The InfoFI space is facing significant headwinds following recent API policy shifts. Both KaitoAI and Cookie3 have announced the discontinuation of their InfoFI platforms, signaling broader challenges in the sector. The core issue runs deeper though—current InfoFI designs carry fundamental flaws that have prioritized algorithmic content over substantive quality. This approach of surfacing AI-generated material at the expense of genuine insights has become increasingly problematic. As these platforms reassess their strategies, the industry is forced to confront uncomfortable truths about how information discovery mechanisms are structured in crypto and Web3 spaces.
The InfoFI space is facing significant headwinds following recent API policy shifts. Both KaitoAI and Cookie3 have announced the discontinuation of their InfoFI platforms, signaling broader challenges in the sector. The core issue runs deeper though—current InfoFI designs carry fundamental flaws that have prioritized algorithmic content over substantive quality. This approach of surfacing AI-generated material at the expense of genuine insights has become increasingly problematic. As these platforms reassess their strategies, the industry is forced to confront uncomfortable truths about how information discovery mechanisms are structured in crypto and Web3 spaces.