#macro

A gateway to the official Statistics Sweden (SCB) PxWeb data service. Read the latest headline Consumer Price Index and fetch the latest time-series observations for any of the thousands of SCB statistics tables by table path and dimension selections — consumer prices, population, the labour market, national accounts, housing and much more. Every observation carries its reference period, and values always resolve to the latest published release, so there are no dates to hard-code. Built for Swedish macro research, CPI and inflation tracking, and SEK currency or rates models that need authoritative national statistics. Distinct from our OECD, Statistics Canada, ABS and Statistics Norway feeds, and from central-bank FX feeds: this surfaces the official SCB data service for Sweden.

api.oanor.com/scb-api

A gateway to the official Statistics Norway (SSB) PxWeb data service. Read the latest headline Consumer Price Index (2015=100) and fetch the latest time-series observations for any of the thousands of SSB statistics tables by table id and dimension selections — consumer prices, the producer price index, GDP, the labour market, population, housing and much more. Every observation carries its reference period, and values always resolve to the latest published release, so there are no dates to hard-code. Built for Norwegian macro research, CPI and inflation tracking, and NOK currency or rates models that need authoritative national statistics. Distinct from our OECD cross-country indicators, Statistics Canada and ABS feeds, and from central-bank FX feeds: this surfaces the official SSB data service for Norway.

api.oanor.com/ssb-api

A gateway to the official Australian Bureau of Statistics (ABS) SDMX data service. Read the latest headline Consumer Price Index, browse and search the 1,200-plus ABS statistical dataflows by id or name, and fetch the latest observations for any ABS series by its dataflow id and SDMX series key with as many recent periods as you need. Every observation carries its reference period, and values always resolve to the latest published release, so there are no dates to hard-code. Built for Australian macro research, CPI and inflation tracking, and AUD currency or rates models that need authoritative national statistics. Distinct from our OECD cross-country indicators and Statistics Canada feed: this surfaces the official ABS data service for Australia.

api.oanor.com/abs-api

Key Canadian economic indicators from the official Statistics Canada Web Data Service. Pull the Consumer Price Index, the seasonally-adjusted unemployment rate, monthly real GDP, the Bank of Canada policy rate and the national population estimate — look up a single indicator, read a full country snapshot with all of them at once, or fetch the raw time series for any Statistics Canada vector by its id (with as many recent periods as you need). Every value carries the indicator label, its unit and the exact reference period, and always resolves to the latest published observation, so there are no dates to hard-code. Built for dashboards, macro research and CAD currency or rates models that need authoritative Canadian data. Distinct from market and FX feeds, and from our OECD cross-country indicators: this surfaces official Statistics Canada figures.

api.oanor.com/statcan-api

Key macroeconomic indicators for the 38 OECD member countries, sourced from the official OECD SDMX data service. Pull the harmonised unemployment rate, the consumer price index and the long-term (10-year government bond) interest rate for any member country, look up a single indicator for one country, or read a full country snapshot with all indicators at once. Every value carries the indicator label, its unit and the exact period it refers to, and always resolves to the latest published observation — no date juggling. Coverage spans Australia to the United States, with the United Kingdom, Germany, Japan, France and every other OECD member in between. Built for dashboards, macro research and currency or rates models that need authoritative, comparable cross-country economic data. Distinct from market and FX feeds: this surfaces official OECD statistics.

api.oanor.com/oecd-api

The stock of external wealth — how much each economy owns abroad versus how much the rest of the world owns of it, live from the OECD's official balance-of-payments statistics, no key. Where the current account is the yearly flow of external lending or borrowing, the net international investment position (Net IIP) is the accumulated stock those flows pile up into: a country running persistent surpluses builds a large positive Net IIP and becomes a net creditor to the world (Norway, Japan, Germany, Switzerland), while persistent deficits build a large negative one — a net debtor, like the United States. The Net IIP is one of the deepest gauges of external sustainability and a structural anchor for a currency: a big positive position earns net income on foreign assets and is a buffer in a crisis, while a large negative one leaves a currency exposed to the willingness of foreigners to keep funding it. The board endpoint ranks economies by their Net IIP as a share of GDP — the size-neutral cross-country screen — from biggest net creditors to biggest net debtors. The gross endpoint ranks by gross external assets as a share of GDP, a measure of financial openness and international integration where small financial hubs tower with foreign assets worth multiples of GDP. The country endpoint gives one economy's full external balance sheet: the Net IIP in dollars and as a share of GDP, its gross foreign assets and liabilities, and the net position broken down by function — direct investment, portfolio investment, other investment and reserve assets, which sum to the net position — with a plain-language read. Each reading carries its own quarter and discontinued series are filtered out. This is the external-stock / net-foreign-wealth cut — the companion to, and distinct from, the current-account balance (the yearly flow, not the accumulated stock), trade growth, and the gross-government-debt and debt-service feeds (public-sector domestic debt, not the whole economy's external position). Positions are in billions of US dollars and percent of GDP; figures are quarterly end-of-period stocks.

