[Why Kaito Open-Sourced Aura] @KaitoAI @KaitoStudio_ Even if someone on X says, “I’m confident in this trade,” it’s hard to know whether they’ve actually put money on the line. This is the information gap Kaito aims to close with Aura. It seeks to connect what people say on social media with their actual on-chain activities into a single, verifiable record. Aura is Kaito’s reputation system. It links the influence built on X with verifiable trading activity to present and evaluate a user’s full history. Kaito introduces Aura as a feature that assesses verified trading behavior and assigns value to real-world actions. Users can connect their accounts on the Aura page to review their history; accumulated metrics over the past 48 hours may be recalculated. For example, imagine someone who frequently posts predictions on Polymarket. You can see how widely their posts are shared through X reactions—but whether they actually took positions is separate information. Kaito Pulse displays connected trading data alongside X posts, while Aura uses these activities as components of reputation. Aura Arc maps relationships between connected activities across multiple services and social accounts in a graph format. Service connections are user-selectable, and the scope of publicly available data varies by partnered apps. In short: Pulse shows activity history directly on social feeds; Aura treats that history as reputation; and Aura Arc attempts to extend this relationship model to other services. Kaito has committed to offering Aura Arc for free and enabling its use by external products. This decision to make it free may be strategically calculated: the more widely such shared data on who has built trust in which domains is adopted, the greater the demand will become to identify suitable individuals or execute collaborations. Studio helps brands select creators and manage contracts and payments; Katalyst links campaign outcomes—such as clicks, sign-ups, and deposits—to rewards. For Kaito’s Jumper campaign introduced on October 22, 2,065 creator applications were received, 69 were contracted, and they generated over 760,000 impressions across 119 posts. This demonstrates Kaito’s ability to mobilize people and run campaigns. However, Aura also faces challenges. Verifying trading records is only the beginning. If users only connect successful accounts while hiding losing ones, individual records may be authentic—but overall reputation becomes distorted. A person skilled in trading isn’t necessarily skilled in technical analysis or security research. Ultimately, the ability to distinguish between who is famous and what someone has actually accomplished in specific domains is essential. If such domain-specific reputations genuinely improve corporate decision-making, InfoFi’s scope could expand significantly. Key metrics to watch include: the rate at which brands rehire creators, the number of new customers acquired through campaigns, the diversity of activities connected by Aura, and whether data selection bias decreases over time. Kaito’s next competitive edge will lie not in measuring how much attention people receive, but in proving that the histories behind that attention serve as credible foundations for real-world decisions. #Kaito #Aura #InfoFi