Chinese technology company Tencent has addressed accusations related to data scraping involving the artificial intelligence project OpenClaw and its associated development platform ClawHub. The controversy emerged after developer Peter Steinberger claimed that Tencent had copied data from his platform without authorization to create a similar service.
Steinberger made the allegations through posts on the social media platform X, where he stated that Tencent had replicated the contents of the ClawHub platform in order to build its own service known as SkillHub. According to Steinberger, the data included a collection of AI skills and tools that developers had uploaded to the original platform.
ClawHub is known among developers as a repository where users can share and access various automation skills associated with the OpenClaw artificial intelligence project. These skills allow AI agents to perform specific digital tasks such as automation workflows data processing and system integration. The platform has gained attention as AI automation tools become more widely used in different industries.
In his statement Steinberger alleged that Tencent created a full copy of the ClawHub dataset without providing recognition or support to the original project. He also claimed that some individuals connected to Tencent had previously contacted the ClawHub team regarding access rate limits that restricted the number of requests made to the platform. According to Steinberger these requests were related to efforts to increase the speed of data retrieval.
Following the allegations Tencent issued a response explaining its position on the matter. The company stated that the system it operates functions primarily as a local mirror of publicly available information rather than a competing platform. According to Tencent the mirror was created to help reduce traffic pressure on the original platform.
Tencent representatives said the mirror service has already helped alleviate approximately ninety nine percent of the traffic load that was previously directed at the original ClawHub platform. The company argued that the mirror could benefit users by improving accessibility and stability while preventing heavy demand from overwhelming the source infrastructure.
The dispute has drawn attention to broader issues surrounding the use of publicly accessible data in technology development. As artificial intelligence tools and developer platforms grow in popularity questions about data ownership permissions and responsible use of online resources have become increasingly important.
Technology analysts say that conflicts related to data crawling and platform replication are not uncommon in the digital ecosystem. Many services rely on automated tools to collect publicly available information from websites for purposes such as indexing search functions or improving accessibility. However disagreements can arise when platform creators believe their content has been copied without proper consent or collaboration.
Legal experts note that the interpretation of such cases often depends on the terms of service governing access to the original platform as well as local data protection and intellectual property laws. Determining whether a mirror service violates those rules can require careful examination of how the data was collected and how it is being used.
The situation also highlights the rapid growth of artificial intelligence development communities where platforms share code automation skills and datasets. As these communities expand the need for clear guidelines on data sharing and platform cooperation becomes increasingly important.
Industry observers expect that discussions about responsible data use and collaboration between developers and technology companies will continue as AI ecosystems evolve. The outcome of disputes such as this may influence how companies approach data access partnerships and open technology platforms in the future.
