Automating web tasks at scale, when doing it wrong is not an option.

CROspector is SHORA's deterministic web capture engine. It records how a retailer's page is structured once — under human review, on a live page exactly as a shopper sees it — and then replays that recording to read every page of the same kind, the same way, every time. No language model and no human reviewer in the read path. Built on record-replay research from a PhD at INRIA.

A scraper binds to surface selectors and breaks when the page is restyled. An LLM extractor re-guesses what each element means on every page from frozen weights — expensive and silently drifting. CROspector binds to the structural intent of the page, not its surface appearance, so it reads through content changes and redesigns without re-recording, and it fails loudly with evidence rather than returning confidently wrong data.

Three numbers your existing tooling does not produce: (1) your wasted-spend number — the euros of paid traffic landing on products shoppers cannot actually buy; (2) your competitors' outage windows — the hours a rival's promoted bestseller cannot be bought, when your listing captures a higher share of redistributed demand; and (3) feed-vs-page-vs-checkout agreement, surfaced before Google's 28-day disapproval clock starts.

Google's crawler reads the raw HTML your server returns before JavaScript runs; if your final price is injected by JavaScript a moment later, the crawler records the wrong price and can preemptively disapprove the item — and Google keeps no copy of the page state that triggered it. CROspector reads each page both ways — as the crawler reads it and as a shopper reads it — and surfaces the SKUs where those diverge, with the page captured as evidence, before the 28-day clock starts.

Tag-based analytics watch behavior from inside your own site and see only the sessions that consented to tracking — in the EU, when "Reject All" sits on equal footing with "Accept All," roughly 60% of users reject. CROspector is an outside-in instrument: it visits your store the way a shopper does, meets the consent banner, and records what actually happens, including the difference between the accepted and rejected paths.

Two ways at once. It is about one-tenth the cost per completed web task — there is no language model in the read path, so no per-page inference bill. And unlike an AI agent, it cannot be silently, confidently wrong: when it can read a page it reads it the same way every time, and when it cannot, it stops and shows you the page instead of inventing an answer. Cheaper is the easy half; never lying to a decision that costs you money is the half that matters.

Retailers that buy meaningful paid traffic against a catalog they want to sell — teams running paid media, e-commerce, or pricing where the same pages have to be read correctly tens of thousands of times a month, and where reading a field wrong costs revenue, compliance, or reputation. If your paid traffic never lands on a dead end and your competitors never stock out, you do not need it.