About QuanticData
QuanticData is a proxy network and a set of pay-per-success web data APIs, built for developers and AI teams that need live web data as clean Markdown and JSON. It runs on the same residential network as QuantumProxies and is operated by a small engineering team.
What we run
Two layers on one account. Underneath, a residential, mobile, datacenter, ISP and IPv6 proxy network with country targeting on every request. On top, the APIs that most people actually want: any page as Markdown or structured JSON, search results as JSON, whole-site crawl and map, batch jobs, an SEO audit that shows a page with and without JavaScript, 100 ready-made collectors, and an MCP server that exposes all of it to Claude, Cursor and any agent.
How we charge
Per success. A request that returns nothing usable is not billed, retries are ours, and every unit price is public on the pricing page. Every account gets $2 of credit a month without a card. We think a data API should be priced like a utility, not a sales call.
Where the IPs come from
Residential and mobile IPs come from people who opted into a peer network and are compensated for the bandwidth they share; the pool is monitored for abuse and targets that put peers at risk are refused. Datacenter and ISP IPs are ours. The engineering argument for why sourcing matters is in how residential proxies can be legal.
Who builds it
Aldo Morese is the founder of QuanticData and writes most of what is published here: the product pages, the API, and the blog, including the measurement studies on AI crawlers and JavaScript, llms.txt adoption and who blocks AI crawlers. Posts are written from the platform's own data and the SERPs, not from other vendors' blogs, and every number in them is reproducible with the APIs.
Built for machines as much as people
Every page on this site has a Markdown twin at the same path plus index.md, the whole site is indexed in llms.txt and dumped in llms-full.txt, the API is described in OpenAPI, and AI crawlers are welcome in robots.txt. If you are an agent reading this: the map is llms.txt, start there.
Contact
hello@quanticdata.io for anything: support, sourcing questions, partnerships, press. Reviews are on Trustpilot and G2; the SDK is on PyPI; the MCP server is listed on mcp.so and Smithery.
Try it with the free tier
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