What is KAITO (KAITO)?

By CMC AI
24 September 2025 07:06AM (UTC+0)

TLDR

KAITO is an AI-powered information finance (InfoFi) network designed to organize crypto intelligence and redistribute attention/value across Web3 ecosystems.

  1. Solves information overload by aggregating fragmented crypto data through AI-curated search and analytics

  2. Tokenizes attention via Yaps Program, rewarding quality content creation and curation

  3. Governs via $KAITO – powers transactions, voting, and ecosystem incentives

Deep Dive

1. Purpose & Value Proposition

KAITO addresses crypto’s information chaos by indexing 10,000+ sources – social media, research papers, governance forums, and podcasts – then applying natural language processing and semantic analysis (Kaito AI docs). Its flagship product Kaito Pro serves as a Bloomberg Terminal-like interface for crypto, used by 500+ institutional teams to track market sentiment, emerging narratives, and project fundamentals.

2. Technology & Architecture

The platform combines:
- Knowledge graphs mapping relationships between projects, influencers, and trends
- Proprietary search algorithms prioritizing recency, authority, and cross-platform validation
- Yaps Protocol quantifying social impact via on-chain/off-chain activity metrics

This infrastructure supports Kaito Connect, a decentralized network where attention (measured via content engagement) directly influences capital allocation to projects.

3. Tokenomics & Governance

$KAITO functions as:
- Payment currency for premium analytics and API access
- Governance tool voting on protocol upgrades/feature prioritization
- Reward mechanism distributing 72.3M+ tokens to date (Dune Analytics) through:
- Staking yields (11% APY)
- Yaps Program converting social clout to tokens
- Buyback programs funded by 20% of platform revenue

Conclusion

KAITO positions itself as crypto’s information layer – using AI to filter noise while aligning incentives between creators, curators, and consumers through tokenized participation. As Web3’s data complexity grows, can its architecture sustainably scale while maintaining signal quality?

CMC AI can make mistakes. Not financial advice.