Masa (Subnet 42): Bittensor’s Real-Time Data Layer for AI Agents

Masa (Subnet 42)

Kite AI has announced a partnership with decentralized data network Masa (Subnet 42), aimed at giving autonomous AI agents direct access to live social and web datasets.

The collaboration allows agents on Kite AI to autonomously query, process, and act on over 400 million public data records supplied through Masa’s scraping APIs. All interactions are governed by smart contracts, enabling traceability, compliance, and verifiable provenance of data usage.

By integrating Masa (Subnet 42), Kite AI agents can run workflows such as real-time monitoring, public sentiment analysis, and autonomous decision-making, while ensuring that data rights and compliance requirements are respected. The system also enables protocol-native payments, creating a pathway for developers to monetize agent-driven processes.

Subnet 42 serves as a real-time data layer built for AI applications, delivering vast quantities of structured, high-quality data from social platforms to power autonomous agents. This infrastructure addresses critical limitations of centralized APIs—mainly cost, rate limiting, and trust boundaries.

According to the [Chainwire press release], Subnet 42 processes nearly 20 billion data points daily, including data from platforms like Twitter, Discord, Telegram, YouTube, podcasts, and indexed websites. The system uses time-series and vectorized databases optimized for machine learning workflows. CryptoSlate

Trusted Execution Environments (TEE) are embedded into Subnet 42 to ensure secure and verifiable data handling. This ensures contribution integrity while maintaining participant anonymity.

“This partnership demonstrates how AI agents can combine scalable data access with decentralized governance and transparent accountability,” Kite AI said in a statement.

How Masa (Subnet 42) Works

The move highlights Masa (Subnet 42 )’s growing push in the Web3 AI sector to combine decentralized data markets with programmable AI execution environments, with use cases spanning public data collection, identity-verifiable workflows, and new monetization models for developers.

Subnet 42 is at the core of Masa’s Real-Time Data Layer, enabling autonomous agents built on other subnets to act with up-to-the-minute context. These agents use Subnet 42 data to fetch live social trends, sentiment signals, or event context that inform decision-making. Messari Medium Masa’s Agent Arena (Subnet 59) taps into Subnet 42’s data streams to penalize or reward agents based on real engagement outcomes, fostering a dynamic, evolving AI ecosystem.

Subscribe to receive The Tao daily content in your inbox.

We don’t spam! Read our privacy policy for more info.

Be the first to comment

Leave a Reply

Your email address will not be published.


*