InfoFi Narrative Collapses, Kaito, Cookie, and Others Shut Down Related Products

marsbitPublished on 2026-01-15Last updated on 2026-01-15

Abstract

The InfoFi narrative, which gained significant traction in the crypto industry, experienced a sudden collapse following an announcement by X's product lead, Nikita Bier, regarding changes to the platform’s API policy. The new policy prohibits applications that reward users for posting on X, citing concerns over AI-generated spam and low-quality replies. This decision effectively undermines the core functionality of many InfoFi projects that rely on X’s API to access user data and distribute tokenized rewards. Key projects, Kaito and Cookie, quickly responded to the policy shift. Kaito announced it would pivot toward Kaito Studio, a more selective, brand-driven platform that moves beyond the crypto space. Its founder, Yu Hu, emphasized a broader focus beyond cryptocurrency. Similarly, Cookie decided to shut down its Snaps platform but is developing Cookie Pro, a real-time crypto market intelligence tool, while exploring potential future adaptations in line with X’s guidelines. The abrupt policy change highlights the vulnerability of InfoFi models that depend heavily on-platform engagement metrics. While some projects, such as those focused on monetizing narratives rather than direct posting rewards, may remain unaffected, the incident marks a significant shift for the attention economy within crypto. The evolution of InfoFi may continue in new forms, but its current iteration has been severely disrupted.

Author: Gu Yu, ChainCatcher

At 1:16 AM Beijing time on January 16, the crypto industry was once again as the highly popular InfoFi narrative suddenly collapsed. Kaito, Cookie, and others successively announced the shutdown of InfoFi-related products and attempted to pivot, with their token prices plummeting by nearly 20% at one point.

And this was all triggered by a tweet from X Product Lead Nikita Bier. Nikita Bier stated that the team is revising its developer API policy and will no longer allow any applications that reward users for posting on the X platform (e.g., "infofi"). This has led to the platform being flooded with a large amount of AI spam and reply spam.

"We have revoked the API access for these applications, so your X experience should start to improve soon (once the bots realize they are no longer being paid)." Nikita Bier said.

Since most InfoFi projects rely on the X product API to obtain user tweet data and determine reward schemes, once the API is disabled, the vast majority of content for such products will stop updating, losing their foundation.

An hour after the news was released, projects like Kaito and Cookie quickly issued response statements on their official Twitter accounts, showing that they had anticipated and prepared for this situation. Let's first see how they specifically responded.

Kaito: To Focus More on Areas Beyond Crypto

Kaito stated that in response to the large number of spam tweets, the project tried stricter eligibility reviews, higher leaderboard thresholds, social + on-chain screening mechanisms, and different incentive mechanisms. However, due to platform-wide X algorithm changes and the launch of other InfoFi projects with varying thresholds, the problem of low-quality and spam information remains widespread across the cryptocurrency field.

After discussions with the X team, both parties agreed that a completely permissionless distribution system is no longer feasible and does not meet the needs of high-quality brands, serious content creators, or X as a platform.

Next, Kaito will focus on launching Kaito Studio, which will be closer to a traditional tiered marketing platform where brands can selectively collaborate with creators based on established criteria and clear project scopes.

Kaito founder Yu Hu said that the past few months have been busy with the development of Kaito Studio, hence the low profile on social media and announcements, with little mention of project construction and strategic adjustments. Additionally, he personally met with some large brands outside the cryptocurrency field to learn from the successful experiences of traditional industry.

"We should no longer build and create for cryptocurrency, but for the broader world." Yu Hu believes that 2026 will be the year Kaito transcends CT as its main platform and cryptocurrency as its primary vertical.

Cookie: To Launch Real-Time Crypto Market Wallet Tool

Cookie posted that deciding to shut down the Snaps platform and all active creator campaigns was a difficult and sudden decision, but it was necessary to maintain the integrity of the Cookie data layer and products.

After discussions with the X team regarding its API and X usage policies, Cookie decided to immediately shut down Snaps and all ongoing activities.

