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...

Asking prices are easy to find and sold prices are the ones that matter. These sources carry both, with the identifiers that join a listing to publ...

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