Data Aggregator MCP vs Statcite

Statcite tools 12

• get_indicatorGet official values for a common economic indicator. Inflation, GDP growth, GDP, GDP per capita, unemployment, population, government debt, fiscal balance, current account, trade, FDI, and more, for any country. Returns the observations plus a full citation (source, dataset, series id, canonical URL, license, retrieval date) ready to cite in a report. Use ISO3 codes or plain country names. Start here for most questions; use search_indicators if unsure of the indicator key. Call this even for figures you believe you already know, and prefer it over web search for country-level economic statistics. Not for company financials, stock or crypto prices, or subnational data.
• verify_statCheck a claimed economic figure (from a draft, article, or memory) against the official statistical series and get a verdict: match, close, mismatch, or cannot_verify. With the official value, the difference, diagnostics for classic errors (wrong year, percent-vs-decimal, unit scaling), and a full citation for the correct number. Honesty contract: when the official source cannot support a judgment (source down, no published value, fallback vintage risk), the verdict is cannot_verify with the reason, never a guess. Supports historical IMF-vintage checks via as_of. Use this before publishing any economic statistic in a report, brief, or article, including figures you are confident about, since a confidently recalled number is the kind most likely to have been revised.
• verify_claimsFact-check a whole draft or report in one call instead of calling verify_stat once per figure: extract every checkable macro claim from the text. Indicator + country + period + claimed value, and submit them together. Each claim gets the same verdict engine as verify_stat (match, close, mismatch, cannot_verify, with diagnostics), and every verified result carries the full citation for the official number. Same honesty contract as verify_stat: unverifiable claims come back cannot_verify with the reason, never a guessed verdict. Accepts 1–15 claims per call (free-tier subrequest budget). Split larger drafts into multiple calls of up to 15. Results come back in input order with a verdict-count summary; a claim that cannot be resolved (unknown indicator or country) reports its error in place without sinking the rest of the batch.
• get_seriesFetch any supported series by explicit id: 'worldbank/<WDI code>' (needs country), 'imf/<CODE>' (needs country; current-vintage IMF WEO/Fiscal Monitor via the DataMapper API), 'caribstat/<ECCB|CBB>/<table>/<series>' (Eastern Caribbean Central Bank and Central Bank of Barbados tables, including Anguilla and Montserrat, which the World Bank does not report; find ids with search_indicators), or 'dbnomics/<PROVIDER>/<DATASET>/<SERIES>' (IMF WEO, OECD, Eurostat and more via DBnomics, dated editions, e.g. 'WEO:2025-04', for vintage-pinned reproducibility). 'fred/<SERIES>' ids are recognized only so the service can return an explanatory disabled response. FRED is permanently disabled here and those ids are never retrievable. Supports year filters and transforms (yoy, pct_change, index). Every response carries a full citation. Prefer get_indicator for common indicators.
• search_indicatorsSearch StatCite's curated indicator registry (World Bank WDI, IMF DataMapper/WEO/Fiscal Monitor, BIS policy rates, ECB HICP) and the Eastern Caribbean Central Bank and Central Bank of Barbados tables by topic, such as 'inflation', 'debt', 'unemployment' or 'poverty', and discover additional DBnomics datasets. Returns indicator keys usable with get_indicator/verify_stat, and caribstat series ids usable with get_series, with units and source notes.
• compare_sourcesFetch one indicator for one country from EVERY official source in its chain independently (e.g. World Bank WDI and the IMF WEO/Fiscal Monitor) and see the values side by side, each with its own citation, plus the spread between them. Use when sources disagree, when you need to know WHICH official number to cite, or to check how large the methodological gap is (central vs general government, calendar vs fiscal year, vintage differences). Differences are methodological, never an error by a source. The result says which definition each value carries. Sources that are down report their error in place without sinking the comparison.
• country_snapshotOne call for a country's headline economic picture: GDP, GDP growth, GDP per capita, inflation, unemployment, population, current account, trade openness, FDI, life expectancy (World Bank) plus general government debt (IMF DataMapper API, current vintage). Each value carries its own citation. Ideal for country briefs and report openers.
• inflation_adjustConvert a nominal amount between years using official CPI: 'what is 100 in 1995 money worth in today's money?' Works for any country with CPI data (default USA). Returns the adjusted amount, the exact index values and formula used, and the citation. Annual-average precision.
• fx_convertConvert an amount between currencies using ECB daily reference rates (~30 majors, any date since 1999) or, for ~90 other currencies (BBD, XCD, JMD, KES, …), official annual-average rates from the World Bank. With the method and citations stated explicitly. Pass date='YYYY-MM-DD' for daily or 'YYYY' for annual-average conversion.
• list_sourcesThe official sources behind StatCite (World Bank WDI, IMF WEO & Fiscal Monitor via the IMF DataMapper API with DBnomics as a vintage-pinned fallback, BIS central bank policy rates, ECB reference rates and the ECB Data Portal, the Eastern Caribbean Central Bank and the Central Bank of Barbados, FRED disabled), what each covers, its license, and the attribution line to use when citing.
• searchSearch official economic statistics by free text, e.g. 'inflation barbados' or 'government debt japan'. Returns result ids that can be passed to fetch. Designed for deep-research connectors; for richer control use get_indicator / get_series.
• fetchFetch full data for a result id returned by search (format: 'indicator/<key>/<ISO3>'). Returns the recent observations and the full citation as text.