api.oanor.com/netiip-api

Whether each economy earns more from the rest of the world than it spends — the current-account balance, live from the OECD's official balance-of-payments statistics, no key. The current account is the single most important external-balance number in macro: it nets a country's trade in goods and services, its cross-border investment income, and its transfers into one figure. A surplus means the economy is a net lender to the world and is accumulating foreign claims; a deficit means it is a net borrower, financing its spending with foreign capital. Persistent current-account positions are one of the deepest drivers of exchange rates — surplus currencies (the yen, the euro-area core, the Nordics) tend to be structurally supported, while large-deficit currencies depend on continued capital inflows and are vulnerable when risk appetite turns. The board endpoint ranks economies by their current-account balance as a share of GDP — the size-neutral cross-country screen — from biggest surpluses to biggest deficits. The goods endpoint ranks by the merchandise (goods) trade balance as a share of GDP, separating the trade story from services and income. The country endpoint gives one economy's full external decomposition: the headline balance as a share of GDP, the goods / services / primary-income / secondary-income balances in US dollars (which sum exactly to the current account) and as shares of GDP, the six-quarter trend, and a plain-language read of whether the position is improving or deteriorating and what drives it. Each reading carries its own quarter and discontinued series are filtered out. This is the external-balance / balance-of-payments cut — distinct from trade growth (real export and import growth rates, the flow of volumes, not the net balance), and from the inflation, labour-cost and confidence feeds. The headline is percent of GDP; the decomposition is in billions of US dollars per quarter and percent of GDP; figures are quarterly, seasonally adjusted.

api.oanor.com/currentaccount-api

The headline consumer-price inflation print for every major economy, broken into its core and its drivers, live from the OECD's official price statistics — no key. Consumer-price inflation is the single most-watched macro number on earth: the gauge every central bank targets, the thing that sets the real value of wages, debts and savings, and a number whose surprises move bonds, currencies and equities within seconds. This API serves the year-on-year national CPI the way it is actually reported, for ~50 economies — and crucially it does not stop at the headline. For each economy it also serves the core rate (all items excluding food and energy, the measure policymakers really steer by), plus the food, energy and services rates themselves. That decomposition tells you whether a reading is a temporary food/energy shock or a stickier, demand-driven core problem: headline above core means volatile food/energy are pushing prices up; headline below core means they are dragging the print down while underlying inflation stays hot. The board endpoint ranks economies by headline inflation with core alongside; core ranks by the core rate; country gives one economy's full breakdown with the headline-vs-core read. Each reading carries its own month and discontinued series are filtered out, so the board is genuinely current. This is the realised-inflation cut — distinct from the inflation calculator (arithmetic from a rate you supply, not live data), from consumer inflation expectations (a survey of what households think prices will do, not what they did), and from unit labour costs and wages. Rates are percent year-on-year; figures are monthly.

api.oanor.com/cpiinflation-api

Unit labour costs, wages and productivity — the labour-cost side of inflation and competitiveness, on one comparable screen, from the OECD's official productivity statistics as an API, live, no key. Wages, productivity and unit labour costs are bound by a simple identity: unit labour cost growth is roughly wage growth minus productivity growth. When pay rises faster than output per worker, the extra cost has to go somewhere — into prices or into margins — which is why unit labour costs are one of the indicators central banks watch most closely for home-grown (second-round) inflation, and why a country whose unit labour costs run ahead of its trading partners loses competitiveness. The OECD harmonises and seasonally adjusts the figures so they are comparable across economies. This API serves the year-on-year growth of all three: unit labour costs, labour compensation per employee (the clean per-worker wage measure) and labour productivity (GDP per person employed). The board endpoint ranks every economy by unit-labour-cost growth — where labour-cost pressure is building fastest — with wages and productivity alongside. The wages endpoint ranks by wage growth, the gauge of pay pressure. The country endpoint gives one economy's three figures with the wage-minus-productivity decomposition of its unit labour costs. Each reading carries its own quarter and discontinued series are excluded, so the board is genuinely current. The labour-cost / wage-inflation cut — distinct from the realised-inflation feeds, the employment and unemployment boards (counts and rates, not costs), and the generic multi-provider data aggregator. Figures are quarterly year-on-year, in percent.

api.oanor.com/labourcosts-api

What households in each economy expect for prices and for the wider economy — the OECD consumer surveys as an API, live, no key. Every month consumers are asked whether they expect prices to rise faster or slower over the year ahead, and whether they think the general economic situation will improve or worsen. The OECD harmonises the answers into balances — the share answering up/better minus the share answering down/worse, on a scale around zero. Consumer inflation expectations are one of the most closely watched soft indicators in central banking: if households start expecting higher inflation, they bring forward purchases and demand higher wages, which can make inflation self-fulfilling, so policymakers track whether expectations stay anchored. The economic-situation balance is the household read on where the economy is heading, and it leads consumer spending. The inflation endpoint ranks every economy by its consumer inflation-expectations balance — where households most expect prices to climb. The economy endpoint ranks by the economic-situation outlook. The country endpoint gives one economy's inflation and economic-situation balances side by side with the month-on-month change. Each reading carries its own month and discontinued series are excluded, so the board is genuinely current. The consumer-survey / inflation-expectations cut — distinct from the composite Business & Consumer Confidence board (which gives only the headline confidence index, not the inflation-expectations component), the manufacturing business-survey board, the realised-inflation feeds, and the generic multi-provider data aggregator. Balances are in percentage points; figures are monthly.