However, the project still holds hope for the future of the Snaps product. "Currently, we are actively negotiating with X to determine if Snaps can continue to operate in a new form." Cookie believes, "We have always firmly believed that we fully comply with all of X's rules and policies. We will await confirmation and guidance from X on whether creator activities (such as Snaps) can operate in any form in the future."

At the same time, Cookie also proposed future product iteration plans, "For the past six months, we have been developing Cookie Pro—a real-time market intelligence tool for the cryptocurrency field, planned for official launch in the first quarter."

Has InfoFi Fallen?

It is undeniable that InfoFi has brought much vitality and change to the industry in recent years. It combines information and finance, creating a mechanism that evaluates user contributions based on the attention generated by their content (e.g., views, comments, and shares) and links it to token rewards.

In essence, InfoFi transforms attention from an abstract concept into quantifiable and tradable data. User participation shifts from simple content consumption to productive activity, and projects can more targetedly provide rewards to their content contributors.

However, when attention becomes the standard for rewards, the purpose of creating content now shifts from providing information or encouraging meaningful engagement to merely seeking rewards. And generative AI makes content creation easier, leading to the rapid spread of bulk content lacking real information or insight.

Several key members of the X team have mentioned the decline in Twitter content quality brought by InfoFi, so projects like Kaito have tried to optimize their algorithmic solutions, but never expected X to directly block this path from its foundation.

It is worth noting, however, that not all InfoFi projects incentivize users to post for rewards. For example, projects like xHunt and Ethos that rely on the X API primarily use the API to obtain tweet data for scoring and other operations. The impact of this X API policy adjustment on these projects is not yet known and requires further observation.

Additionally, some types of InfoFi projects mainly focus on the monetization of industry hotspot narratives, such as Noise and Narrative, and are expected to be largely unaffected.

Now that the InfoFi narrative has quickly collapsed, the attention economy and creator economy remain key focuses of the entire internet industry. In the future, InfoFi may reappear in front of the public in new forms and concepts.

Trending Cryptos

Related Questions

QWhat major event led to the collapse of the InfoFi narrative and the shutdown of products like Kaito and Cookie?

AThe collapse was triggered by X's product lead Nikita Bier announcing a revision to the developer API policy, which no longer allows applications that reward users for posting on X (such as 'infofi') due to the proliferation of AI-generated spam and low-quality replies.

QHow did Kaito respond to X's API policy change, and what is their new strategic direction?

AKaito responded by shifting focus to Kaito Studio, a more traditional graded marketing platform where brands can selectively collaborate with creators based on set criteria. They aim to expand beyond the cryptocurrency领域 and target broader industries.

QWhat product did Cookie announce it was developing after shutting down its Snaps platform?

ACookie announced it is developing 'Cookie Pro,' a real-time market intelligence tool for the cryptocurrency space, planned for launch in the first quarter.

QWhy did X decide to restrict API access for InfoFi applications according to the article?

AX restricted API access because InfoFi applications incentivized users to post content primarily for rewards, leading to an influx of low-quality, AI-generated spam that degraded the overall user experience on the platform.

QAre all types of InfoFi projects affected equally by X's API policy change, as per the article?

ANo, not all InfoFi projects are equally affected. Projects like xHunt and Ethos that use X API for data scoring may be impacted, while others like Noise and Narrative, which focus on monetizing industry narratives, are expected to remain largely unaffected.

