Oxylabs launches masque-powered Residential Proxies for real-time AI and HTTP/3 data pipelines. Industry-first native UDP proxying eliminates TCP packet stalls and head-of-line blocking, setting wire-speed transport for large-scale data ingestion. VILNIUS, Lithuania - 6 October 2026 - Oxylabs, a global web intelligence platform serving biggest AI labs, has announced support for the Multiplexed Application Substrate over QUIC Encryption (MASQUE) protocol across its enterprise proxy infrastructure, becoming the first provider to deliver native HTTP/3 and QUIC proxying over a residential proxy network - a crucial breakthrough for real-time AI development, market intelligence, and digital innovation. The move sets a new benchmark for data pipeline speed, reliability, and modern protocol compatibility as the wider web continues its transition to HTTP/3. "As the web transitions to HTTP/3 and agentic AI systems demand continuous, real-time web grounding, legacy TCP proxying is becoming a severe data collection bottleneck. Bringing native MASQUE support to our network ensures enterprise pipelines and AI systems ingest live web data at wire speed without transport stalls," said Justinas Lapienis, Product Manager at Oxylabs. For years, enterprise proxy networks have relied on transport mechanisms built around TCP. That worked well enough when most of the web ran on HTTP/1.1 and HTTP/2, but it creates real friction in an HTTP/3 world. Traditional proxies switch a request back to the older HTTP/2-over-TCP style before it reaches the website, adding overhead and inheriting TCP's weaknesses. When a single packet is lost, TCP holds up every other request traveling over that connection, a problem known as head-of-line blocking, and every new connection pays a repeated handshake cost before any data can flow. The more of the web that runs on HTTP/3, the more often a proxy has to do this downgrade, so the extra handshakes and the stalls from a single lost packet add up across millions of requests into slower, less reliable data collection. MASQUE was developed and standardized by the IETF's MASQUE Working Group precisely to close that gap. It is not a single specification but a family of IETF standards for carrying proxied traffic over QUIC and HTTP. The piece Oxylabs has built into Residential Proxies is CONNECT-UDP, which carries UDP traffic. Instead of forcing a modern connection back through an older TCP tunnel, MASQUE opens a UDP path so a real QUIC/HTTP-3 connection runs all the way to the target. That passes the benefits of QUIC straight through to data pipelines: independent handling of packet loss so one dropped packet no longer stalls everything behind it, faster connection setup with fewer round trips, and sessions that survive network changes instead of dropping. It is the same approach already running behind the scenes in Chrome's own IP Protection feature, at a very large scale. Those gains matter most in the industries moving fastest to large-scale data collection. For teams building AI agent infrastructure, running real-time e-commerce and market intelligence, or supporting cybersecurity work that depends on large-scale data ingestion, the network layer determines whether a pipeline keeps up or falls behind. A proxy that speaks QUIC end to end lets those teams collect at the pace their work demands, without the transport layer becoming the bottleneck. Modernizing the transport layer enhances security without changing Oxylabs' compliance standards. Every connection is authenticated at the gateway with TLS 1.3 encryption before traffic reaches an exit node, backed by the company's established KYC protocols, 24/7 misuse monitoring, and full adherence to GDPR and CCPA guidelines. MASQUE support is available on Oxylabs Residential Proxies now. Existing customers do not need new credentials or a different endpoint, and integration documentation and technical developer guides are available to support adoption. About Oxylabs Established in 2015, Oxylabs is a web intelligence platform and premium proxy provider, enabling companies of all sizes to utilize the power of big data. Constant innovation, an extensive patent portfolio, and a focus on ethics have allowed Oxylabs to become a global leader in the web intelligence collection industry and forge close ties with dozens of Fortune Global 500 companies. Oxylabs was named Europe's fastest-growing web intelligence acquisition company in the Financial Times FT 1000 list for several consecutive years. About Justinas Lapienis Justinas Lapienis is Product Manager at Oxylabs, where he leads development on the company's residential proxy infrastructure and works closely with engineering teams to align its public web data collection technology with modern internet transport standards. 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Oxylabs CEO calls for bolder European approach to AI innovation in Bloomberg TV Bulgaria interview. Yesterday, Vytautas Savickas, CEO of Oxylabs, appeared on Bloomberg TV Bulgaria's "In Development" program to discuss the future of artificial intelligence in Europe, the company's path to recently reached unicorn status, and the shifting dynamics of the global technology landscape. In a conversation with the host Georgi Mesrobovich, Savickas cautioned that Europe's regulatory-first approach to emerging technologies risks putting the continent at a competitive disadvantage against the US and China. "Sometimes we start regulating things that we don't yet know and don't understand how they work, before we've even given innovation a chance to develop," said Savickas. "We're not creating an environment that's conducive enough for innovation and change." Savickas called for increased collaboration between innovative companies and European institutions, alongside greater investment in AI development and data centre infrastructure to meet surging demand for computing power. The interview also explored Oxylabs' journey to becoming Lithuania's sixth unicorn. The company, which provides infrastructure for collecting and processing public data for corporate clients worldwide, including biggest AI companies, attributes its success to a global mindset from inception and a culture of persistence. "The key is to be persistent. It takes time for results to come," Savickas explained. "You have to learn to accept a lot of negative responses before you get a positive one. You shouldn't give up halfway." Oxylabs plans to expand its presence in the US and Asia as part of its continued global growth strategy. Asked how he foresees the future, Savickas highlighted AI agents as a transformative force that will reshape how the internet operates, requiring digital infrastructure to adapt accordingly. He also identified cybersecurity as a critical growth area, noting that AI is amplifying both opportunities and potential threats. "We need to know how to distinguish artificial intelligence from human behaviour because the scale of potential threats and hacker attacks is increasing," he said. "That is why many companies are investing heavily in cybersecurity, and I believe that this market will continue to grow."