api.oanor.com/consumersurvey-api

What manufacturers in each economy are actually reporting about their order books, output, prices, exports and hiring — the OECD business tendency surveys as an API, live, no key. Every month national statistics offices ask factory managers whether order books are full or thin, whether they expect to raise or cut production, whether they plan to put prices up, whether export demand is strong, and whether they will hire or fire. The OECD harmonises the answers into balances — the share answering up/good minus the share answering down/bad, on a scale around zero (positive = expansion/optimism, negative = contraction/pessimism). These survey balances are pure soft data that move before the hard numbers, which is why they are watched as one of the earliest reads on the manufacturing cycle — and the selling-price balance, in particular, is a leading signal of pipeline inflation. This API exposes the manufacturing survey components themselves, not just the composite confidence index: order books (current demand), production expectations, selling-price expectations, employment expectations and export order books. The country endpoint returns one economy's full survey panel with the month-on-month change in each balance. The orderbooks endpoint ranks every economy by its order-books balance (who has the fullest order books right now). The sellingprices endpoint ranks by the selling-price balance — the pipeline-inflation gauge, where firms are planning the biggest price rises. Each reading carries its own month and discontinued series are excluded, so the board is genuinely current. The business-survey-components cut — distinct from the composite Business & Consumer Confidence board (which gives only the headline index), the leading-indicator board, and the generic multi-provider data aggregator. Balances are in percentage points; figures are monthly.

api.oanor.com/businesssurvey-api

Which parts of each economy are actually driving growth — real GDP growth broken down by economic sector, from the OECD's official Quarterly National Accounts as an API, live, no key. Headline GDP growth is one number, but it hides the story: whether the expansion is being carried by services, by industry, by construction or by agriculture, and which sector is dragging. Gross value added by economic activity decomposes real GDP into those sectors, so you can see, for any economy, that (say) services are growing while industry is in recession. It is the read economists and equity-sector investors use to understand the shape of the cycle, not just its size. The OECD harmonises and seasonally adjusts the real, chain-linked-volume figures so they are comparable across countries. This API computes the quarter-on-quarter and year-on-year growth of real gross value added in four sectors — services, industry (excluding construction), construction and agriculture. The country endpoint gives one economy's sector breakdown side by side and flags the leading and lagging sector. The services endpoint ranks every economy by services value-added growth (the largest sector in advanced economies); the industry endpoint ranks by industry value-added growth (the most cyclical). Each reading carries its own quarter and discontinued series are excluded, so the board is genuinely current. The sectoral-GDP / value-added cut — distinct from the headline GDP-growth board (the total), the monthly industrial-production index (a different measure, industry only), the annual IMF World Economic Outlook database, and the generic multi-provider data aggregator. Figures are quarterly, in percent.

api.oanor.com/gdpsector-api

How fast the number of people in work is growing in each economy, on one comparable screen — total employment growth from the OECD's official Quarterly National Accounts as an API, live, no key. Employment growth is the jobs number: the change in the total count of people employed, the demand-side companion to the unemployment rate. The two can move independently — employment can keep rising while the unemployment rate holds flat if the labour force is growing too — so the jobs print is watched in its own right as a read on how much hiring the real economy is doing. The OECD harmonises and seasonally adjusts the figures so they are genuinely comparable across countries. This API computes the two growth rates people quote — quarter-on-quarter (the latest quarter's pace) and year-on-year (versus the same quarter a year earlier) — from the OECD's total-employment count. The board endpoint ranks every economy by its year-on-year employment growth, so you can see where hiring is strongest and where jobs are being shed. The momentum endpoint ranks by the latest quarter-on-quarter move. The country endpoint gives one economy's employment growth with a plain-language read. Each reading carries its own quarter and discontinued series are excluded, so the board is genuinely current. The jobs / labour-demand cut — distinct from the harmonised unemployment-rate board (this is the count of people in work, not the share out of work), the leading-indicator and GDP boards, the annual IMF World Economic Outlook database, and the generic multi-provider data aggregator. Figures are quarterly, in percent.

api.oanor.com/employment-api

How fast each economy's businesses and governments are investing in new capital, on one comparable screen — real gross fixed capital formation growth from the OECD's official Quarterly National Accounts as an API, live, no key. Gross fixed capital formation — investment in machinery, buildings, infrastructure and equipment — is the most cyclical and forward-looking component of GDP: firms only commit to new plant and projects when they are confident about demand, so investment turns down before recessions and surges first in recoveries. Its year-on-year change is one of the cleanest reads on the business cycle, and a swing factor that moves the currency and the capex-exposed parts of the equity market. The OECD harmonises and seasonally adjusts the real, chain-linked-volume figures so they are genuinely comparable across countries. This API serves the two growth rates people quote — quarter-on-quarter (the latest quarter's pace) and year-on-year (versus the same quarter a year earlier) — for real investment. The board endpoint ranks every economy by its year-on-year investment growth, so you can see where capex is booming and where it is collapsing. The momentum endpoint ranks by the latest quarter-on-quarter move. The country endpoint gives one economy's investment growth with a plain-language read. Each reading carries its own quarter and discontinued series are excluded, so the board is genuinely current. The capital-investment / capex cut — distinct from the headline GDP-growth board (this isolates the investment component), the consumer-demand and trade boards, the annual IMF World Economic Outlook database, and the generic multi-provider data aggregator. Figures are quarterly, in percent.

