CurrencyCore

Quality 89 / 100new

14 tools, about 5,112 tokens to load them all · tool set 3a4d56c26f3a · tools last changed 2026-11-11 · checked 2026-11-14 07:03 UTC

Tool changes

• 2026-11-11analyze_mean_reversionchangedtitle, description, output schemameaning changed
  before

  Ranks currencies by how strongly they revert to their mean (crossing frequency + reversion half-life). Growth plan or higher.

  after · 21% of words in common

  Rank currencies by how strongly they revert to their historical mean, using a composite 0–100 score (crossing frequency + reversion half-life), plus current deviation and half-life in days. Use for questions like "does EUR snap back to its average". Provide `currencies` to score specific codes, or omit to rank the liquid set. Use `analyze_history` for raw change and `analyze_volatility` for dispersion. Defaults: roughly a 2-year window, `base` USD, `limit` 10. Returns `{ base, from, to, results[] }`; `score` and `halfLifeDays` are null when there is not enough reverting data. Requires a signed-in connection and the Growth plan or higher; each successful call bills 1 API request.

• 2026-11-11analyze_safe_havenchangedtitle, description, output schemameaning changed
  before

  Ranks currencies by a composite safe-haven score (low volatility + shallow drawdown + 2008-crisis resilience). Growth plan or higher.

  after · 20% of words in common

  Rank currencies by a 0–100 safe-haven score that combines low volatility, shallow drawdown, and 2008-crisis resilience. Use for "which currency holds up in a crisis" questions. Provide `currencies` to score specific codes, or omit to rank the liquid-fiat pool. Precious metals are not supported. Use `analyze_volatility` for pure dispersion and `analyze_drawdown` for peak-to-trough loss. Defaults: window from 2007-01-01 (or 20 years before `to`), `base` USD, `limit` 10. Returns `{ base, from, to, crisis, results[] }`. Returns an error when no rate data is available for the window. Requires a signed-in connection and the Growth plan or higher; each successful call bills 1 API request.

• 2026-11-11analyze_drawdownchangedtitle, description, input schema, output schemameaning changed
  before

  Maximum peak-to-trough decline vs a base (with peak/trough/recovery), or a drawdown ranking. Growth plan or higher.

  after · 17% of words in common

  Return the worst peak-to-trough decline of each currency vs `base`, with peak, trough, and recovery dates/days. Use for "how far did it fall and did it recover" questions or to rank the deepest drawdowns. Omit `currency` to rank the universe (`sort` deepest or recovery); provide one currency or a list to compare. Use `analyze_volatility` for dispersion and `analyze_safe_haven` for crisis behaviour. Defaults: 365-day window, `base` USD, `sort` deepest, `universe` liquid, `limit` 10. Returns `{ base, from, to, mode, results[] }`; peak/trough dates are omitted and recovery fields are null when there is no drawdown or recovery in the window. Requires a signed-in connection and the Growth plan or higher; each successful call bills 1 API request.

• 2026-11-11analyze_correlationchangedtitle, description, output schemameaning changed
  before

  Correlation of each currency's daily returns with a base currency's, over a window. Growth plan or higher.

  after · 22% of words in common

  Return the Pearson correlation of each currency's daily returns with `base` over a window (−1..1), plus the number of overlapping observations. Use for diversification or co-movement questions such as "does CHF track EUR?". `currencies` is required and comma-separated; a non-USD `base` is usually more meaningful. Use `analyze_volatility` for dispersion and `analyze_history` for raw change. Defaults: 365-day window ending today. Returns `{ base, from, to, results[] }`; `correlation` is null when it is undefined for the window. Requires a signed-in connection and the Growth plan or higher; each successful call bills 1 API request.

• 2026-11-11analyze_volatilitychangedtitle, description, input schema, output schemameaning changed
  before

  Annualized volatility of a currency vs a base, or a stability ranking of the liquid currencies. Growth plan or higher.

  after · 16% of words in common

  Return annualized volatility (%) for each currency against `base`, with the number of daily returns used. Use to rank stability or find the most volatile currency or pair. Omit `currency` to rank the universe (`sort` stable or volatile); provide one currency or a comma-separated list to compare. Use `analyze_drawdown` for worst peak-to-trough loss and `analyze_safe_haven` for crisis resilience. Defaults: 365-day window, `base` USD, `sort` stable, `universe` liquid, `limit` 10. Returns `{ base, from, to, mode, basis, results[] }`; `volatility` is null when there is too little data. Requires a signed-in connection and the Growth plan or higher; each successful call bills 1 API request.

