The company brands this stack as InfoFi: measure attention, rank narratives, and help route distribution and fundraising—not only run a generic chatbot. In this guide, you’ll see how Kaito AI’s product line fits together, including MetaSearch, sentiment and smart alert tooling, dashboards, token and narrative mindshare, catalyst calendars, audio and API services, capital launchpad products, and the KAITO token’s economics and risks. The product line has evolved since the 2022–2023 search-terminal phase; social reward design changed again in early 2026 after X restricted InfoFi-style post-to-earn apps.
Source: Kaito Website
Takeaways
- Kaito started as an AI Web3 research terminal (Portal / Pro) and expanded into mindshare rankings, creator distribution, APIs, and a Capital Launchpad.
- KAITO launched around February 2025 on Base. Max supply is 1 billion; a large share remains under vesting into later years, so unlocks matter for float.
- Yaps (pay-to-post / yap-to-earn leaderboards) was sunset in January 2026 after X API policy changes. Creator flow shifted toward Kaito Studio and campaign-style distribution rather than open posting rewards.
- Insights are only as good as sources and models. Sentiment tools do not guarantee price forecasts.
- Competitive set is broader than The Graph: research terminals, social analytics, launchpads, and attention markets—not only blockchain indexing.
History of Vocaloid Kaito
Kaito was founded in 2022 by Yu Hu (CEO; former Citadel quant background is widely cited). The early thesis was crypto information overload: data scattered across social feeds, forums, research, and governance.
Public funding is often summarized at about $10.5–10.8 million across early rounds. Notable backers reported in coverage include Dragonfly, Sequoia (China / related entities in secondary write-ups), Jane Street, Mirana, Folius, and others. A Series A in June 2023 is commonly tied to an $87.5 million valuation (led in reports by Superscrypt / Spartan). Exact round labels and dates vary slightly by database—use company announcements when precision matters.
From 2024 into 2025 the story moved from “AI search” to InfoFi: Yaps social mining, KAITO TGE/airdrop on Base, launchpad-style capital products, and enterprise/API usage. In January 2026, after X limited apps that reward users for posting, Kaito shut incentivized Yaps leaderboards and pushed curated Studio workflows instead.
How Does Kaito AI Work? Portal Functionalities
Source: Kaito Website
Source: Kaito Website
MetaSearch queries a large set of Web3 sources and packages results around tickers, topics, and narratives. It is built for speed and coverage—not for replacing primary filings or on-chain verification.
Sentiment Tracking
Source: Kaito Website
Sentiment tools estimate how discussion tone shifts across monitored sources. That can help map narrative risk and crowd mood. It does not produce reliable, deterministic price predictions.
Smart Alerts
Source: Kaito Website
Users can set alerts on projects, keywords, events, or sentiment moves so research is event-driven instead of manual refresh-only.
Customized Dashboards
Source: Kaito Website
Dashboards combine mindshare, sentiment, screeners, calendars, and related widgets into one workspace so teams track a custom universe.
Token and Narrative Mindshare
Source: Kaito Website
Token mindshare estimates relative attention on assets over time. Narrative mindshare tracks themes (for example AI, RWA, L2s) and is also used to track emerging trends in the cryptocurrency market through shifts in crypto attention. Kaito reports online conversation share of crypto at 64%, using that signal as relative attention rather than valuation. Rankings are useful for distribution and campaign design; they are not fundamental valuation by themselves.
Catalyst Calendar
Source: Kaito Website
A calendar of events and catalysts across a large token set supports planning. Always cross-check dates with official project channels.
Audio Library and Vocaloid Engine Vocals
Source: Kaito Website
Audio and transcript-style access (including summaries) is aimed at consuming long-form industry content faster.
Main Product Lines
Kaito Portal / Pro
Source: Kaito website
The research terminal: search, track, and analyze tickers and narratives across many sources. This remains the core “AI information” product for funds, researchers, and operators.
