We are excited to work together with Masa, the leading decentralized AI data network. Talus and Masa will integrate the Masa Data Oracle, allowing developers on Talus to be able to use real-time, structured public web and social for their AI agents.

Importance of Data for AI Agents

Talus is creating the AI Smart Agent Hub, where smart agents can live, interact, and transact onchain. Using the Move programming language, developers will be able to easily create highly performant smart agents that can fulfill the most demanding use cases.

In order to train these agents for their desired tasks, developers will need access to large amounts of data that is specific to the tasks. AI agents leverage data to provide specialized, tailored experiences for the end user. This is also essential for reading user behavioral patterns and coming up with useful recommendations on the next course of action.

This data is readily available online, but the problem is that this data is not in a format that is easily digestible and usable by machines. Therefore, the data needs to be curated for agents to digest and make meaningful decisions. This involves several data processing steps:

1. Data Collection: procuring the data from various sources, such as Twitter and Discord

2. Data Preparation: Cleaning of the data to mitigate biases and errors

3. Data Transformation: Converting data into vector embeddings for model training and fine-tuning

Masa’s AI Data Oracle: Curated Data for AI Agent Training and Fine-Tuning

This is where Masa comes in. Masa allows users to train hyper-personalized AI models and agents from a variety of data sources, including social data, gated web data, and public search data. The Masa Data Oracle enables real-time data access which is scraped, structured and annotated for immediate use by AI Applications. Developers on Talus can leverage this data infrastructure to build powerful agentic applications.

Here’s how it works:

1. User on Talus plugs into Masa API to set up a node

2. User sets up a query for social media data (Twitter followers, likes, etc.)

3. User feeds that data into models hosted on Talus to train for particular use case

4. User deploys AI smart  agent on Talus with that model

5. AI Agent performs work based on the data that it was provided

Looking Ahead

Together, Masa and Talus are providing robust data infrastructure for deploying high-utility and specialized AI agents. Data processing will enable developers to access machine-ready data much more efficiently, making it much easier to train and fine-tune AI agents for any use case. This will accelerate the development of more innovative applications within the agentic economy and create meaningful value for end users.

About Talus

Talus is building the universal execution engine for AI Smart Agents.

We are creating a decentralized protocol where individuals can freely exchange data, models, and computational power to make AI transparent and verifiable. By leveraging the security, performance, and developer experience of Move, Talus is the foundation of the Smart Agent Revolution and a new era of consumer AI.

To learn more about Talus, follow us on Twitter, check out our GitHub, visit our Discord, and read our Mirror.

About Masa AI

Masa is a decentralized AI network, where people earn by contributing data. AI developers can build anything, anywhere with the world’s data. Masa is backed by DCG, Anagram, Animoca, and incubated by Binance and Hashkey. Masa was the first AI project debuted on CoinList in 2024, where we had a record-breaking, 17-minute token sale. Join Masa’s mission to create Fair AI, powered by the people.

To learn more about Masa, follow them on Twitter, check out their Github, join their Discord, or visit their website.