Related Reads

Former CFTC Chairman, Circle President Tarbert: Preaching Long-Termism While Cashing Out $30 Million Himself

Former CFTC Chairman and Circle President Heath Tarbert has consistently advocated for a long-term vision in public, urging patience from investors as Circle’s stock price has fallen significantly from its peak. However, it has been revealed that since Circle’s IPO, Tarbert has continuously sold his CRCL shares through pre-arranged trading plans, cashing out approximately $30 million, without making any public market purchases. This contrast between his public messaging and personal actions has drawn criticism. Tarbert joined Circle in July 2023 as Chief Legal Officer, leveraging his regulatory experience to help guide the company through its IPO and expansion. Despite promoting stablecoins as long-term infrastructure, he established a 10b5-1 trading plan just before Circle went public, leading to substantial stock sales over the following year. In March 2026, he initiated another plan to sell more shares. His career trajectory highlights a pattern of moving between high-level regulatory roles and influential positions in the financial sector. After resigning as CFTC Chairman in early 2021, he joined Citadel Securities as Chief Legal Officer just 27 days later, during a period of intense regulatory scrutiny for the firm. He later joined Circle, aiding its efforts to navigate regulatory challenges for its public listing. While Tarbert's expertise in policy and compliance is valuable to companies like Circle, his actions—advocating long-term confidence while personally divesting—raise questions about the alignment between his public statements and his private financial decisions, leaving investors who followed his advice to bear the market risks.

marsbit17m ago

Former CFTC Chairman, Circle President Tarbert: Preaching Long-Termism While Cashing Out $30 Million Himself

marsbit17m ago

Gate Research Institute: The 'Wall Street-ization' Wave of Crypto Financial Products – Competition or Integration?

The article titled "Gate Research Institute: Are Crypto Financial Products Sparking a 'Wall Street' Wave—Competition or Convergence?" explores the evolving relationship between the crypto ecosystem and traditional finance (TradFi). The piece begins by reflecting on Bitcoin's original 2009 vision of decentralization, disintermediation, and moving away from banks. It then contrasts this with the 2024 landscape, where key crypto assets like Bitcoin are increasingly held through Wall Street products like ETFs issued by giants like BlackRock. The article questions whether this signifies that TradFi is systematically taking over the rights to issue, price, custody, and distribute crypto financial assets. The core argument is that this is not a zero-sum takeover but rather a bidirectional convergence where each side addresses the other's weaknesses. Crypto offers 24/7 global markets, programmable settlement, and open access but lacks compliant channels, institutional-grade custody, deep fiat liquidity, and mainstream distribution. TradFi possesses these but is constrained by legacy systems, limited operating hours, and slow settlement. Two primary convergence paths are highlighted: * **Path A (CEX to TradFi):** Exemplified by Gate, which has progressed from offering tokenized stocks and CFDs to providing direct, real stock trading (US, Hong Kong, South Korea) within its platform, using USDT. * **Path B (TradFi to Crypto):** Exemplified by Robinhood, which has integrated crypto trading, acquired exchanges like Bitstamp, and is moving traditional assets like stocks onto the blockchain via tokenization and its own Layer 2. Both paths are ultimately competing to become the next-generation, unified financial account—a "super account" where users can seamlessly trade cryptocurrencies, stocks, ETFs, RWA (Real World Assets), and tokenized treasury products in one interface. The growth of RWA and tokenized treasuries (e.g., BlackRock's BUIDL) is presented as the asset-layer fusion, providing stable, yield-bearing assets on-chain and acting as a bridge between the two worlds. In conclusion, the "Wall Street-ization" of crypto is framed as a mutual transformation. Decentralized ideals persist in the protocol layer, while at the application layer, a more efficient, global, and accessible unified capital market is emerging from this convergence. The future competition lies not between crypto exchanges and stockbrokers, but between platforms vying to offer the most comprehensive asset coverage, liquidity, and user experience within a single account.

marsbit21m ago

Gate Research Institute: The 'Wall Street-ization' Wave of Crypto Financial Products – Competition or Integration?

marsbit21m ago

Claude's Major New Feature: Screen Recording + Voice, Distilling Your Skills into AI Tasks in One Click

