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Kaito After YAPS: How X Killed Crypto's First Attention Economy — and What Rose From Its Ashes

· 10 min read
Dora Noda
Dora Noda
Software Engineer

On January 15, 2026, Kaito's founder Yu Hu told a community of 157,000 "Yappers" that the product that minted them — YAPS, crypto's most ambitious attention-to-earn experiment — was being sunset. Within hours the KAITO token fell 17% to roughly $0.57, the Yapper community account was banned from X, and the entire InfoFi category caught fire on the way down. The cause was not a hack, a regulatory action, or a tokenomics unwind. It was a single API policy update from Elon Musk's X.

Three months later, in April 2026, Kaito is not dead. It is, in fact, arguably in a stronger strategic position than it was at the peak of YAPS — now partnered with Polymarket on a new category of "attention markets" that turn mindshare into a prediction-market asset class. But the journey from "Yap-to-Earn" leaderboard to institutional mindshare oracle is also a cautionary tale about what happens when you build a meritocratic influence economy on top of somebody else's platform.

The Original YAPS Thesis: Influence Without Follower Count​

Before the January shutdown, YAPS was one of the cleanest pitches in crypto. Follower counts are gameable — anyone can buy 100,000 bots — and retweets measure virality, not insight. Kaito's bet was that AI could score the information value of a post instead: did it surface genuine alpha, did it move markets, did the people who read it actually trade?

Under the hood YAPS ingested more than 200 million crypto-adjacent posts daily across X, Telegram, and Farcaster. Its LLM-based pipeline combined four signals:

  • Posting cadence — consistency over spam.
  • Engagement quality — who engages, not how many.
  • Semantic originality — plagiarism detection against the existing crypto corpus.
  • Downstream behavioral impact — did readers convert attention into action?

Project-specific leaderboards let protocols reward the top 50 "Yappers" and top 50 "Emerging Yappers" for a topic each week, with $5,000 in sKAITO split across the two tiers. It was simultaneously an influence scoreboard, a marketing spend category, and a pre-token airdrop targeting mechanism. At its peak, the KAITO airdrop snapshot in February 2025 produced one of the most-watched Base-native claim events of the year.

And the numbers worked. Kaito Pro's institutional subscriptions reportedly generated around $33 million in annual revenue, and the InfoFi category — prediction markets, Yap-to-Earn, attention markets, reputation markets, and paid content — reached a combined market cap of roughly $649 million before the X crackdown.

The Policy Shock That Unwound It​

The problem with meritocratic influence markets is that they live on somebody else's feed. For Kaito, that somebody was X.

In mid-January 2026, X revised its developer policies to ban applications that pay users to post, explicitly targeting what the platform called the "InfoFi" category. The stated reason was a surge in AI-generated spam — users prompting ChatGPT and Claude to produce yield-optimized crypto takes, flooding timelines with low-quality engagement bait designed to farm Yaps rather than inform readers.

X revoked API access for the affected apps and banned the 157,000-member Kaito Yapper community account. Cookie DAO, another InfoFi project, crashed 20% the same day. The "Kaito sunset" was not a choice; it was the only option left once programmatic access to X disappeared.

There is a real irony here. The spam X was punishing was a predictable second-order effect of YAPS' own success. Once a scoring model is public and the rewards are liquid, rational actors will optimize the score. AI-generated slop was not a flaw in the YAPS thesis — it was a demonstration of it. Attention economies, like financial markets, are efficient markets for whatever signal they happen to price.

The Pivot: From Yappers to Studio and Markets​

Kaito's response was not to rebuild YAPS on Farcaster or a decentralized alternative. Instead, the team split the original product into two cleaner bets.

Kaito Studio replaces the permissionless Yap-to-Earn model with a tier-based creator marketing platform — selective brand-creator partnerships, cross-platform analytics that span YouTube and TikTok as well as X, and structured campaigns rather than open leaderboards. This is, bluntly, a more traditional influencer-marketing SaaS product, just with better data underneath. It is less narratively exciting than "anyone can earn by yapping," but it is also not vulnerable to being single-handedly killed by an API change.

Kaito Markets, launched in partnership with Polymarket in March 2026, is the more interesting bet. Here the mindshare score is no longer a reward mechanism — it is an asset. Traders on Polymarket can now wager on questions like "Will Anthropic's mindshare be higher than OpenAI next month?" or "Will sentiment on a given brand rise by quarter-end?" Kaito's AI quantifies the social data; Polymarket's prediction infrastructure prices the claim.

