The creation and use of synthetic price data has traditionally been dominated by opaque, well-funded entities such as large financial institutions, centralized technology firms, and regulatory agencies, including JPMorgan Chase, Goldman Sachs, the Federal Reserve, and PayPal. The closed-source nature of these datasets stems from the self-serving priorities of these organizations, which often lack the incentive to democratize data access. This approach exacerbates disparities, creating a wider gap between everyday users and those with greater resources.

In the whitepaper linked below, we demonstrate that it is possible to generate useful synthetic data in a decentralized manner, using the Bittensor ecosystem and land the use case in DeFi Agents. We argue that a synthetic data layer will become a crucial step for DeFi to reach mass adoption, through autonomous and evolving AI Agents.

Synth is a pioneering subnet on the Bittensor network, designed to provide high-fidelity synthetic price data for the emerging agentic economy. By addressing the limitations of real-world datasets, Synth creates a robust foundation for AI-driven decision-making, transforming DeFi workflows and expanding into new industries.

This whitepaper explores Synth’s architecture, capabilities, and vision to establish a comprehensive data layer for predictive intelligence in DeFi and beyond.

Read the full whitepaper here: Synth Subnet Whitepaper

Check out our complete guide on how to setup your first model.

In the guide linked below, we break things down into three key areas:

1. Explaining the Scoring System: What’s the methodology behind how submissions are evaluated?

2. Tutorial for Miners: How to set up and submit Bitcoin price predictions using a simple Geometric Brownian Motion (GBM) model.

3. Sandboxed Competition Results: A look at how miners using similar models, like GBM, perform against each other.

Complete Guide here: How To Build A Simple Model and Start Earning TAO

Mode is building Full Stack DeFAI, the L2 scaling DeFi to billions of users through AI agents and AI-driven financial applications. Bolstered by a $6 million grant from Optimism, Mode continues to push for an open, efficient, and inclusive financial future on the Superchain.

Website: mode.network

Forum: forum.mode.network

Community TG Groups: Join our Telegram groups

The creation and use of synthetic price data has traditionally been dominated by opaque, well-funded entities such as large financial institutions, centralized technology firms, and regulatory agencies, including JPMorgan Chase, Goldman Sachs, the Federal Reserve, and PayPal. The closed-source nature of these datasets stems from the self-serving priorities of these organizations, which often lack the incentive to democratize data access. This approach exacerbates disparities, creating a wider gap between everyday users and those with greater resources.

In the whitepaper linked below, we demonstrate that it is possible to generate useful synthetic data in a decentralized manner, using the Bittensor ecosystem and land the use case in DeFi Agents. We argue that a synthetic data layer will become a crucial step for DeFi to reach mass adoption, through autonomous and evolving AI Agents.

Synth is a pioneering subnet on the Bittensor network, designed to provide high-fidelity synthetic price data for the emerging agentic economy. By addressing the limitations of real-world datasets, Synth creates a robust foundation for AI-driven decision-making, transforming DeFi workflows and expanding into new industries.

This whitepaper explores Synth’s architecture, capabilities, and vision to establish a comprehensive data layer for predictive intelligence in DeFi and beyond.

Read the full whitepaper here: Synth Subnet Whitepaper

Check out our complete guide on how to setup your first model.

In the guide linked below, we break things down into three key areas:

1. Explaining the Scoring System: What’s the methodology behind how submissions are evaluated?

2. Tutorial for Miners: How to set up and submit Bitcoin price predictions using a simple Geometric Brownian Motion (GBM) model.

3. Sandboxed Competition Results: A look at how miners using similar models, like GBM, perform against each other.

Complete Guide here: How To Build A Simple Model and Start Earning TAO

Mode is building Full Stack DeFAI, the L2 scaling DeFi to billions of users through AI agents and AI-driven financial applications. Bolstered by a $6 million grant from Optimism, Mode continues to push for an open, efficient, and inclusive financial future on the Superchain.

Website: mode.network

Forum: forum.mode.network

Community TG Groups: Join our Telegram groups