Feed your models clean, large-scale web data. Rotating residential, datacenter, mobile and IPv6 proxies across a 100M+ IP pool, built for AI training pipelines, LLM scraping, and autonomous agents that do not get blocked. No enterprise minimums, no sales calls.
100M+ IPs New IP per request Sticky sessions for agents
The web is the largest training corpus there is. Collect it at scale without getting blocked, rate-limited, or geo-fenced.
Pull millions of pages for training sets and embeddings. A fresh IP per request keeps large crawls from tripping rate limits.
Residential and mobile IPs look like real users, so protected sources that block datacenter traffic stay open to your crawlers.
Target by country and city to gather region-specific language, pricing and content for multilingual and geo-aware models.
Sticky sessions hold one IP across a multi-step agent task, while rotating IPs isolate parallel jobs. Both in one plan.
Residential, datacenter, mobile and IPv6 from a single 100M+ pool. Match the proxy to the source without switching vendors.
One gateway endpoint over HTTPS and SOCKS5 plugs into your existing crawler, pipeline, or rotating proxy API in minutes.
Large language models and machine learning systems are only as good as the data behind them. Building a quality corpus means crawling huge numbers of pages across many sites, and most sources throttle or block repeated requests from a single IP. Routing your collection through a 100M+ pool with a new IP per request lets you gather training data at the volume modern models need, without the blocks that stall a single-IP crawler.
Whether you are assembling a fine-tuning set, refreshing a retrieval-augmented generation (RAG) index, or scraping real-time content for a search feature, the bottleneck is almost always access, not parsing. Our rotating proxies spread your requests across residential, datacenter, mobile and IPv6 IPs so protected and rate-limited sources stay reachable at scale. Pick datacenter for high-volume public data, residential or mobile for sources that block bots.
Autonomous agents browse, log in, and complete multi-step tasks, and they need IP behavior that matches. Use sticky sessions to keep the same IP across a single agent workflow so context and logins hold, and rotating IPs to isolate independent agents running in parallel. This rotating-plus-sticky split, in one plan, is what makes a proxy network practical for agentic and MCP-driven workflows rather than just bulk scraping.
Beyond text, teams collect images, prices, reviews, listings and structured data to build and benchmark models. The same gateway handles it: target the right country, choose the proxy type that fits the source, and let rotation keep large jobs running. From indie builders to ML teams priced out of enterprise contracts, you get the scale without a $500 minimum or a sales call.
All four types come in one plan, so you can match the proxy to the data source.
| AI job | Best proxy type | Why |
|---|---|---|
| High-volume public data | Datacenter | Fastest and most cost-efficient for sources that do not hard-block bots. |
| Protected / bot-blocking sites | Residential | Real home IPs pass anti-bot checks that reject datacenter traffic. |
| Highest-trust sources & apps | Mobile | Carrier IPs are the hardest to detect, ideal for the toughest targets. |
| Bulk, cost-sensitive crawling | IPv6 | Massive address space at the lowest cost for high-volume jobs. |
| Multi-step AI agents | Sticky | One stable IP per agent workflow keeps logins and context intact. |
Collect AI and LLM training data at scale with rotating and sticky proxies from a 100M+ pool. Residential, datacenter, mobile and IPv6, from $24.95/mo.