Kaito Yap → Studio (status update)
Source: Yapper Leaderboard
Yaps rewarded crypto discussion and ranked “yappers.” That open incentive loop was discontinued in January 2026 after platform API policy pressure and spam quality issues. Kaito’s newer creator surface is Kaito Studio (curated campaigns / marketplace-style distribution). Mindshare-style rankings may still inform other products, but “farm Yaps for points” guides are outdated.
Kaito API
Source: Kaito website
APIs expose indexed knowledge and mindshare-style datasets for teams, research shops, exchanges, and applications that need programmatic access. Kaito also partners with Primus Labs for browser-based verification, helping prove online activity as part of its verification stack.
Beyond the terminal, Kaito has run merit-oriented allocation / launchpad flows where staking, reputation, or campaign participation can affect access—distinct from pure first-come public sales. Details and eligibility change by sale; read each deal’s rules.
What is the KAITO Token and Kaito Pulse?
KAITO is the network/token layer on Base (ERC-20; verify the official contract before any transfer). Common public figures:
| Item |
Detail |
| Max supply |
1,000,000,000 |
| TGE / claim era |
February 2025 |
| Circulating (market snapshots) |
Often ~24% of max in mid/late 2026 reads |
| Utility (as described) |
Staking (e.g. sKAITO), governance, product allocation priority, premium access in some tiers |
| Vesting |
Large team/backer/ecosystem tranches unlock over time (into ~2029 in public schedules) |
Allocation buckets in official-style breakdowns typically include ecosystem & network growth, core contributors, foundation, community claim, early backers, creator incentives, liquidity, and exchange-related allocations (for example Binance HODLer in published tables). Treat secondary price and FDV figures as snapshots only.
Risk Analysis
Advantages
- Aggregates many Web3 information surfaces in one research workflow.
- AI packaging can cut manual monitoring time for desks that already know how to verify sources.
- Alerts, mindshare, and calendars support narrative and event-driven process.
- Token and launchpad products attempt to link attention data to distribution and capital—whether that loop stays healthy depends on spam controls and platform rules.
Disadvantages
- Model output inherits bias, bots, and false claims in source data.
- Premium pricing and complexity can be steep for casual users; live plan prices change—do not rely on old “0.25 ETH/month” quotes without checking the site.
- Social incentive designs can attract low-quality content; Yaps’ shutdown is the case study.
- Token unlocks and InfoFi regulation/platform policy are ongoing risks.
Challenges
- Crowded AI-research and social-analytics field.
- Dependence on third-party platforms (especially X) for social firehose access.
- Scaling data quality as AI-generated spam rises.
- Keeping token utility tied to real product demand, not only narrative.
Competitive Analysis
|
Kaito |
The Graph |
| Core job |
AI research, mindshare, distribution/InfoFi |
Decentralized indexing/query layer for dApp data |
| Users |
Investors, researchers, marketers, some builders |
Primarily developers and index consumers |
| Data focus |
Social + research + narrative analytics |
On-chain structured data via subgraphs |
| Decentralization |
Product company + token governance layer |
Protocol with node/indexer economics |
They overlap only loosely. Kaito competes more with crypto terminals, social intel tools, and launch/distribution platforms than with pure blockchain indexers.
Summary
Kaito AI packages Web3 information overload into a terminal and expanded into InfoFi-style attention and capital products. KAITO ties staking and governance to that stack, but product rules—especially social rewards—have already changed under platform pressure. Use the tools for research speed; verify critical facts on primary sources, and size any KAITO exposure for unlock and policy risk.
FAQ
What is Kaito AI?
An AI crypto information platform focused on search, sentiment/mindshare, alerts, and related distribution products.
What is KAITO?
The Base token used for staking, governance, and access/allocation features inside Kaito’s product set.
Does Yaps still pay for posting?
No. Incentivized Yaps leaderboards were sunset in January 2026. Creator activity moved toward Studio-style campaigns.
Can Kaito predict prices?
No. It organizes information and attention metrics. Trading outcomes still depend on markets, liquidity, and risk management.
No. The Graph indexes blockchain data for apps. Kaito is closer to an AI research and attention-distribution stack.
