Kaito Yaps — Tokenized Attention
Since the birth of the digital economy, people have been eager to measure attention.
Brands are willing to pay for attention — or mindshare — as part of top-of-the-funnel user acquisition.
Creators want to prove their influence.
Users want to contextualize popularity and follow emerging trends.
However, attention has historically been incredibly difficult to quantify.
Surface-level metrics such as likes and impressions are increasingly botted and fail to capture real impact.
Qualitative metrics, on the other hand, are subjective and lack a universally accepted benchmark.
To address this challenge, Kaito has developed an algorithm-driven approach to tokenize attention, transforming it into a permissionless building block for open innovation.
Yaps as Proof-of-Attention — AI-powered tokenized attention
Yaps utilizes advanced AI algorithms to extract and interpret rich signals (such as social graphs and semantics understanding) to quantify attention:
Proof-of-Work — Volume of subject-relevant content
Proof-of-Exchange — Real, reputation-weighted engagement
Proof-of-Insight — Insightful, original & focused discussions
What Yaps Unlocks
Creators
Creators use their aggregated Yaps as a better Proof-of-Influence (than number of followers and total impressions) Creators use their daily Yaps as a better feedback loop (than engagements and impressions) for real, high quality attention
Users
Consumers use Yaps for high quality content and creator discovery
Brands
Brands use Yaps for high quality content and creator discovery
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