliant automatically.
Quality Scoring
Every dataset is scored for completeness, consistency, and freshness so buyers know what they are getting.
Peer-to-Peer Delivery
No middleman. Buyers connect directly to your instance through secure, time-limited access tokens.
5% Marketplace Fee
Utility pricing. We make money when you make money. No listing fees, no hidden charges.
System requirements
Docker
Docker Desktop, OrbStack, or Docker Engine
8 GB RAM
16 GB recommended
10 GB Disk
For Docker images and data