Economy

Economic indicators over time — inflation, unemployment, interest rates and housing from FRED, US federal debt and spending, and daily euro reference exchange rates.

Data from FRED, U.S. Treasury and ECB. See Economy for coverage, freshness and credits.

Your agent reaches these on Vistazo's MCP server, https://mcp.vistazo.ai/mcp, through search_tools and call_tool, as economy__<tool> — for example economy__search_series.

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Find FRED economic series by keyword (e.g. "unemployment rate", "30 year mortgage", "CPI" — the consumer price index). Returns {matches: [...]}, ranked, with id, title, units and frequency. Call this FIRST — every other tool takes an exact series id, and FRED holds ~800,000 of them. Several series share one title and differ only in frequency (GS10 is the monthly 10-year yield, DGS10 the daily one) or in seasonal adjustment (CPIAUCSL adjusted, CPIAUCNS not) — match the frequency to the chart's cadence and prefer the adjusted series for trend charts.

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One series' metadata — title, units, frequency, seasonal adjustment, and the span it covers. Use it to label an axis correctly and to check a series is measured the way you assume before charting it.

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The actual time series for one or more FRED series — one row per date with a column per series, chart-ready as a line. US macro: CPI (the consumer price index, inflation), unemployment, MARKET interest rates and Treasury yields, the yield curve, housing. Monthly series are dated the first of the month. A missing observation comes back as null, not zero, so a chart draws a gap rather than a plunge. Not this tool: the rate the government pays on its own debt is interest_rates, the debt itself is national_debt, and exchange rates are exchange_rate (daily ECB rates).

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U.S. national debt — total public debt outstanding with the public vs. intragovernmental split ({date, total_debt, public_debt, intragov_debt}, whole USD). Daily by default; interval="monthly" returns one row per month (the last reading of each month, so the current month is a partial row dated its latest reading — end the range at the last month-end to leave it out) for charting beside monthly series. Chart as a trend line, or the split as a stacked area. Defaults to the trailing year.

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Monthly federal receipts vs. outlays and the resulting deficit/surplus — one row per month ({date, receipts, outlays, deficit, surplus}, whole USD), dated the last day of the month. Chart receipts + outlays as two lines, or the balance as bars. deficit is positive when outlays exceeded receipts; surplus is its negation. Defaults to the trailing ~2 years.

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Where federal money comes from and where it goes, by category, for a U.S. FISCAL year (October–September, named for the year it ends: FY2025 = Oct 2024–Sep 2025), from the Monthly Treasury Statement. breakdown: "receipts_by_source" (individual income taxes, corporation income taxes, social insurance and retirement, excise, customs, estate and gift, miscellaneous), "outlays_by_function" (national defense, health, Medicare, income security, Social Security, net interest, …) or "outlays_by_agency" (each department's net outlays). Omit fiscal_year for the latest COMPLETE fiscal year — "the latest fiscal year" is one call; pass the current one for year-to-date through the latest published month (complete and through say which). interval "fiscal_year_to_date" (default) returns one row per category with the year-to-date total; "monthly" returns each month's own amount. Rows {fiscal_year, period (YYYY-MM), record_date (the LAST day of that month), category, parent, is_total, fytd, amount} in whole USD, net of refunds and offsetting receipts, so a few outlay lines are negative. Rows with parent null and is_total false sum to the is_total row; a row with a parent is a sub-line of that category — leave it out of a pie or a sum. Data from FY2015. Not this tool: monthly receipts/outlays/deficit totals are spending_and_revenue; calendar-year national-accounts views (BEA, on FRED) are search_series; market yields are series_observations.

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Monthly average interest rates the U.S. PAYS on its outstanding debt, by security type — the fiscal cost of the debt, not a market yield (for Treasury yields use series_observations with DGS10 / GS10). One row per month, dated the last day of the month, with a percent column per selected security (Treasury Bills, Notes, Bonds, …). Chart as multi-series lines. Security names must match exactly; a name that matches nothing comes back in unmatched beside the names Treasury does publish. Defaults to Bills/Notes/Bonds over the trailing ~3 years.

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Daily currency exchange-rate time series over a date range — one row per day with a numeric column per target currency, ready to chart as multi-series lines. European Central Bank reference rates (per working day, back to 1999). Rates are quoted per 1 unit of base: for "EUR to USD" (dollars per euro, ~1.1) pass base "EUR", symbols ["USD"] — base "USD", symbols ["EUR"] is the reciprocal (~0.9). One base per call, so two pairs quoted against USD are two calls, or one call with base "USD" inverted in the transform — each call names its column by the symbol (USD both times), so rename by base before joining them. Defaults: base USD, a basket of majors, the trailing year. Weekends/holidays are omitted.

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The most recent exchange rates for a base currency against many currencies — one row per currency ({currency, rate}), good for a bar chart or snapshot table. Quoted per 1 unit of base: for "EUR to USD" pass base "EUR", symbols ["USD"]. Default base USD.

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List the supported currencies as {currencies: [{code, name}]} — the 30+ ECB reference currencies. Use to validate a code or populate a currency picker.