api.oanor.com/investmentgrowth-api

How fast each economy's exports and imports are growing, on one comparable screen — real trade growth from the OECD's official Quarterly National Accounts as an API, live, no key. Trade is the external engine of an economy: exports are foreign demand for what a country makes, imports are domestic demand for what the world makes, and the gap between how fast the two are growing is the net-trade contribution to GDP — a swing factor that moves the currency and the current account. Export-led economies live and die by the export number; the OECD harmonises and seasonally adjusts the real, chain-linked-volume trade flows so the figures are genuinely comparable across countries. This API serves the two growth rates people quote — quarter-on-quarter (the latest quarter's pace) and year-on-year (versus the same quarter a year earlier) — for real exports and real imports of goods and services. The board endpoint ranks every economy by its export growth, with imports alongside, so you can see whose external demand is booming and whose is fading. The imports endpoint ranks by import growth — a read on domestic demand pulling in goods. The country endpoint gives one economy's export and import growth with a plain-language read of whether net trade is improving (exports outpacing imports) or dragging. Each reading carries its own quarter and discontinued series are excluded, so the board is genuinely current. The external-sector / trade-growth cut — distinct from the headline GDP-growth board (this isolates the trade component), the annual IMF World Economic Outlook database, and the generic multi-provider data aggregator. Figures are quarterly, in percent.

api.oanor.com/trade-api

How fast each economy is actually growing, on one comparable screen — real GDP growth from the OECD's official Quarterly National Accounts as an API, live, no key. Real GDP growth is the single most-watched macroeconomic number there is: it is the headline measure of whether an economy is expanding or in recession, it sets the backdrop for every central-bank decision, and the quarterly print moves bond, currency and equity markets. The OECD harmonises and seasonally adjusts the national accounts so the figures are genuinely comparable across countries. This API serves the two growth rates people actually quote — the quarter-on-quarter change (the latest quarter's pace) and the year-on-year change (growth versus the same quarter a year earlier), both for real, chain-linked-volume GDP. The board endpoint ranks every economy by its year-on-year growth, with the quarter-on-quarter move alongside, so you can see who is booming and who is shrinking. The momentum endpoint ranks by the latest quarter-on-quarter move — the freshest read on the cycle. The country endpoint gives one economy's GDP growth with a plain-language read (two consecutive negative quarters is the classic technical-recession marker). Each reading carries its own quarter and discontinued series are excluded, so the board is genuinely current. The headline GDP-growth cut — distinct from the annual IMF World Economic Outlook database (a yearly figure and forecast, not the live quarterly print), the leading-indicator and confidence boards (forward-looking soft data), and the generic multi-provider data aggregator. Figures are quarterly, in percent.

api.oanor.com/gdp-api

How much consumers in each economy are actually spending, and which way the high street is turning — the OECD retail trade volume as an API, live from the OECD's official statistics, no key. Retail trade volume is the headline monthly read on consumer demand: it measures the real, inflation-adjusted volume of goods sold by retailers, and its year-on-year change tells you whether households are opening their wallets or pulling back. Consumer spending is the largest part of most economies, so the retail print moves markets and feeds straight into GDP nowcasts — and the latest month-on-month move is the bit traders react to first. The OECD publishes a seasonally-adjusted retail-trade-volume index for each economy; this API turns it into the numbers people use — the year-on-year and month-on-month growth of retail sales. The board endpoint ranks every economy by its year-on-year retail growth, so you can see where consumers are spending and where demand is fading. The momentum endpoint ranks by the latest month-on-month move — who is accelerating or rolling over right now. The country endpoint gives one economy's retail growth, year-on-year and month-on-month, with a plain-language read. Each reading carries its own period and discontinued series are excluded, so the board is genuinely current. The consumer-demand / retail hard-data cut — distinct from the industrial-production board (the supply side, factory output), the leading-indicator and confidence boards (soft survey data), and the generic multi-provider data aggregator. Figures are monthly, in percent.

api.oanor.com/retailsales-api

How much each economy's factories, mines and utilities are actually producing, and which way output is turning — the OECD industrial production index as an API, live from the OECD's official statistics, no key. The industrial production index is one of the headline monthly hard-data prints: it measures the real volume of output across industry (mining, manufacturing and utilities, excluding construction), and its year-on-year change is a direct read on whether the real economy is expanding or contracting — it moves markets and feeds straight into GDP nowcasts. Manufacturing, the largest and most cyclical part, is broken out separately. The OECD publishes a seasonally-adjusted production-volume index for each economy; this API turns it into the number people use — the year-on-year and month-on-month growth of industrial output. The board endpoint ranks every economy by its industrial-production growth (industry excluding construction), with manufacturing alongside, so you can see where factories are humming and where they are stalling. The manufacturing endpoint ranks by manufacturing output growth on its own. The country endpoint gives one economy's industrial and manufacturing growth, year-on-year and month-on-month. Each reading carries its own period and discontinued series are excluded, so the board is genuinely current. The industrial-output / hard-data cut — distinct from the leading-indicator and confidence boards (soft, survey-based, forward-looking), the annual IMF database, and the generic data aggregator. Figures are monthly, in percent.