Claude has introduced a major new feature called "Record a Skill," available for Pro, Max, and Team users. This function, found in the Claude desktop app's CoWork menu, allows users to create reusable AI skills simply by recording their screen and providing voice narration while performing a task. Claude then automatically analyzes the recording and generates a functional Skill. A hands-on test confirmed the feature works seamlessly. Users start recording via the Skills manager, perform their workflow while verbally explaining the steps and logic, and avoid including sensitive information. After recording, Claude processes the content and creates the Skill, which can be saved and later invoked with a slash command (/). This eliminates the need for manual adjustments or writing complex instruction files. The innovation goes beyond mere efficiency. Previously, creating a Skill required writing a detailed SKILL.md file in Markdown—a significant barrier for non-technical users. "Record a Skill" bypasses this by directly capturing both actions and the implicit reasoning shared in the narration. This lowers the barrier to knowledge transfer and automation, addressing a core challenge in corporate knowledge management: the difficulty of getting experts to write and maintain documentation. However, the feature also highlights a shift in the nature of work. A case study from March 2026 showed a freelancer whose five-year client relationship was effectively replaced by a hand-coded Claude Skill automating their content workflow. With the even lower barrier of screen recording, the ability to distill personal expertise into automatable skills accelerates this trend. The "moat" for work is moving from simply knowing how to do a task to mastering tasks that are difficult or impossible to automate.

marsbit25m ago

Claude's Major New Feature: Screen Recording + Voice, Distilling Your Skills into AI Tasks in One Click

marsbit25m ago

Feeding AI "Noise" Can Also Boost Scores, This Work Enables Positive Transfer with Noise

Feeding "Noise" to AI Can Improve Performance: A Method Enables Positive Transfer from Noise This work, Semi-Supervised Noise Adaptation (SSNA), introduces a Noise Adaptation Framework (NAF) that challenges traditional transfer learning. Instead of requiring a labeled source domain of real data (e.g., images, text), NAF uses randomly generated Gaussian noise as the source. For a target task with C classes, it constructs C noise clusters by sampling from Gaussian distributions. Although this synthetic noise contains no semantic meaning, NAF trains it to form a discriminative class structure in a shared representation space—clustering same-class noise and separating different classes. The key is aligning this learned structure from the noise domain to the real, sparsely labeled target domain. A small number of target labels are still essential to establish the correspondence between noise clusters and actual classes. The training objective combines: 1) supervised loss on the few labeled target samples, 2) classification loss for the noise to build its structure, and 3) a distribution alignment loss (using Negative Domain Similarity) to minimize the gap between the noise and target domains in the shared space. Experiments show significant gains in few-label settings. With just 4 labels per class, NAF with a ResNet-18 backbone improves accuracy over a standard supervised baseline (ERM) by +12.35% on CIFAR-10, +7.61% on CIFAR-100, +4.38% on DTD-47, and +2.74% on Caltech-101. It also benefits fine-grained datasets and scales to ImageNet-1K (with 100 labels/class) and text classification (AG News). NAF can be integrated into existing semi-supervised methods like FixMatch for further gains. Ablation studies confirm the transferred benefit comes from the discriminative structure of the noise, not randomness itself. Collapsing all noise into a single point causes negative transfer, while increasing separation between noise cluster centers improves performance. The amount of noise per class is less critical once a basic structure forms. In conclusion, this work demonstrates that for positive transfer, the semantic content of source data may not be necessary. What can be effectively transferred is the *organizational structure* of categories within a representation space. This offers a promising alternative for scenarios where real source data is unavailable due to privacy, copyright, or procurement constraints.

marsbit27m ago

Feeding AI "Noise" Can Also Boost Scores, This Work Enables Positive Transfer with Noise

marsbit27m ago

Trading

Spot

Hot Articles

How to Buy COOKIE

Welcome to HTX.com! We've made purchasing Cookie DAO (COOKIE) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy Cookie DAO (COOKIE) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your Cookie DAO (COOKIE)After purchasing your Cookie DAO (COOKIE), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade Cookie DAO (COOKIE)Easily trade Cookie DAO (COOKIE) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

3.8k Total ViewsPublished 2025.07.23Updated 2026.06.02

How to Buy COOKIE

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of COOKIE (COOKIE) are presented below.

活动图片