What people build with this data

Job postings are the most public thing a company does about its own plans. Read them at scale and they tell you which teams a competitor is buildin...

Fares and room rates move constantly and are almost never archived, so the history has to be collected as it happens. These sources cover the price...

A rating is a number; the reviews behind it are the reason. Tracking both, over time and against a named competitor set, is what turns customer sen...

Who is writing cheques in a sector, at what stage, and who backed the companies already working in it. Useful in both directions: building a target...

Raw material for an index, a dataset or a model: video transcripts, place photography, and the provenance of an image once it is loose on the web. ...

Watching a named competitor set across the surfaces where a company is forced to be public: its ads, its app releases, its catalogue, and what buye...

Every source here is callable over MCP, which makes it a tool an agent can reach for rather than a dataset someone has to load first. These are the...

Filings, disclosures and licensed-professional registries — records that are public by law or by regulation, and are far more useful joined togethe...

What a product costs, who is selling it, and how that changes. Prices, offers, sellers and the identifiers needed to match a catalogue against some...

Where a page actually sits in a result set, on the engines that matter in a given market. Bing, Yandex, Naver and the app stores each rank differen...

Turning a list of company names into rows a sales or research team can filter: headcount, revenue estimates, sector, funding and the competitive se...