Steppingblocks does not represent our data with a single fixed accuracy percentage. Instead, we focus on providing data we have high confidence in through a multi-step validation process.
Our approach includes validation at the point of data collection, machine learning modeling, automated quality and recency checks, anomaly detection, human audits, and ongoing testing. A key principle of the platform is that if we are not confident in a data point, we do not display it.