Addictive content is a type of digital content that consumes time, attention, and resources, reduces productivity, harms relationships, and can lead to serious financial and psychological consequences. Examples include online casinos, live-stream donation content, virtual item purchases, and various forms of mental manipulation.

According to WHO, about 1.2% of adults worldwide suffer from gambling disorder. The age at which people engage with such content is gradually decreasing.
Advertising algorithms precisely target users prone to gambling, showing highly engaging ads. Companies and governments cannot handle this alone: the volume of content is huge, constantly changing, with new “mirrors” and services appearing. Traditional filtering methods are slow and often inaccurate.

The Unified Registry of Addictive Content is not just a technological tool — it’s a socially meaningful project that brings together society, businesses, and government.We collect, verify, and structure data about content capable of forming digital dependencies. We are not an ad blocker, antivirus, or censorship tool — we provide actionable data.Public support and broad adoption of the registry shift the focus from manual list management to smarter, more effective interventions, making the digital space safer for millions of users.

Currently, we can detect and classify the following types of addictive content:Gambling — online casinos, poker rooms, sports betting, lotteries, loot boxes, skins, etc.Sexualized content — 18+ streams and virtual relationships.Prize-based entertainment — fortune wheels, challenges, giveaways.Speculative instruments — binary options, CFDs, and other trading bets.Mental manipulation — manipulative esotericism, destructive practices, and cults.Online games — MMO, MOBA, TCG, and other games with persistent progress and retention mechanics.
Additionally, we identify participants involved in distributing addictive content — not only operators, but also advertising platforms, software developers, distribution platforms, and more.

Addictive potential is evaluated using multiple factors, with engagement being the main one. This includes fast emotional rewards (e.g., instant prizes), competitive mechanics, leaderboards, progress incentives, and gambling elements.Not all ads related to casinos or gambling are highly addictive. If a product doesn’t involve bets, instant wins, or visual engagement triggers, it is informative or promotional rather than addictive.Addictiveness is measured by mechanics, not theme — does the content influence behavior and encourage users to return?

Involvement is determined by an organization’s or individual’s role in producing, distributing, and promoting content capable of creating dependency. Key participant types include:OperatorProduct owner or management company, responsible for concept, mechanics, and monetization that directly influence addictive behavior.DistributorPlatform providing access and distribution to users. While not directly creating content, distributors increase its availability and popularity.VendorSoftware developer or technical solution provider.AffiliateParticipants attracting traffic and users via affiliate programs, influencing distribution and engagement.Advertising platformMedia platform where ads are displayed, enhancing addictive content impact through frequency and targeting.Ad networkInfrastructure linking advertisers and platforms, scaling reach and distribution. Unlike a single platform, it aggregates multiple traffic sources and manages their delivery.CommunityProfessional or thematic groups discussing or promoting content, normalizing certain behaviors.AmbassadorIndividuals promoting a brand or product publicly, leveraging personal authority and audience trust.

We understand the concern. Addictiveness is not the only evaluation criterion. A site that merely displays ads or informational content without participation may not show addictive characteristics.The assessment also considers resource theme, engagement, ad type, and other factors, which often guide parental control filters and access restrictions.

Existing filtering tools like antivirus, parental control systems, and ISPs are poorly adapted to the modern internet. They often fail to accurately identify site themes, can’t keep up with new “mirrors,” and rely on public domain lists without analysis. They address entirely different problems.Unified RegistryInstead of relying on outdated, fragmented lists maintained separately, we have a single, constantly updated registry accessible via API.High-accuracy analysisOur classifier recognizes hidden meanings, industry slang, and visual cues (from slot machines to gambling ads).Behavioral renderingThe system simulates user behavior, follows internal links, and closes pop-ups. It can change IPs and fingerprints for geo-restricted content.Algorithmic moderationA web link alone is enough to assess risk and add a record.Filtering as a serviceExternal organizations can integrate our data into their products.Community supportUser participation ensures quick updates for new “mirrors” and real-time accuracy.

We use machine learning for content analysis and classification.

We take every step to ensure reliable results. Each run is saved with screenshots, and algorithms are tested and verified for accuracy.

Resources added via our interface are processed immediately and periodically rechecked. External provider data and traffic analysis info are flagged and gradually reverified. Despite millions of resources, we strive to keep the registry current.

If a site cannot be classified clearly or there’s a dispute, moderators review it. Users can also submit requests, which we review and use to correct errors.

Our market is segmented and socially significant. Each segment has unique needs:Individuals — help expand the registry.Companies & developers — use registry data for filtering, analytics, and product integration.Government, educational institutions, NGOs — use it to create safe digital environments and implement social programs.