Two pilot markets launched in November 2025 had already accumulated meaningful volume: "How high will Polymarket's mindshare go by March 31, 2026?" drew over $1.3 million in wagers on its own. Polymarket plans dozens of attention markets in early March 2026, expanding to hundreds by year-end, starting with AI topics and moving into entertainment and world events.

The pivot also broadens Kaito's data moat. Where YAPS' value was tied to X's API goodwill, Markets and Studio explicitly draw from X, TikTok, Instagram, and YouTube. A future platform-level API crackdown would hurt, but it would no longer be existential.

What This Reveals About Attention as an Asset Class​

Zoom out and the Kaito episode is less about one project than about a structural question the whole InfoFi category has been dodging: can attention be a permissionless asset class, or is it always custodied by the platforms that produce the underlying data?

The YAPS era answered the first version of that question optimistically. Build an AI scorer, publish a leaderboard, tokenize the output, and the attention economy becomes a measurable and investable surface. The pivot answers the second version more soberly. Attention data can be aggregated across multiple platforms; attention incentives that flow back into a single platform will always live at that platform's discretion.

Two contrasts sharpen the point:

  • Polymarket-Kaito attention markets price attention as an output — traders bet on what mindshare will be, without paying users to generate it. Platforms tolerate this because it does not alter their posting economy.
  • Yap-to-Earn priced attention as an input — users got paid to post, which bent the platform's own content distribution toward reward-farming behavior. Platforms ultimately will not tolerate this at scale.

The implication is that the durable InfoFi primitives are probably going to look more like Bloomberg-terminal-style data layers and prediction markets than like engagement mining. Kaito's $33 million in institutional ARR, built on paid analytics to hedge funds and protocols, is plausibly the more defensible half of the business even if it is the less Twitter-native half.

The Comparisons Now Matter More​

In the YAPS era, the obvious comparisons were Play-to-Earn's tokenomic collapse and Bloomberg's $24K/year information monopoly. Post-pivot, the more relevant comparisons are different.

Against Zora's attention markets on Solana, which tokenize viral moments as mintable assets for direct trading, Kaito occupies the oracle-and-index layer: the data that defines what is viral, rather than the asset that represents it. The two could become complements rather than competitors.

Against Polymarket's broader prediction-market expansion, Kaito is effectively the attention-topic index provider — a role that looks structurally similar to how MSCI or S&P index providers power the ETF universe in traditional finance.

Against Farcaster's Frames commerce and other native crypto social economies, Kaito has chosen not to play on-chain-social at the posting layer at all. Its bet is that the data and the markets sit above any single platform, whether centralized like X or decentralized like Farcaster.

What Builders Should Take Away​

Three lessons transfer cleanly to other projects trying to build in the attention or information economy:

  1. Platform risk is product risk. If your token's value depends on another company's API terms, that dependency belongs in the risk section of your pitch deck, not a footnote. Kaito survived a policy shock because its revenue base was never purely reward-driven; teams that built single-product Yap-to-Earn clones did not.
  2. Rewarding creation and measuring creation are different businesses. The first is an incentive layer that platforms see as parasitic. The second is a data layer that platforms see as inert. One of them scales past a policy change; the other does not.
  3. Spam is a signal, not a bug. If your scoring model can be gamed by AI-generated content, assume it will be — and design for adversarial conditions from day one rather than treating filtering as a phase-two problem.

For protocol teams paying attention — many of whom built go-to-market motions around YAPS leaderboards — the post-YAPS world still has usable surfaces. Kaito Studio's selective campaigns fit project launches. Polymarket attention markets give you a hedging and sentiment-tracking primitive that did not exist before. What is gone is the low-cost airdrop-farming channel that made YAPS so attractive in the first place.

The Quieter Story Underneath​

It is tempting to read the YAPS shutdown as a story of crypto hubris meeting platform reality. That is partly true, but it underrates what Kaito actually accomplished. Before YAPS, there was no public, AI-scored measurement of crypto mindshare that protocols, traders, and researchers could agree to use. After YAPS — even in its deprecated form — that measurement exists, and it is now being priced by Polymarket, consumed by institutional subscribers, and referenced across the 2026 InfoFi conversation.

The product that proved attention could be scored did not need to be the product that scaled. The April 2026 Kaito looks less like the permissionless Twitter-native reward engine it set out to build and more like a data infrastructure company with a prediction-market distribution partner. That is a less romantic business. It is also a much harder one to turn off with a policy update.

BlockEden.xyz provides reliable RPC and indexing infrastructure across 27+ chains for teams building data-driven Web3 products — from attention oracles to prediction markets to institutional analytics. Explore our API marketplace to build on infrastructure that is not one policy change away from going dark.

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