zveloDB™ URL Database

99.9% Coverage

Over 99.9% coverage of the active web traffic, incorporating URLs that have been visited by our global network of 500 million users across Network Security, IoT Security, and Ad Tech markets.

99%+ Accuracy

We use AI/machine learning combined with human quality assurance to maintain over 99% accuracy for categorizing web content into topic-based, objectionable, and malicious categories.

Supports Over 200 Languages

The market’s best language support by country, covering over 200 languages, using human-supervised machine learning systems. See our Language Support Map.

Fast Performance

Local lookups in 5 microseconds or 200,000 queries per second per instance using the zveloDB SDK, supplemented by cloud updates for uncategorized URLs. Alternatively, take complete control by directly ingesting all categorized URLs into your systems with a raw data stream.

Malicious Detection

Interrogate threats at the URL and IP level and identify malicious activities such as malware, phishing, fraud, and spyware. zvelo employs a crowd-sourced approach for obtaining a constant stream of URLs to analyze by combining static analysis, behavioral analysis, 3rd party industry feeds, and human-supervised machine learning to deliver the most extensive malicious site detection.

Objectionable Content

This versatile set of categories can be used in a wide variety of cultural settings. Identify URLs and for parental controls applications to block inappropriate or objectionable categories consisting of various levels of severity including porn, hate speech, violence, etc.

Granular Taxonomy

Nearly 500 different categories with exclusive category mapping that provides seamless and transparent integration with your required taxonomies. With the ability to create custom category maps for your specific application including SOHO, SMB, Enterprise, Parental Controls or a custom category map specific to your taxonomy.

Flexible Integration Options

From endpoint security to perimeter security to UTM vendors to hosted security providers, zvelo covers the broadest spectrum of flexible and easy-to-integrate deployment options including cloud-based API, a local SDK, or as a raw data stream.

Continuous Updates for the Dynamic Web

For real-time updates of newly categorized topic-based, objectionable, and malicious URLs, as well as daily database updates providing full mirror and incremental updates.

Flexible Pricing

A major advantage of the zveloDB URL Database is pricing flexibility that aligns with your business model, including “Per User”, “Per Subscriber”, “Per Appliance”, “Bandwidth”, and more.

Content Dataset

Experience market leading accuracy and coverage for web and social content categorization with 99.9% coverage of the ActiveWeb and incorporating over 200 languages. For use in Network Security with web filtering and parental controls, Mobile Service Provider/Subscriber Analytics with Audience/Customer Profiling and in Ad Tech with Contextual Targeting and Brand Safety.

Objectionable Dataset

Identify URLs that are inappropriate or non-brand safe. Categories include various levels of severity associated with porn, hate speech, violence, etc. For use in Network Security with web filtering and parental controls, and in Ad Tech with Brand Safety, or in Mobile Service Provider & Subscriber Analytics with Contextual Targeting.

Comprehensive Page-Level Traffic Dataset

The Comprehensive Page-Level Traffic (CPT) Dataset enables you to pinpoint non-human (bot) and low quality (such as click farms) traffic beyond the domain level—all the way down to the specific page level. For use in Ad Tech with Ad Fraud Prevention.

Invalid Traffic (IVT) Dataset

Gain insight into invalid traffic (NHT) classifications of web crawlers, traffic from known data centers, fake crawlers and malicious bots to use as a block list of IPs for invalid traffic. For use in Ad Tech with Ad Fraud prevention and Transparency and in Network Security to protect networks against malicious bot attacks.