• 2026-11-11analyze_pppchangedtitle, description, input schema, output schemameaning changed
  before

  PPP over time: how a country's purchasing-power-parity factor changed, comparing countries, or 'movers'. Growth plan or higher.

  after · 18% of words in common

  Measure how a country's IMF PPP conversion factor changed over a year window: start/end year and factor, % change, and optional min/max/avg. Use for purchasing-power trends and cross-country PPP rankings. Omit `countries` to rank all countries (movers); provide ISO alpha-3 codes to compare specific ones. Use `get_ppp_factor` for a single country/year value, and `convert` with `ppp=true` to price an amount. Defaults: 10-year window, `sort` increased, `limit` 10, `stats` true. Returns `{ from, to, mode, stats, results[] }`, with `projected: true` marking an IMF projection. Returns an error when no PPP data exists in the window. Requires a signed-in connection and the Growth plan or higher; each successful call bills 1 API request.

• 2026-11-11get_ppp_factorchangedtitle, description, output schemameaning changed
  before

  A single country's purchasing-power-parity conversion factor for a year (IMF World Economic Outlook).

  after · 13% of words in common

  Return the IMF World Economic Outlook PPP conversion factor for one country and year: local currency units per international dollar. Use when the user needs the raw multiplier for one country/year, for example a cost-of-living comparison. Use `convert` with `ppp=true` to price an amount, and `analyze_ppp` for change over time or a cross-country ranking. `year` defaults to the latest configured PPP year (2024). Returns `{ year, countryCode, pppFactor, projected }`; `projected: true` marks an IMF projection rather than observed data. An unknown country or year is a 404. Requires a signed-in connection; each successful call bills 1 API request.

• 2026-11-11analyze_historychangedtitle, description, input schema, output schemameaning changed
  before

  Trends, comparisons & 'movers': % change, strength, and min/max/avg over a window. Growth plan or higher.

  after · 14% of words in common

  Summarise how currencies moved against `base` over a window: start/end rate, change %, strengthened % (positive = stronger vs base), and optional min/max/avg. Use for questions like "how did EUR do over 10 years" and for movers rankings. Omit `currencies` to rank the universe (movers mode); provide them to compare specific ones. Use `get_history` for raw points, and the other `analyze_*` tools for volatility, correlation, drawdown, safe-haven, or mean-reversion questions. Defaults: 20-year window, `base` USD, `sort` strengthened, `assetClass` fiat, `limit` 10, `stats` true. Returns `{ base, from, to, mode, sort?, assetClass?, stats, results[] }`. A 404 means no rate data at the window edges. Requires a signed-in connection and the Growth plan or higher; each successful call bills 1 API request.

• 2026-11-11get_historychangedtitle, description, input schema, output schemameaning changed
  before

  A single currency's daily rate time series over a date range. Free: last 30 days; Starter and above: full history.

  after · 19% of words in common

  Return one currency's rate series over a date range, expressed against `base`: `rates` maps each date (or aggregated period) to units of `currency` per 1 `base`. Use for a line chart or raw daily/weekly/monthly/yearly points for one currency. Use `analyze_history` for computed change, trend, and movers; use `convert` or `get_rates` for a single value or snapshot. Defaults: `to` today, `from` 7 days earlier, `base` USD, `interval` daily; coarser intervals average the daily rates per bucket. Returns `{ currency, base, interval, from, to, rates }`. Free plans are limited to the last 30 days; an invalid code or missing history is a 404. Requires a signed-in connection; each successful call bills 1 API request.

• 2026-11-11get_rates_by_basechangedtitle, description, output schemameaning changed
  before

  The same snapshot re-expressed against any base currency.

  after · 7% of words in common

  Return the daily FX snapshot re-based to `base`: every supported currency quoted as units per 1 unit of `base`, with `base` itself at 1. Use when the user wants a multi-currency table in a non-USD base (for example "rates in EUR"). Use `get_rates` for the USD table, `convert` for one pair or amount, and `get_history` for a time series. Omitting `date` returns the latest available snapshot, which is not necessarily today. Returns `{ base, date, rates }`; an unsupported base or a date with no snapshot is a 404. Requires a signed-in connection; each successful call bills 1 API request.

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