kaito-yaps-primary-sources-2026-05-11

Kaito Yaps primary sources

Collected: 2026-05-11 UTC

Primary sources reviewed

• https://docs.kaito.ai/what-is-kaito.md
  • Official overview
  • Used to confirm the product split between Kaito Pro, Kaito Yaps, and Kaito Connect and to anchor Yaps as one layer inside a broader InfoFi stack
• https://docs.kaito.ai/kaito-yaps-tokenized-attention.md
  • Official Yaps overview
  • Used to confirm the project’s framing of Yaps as AI-powered tokenized attention and the three scoring branches: Proof-of-Work, Proof-of-Exchange, and Proof-of-Insight
• https://docs.kaito.ai/kaito-yaps-tokenized-attention/yaps-open-protocol.md
  • Official Yaps Open Protocol page
  • Used to confirm that Yaps data is exposed through a public API and onchain through EAS on Base, with scores tied to X usernames rather than directly to wallet addresses
• https://docs.kaito.ai/kaito-connect-infofi-network.md
  • Official Kaito Connect overview
  • Used to confirm the three-pillar architecture connecting Yaps, Yapper Leaderboards, and Yapper Launchpad into one attention-and-capital-routing network
• https://docs.kaito.ai/kaito-connect-infofi-network/yapper-leaderboard.md
  • Official leaderboard docs
  • Used to confirm the public ranking surface for creator contribution, discovery, and performance attribution around a brand or topic
• https://docs.kaito.ai/kaito-connect-infofi-network/yapper-launchpad.md
  • Official launchpad docs
  • Used to confirm the market-design claim that attention distribution should be determined by market forces rather than by a centralized operator
• https://docs.kaito.ai/attention-economy.md
  • Official narrative page
  • Used to confirm the underlying thesis that attention, not content production, is the scarce economic resource Kaito wants to measure and redirect

Notes

• Kaito Yaps cleared the bar because it is not just another creator leaderboard or social-analytics dashboard; it separates attention scoring, public ranking, API export, onchain attestation, and market-based launch prioritization into distinct layers.
• The core mechanism is Kaito’s attempt to turn “mindshare” into an application primitive. Instead of relying on likes, impressions, or follower counts, the docs emphasize richer AI-derived signals and decompose them into Proof-of-Work, Proof-of-Exchange, and Proof-of-Insight.
• Yaps Open Protocol is analytically the most important page because it makes the score legible as infrastructure, not only as a hosted product feature. Public API access and EAS-on-Base publication create downstream reuse surfaces for reward programs, SocialFi apps, and reputation-aware applications.
• The leaderboard and launchpad pages show that Kaito is not only measuring attention; it is also creating coordination markets around that measurement. Leaderboards decide who becomes visible and attributable for a given brand or topic, while Launchpad decides which brands get the next attention-allocation surface.
• That means the practical control plane is split across several layers: model design for scoring, topic / brand framing, leaderboard visibility, launchpad market participation, API access, and the offchain-to-onchain mapping that publishes scores without directly linking them to wallet addresses.
• This entry belongs in the active corpus because it gives the contributor-legibility and identity/reputation clusters a live example of attention scoring becoming an allocative primitive for rewards, discovery, and capital-routing rather than staying a mere analytics metric.