How Does Kaito Work?
Kaito is an AI-powered crypto information platform (InfoFi) that tokenizes social media attention through its Yaps points system and provides institutional-grade analytics via Kaito Pro. With $10.8M in venture funding, 200K users, and $32M reported annual revenue, it operates as a SaaS business with a token layer. Its B- grade reflects the novelty of attention tokenization mechanisms, early-stage track record since its February 2025 token launch, and centralized control over the AI algorithms that determine reward distribution. The closed-source platform creates opacity around how attention scores are computed and rewards allocated.
TVL
$24M
Sector
DeFi
Risk Grade
B-
Value Grade
C-
Core Mechanisms
2.1.3
Kaito Pro subscription-based premium access for institutional and retail analytics
Standard SaaS subscription model applied to crypto analytics. $32M annual revenue reported.
4.1.1
sKAITO staking with 7-day cooldown on Base chain for governance power and reward multipliers
Standard lock-and-receive-receipt-token staking pattern (sKAITO). 7-day unstaking cooldown period.
5.1.1
KAITO governance via on-chain voting with sKAITO for proposals on products, algorithms, and token utilities
Standard token-weighted governance. Long-term stakers receive voting multipliers.
1.2.1
KAITO cliff-and-linear vesting across contributor, ecosystem, and backer allocations through 2029
Standard vesting schedule. 25% core contributors, 32.2% ecosystem, 8.3% early backers, 10% foundation, 10% community.
2.2.1
NovelKaito attention tokenization via Yaps points system converting social media content quality into token rewards
Novel: AI-scored attention/content quality mapped to token rewards. No 3+ year production precedent for this specific pattern. Sybil resistance relies on proprietary AI rather than on-chain mechanisms.
2.2.4
NovelKaito alignment signals allowing sKAITO holders to allocate stake to specific projects for visibility and reward sharing
Novel: Staked token allocation to influence leaderboard rankings and earn project-specific rewards. Combines staking with attention-market dynamics in untested configuration.
How the Pieces Interact
Concentration of staked KAITO could allow whales to manipulate project visibility rankings on Yapper leaderboard, creating pay-to-play dynamics that undermine the InfoFi attention market's credibility.
AI-scored attention rewards create Sybil farming incentives where users generate low-quality content at scale to extract token rewards, potentially diluting the quality signal the system aims to capture.
Large vesting unlock events (1.8% of supply monthly) coinciding with 7-day unstaking cooldowns could create liquidity mismatches where stakers cannot exit positions fast enough during sell pressure from insiders.
Voting power multipliers for long-term stakers could concentrate governance control among early participants and insiders, potentially enabling parameter changes that benefit large holders at the expense of smaller participants.
Projects could acquire or borrow large sKAITO positions to boost their own leaderboard rankings and secure launchpad placement, creating a feedback loop where capital rather than genuine attention determines project visibility.
What Could Go Wrong
- Kaito's InfoFi attention tokenization (Yaps system) is a novel mechanism with limited production history, creating untested edge cases around Sybil resistance and attention market manipulation.
- Only 24% of KAITO supply is circulating with significant insider allocations (25% core contributors, 8.3% early backers) vesting through 2029, creating sustained sell pressure at each unlock event.
- The platform is closed-source with centralized AI algorithms determining attention scores and reward distribution, meaning the team can unilaterally change scoring parameters without on-chain governance enforcement.
- Revenue distribution and fee mechanisms are team-discretionary rather than enforced on-chain, so current staking rewards could be modified or discontinued without token holder approval.
Yaps Attention Market Sybil Collapse
ModerateTrigger: Sybil farming operations capture >30% of Yaps rewards over a 30-day period, causing legitimate creators to abandon the platform as reward quality degrades.
- 1.Sophisticated Sybil networks develop AI-generated content that scores well on Kaito's Yaps algorithm, extracting disproportionate token rewards. — Legitimate content creators see declining rewards per post, reducing their incentive to participate in the Yaps program.
- 2.Creator exodus accelerates as reward dilution makes Yaps participation uneconomical for genuine analysts and commentators. — Quality of Kaito's content index degrades, reducing the value proposition of Kaito Pro subscriptions and the InfoFi network's credibility.
- 3.Kaito Pro subscription revenue declines as institutional users find diminishing value in AI-curated content contaminated by farming output. — Revenue decline removes the fundamental value driver for KAITO token, reducing staking rewards and triggering sKAITO unstaking.
- 4.Mass sKAITO unstaking (7-day cooldown) creates a queue of sell pressure that depresses KAITO price below levels sustainable for the attention economy. — KAITO token price decline further reduces Yaps reward value in dollar terms, completing the negative feedback loop and collapsing the attention market.
Risk Profile at a Glance
Overall: B- (35/100)
Lower score = safer