News and updates from the Wikimedia Enterprise team
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Explore Wikipedia content in a clean, structured format with our new beta dataset on Kaggle. Built from our Snapshot API using the Structured Contents beta, it’s ideal for data science, ML training, and experimentation.
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Wikimedia Enterprise is partnering with ProRata.ai to power its new search engine, Gist.ai, with reliable, human-curated Wikimedia content. The collaboration supports a sustainable content ecosystem through transparent attribution and API-driven innovation—ensuring creators are credited and content remains discoverable in the AI era.
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The latest API release boosts Wikipedia data integration with parsed references in JSON and two quality scoring models – Reference Need and Reference Risk. These enhancements streamline citation access and improve content reliability for developers.
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Wikimedia Enterprise joined Creative Commons at SXSW 2025 on March 9th in downtown Austin for a day of insightful conversations and panels exploring the intersection of artificial intelligence and open data. The discussions emphasized the critical importance of protecting and ethically advancing open access principles amidst rapid technological growth. The event brought together industry leaders,…
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Wikimedia Enterprise and Pleias are partnering to drive ethical AI innovation with high-quality, structured data. By integrating Wikimedia’s verifiable datasets, Pleias enhances its AI models while ensuring openness, auditability, and multilingual accuracy.
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A Partnership for Sustainability of Knowledge and the Planet – Wikimedia Enterprise has announced an exciting new partnership with Ecosia search engine.
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Discover how Wikimedia Enterprise APIs transformed in 2024 with parsed article sections, an AI focus, and greater free access. Learn about our enhanced developer tools and how to leverage Wikipedia’s dynamic content with recurring API access and improved data structures.
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We’re releasing an early beta dataset on Hugging Face, offering structured content from English and French Wikipedia. This machine-readable dataset, derived from our Snapshot API’s new Structured Contents beta, opens up new possibilities for AI and machine learning applications.
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Snapshot API now includes a beta Structured Contents endpoint, offering bulk access to parsed Wikipedia data for testing partners.
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We’re excited to announce a major upgrade to our free API tier. Users now benefit from recurring monthly credits, replacing the previous lifetime limit, and enjoy twice the speed in data updates. These enhancements are designed to provide more value and flexibility to our free account holders.