api.oanor.com/industrialproduction-api

How fast the money in each economy is growing — narrow money (M1) and broad money (M3) growth as an API, live from the OECD's official monetary statistics, no key. The money supply is the total stock of money in circulation: M1 is cash and instantly-spendable deposits (the transactional money that turns over fast), M3 is M1 plus savings and near-money. How fast it grows is one of the oldest macro signals there is — money growth running well ahead of the economy is the classic fuel for inflation and asset-price booms, while money contracting flags a credit squeeze. Central banks, bond traders and macro investors watch the year-on-year money-growth rate to read the liquidity tide. The OECD publishes a seasonally-adjusted monetary-aggregate index for each economy; this API turns it into the number people actually use — the year-on-year and month-on-month growth of M1 and M3. The board endpoint ranks every economy by its broad-money (M3) growth, with narrow money (M1) alongside, so you can see where liquidity is expanding fastest and where it is drying up. The narrow endpoint ranks by M1 growth — narrow money turns over fastest and tends to lead. The country endpoint gives one economy's M1 and M3 growth, year-on-year and month-on-month. Each reading carries its own period and discontinued series are excluded, so the board is genuinely current. The money-supply / monetary-growth cut — distinct from the central-bank policy-rate APIs (the price of money, not its quantity), the inflation board, and the generic multi-provider data aggregator. Figures are monthly, in percent.

api.oanor.com/moneysupply-api

The monthly unemployment rate of every major economy on one comparable screen — the OECD harmonised unemployment rates as an API, live from the OECD's official statistics, no key. Each country measures joblessness slightly differently; the OECD harmonises them onto the same definition (the share of the labour force without work, available and actively looking) and seasonally adjusts them, so the numbers are genuinely comparable side by side. Unemployment is one of the two hard data points — with inflation — that move central banks and markets, and the monthly print, and which way it is turning, is what gets traded. The board endpoint returns the headline (15+) seasonally-adjusted unemployment rate for every economy the OECD tracks (and the aggregates — the euro area, the OECD, the EU), ranked from the tightest labour market to the loosest, each with its month-on-month change and whether the rate is rising (loosening) or falling (tightening). The youth endpoint does the same for the 15-24 age group — youth unemployment runs far higher and is watched as a social and structural gauge. The country endpoint puts the headline and youth rate together for one economy with its rank and recent direction. Each reading carries its own period and discontinued series are excluded, so the board is genuinely current. The labour-market / unemployment-rate cut — distinct from the annual IMF World Economic Outlook database (which carries unemployment as a yearly figure and forecast, not the live monthly print), the inflation and bond-yield boards, and the generic multi-provider data aggregator. Figures are monthly, in percent of the labour force.

api.oanor.com/unemployment-api

How optimistic the firms and households of each economy are right now — the OECD Business and Consumer Confidence Indicators as an API, live from the OECD's official statistics, no key. Confidence is soft data: it comes from monthly surveys asking businesses about orders, output and expectations, and consumers about their finances and the outlook, and it moves before the hard data does, which makes it one of the most-watched early reads on demand. The OECD standardises both into amplitude-adjusted indices that oscillate around 100 — above 100 means confidence is above its long-term average (optimism), below 100 means below average (pessimism) — and the direction (rising or falling) tells you whether sentiment is improving or deteriorating. The business endpoint returns the Business Confidence Indicator (BCI) for every economy the OECD tracks (and the aggregates — G7, G20, OECD, the euro area), ranked, each with its current value, month-on-month change, optimism/pessimism reading and direction. The consumer endpoint returns the Consumer Confidence Indicator (CCI) the same way. The country endpoint puts both side by side for one economy — the firm view and the household view together, with a combined read. Discontinued series are excluded and each reading carries its own period, so the board is genuinely current. The survey-based confidence / soft-data cut — distinct from the OECD composite-leading-indicator board (a different measure built to lead GDP), from the bond-yield and inflation boards, and from the generic multi-provider data aggregator. Figures are monthly; this is the sentiment lens on the world's economies.

api.oanor.com/confidence-api

Which economies are heading into expansion, slowdown, downturn or recovery — the OECD Composite Leading Indicators (CLI) as an API, live from the OECD's official statistics, no key. The CLI is designed to flag turning points in the business cycle six to nine months ahead: it leads GDP, it does not follow it. It is built to oscillate around 100 — above 100 means activity is above its long-term trend, below 100 means below trend, and the direction (rising or falling) gives the momentum. Combining level and direction gives the classic four-phase business-cycle clock macro traders position around: above 100 and rising is Expansion, above 100 and falling is Downturn, below 100 and falling is Slowdown, below 100 and rising is Recovery. The board endpoint returns every economy the OECD tracks (and the aggregates — G7, G20, OECD, NAFTA, the major European and Asian groups) with its current amplitude-adjusted CLI, the month-on-month change and its business-cycle phase, ranked. The country endpoint returns one economy's CLI — its latest reading, the month-on-month change and its phase. The phase endpoint groups every economy into the four phases of the cycle clock, so you can see at a glance who is accelerating and who is rolling over. The leading-indicator / business-cycle cut — distinct from the generic multi-provider data aggregator (which fetches any raw series but is not a curated, interpreted CLI board), from the government-bond-yield board, and from inflation and central-bank-rate APIs. Figures are monthly; this is the forward-looking macro lens.

