The Current State of InfoFi

The InfoFi segment experienced a rapid rise, faced spam accusations, and strict measures from the social media platform X. Projects promising to monetize information encountered a crisis, leading to a collapse in their tokens. However, the narrative of InfoFi's "death" may be premature. ForkLog investigated what really happened in the sector and how it might return.

From Niche Concept to Distinct Category

InfoFi is an approach that transforms information into a tradable financial asset. Blockchain ensures transparency in data provenance, while tokenization assigns market value to it. Unlike traditional finance, where information merely aids decision-making, here the signal itself becomes an asset: social media engagement, analytical reports, prediction results, and even the author's reputation can be tokenized.

The underlying logic is straightforward: the crypto market is driven by narratives, research, and timing, but the bulk of revenue from these streams traditionally goes to platforms, insider chats, exchanges, and large accounts with distribution power. InfoFi was conceived as a redistribution mechanism: the reward goes to those who generate useful signals, not to those who own them.

The Kaito team articulated the thesis even more sharply: attention is a scarce resource currently allocated by opaque algorithms. If it can be made measurable and tradable, capital will automatically flow towards quality content.

Components of the Sector

In its mature form, InfoFi relies on several building blocks. The first is tokenized data: engagement, author reputation, and prediction results stored on-chain and transferable between protocols. The second is prediction markets, which serve as price oracles for real-world events. The third is AI agents that aggregate disparate signals into structured indexes.

It is the combination of "data + market + artificial intelligence" that distinguishes InfoFi from traditional social tokens and paid subscriptions. Information ceases to be a byproduct and becomes a primary asset with a clear demand curve.

Conflict with X

In January, X updated its rules and banned applications that pay users for posts, mentions, or other activities on the platform. Among those affected were Kaito, Cookie DAO, Loudio, and several other services that built Post-to-Earn models on X.

The formal reason was a post from X's product head, Nikita Bier, who stated that financial incentives for publications distort the feed and clutter the platform with low-quality content. Following his statement, the accounts of key InfoFi projects were restricted, and API integrations were revoked.

We are revising our developer API policies:

We will no longer allow apps that reward users for posting on X (aka “infofi”). This has led to a tremendous amount of AI slop & reply spam on the platform.

We have revoked API access from these apps, so your X experience should…

— Nikita Bier (@nikitabier) January 15, 2026
 

The community's reaction was unexpectedly restrained. Some authors agreed with the complaints: the gamification of attention indeed spawned a wave of template threads and similar "analytical" posts. Others pointed out that the issue of low-quality content existed long before InfoFi—YouTube, TikTok, and Instagram embraced clickbait without any crypto incentives. Platforms design behavior through reward economics and then express surprise at the results.

The main takeaway was that X closed the period when influence on the social network could be earned in a measurable and transparent way, albeit imperfectly. For InfoFi projects, this meant one thing: relying on a single centralized platform is a strategically fragile model.

January Token Crash

The consequences were reflected in prices. In January, key tokens in the sector lost about 20% in a short period. KAITO, COOKIE, DAO Maker, and related assets fell simultaneously as the market reassessed the risks of dependence on X's infrastructure.

Analysts termed this a moment of innovate or die. Investors began to differentiate between teams capable of building autonomous value around information curation and those whose products relied solely on a single social network's API. Projects with diversified data sources—Farcaster, on-chain activity, prediction markets—suffered less.

Notably, by spring, KAITO had partially recovered and was trading around $0.5, while DAO Maker saw a growth of over 35% in certain weeks. The sector did not experience a complete "erasure"—rather, it underwent a painful but inevitable contraction.

Why Claims of InfoFi's Death Are Premature

The claim that "InfoFi is dead" is loud but poorly describes reality. The underlying problem remains: the crypto market is still driven by narratives, and the value of information continues to reside with platforms and insiders, not with those who produce it.

What is changing is not the idea but its implementation. The first wave of InfoFi was experimental and often boiled down to the "financialization of tweets." The second wave focuses on more fundamental tasks: source verification, on-chain reputation, data aggregation through AI, and integration with prediction markets. The hype-driven aspect is fading, while the practical side remains.

A telling example is prediction markets. By early 2026, Polymarket, Kalshi, and similar platforms had effectively transformed into rapid financial data feeds—contract prices reflect events before traditional media can publish. Analysts describe this as turning prediction platforms into a "truth machine" for macroeconomics, politics, and corporate events.

This is no longer about earning from posts but about an infrastructural layer that hedge funds, media, and algorithmic traders connect to. Formally, such platforms are part of InfoFi, but their business model does not depend on X's goodwill.

Where the Segment is Heading

The current state of InfoFi can be described by three processes.

  1. Decoupling from centralized social networks. Teams are migrating to Farcaster, Lens, and their own on-chain infrastructures. Farcaster, with its protocol model, has become a natural refuge—there is no single owner who can shut down a project with one post.
  2. Shifting focus from quantitative metrics to qualitative ones. Mindshare and Yap-to-Earn models are giving way to systems where reputation accumulates over years and is validated by prediction results rather than posting volume. AI agents help filter out bots and template content.
  3. Consolidation around a few working scenarios: prediction markets as a data source, on-chain analytics with tokenized reputation, and AI sentiment indexes for DeFi strategies. Other directions either integrate into these three or exit the market.

What This Means for Participants

For authors and analysts, InfoFi remains a way to monetize signals directly, but without the expectation of quick payouts for activity. Sustainable income now requires a verifiable track record.

For investors, this is a sector with high dispersion: winners and losers are determined by the team's ability to operate independently of individual platform policies. KAITO remains a benchmark but is no longer the only bet.

For the industry, the story of InfoFi has provided a valuable lesson about platform risk. A decentralized economy built on top of a centralized API is inherently vulnerable—this conclusion extends far beyond the information finance sector and applies to any Web3 product reliant on Web2 infrastructure.

InfoFi has neither disappeared nor been defeated. The sector has transitioned from a phase of loud experiments to a phase of slow engineering work—and it is here that its true form is being created.