Decodo (Smartproxy) alternative for web scraping: 4 options compared [2026]. By ScrapeWise Team Decodo - the platform formerly known as Smartproxy - is a solid, mid-priced proxy-first option: residential, mobile, and datacenter pools plus a Site Unblocker and web scraping APIs. It's popular with teams that want proxies without Bright Data's enterprise weight or price. But "proxy-first" is also its boundary. You still write and maintain the scraping logic on top of the proxies, and if you need a source outside its API templates you're back to building. Teams look for alternatives when they want either a bigger pool, a different price point, or to stop operating scrapers altogether. Scrapewise compared Decodo against Bright Data, Oxylabs, Zyte, and ScrapeWise on what actually decides the switch. Which Decodo alternative is right for you? | Your situation | Best fit | | Need the largest proxy pool and unblocking scale | Bright Data | | Enterprise proxy + compliance focus | Oxylabs | | Want scraping-as-an-API with auto-extract | Zyte | | Don't want to run scrapers or proxies at all | ScrapeWise | | Cost is the trigger, still want to DIY | Zyte or ScrapeWise | Quick comparison. | Tool | Category | Proxy Pool | You Still Operate | Pricing | | Decodo | Proxy-first platform | Mid-large | Scraper logic | Per-GB / plan | | Bright Data | Proxy + data empire | Very large | Scraper logic | Per-GB / per-record | | Oxylabs | Enterprise proxy + APIs | Very large | Scraper logic | Enterprise | | Zyte | Scraping API | Managed | Some parsing | Per-request | | ScrapeWise | Managed data infra | Managed | Nothing | Pay-per-use | Bright Data vs Decodo. Best for: teams that hit Decodo's pool or unblocking limits at scale. Bright Data's residential and mobile pools are among the largest available, and its unlocker handles the hardest anti-bot targets. If you're outgrowing Decodo purely on scale or success rate, it's the natural step up - at a higher price and more product surface area. See its Bright Data alternative guide. Oxylabs vs Decodo. Best for: enterprises that want proxy scale with a compliance-first posture. Oxylabs is the enterprise heavyweight - large pools, scraper APIs, and a strong compliance story. It's a lateral-to-up move on cost from Decodo, so you'd choose it for scale and enterprise support rather than savings. Its Oxylabs alternative comparison has the detail. Zyte vs Decodo. Best for: teams that want scraping delivered as an API, not raw proxies. Zyte moves up the stack from proxies to a scraping API with automatic extraction, so you write less parsing code. If your friction is building scrapers rather than getting proxies, Zyte reduces more of the work than a proxy swap would. See the Zyte alternative guide. ScrapeWise vs Decodo. Best for: teams that want clean data without operating proxies or scrapers. Decodo gives you the raw access layer; you build everything on top. ScrapeWise is a managed data infrastructure - you name any URL and clean structured records land in your stack, with proxies, fingerprinting, and JavaScript rendering handled automatically. In internal testing (Apr 2026) it returned 97% SKU coverage with real-time (~2-minute) updates and 96% anti-bot success on Amazon EU, on pay-per-use pricing rather than per-GB. The difference from Decodo: no scraper to maintain and no source stuck outside a template. How to choose. * Is your bottleneck proxies or scrapers? Proxies | Bright Data/Oxylabs. Scrapers | Zyte or a managed feed. * Do you need to run infrastructure at all? If not, ScrapeWise removes both layers. * Is cost the trigger? Per-request (Zyte) or pay-per-use (ScrapeWise) can beat per-GB for spiky workloads. The bottom line. Decodo is a good mid-priced proxy platform, but it stops at the access layer. Go to Bright Data or Oxylabs for more pool and scale, Zyte for scraping-as-an-API, or ScrapeWise if you'd rather skip proxies and scrapers entirely and just receive clean data. Paste a URL your current tool cannot reach. See why teams switch to ScrapeWise. 97% accuracy benchmark, no per-SKU pricing. 97% accuracy on Amazon benchmarks · no credit card · book a 15-min call