Compare EU country statistics with AI and MCP

Run the workflow

1. 1. Choose countries and a common year range

   Use exact EU27 Eurostat country codes, including EL for Greece. Request one to ten consecutive annual years from 1990 through the current year. Do not substitute different years for missing observations.

2. 2. Read one annual series

   Call eurostat_country_series for unemployment_rate, population_jan1 or gdp_current_eur. Retain the country, year, valueState, units, raw source status and flag labels. A missing observation is not zero.

3. 3. Build a same-year profile

   Call eurostat_country_profile for two or three indicators. The source requests run separately; preserve each dataset’s update timestamp. Unemployment is a percentage of the labour force aged 15–74, population is persons on 1 January and GDP is current-price million EUR.

4. 4. Return the comparison with source context

   Cite Eurostat dataset codes, source links and access dates. Disclose ToolCargo’s filtered projection and retain the statement that Eurostat is not responsible for this modified projection. Values and source flags can be revised; matching years do not make units interchangeable or establish causation.

What a useful result looks like

Country → year → indicator/dataset code → observed value or missing state → unit → flags → source update time → dataset link and access date → projection disclosure.

Know the limits

Three curated annual non-trade datasets and current EU27 countries only. No arbitrary dataset search, forecasts, real growth, PPP, population estimates from occurrence counts or cross-indicator composite scores. Each successful series or profile uses one shared-plan call; a profile reads its selected datasets sequentially without claiming an atomic snapshot.