The beginning of 2026 has brought a significant shift in the intersection of social media and crypto-based incentive systems. Social platform X, formerly Twitter, has issued a strict new policy banning InfoFi apps—tools that reward users for posting, commenting, or interacting. As a result, Kaito, one of the most visible InfoFi-enabled crypto platforms, has announced it will phase out its Yaps reward mechanism, triggering a market-wide reaction and a 17% drop in the KAITO token.
X’s newly updated developer API terms explicitly prohibit applications that incentivize posting or amplify user engagement through financial rewards. The platform’s product head revealed that InfoFi-style apps had accelerated the spread of AI-generated spam, low-quality responses, and automated posting behaviors. The ban aims to restore authentic user engagement and reduce manipulation.
This marks the strongest regulatory stance X has taken against InfoFi systems, which had grown rapidly throughout 2025 due to their ability to convert social activity directly into token-based rewards.
Kaito, widely known for its AI-powered research tools and its InfoFi incentives, confirmed it will retire Yaps, the feature responsible for rewarding users’ posting activity across social platforms. Yaps was central to Kaito’s early growth, helping the project attract large user volumes and high engagement.
However, with X banning API access for reward-driven posting apps, Kaito acknowledged that Yaps has become unsustainable under the new regulatory environment. The platform stated it would pivot toward more scalable and compliant business models instead of relying on financial incentives to drive content creation.
The market reacted immediately after the announcement. The KAITO token dropped roughly 17%, declining from around $0.70 to the $0.58–$0.59 range within hours. Trading volume surged as investors reassessed the viability of Kaito’s reward-based economy.
The decline was not limited to Kaito. Other InfoFi-linked tokens such as COOKIE and LOUD also experienced sell-offs, indicating broader concerns about the sector’s sustainability. The sharp reaction highlighted how strongly InfoFi tokens depend on consistent traffic and platform support from centralized ecosystems like X.
While InfoFi promised to democratize content rewards using blockchain technology, the model contains several systemic risks:
Most InfoFi applications rely on X’s API. A single policy shift can disrupt entire business models, as demonstrated in this event.
Reward-per-post systems naturally attract bots, farm accounts, and AI spam, undermining content authenticity and damaging platform trust.
Reward models often prioritize volume over quality, and may not sustain community value over time.
As platforms tighten controls on automated posting, crypto projects tied to social reward mechanics face increased compliance pressure.
The collapse of multiple InfoFi tokens following X’s announcement highlights the fragility of incentives that rely too heavily on external ecosystems instead of intrinsic utility.
In response to the policy shift, Kaito emphasized a new strategic direction revolving around Kaito Studio, a platform aimed at content creators, brands, and professional communities. Instead of rewarding every post, Kaito Studio focuses on structured collaborations, higher-quality content production, and marketing partnerships.
This evolution signifies Kaito’s attempt to move from a “reward-driven posting app” to a value-driven creator platform. While this transition may take time to mature, analysts suggest it could lead to a more sustainable business model, less dependent on external policy risks.
The sudden downturn in InfoFi token prices marks a potential turning point for the sector. Moving forward, investors may need to focus on:
Business models that do not rely solely on posting incentives
Projects with diversified platform integrations
Teams investing in compliance and long-term product development
Ecosystems that generate real utility beyond farming rewards
At the same time, X’s crackdown may encourage the emergence of new InfoFi architectures—possibly decentralized, platform-independent, or AI-verified—to address current weaknesses.