api.oanor.com/leadingindicators-api

How the major asset classes move together — a live correlation matrix across stocks, bonds, gold, oil, crypto and the dollar (no key, nothing stored). Correlation is the single most important input to diversification and risk: two assets with a correlation near 1 are effectively the same bet, while a low or negative correlation is genuine diversification. Where a crypto-correlation API stays inside crypto and an FX-correlation API stays inside currencies, this spans the whole multi-asset book at once — US and international equities, Treasuries and credit, gold, silver, oil and broad commodities, Bitcoin and Ether, the dollar and real estate — so an allocator can see in one call whether bonds are still hedging stocks, whether gold is decoupled and whether crypto is trading as a risk asset. The matrix endpoint returns the full pairwise return-correlation matrix over a chosen window, with the most- and least-correlated pairs. The asset endpoint returns one asset's correlation to every other, ranked, so you see its best diversifiers at a glance. The assets endpoint lists what is covered. The cross-asset / multi-asset correlation surface — distinct from the crypto-only correlation API, the FX-only currency-correlation API and the bring-your-own-series CAPM, risk-metrics and portfolio-optimiser calculators.

api.oanor.com/crossassetcorrelation-api

One number for the market's mood across asset classes — a live 0-100 risk-on / risk-off (RORO) score, computed from Yahoo Finance (no key, nothing stored). On any day capital is either reaching for risk or fleeing to safety, and the signal lives in the relationships between markets, not any single price. This blends four classic cross-asset gauges — stocks vs long bonds (SPY/TLT), high-yield vs investment-grade credit (HYG/LQD), copper vs gold (the growth metal vs the haven) and the VIX (inverted) — into one score: high = risk-on (greed), low = risk-off (fear). The score endpoint returns the composite, each gauge's contribution and a regime label; the components endpoint returns the four underlying ratios with where each sits in its recent range (its percentile), so you can see what is driving the mood. The cross-asset risk-sentiment / RORO composite cut — distinct from the intermarket-ratios feed (raw ratios), the volatility-index API and the price APIs. It synthesises the regime, not the parts.

api.oanor.com/riskappetite-api

Whether crypto is trading as a risk asset or a hedge, measured by how closely a coin moves with the stock market, gold and the dollar — computed live from Binance and Yahoo Finance, no key, nothing stored. The single most-asked macro question about crypto is whether it is "digital gold" or just high-beta tech; this answers it with numbers. The correlation endpoint returns, for a coin (BTC or ETH), its return correlation to the S&P 500, the Nasdaq 100, gold and the US dollar index over a chosen window, each with a plain-language read (risk-on if it tracks stocks, a hedge if it tracks gold or moves against the dollar) and an overall verdict. The beta endpoint returns the coin's beta to the S&P 500 — how much it amplifies equity moves — with the correlation and R-squared. This is the cross-asset / crypto-versus-traditional-markets correlation cut — distinct from the crypto-to-crypto correlation API (coins against each other), the realised-volatility and the price APIs in the catalogue. Correlations use daily log returns aligned on common trading days; coin is BTC or ETH, window 20-365 days.

api.oanor.com/cryptomacro-api

How indebted each economy's government, households and companies are relative to the size of the economy, read live from the Bank for International Settlements' open statistics — no key, nothing stored. Debt-to-GDP is the headline gauge of debt sustainability: how big a borrower's debts are versus the income that has to service them. The BIS publishes total credit as a share of GDP for the general government, for households, for non-financial corporations and for the private non-financial sector as a whole, on a consistent cross-country basis. The latest endpoint returns every covered country's most recent government, household, corporate and total-private debt-to-GDP; the country endpoint returns one country's four sector ratios with the reference quarter; the history endpoint returns a chosen sector's quarterly series. This is the debt-level / leverage macro cut — distinct from the credit-to-GDP gap (how stretched credit is versus its trend), the debt service ratio (the cost of carrying that debt), the credit-growth (lending volumes), bank-rate and FX APIs in the catalogue. A country is a BIS reference area (US, GB, DE, JP …) given as an ISO-2 code or a common name; data is quarterly with the usual statistical lag.

api.oanor.com/debttogdp-api

How much of a country's income goes to servicing debt — interest plus principal — read live from the Bank for International Settlements' open statistics, no key, nothing stored. The credit-to-GDP gap measures how much debt has built up; the debt service ratio (DSR) measures how heavy it is to carry. It is the share of income that borrowers must spend each period just to keep current on their debts, and a high or rising DSR squeezes consumption and investment and has reliably led recessions. The BIS publishes the DSR for households, for non-financial corporations and for the private non-financial sector as a whole. The latest endpoint returns every covered country's most recent DSR for all three sectors; the country endpoint returns one country's household, corporate and total DSR with the reference quarter; the history endpoint returns the quarterly series for a chosen sector. This is the debt-burden / debt-service macro cut — distinct from the credit-to-GDP gap (debt build-up), the credit-growth (lending volumes), the bank-rate, money-supply and FX APIs in the catalogue. A country is a BIS reference area (US, GB, DE, JP …) given as an ISO-2 code or a common name; data is quarterly with the usual statistical lag.

