NexGen Signal: Official Statistics and Public Records as Clean Data

Official statistics are some of the most trustworthy data there is, and some of the most awkward to use. Australia’s statistics bureau publishes in SDMX. Sweden’s uses a PxWeb table API. The UK’s Office for National Statistics has its own time-series format, the European Environment Agency has dozens of separate databases, and US agencies each do something different again. Before you can compare anything, someone has to learn every format.

NexGen Signal does that part. Each actor reads one official source and returns clean records — one row per observation or per record — with the source, the dataset, the licence and an attribution line on every row. It’s one of three NexGen stores on Apify, next to NexGenData and NexGenWatch (change feeds), with over 170 public actors, all priced per row.

What a row looks like

Two real rows from runs on September 25, 2026.

A single US flight, from US Airline On-Time Flight Records (Bureau of Transportation Statistics):

Every operated US domestic flight gets a row like this, which is what route-level delay analysis, airport benchmarking and travel-product pricing are built on.

An Australian inflation figure, from Australia CPI by Product & Month (Australian Bureau of Statistics):

How to read an official statistics row

The codes in that second row (measure 3, index 30002, region 50) are the ABS’s own. NexGen Signal keeps them exactly as published rather than guessing at a translation, so nothing is lost and every number can be traced back to the bureau’s own code lists. In practice you filter on the codes you care about once, and every later run lines up with the last. The same rule holds across the store: source codes kept word for word, plus a plain source name, dataset name and licence on every row, so you always know where a number came from and whether you can reuse it.

What’s in the store

• Prices, wages and the economy — inflation, wage and retail series from Australia’s ABS, Statistics Sweden and the UK’s ONS.
• Central banks and money — the Reserve Bank of Australia’s official exchange rates, the Bundesbank’s Bank Lending Survey, and Australian superannuation performance from APRA.
• EU environment and industry — the EU register of industrial facilities, the EU greenhouse-gas inventory, and records on air quality, groundwater, bathing water and protected sites. Useful for ESG work and site due diligence.
• US safety, weather and products — FDA 510(k) medical-device clearances, NOAA storm events with county, dates and damages, and ENERGY STAR certified products.
• Travel and development finance — US flight records (above), Eurostat air-passenger volumes, and the World Bank project pipeline.

What it costs

The actors linked on this page each list $0.05 per row on the live store as of September 25, 2026, with no separate start fee. You choose the filters — a country, a series, a date range — so you only pay for the rows you ask for. Prices can change; the store page always shows the current price before you run anything.

Who uses it

• Analysts and economists who want official series in one consistent shape instead of five file formats.
• ESG, risk and due-diligence teams who need regulator records they can cite, with the licence attached.
• Pricing and market-sizing work — passenger volumes, product registers, price indexes.
• Developers and AI builders feeding official data into dashboards, models and agents. The actors can be called from AI assistants such as Claude through Apify’s MCP server.

Browse all NexGen Signal actors →

Public records and official statistics only. Nothing on this page is investment or legal advice. Sample rows are shown as returned by the actors on the dates stated; each source’s own licence and attribution apply.