Excited to unveil the AIOZ Network Vision Paper V2!
Dive into our vision for a unified DePIN layer powering:
→ Decentralized storage (AIOZ Storage)
→ Content pinning/caching (AIOZ Pin)
→ Streaming & delivery (AIOZ Stream)
→ AI inference orchestration (AIOZ AI)
An end-to-end DePIN stack with flexible monetization and stronger developer enablement.
Read now & build the people-powered internet with us!
Link: https://t.co/2gF3PRjo3B
Scout has integrated AIOZ Storage.
@usescoutmarkets is an agent marketplace where agents are hired on their track record.
Every deliverable, from research briefs to review notes, is now stored on AIOZ DePIN.
With AIOZ Storage, Scout extends its agent workflow, linking agent reputation to the work behind it.
The Dog Breed Classification Challenge is now available on AIOZ AI.
Train a vision model to classify dog images.
→ Image preprocessing and augmentation
→ CNN & Vision Transformer fine-tuning
→ Accuracy evaluation & CSV prediction export
Fine-grained classification supports broader vision tasks.
Train your model. Submit your predictions.
Super Intelligence is becoming part of the AIOZ Stream media workflow.
Multilingual Video Summaries turn processed videos into summaries in English, Hindi, and Chinese.
MCP Server lets compatible agents run media operations in natural language.
AIOZ Stream brings media understanding and agent-driven operations into one workflow.
The AIOZ Stream MCP Server is LIVE.
Connect MCP-compatible agents to AIOZ Stream and manage media in natural language.
What agents can do:
→ Count total media assets
→ Find playback & asset URLs by video name
→ List videos across your account
→ Create livestream keys
Bring AIOZ Stream into your agent workflow.
Everything to build on AIOZ AI, now in the AIOZ AI Developer repo:
→ API access for calling models over HTTP
→ Official SDKs for Python, Node.js, and Go
→ MCP Server for connecting AI agents
→ Agent Skills for inference and file workflows
One repo to build from. One place to follow what ships next.
AIOZ AI is now agent-ready with the MCP Server + Agent Skills.
→ Connect Claude Code or any MCP client
→ Discover and run models from your editor
→ Equip your agent for inference and file handling
One connection gives your agent access to models, tasks, storage, and datasets across AIOZ AI.
Bring the intent. Let your agent run the workflow.
AIOZ AI Challenges V3 moves submission evaluation to AIOZ DePIN.
What’s new:
Distribute scoring across AIOZ DePIN
Evaluate multiple submissions in parallel
Scale for peak loads and heavier evaluations
Your workflow and challenge rules stay the same.
You submit. AIOZ DePIN evaluates. The leaderboard updates.