api.oanor.com/debtservice-api

How far each country's private-sector credit has run above or below its long-run trend — the single best early-warning indicator for banking crises — read live from the Bank for International Settlements' open statistics, no key, nothing stored. The credit-to-GDP gap is the difference between the credit-to-GDP ratio and its long-term trend, and the Basel Committee uses it to set the countercyclical capital buffer: a gap above roughly 10 points has historically preceded credit busts, while a deeply negative gap means an economy is still deleveraging. The latest endpoint returns every covered country's most recent gap together with its actual credit-to-GDP ratio and a risk band; the country endpoint returns one country's gap, the underlying ratio and trend and a risk label; the history endpoint returns the quarterly gap time series. This is the credit-gap / financial-stability macro cut — distinct from the euro-area credit-growth (lending volumes), the bank-rate, money-supply, central-bank policy-rate and FX APIs in the catalogue. It measures the build-up of financial-stability risk, not the level of rates. A country is a BIS reference area (US, GB, DE, JP …) given as an ISO-2 code or a common name; data is quarterly with the usual statistical lag.

api.oanor.com/creditgap-api

How fast bank lending to the real economy is expanding, and whether it is accelerating or slowing, read live from the European Central Bank's public Data Portal — no key, nothing stored. Where bank rates are the price of credit, this is the quantity: the annual growth of the loans euro-area banks (MFIs) actually extend to households — total, for house purchase, and for consumption — and to non-financial corporations (businesses). Credit growth is one of the most-watched macro signals because credit booms and busts lead the business cycle and, with a lag, inflation. The growth endpoint returns the latest annual growth rate of each lending category with its reference month and month-on-month change. The impulse endpoint returns the credit impulse — the change in the growth rate over the last six and twelve months — a leading read on whether the credit cycle is turning up (acceleration) or rolling over (deceleration). The series endpoint returns the recent monthly history of any one indicator. This is the euro-area credit-cycle / lending-volume macro cut — distinct from the bank-rate (price of credit), money-supply, policy-rate, yield-curve and FX APIs in the catalogue. All series are euro-area (U2), monthly, annual-growth percent.

api.oanor.com/creditgrowth-api

The interest rates euro-area households and businesses actually pay, and how fast the money supply is growing, read live from the European Central Bank's public Data Portal — no key, nothing stored. Policy rates are the headline, but what reaches the real economy is the bank lending rate: the cost of a new mortgage, a consumer loan, a business loan, and the rate paid on deposits. The rates endpoint returns the latest euro-area readings for all of these (the ECB MIR "cost of borrowing" series), each with its value, the month it refers to, the month-on-month change and a plain-language label. The moneysupply endpoint returns the annual growth of M1, M2 and M3 — the monetary aggregates whose expansion or contraction leads inflation and the credit cycle. The series endpoint returns the recent monthly history of any one indicator. This is the euro-area bank-rate / monetary-aggregate macro cut — distinct from the ECB policy-rate, yield-curve and €STR APIs, the FX-rate APIs and the country-specific central-bank APIs in the catalogue. All series are euro-area (U2), monthly, in percent.

api.oanor.com/bankrates-api

How house prices are moving across the world's economies, read live from the Bank for International Settlements' Selected Residential Property Prices dataset. For roughly 60 countries the BIS publishes a quarterly residential property price index — both nominal and real (inflation-adjusted) — together with its year-on-year change. The latest endpoint returns every country's most recent reading at once — the nominal and real index plus the nominal and real year-on-year growth — sortable by nominal or real YoY so you instantly see which housing markets are heating up and which are cooling once you strip out inflation. The country endpoint returns a single country's latest reading; the history endpoint returns its quarterly index time series (nominal and real) so you can chart a market over time. Countries are given as ISO-2 codes (US, DE, GB, JP) or common names (xm is the euro area). The nominal index is the headline price level; the real index is deflated by consumer prices, so a negative real YoY means prices are falling after inflation even when the nominal index still rises. This is the real-estate / property-price macro data-cut — distinct from the FX-rate, central-bank, yield-curve, commodity and equity-index APIs in the catalogue. Live source, no key required upstream, nothing stored.

api.oanor.com/houseprices-api

What the US national debt is actually made of, served from the Treasury's Monthly Statement of the Public Debt. The headline debt-to-the-penny figure is one number; this is the breakdown — how the roughly $39 trillion splits across Treasury Bills, Notes, Bonds, TIPS and Floating-Rate Notes (the marketable, tradable debt) versus the non-marketable debt (the Government Account Series held by federal trust funds, Savings Bonds, and State and Local Government Series). The composition endpoint returns the latest full breakdown by security class, each with its share of the total and its split between debt held by the public and intragovernmental holdings. The marketable endpoint isolates the tradable securities (Bills/Notes/Bonds/TIPS/FRN) with each one's share of marketable debt — the issuance mix that rates traders and the Treasury's quarterly refunding watch. The history endpoint returns one security class's outstanding amount month by month. This is the debt-structure data-cut, distinct from the debt-to-the-penny total, the fiscal-deficit and the yield-curve APIs in the catalogue. Live, updated monthly, no key on the upstream, nothing stored.

api.oanor.com/debtcomposition-api

The US federal government's checking account — the Treasury General Account (TGA) at the Federal Reserve — served from the official Daily Treasury Statement. The TGA is where the government's cash sits, and its day-to-day balance is a closely watched market-liquidity gauge: a falling TGA injects cash into the financial system, a rising one drains it. The balance endpoint returns the latest day's opening balance, total deposits, total withdrawals, closing balance and the net change, in millions and billions of dollars. The history endpoint returns the daily closing TGA balance over a window. The flows endpoint returns the latest day's largest cash deposits and withdrawals by category — withheld and corporate taxes coming in, Social Security and debt redemptions going out — so you can see exactly where the money moved. This is the Treasury-cash and fiscal-liquidity data-cut, distinct from the national-debt, fiscal-deficit and yield-curve APIs in the catalogue. Live, updated each business day, no key on the upstream, nothing stored.

