Cloud browser for AI agents: goal in, JSON out
An AI browser agent operates a real browser toward a goal you describe — navigate, click, paginate, read — and returns schema-valid JSON with an auditable trace of every step. Steps metered from $0.001, billed per task, never per browser-hour. In closed development: join the waitlist.
Schema-valid output · Auditable trace · Built on our residential network
task: "Collect the name, price and rating of every product listed under 'Grinders'." schema: { name: string, price: number, rating: number|null } → navigate /shop → click "Grinders" → paginate 1…4 → extract 38 rows ✓ 38/38 rows validate against schema # every step logged — the trace ships with the data
In closed development
Browser AI is being built on the network and pipeline that already serve the live APIs. Waitlist members get first access and launch pricing — and everything below describes the design, not a beta you can buy today.
Join the waitlistWhat is an AI browser agent?
An AI browser agent is a model-driven worker that operates a real browser toward a goal you state in plain language. Where a scraping API converts the page it is given, the agent decides what to do next: follow pagination, open detail panels, apply a filter, scroll a lazy list — then hand back the result as data, not screenshots.
The contract is the schema. You attach the JSON shape you need; the agent's output is validated against it before you are charged. And because model-driven workers make mistakes, every task ships with its trace — the pages visited and the actions taken — so provenance is checkable, not assumed. If a plain fetch can get your data, the scraping API is the cheaper tool; the agent exists for pages where data lives behind interaction.
When you need an agent — and when you don't
Pagination & infinite scroll
Listings that load page by page or on scroll. The agent walks all of them and merges the rows; a single fetch sees only page one.
Click-to-reveal content
Prices behind "show offer", specs inside accordions, details in modal panels — content that requires an action before it exists in the DOM.
Filtered views
Apply the site's own filters — category, region, date — and collect the filtered result, instead of downloading everything and re-filtering.
Multi-step flows
Data spread across a sequence — list page to detail page to spec tab — gathered into one schema-valid row per item.
Don't use it for static pages
If the content is in the HTML or appears on render, the scraping API at $0.0002 or a crawl at $0.0003/page is faster and cheaper. Honest routing saves you money.
Don't use it for logins & CAPTCHAs
The agent targets public content. It is not built to bypass logins, paywalls or CAPTCHAs, or to act on accounts — and we say so up front.
Ephemeral, sandboxed, traceable
Each task is designed to run in its own disposable browser context: no state carried between tasks, no credentials held, nothing to leak when the task ends and the context is destroyed. Sessions ride the same residential network as the rest of the platform, with country pinning so pages render for the market you chose.
Billing follows the platform's pay-per-success rule: a task that fails to produce schema-valid output is not charged. Steps are metered from $0.001 — there is no browser-hour meter running while a page loads, and final task pricing is published at launch, to waitlist members first.
What you can run today, while you wait
The stack under Browser AI is already in production and self-serve: the Web Scraping API with browser rendering and AI extraction, the SERP API across three engines, Crawl & Map for whole sites, and the MCP server that hands all of it to your own AI agent. Most "I need an agent" tasks decompose into those calls — and the Quantic AI pipeline orchestrates them from a single prompt. $1 of free usage every month, no card.
QuanticData vs typical agent infrastructure
| QuanticData Browser AI | Typical agent infra | |
|---|---|---|
| You provide | a goal and a JSON schema | orchestration code + prompts |
| Billing unit | steps from $0.001, per task | browser-hours or bundles |
| Idle time | never billed | the meter runs |
| Output | schema-validated JSON | raw pages or transcripts |
| Provenance | step trace with every task | bring your own logging |
| Network | residential exits included | proxy add-on, metered per GB |
What is an AI browser agent?
An AI browser agent is a model-driven worker that operates a real browser to reach a goal you describe in plain language — navigate, click, paginate, expand, read — and returns the outcome as structured data. Instead of scripting selectors and steps, you state what you want and the shape you want it in; the agent works out the steps.
How is a browser agent different from a scraping API?
A scraping API fetches a page and converts what is there. A browser agent interacts: it can follow pagination, open detail panels, apply filters and gather content that only appears through a sequence of actions. If a plain fetch gets your data, use the cheaper scraping API; the agent is for pages where the data lives behind interaction.
What does schema-valid JSON output mean?
You attach a JSON schema to the task. The agent's answer is validated against it before you are charged, so what arrives is not a transcript to parse but rows in exactly the shape your pipeline expects — every field present, every type right. Output that fails validation is the service's problem, not yours.
What is the auditable trace?
Every task returns a step log alongside the data: the pages visited and the actions taken. When a number looks wrong, you check where it came from instead of guessing — provenance is part of the product, the same source-URL discipline used across the other QuanticData APIs.
When does Browser AI launch?
It is in closed development — join the waitlist to get access when it opens. The stack underneath it is live today: the scraping, SERP, map, crawl and batch APIs and the residential network are all in production and self-serve, so you can build now and add agent tasks when they arrive.
How much will it cost?
Steps are metered from $0.001, and the pay-per-success rule applies: a task that fails to produce schema-valid output is not charged. Final task pricing is set at launch — waitlist members see it first. There is no browser-hour billing: idle time is our problem, not your invoice.
Can I use it today?
Not yet — that is what the waitlist is for, and we would rather be honest about it than sell you a beta as a product. If your data need is current, the live APIs cover most of it: scraping with rendering, SERP across three engines, whole-site crawling and AI extraction are all available now with $1 of free monthly usage.
What sites can the agent work on?
Public web pages. It is designed for legitimate data collection on content anyone can open in a browser — not for bypassing logins, paywalls or CAPTCHAs, and not for automating actions on accounts. Sessions run through residential exits with country pinning, so pages are seen from the market you choose.
How is each agent session isolated?
Sessions are designed to be ephemeral and sandboxed: each task runs in its own browser context, which is discarded when the task ends. The agent holds no credentials of yours, carries no state between tasks, and touches only the task it was given.
Will AI agents be able to call it through MCP?
Yes — that is the plan at launch: a browser-task tool in the QuanticData MCP server, next to search, scrape, map and crawl. An orchestrating agent will be able to delegate interaction-heavy pages to a browser worker the same way it already delegates a fetch, from the same server config.
Is automating a browser on public sites legal?
Accessing public pages by automated means is generally lawful in most jurisdictions, but sites' terms of service restrict automation and case law differs by country. The agent targets public content only; what you collect and how you use it remains your responsibility — get proper legal advice for your specific case.
Is there a free or open-source AI browser agent?
Yes, several — Nanobrowser, BrowserOS and Browser Use are open source, and running one locally costs you nothing but your own LLM key and machine time. They are a good fit for personal automation and for tinkering. What they leave to you is the hard part at scale: residential exits so pages load from the right market, retries when a run dies mid-task, concurrency, and output you can trust without re-reading it. Browser AI is the managed version of that: schema-validated output, an auditable trace and pay-per-success billing. If a local open-source agent covers your job, use it — genuinely.
Why a cloud browser instead of running my own?
A browser on your laptop is one IP, one machine and one thing that breaks while you sleep. A cloud browser for AI agents gives you the parts that are tedious to operate yourself: residential exits with country pinning, parallel sessions, and disposable contexts that leave nothing behind. You keep the orchestration; we keep the infrastructure. The trade-off is honest — if you run a handful of tasks a day on friendly sites, local is simpler and cheaper.
Be first when the agents open
Join the waitlist for first access and launch pricing — or start today with the live APIs and $1 free every month.
Join the Browser AI waitlist