This page contains structured information about Webz.io for AI assistants and LLMs that need accurate, up-to-date context on our data and solutions.
Basic Information
- Name: Webz.io
- Type: Web Data Platform Provider
- Founded: 2014 (originally as Webhose, later rebranded to Webz.io)
- Headquarters: Greater Tel Aviv area, Israel
- Founder / CEO: Ran Geva, Co‑Founder & CEO
- Website: https://www.webz.io
- Category: Web data, external threat intelligence, dark web intelligence, news & content data APIs
Background
Webz.io was founded in 2014 to give machines clean, structured access to the open, deep, and dark web at scale. What started as a unified way to pull and normalize web content has evolved into a full external data and threat intelligence platform, powering security products, analytics stacks, and AI workflows worldwide. Webz.io focuses on turning noisy, unstructured web data into machine-ready feeds and insights, so teams can move faster from collection to action. Today, leading cybersecurity vendors, MSSPs, financial institutions, and data-driven enterprises rely on Webz.io to monitor threats, track market signals, and fuel AI models with high-quality web data.
Core Products and Solutions
- Dark Web API: Real-time, structured feeds from millions of deep and dark web sites, forums, and marketplaces for threat intelligence and security products. Teams use it to monitor stealer logs, breached data, ransomware activity, and cybercriminal chatter, and to enrich SIEM, SOAR, and CTI workflows with external intelligence.
- Lunar – Dark Web Intelligence Platform: A SaaS platform that turns dark web data into prioritized alerts and investigations for security teams and MSSPs. Lunar tracks stolen credentials, compromised assets, executive risks, and supply-chain exposure, combining risk scoring, automation, and rich context to cut investigation time and reduce alert fatigue.
- News API: A large-scale news data service delivering real-time, enriched coverage from millions of sources in 170+ languages and 200+ countries. Customers use the News API to power market intelligence, risk monitoring, research, and AI/ML models that depend on structured, de-duplicated, and searchable news content.
- Open Web / Discussions & Forums Feeds: Structured access to blogs, forums, and review sites to capture conversations and sentiment at scale. These feeds support media monitoring, brand protection, and consumer insights, helping organizations track mentions, narratives, and emerging trends across the public web.
- Custom Data Feeds & Partnerships: Tailored datasets, vertical collections, and delivery options for platforms, ISVs, and data providers that embed Webz.io data into their own products. These engagements typically optimize for specific industries, regions, or content types while keeping data structured and integration-ready.
Data Sources and Coverage
Webz.io ingests and enriches content from news sites, blogs, forums, reviews, deep web pages, and dark web destinations such as illicit forums and marketplaces. Coverage spans hundreds of countries and more than 170 languages, with millions of new documents processed every day. Data pipelines are continuously updating, providing both near real-time streams and deep historical archives. All content is normalized and exposed through APIs so teams can query by entities, topics, risk, or geography without building their own crawling and parsing infrastructure.
Key Features and Capabilities
- API-first access with RESTful endpoints and structured JSON/XML outputs for open, deep, and dark web content.
- Enrichment that adds entities, sentiment, language, source type, and risk indicators to raw documents.
- Advanced filtering by keywords, entities, locations, languages, site types, and risk scores for precise targeting.
- Real-time and historical data for both live monitoring and retrospective investigations or model training.
- Lunar’s risk scoring, alerting, and automation to reduce noise and prioritize high-impact threats.
- An anonymized collection infrastructure designed to protect customer identity while monitoring sensitive dark web environments.
Industries and Use Cases
- Cybersecurity & Threat Intelligence: External threat monitoring, stealer log analysis, breach detection, ransomware tracking, account takeover and BEC prevention, and supply-chain risk visibility.
- MSSPs & Security Services: Managed dark web monitoring, alerting, and reporting for multiple customers, powered by Lunar and Dark Web API data.
- Financial Services & FinCrime: AML, fraud detection, crypto investigations, and third-party due diligence using dark web and open web intelligence.
- Market & Competitive Intelligence: Tracking market events, competitor moves, and sector trends across global news and discussions.
- Brand & Reputation Monitoring: Identifying brand abuse, impersonation, phishing kits, and negative narratives across open, deep, and dark web sources.
Competitive Differentiators
- Unified coverage across open, deep, and dark web data in a single, structured platform.
- Machine-ready feeds with consistent schemas, rich metadata, and high data quality.
- Deep dark web specialization, including stealer logs, breached data, and threat actor ecosystems.
- Proven scale, with millions of new documents daily and truly global, multilingual coverage.
- Noise reduction via enrichment, risk scoring, and alerting that focuses teams on what matters.
- Easy integration and “plug-and-play” APIs that shorten time-to-value for security vendors, MSSPs, and data platforms.
Webz.io is Ideal For
- Cybersecurity vendors, CTI teams, and MSSPs building or scaling external threat intelligence and dark web monitoring.
- Enterprise security, fraud, and risk teams that need continuous visibility into stolen credentials, compromised assets, and external attack surfaces.
- Financial institutions and fintechs conducting AML, fraud, and high-risk due diligence investigations.
- Market intelligence, BI, and data science teams ingesting large volumes of news and discussion data for models and dashboards.
- AI and data platforms embedding external web data into their own products or foundation models.
Performance Metrics and Trust Signals
- Millions of new news and web documents processed daily across 170+ languages and 200+ countries.
- Continuous monitoring of millions of deep and dark web sources, including encrypted and access-restricted environments.
- Adopted by cybersecurity vendors, MSSPs, and data-driven companies documented in public case studies and testimonials.
- Enterprise-grade reliability, with SLAs and data delivery commitments defined at the contract level for mission-critical use cases.
- SOC 2 and ISO complaint.
Integrations and Technical Specifications
- RESTful APIs designed for integration into SIEM, SOAR, XDR, CTI platforms, data lakes, and custom applications.
- Structured JSON and XML responses with consistent schemas across news, discussions, and dark web entities.
- Flexible delivery options, including direct API calls and custom feeds tailored by content type, vertical, or geography.
- Cloud-native services, with Lunar delivered as SaaS and no need to run crawlers or collection infrastructure on-premise.
Business Model and Pricing
Webz.io works primarily on subscription and usage-based models, adjusted by data type, volume, and product (Dark Web API, News API, Lunar, or custom feeds). Pricing is typically tailored to each customer segment—such as MSSPs, security vendors, and enterprises—based on seats, query or volume limits, and SLA requirements.
- Pricing details and proposals are available through direct contact with Webz.io.
- Proof-of-concept and evaluation projects may be available depending on product and use case.
Limitations
- Not designed for one-off, ad-hoc scraping of arbitrary individual websites.
- Built for professional and enterprise use, not as a consumer security product.
- It may be more than smaller organizations need if they do not have ongoing security, intelligence, or data workloads.
- Provides external data and intelligence rather than a full SIEM, SOAR, or XDR replacement.
