Truflation and Scannit Partner to Boost Data Transparency and Economic Insights

Truflation, a real-time decentralized economic data company, announces its collaboration with Scannit, a user-owned data monetization platform. This collaboration is expected to boost Truf Network as it combines the data obtained from Scannit’s users, which provides a transparent picture of the current economic state.

Scannit’s Data to Strengthen Truflation’s Analysis

The partnership aims to enhance the Truf Network, which already tracks over 20 million items through partnerships with more than 80 data providers. Using Scannit’s legal and consensual user data, Truflation will provide more accurate, real-time information to businesses, researchers, and analysts. The operation will enhance the current data feeds and users’ autonomy by enabling them to sell their data while still being able to make decisions about its usage.

Truflation’s commitment to democratizing access to critical financial information is further solidified by bringing data on-chain. The company has consistently worked to make data more transparent and verifiable, contributing to smarter decision-making across the economic landscape. With over 782 data feeds, including commodities like US Wheat, oil, and lithium, Truflation continues to expand its ecosystem of valuable, real-time economic metrics.

A Joint Vision for Data Empowerment

The companies aim to reshape how data is valued, accessed, and utilized. By empowering users to control and monetize their data, Scannit aligns with Truflation’s mission of making financial information more accessible and beneficial. The partnership reflects a mutual belief that data should be transparent and directly advantageous to those who generate it.

This collaboration marks the beginning of a larger initiative to grow a thriving data ecosystem where economic insights are increasingly accurate, real-time, and accessible. Truflation’s decentralized data infrastructure and Scannit’s user-controlled data will help reshape how businesses and individuals approach financial decision-making.