Our database covers 99%+ of active internet usage, sourced from authoritative data including Google's Chrome User Experience Report. With weekly updates, you always have the freshest domain classification data available.
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Coverage matters. When evaluating a URL categorization database, the percentage of domains you can classify directly impacts your product's effectiveness. Our database is built from the ground up to maximize coverage while maintaining accuracy.
We source our domain list from multiple authoritative sources, with Google's Chrome User Experience Report (CrUX) forming the foundation. CrUX data represents real-world browsing patterns from hundreds of millions of Chrome users worldwide, ensuring our database covers the domains that actually matter to your users.
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Our coverage is particularly strong where it matters most: the domains your users actually visit. With 18 million domains sourced directly from Google CrUX data, we ensure that virtually every meaningful web interaction can be classified.
CrUX is Google's publicly available dataset of real-world user experience data. It represents billions of page loads from millions of Chrome users who have opted in to share browsing data. This gives us an unparalleled view of which domains actually receive meaningful traffic.
Beyond CrUX, we incorporate domains from certificate transparency logs, DNS zone files, SEO tools, and customer submissions. This multi-source approach ensures comprehensive coverage even for newly registered or niche domains.
The web changes constantly. New domains are registered, existing sites change their content focus, and previously categorized domains may shift their purpose. Our weekly update cycle ensures your categorization data stays current.
We monitor approximately 200,000 newly registered domains daily, categorizing them as they gain traffic.
Our AI continuously re-evaluates existing domains to detect content shifts and update categories accordingly.
OEM customers can submit domains for priority categorization, ensuring critical domains are processed within hours.
The effectiveness of any URL categorization solution hinges directly on its coverage capabilities. When your application encounters an uncategorized domain, it creates gaps in your security posture, advertising targeting, or content filtering effectiveness. Our comprehensive coverage approach eliminates these blind spots by ensuring that virtually every domain your users encounter is properly classified.
Organizations using databases with limited coverage often face significant operational challenges. Security teams may miss malicious domains that slip through unclassified, advertisers may serve ads on inappropriate content, and content filters may fail to block harmful material. These failures can result in security breaches, brand safety incidents, and compliance violations that carry substantial financial and reputational costs.
While total domain count is important, the quality of coverage matters even more. A database with 100 million domains that misses popular, high-traffic sites provides less value than our focused approach targeting the domains users actually visit. By building our coverage around real-world browsing data from Google CrUX, we ensure that our classification efforts prioritize the domains that matter most to your applications.
Maintaining comprehensive web coverage requires sophisticated technical infrastructure that can discover, analyze, and classify millions of domains continuously. Our platform combines multiple data collection methods, advanced machine learning classification systems, and robust quality assurance processes to deliver the most comprehensive and accurate domain database available.
Our global crawling infrastructure operates across multiple geographic regions, ensuring we can access and analyze content from websites worldwide regardless of geographic restrictions or hosting locations.
Multi-region crawling nodes for global reach
Adaptive crawling rates respecting robots.txt
JavaScript rendering for modern web applications
Mobile and desktop user-agent simulation
Our classification system employs state-of-the-art natural language processing and computer vision models to analyze website content across multiple dimensions simultaneously.
Transformer-based text classification models
Visual content analysis using computer vision
Metadata and structural analysis
Multi-language content processing
Coverage without accuracy provides little value. Our quality assurance processes ensure that every domain classification meets rigorous accuracy standards before entering our production database. We employ multiple validation layers including automated testing, statistical analysis, and human review for edge cases.
Every classification passes through automated quality gates that verify confidence scores, check for classification consistency, and flag potential errors for review. Our systems automatically identify and quarantine suspicious classifications before they reach customers.
For ambiguous cases, newly emerging content categories, and quality auditing, our team of trained content analysts provides human oversight. This ensures our automated systems remain calibrated and accurate even as web content evolves.
We continuously monitor classification accuracy through statistical sampling, customer feedback analysis, and comparison against ground-truth datasets. Our target is maintaining 98%+ accuracy across all major content categories, with even higher accuracy for critical security and safety categories.
Classification Accuracy: 98%+ across all categories
False Positive Rate: Less than 0.5% for security categories
Coverage Completeness: 99%+ of requested domains
Data Freshness: 95% of domains updated within 7 days
Multi-Category Agreement: High inter-rater reliability
Edge Case Handling: 99% resolution within 24 hours
Customer Feedback Response: 100% reviewed within 48 hours
Automated Detection: 99.9% threat detection rate
Not all URL categorization databases are created equal. Many competitors rely on limited data sources, outdated crawling infrastructure, or insufficient classification capabilities that result in significant coverage gaps. Our approach addresses these common limitations through superior data sourcing, advanced technology, and continuous improvement processes.
Traditional URL categorization providers often struggle with newly registered domains, international content, and rapidly changing websites. Their databases may contain stale data, miss emerging threats, or provide inconsistent classifications across similar content types.
By sourcing our domain list from Google CrUX data representing real user browsing patterns, we ensure comprehensive coverage of domains that actually matter. Our weekly update cycle keeps data fresh, while our advanced ML classification provides consistent, accurate results across all content types and languages.
Different applications have varying coverage requirements. Security applications need near-perfect coverage to prevent threats from slipping through. Advertising platforms need comprehensive coverage to maximize brand safety. Understanding these requirements helps organizations choose the right database for their needs.
Security teams protecting enterprise networks cannot afford coverage gaps. Uncategorized domains represent potential attack vectors that malicious actors can exploit. Our comprehensive coverage ensures security policies apply uniformly across all web traffic.
Ad tech platforms processing billions of bid requests daily need instant categorization for every URL. Coverage gaps result in missed targeting opportunities or brand safety failures. Our database ensures every impression opportunity can be properly evaluated.
Family safety applications must block inappropriate content consistently. Parents trust these tools to protect children from harmful material. Comprehensive coverage ensures protection extends to all corners of the web, not just well-known sites.
Organizations subject to regulatory requirements need comprehensive URL categorization for compliance reporting and policy enforcement. Coverage gaps can result in audit failures and regulatory penalties.
The web continues to evolve rapidly with new domains, content types, and technologies emerging constantly. Our commitment to comprehensive coverage includes continuous investment in expanding our data sources, improving our classification technology, and adapting to changing web landscapes.
We actively pursue partnerships with additional data providers to expand our domain discovery capabilities. This includes relationships with registrars, hosting providers, and security researchers who can provide early visibility into newly created domains.
Our research team continuously evaluates and implements new machine learning techniques to improve classification accuracy and speed. This includes exploring large language models, multimodal analysis, and real-time classification capabilities.
Customer feedback plays a crucial role in maintaining and improving our coverage. When customers report missing or miscategorized domains, we prioritize these for immediate review and use the patterns to improve our automated systems.
Download a sample of our database to see the depth of coverage firsthand, or explore our interactive database to verify coverage for your specific domains.
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