Recently, while browsing the X platform, I suddenly noticed that many familiar Crypto Assets opinion leaders and project party accounts had disappeared. After some investigation, it turned out to be a large-scale account suspension operation targeting a specific area, rather than an individual case.
After careful analysis, it was found that these banned accounts have obvious common characteristics:
1. They have all actively participated in market activities related to AI Agent. 2. These accounts frequently mentioned a certain AI investment organization. 3. They have interacted with the founder or official account of a certain automation platform.
Essentially, this is a precise targeted elimination operation.
Through in-depth investigation, I found that this account suspension was not due to content violations, but rather because of issues with the "data collection" method. Many initially speculated it was due to policy risks or content crossing red lines, but the actual situation is more complex. The core of the problem lies in the fact that these projects bypassed the data interface provided by X official, opting instead to use third-party crawling tools to collect platform data in large quantities.
It is worth noting that the enterprise API fees of the X platform are extremely expensive: retrieving just 200 million tweets costs over $200,000 per month. Moreover, platforms that offer automated retrieval and interaction features may have monthly request volumes as high as 1 billion. If data is obtained entirely through formal channels, the costs will be staggering.
In order to reduce costs, some project parties have chosen to use crawlers as an unofficial method. The X platform has clearly already noticed these behaviors and has directly adopted a strategy of complete elimination this time, not only banning the main accounts that used crawlers but also punishing opinion leaders and other users who have close interactions with these projects.
This event also reflects the dilemma faced by Web3 projects between data acquisition and compliance. When official API pricing is too high, some projects may take risks to find alternative solutions, but ultimately may pay the price for violating platform rules. In the data-driven AI era, how to legally and reasonably acquire and use data has become a matter that the project party must consider carefully.
The content is for reference only, not a solicitation or offer. No investment, tax, or legal advice provided. See Disclaimer for more risks disclosure.
16 Likes
Reward
16
7
Share
Comment
0/400
MoonRocketman
· 06-15 05:16
If you don't get on track, you will Get Liquidated.
Recently, while browsing the X platform, I suddenly noticed that many familiar Crypto Assets opinion leaders and project party accounts had disappeared. After some investigation, it turned out to be a large-scale account suspension operation targeting a specific area, rather than an individual case.
After careful analysis, it was found that these banned accounts have obvious common characteristics:
1. They have all actively participated in market activities related to AI Agent.
2. These accounts frequently mentioned a certain AI investment organization.
3. They have interacted with the founder or official account of a certain automation platform.
Essentially, this is a precise targeted elimination operation.
Through in-depth investigation, I found that this account suspension was not due to content violations, but rather because of issues with the "data collection" method. Many initially speculated it was due to policy risks or content crossing red lines, but the actual situation is more complex. The core of the problem lies in the fact that these projects bypassed the data interface provided by X official, opting instead to use third-party crawling tools to collect platform data in large quantities.
It is worth noting that the enterprise API fees of the X platform are extremely expensive: retrieving just 200 million tweets costs over $200,000 per month. Moreover, platforms that offer automated retrieval and interaction features may have monthly request volumes as high as 1 billion. If data is obtained entirely through formal channels, the costs will be staggering.
In order to reduce costs, some project parties have chosen to use crawlers as an unofficial method. The X platform has clearly already noticed these behaviors and has directly adopted a strategy of complete elimination this time, not only banning the main accounts that used crawlers but also punishing opinion leaders and other users who have close interactions with these projects.
This event also reflects the dilemma faced by Web3 projects between data acquisition and compliance. When official API pricing is too high, some projects may take risks to find alternative solutions, but ultimately may pay the price for violating platform rules. In the data-driven AI era, how to legally and reasonably acquire and use data has become a matter that the project party must consider carefully.