api.oanor.com/treasurycash-api

The inflation-adjusted side of the US Treasury yield curve, served from the Treasury's official daily feeds. The realyields endpoint returns the latest TIPS real yield curve — the inflation-protected (real) yield at the 5, 7, 10, 20 and 30-year maturities. The breakeven endpoint returns market-implied inflation: at each maturity it takes the nominal Treasury yield minus the real yield, which is the average annual inflation rate the bond market is pricing in over that horizon, and returns it alongside the nominal and real components. The history endpoint returns the daily time series of the real yield, the nominal yield and the breakeven inflation rate for one maturity over a year. A 10-year breakeven of 2.3 means the market is pricing roughly 2.3% average inflation over the next decade — a core gauge for rates traders, macro funds and inflation hedgers. This is the real-yield and inflation-expectations data-cut — distinct from the nominal yield-curve, the world-government-bond and the central-bank-rate APIs in the catalogue. Live, no key on the upstream, nothing stored.

api.oanor.com/realyields-api

Live US federal fiscal data from the US Treasury's official FiscalData API — the cost-and-flow side of US public finance. Get the federal budget deficit or surplus by month for the current fiscal year (receipts, outlays and the net) from the Monthly Treasury Statement; the interest the United States pays to service its national debt, by month and fiscal-year-to-date, broken down by security type; and the average interest rate the Treasury pays on each class of its debt (Bills, Notes, Bonds, TIPS) plus the weighted overall rate. Live, no key, nothing cached. Distinct from debt-level (debt-to-the-penny) and auction feeds — this is the deficit, the interest bill and the average rate on the debt.

api.oanor.com/usfiscal-api

Live Argentine macro-financial indicators from argentinadatos.com (official BCRA, INDEC and market data). Argentina is followed for three numbers above all: the riesgo-país (country risk — the JP Morgan EMBI spread over US Treasuries in basis points, the headline measure of sovereign default risk), inflation (monthly and year-over-year, among the world's highest), and the plazo-fijo rate (the annual interest banks pay on 30-day peso deposits, the saver's defence against inflation). The riesgo-pais endpoint returns the latest spread and recent history; the inflation endpoint returns the latest monthly and interannual rate; the plazo-fijo endpoint compares the deposit rate at every bank; the indicators endpoint returns a combined snapshot. Read live, nothing stored. This is Argentina's own country-risk, inflation and deposit-rate layer — distinct from its parallel-dollar feed and single central-bank APIs.

api.oanor.com/argentina-api

Live financial-stability data from the U.S. Office of Financial Research, the federal body created after 2008 to measure systemic risk, via its public Financial Stress Index (FSI). The OFR FSI is a daily, market-based index of stress in the global financial system: a positive value means above-average stress, zero is the historical norm and negative means calm. Get the latest headline index with its day-over-day change. Decompose it into the five kinds of stress it tracks — credit, equity valuation, funding, safe-assets/flight-to-safety and volatility — to see which channel is driving stress. Split it by where the stress sits, the United States versus other advanced economies. Pull the daily time series of the headline or any component back two decades. Live, no key, nothing stored. Distinct from rate, FX, central-bank and stock-index APIs — this is a single, official, daily measure of how stressed the financial system is and why. Perfect for macro, risk, trading and analytics apps.

api.oanor.com/ofr-api

Live data on the Federal Reserve's balance sheet — the System Open Market Account (SOMA) — via the Federal Reserve Bank of New York's public markets API. SOMA is the portfolio of Treasury securities, agency debt and agency MBS the Fed holds, the asset side of the world's most important central-bank balance sheet, the thing that grows in QE and shrinks in QT. Get the latest weekly snapshot — total holdings and the breakdown across bills, notes and bonds, TIPS, FRNs, agency MBS, CMBS and agency debt. Pull the weekly time series back two decades to see every round of quantitative easing and tightening. Read the actual line-item securities the Fed owns — each CUSIP with its security type, maturity, coupon, par value held and share of the issue outstanding. Bucket the Treasury holdings by time to maturity, the profile that drives the pace of runoff. Live, no key, nothing stored. Distinct from money-market reference-rate, FX-rate, central-bank-policy and stock-index APIs — this is the size, composition and maturity of the Fed's actual securities portfolio. Perfect for rates, macro, fixed-income and analytics apps.

api.oanor.com/fedsoma-api

How strong each currency is on a trade-weighted basis, served live from the Bank for International Settlements' open statistics API — no key, nothing cached. An effective exchange rate (EER) measures a currency against a basket of its trading partners' currencies, not just one pair — it is the single best gauge of whether a currency is broadly strengthening or weakening. The BIS publishes nominal and real (inflation-adjusted) EER indices for 64 economies, against a broad (64-economy) or narrow (27-economy) basket, all on a base of 100. The rankings endpoint returns every economy's current EER index, ranked, so you can see the world's strongest and weakest currencies at a glance. The country endpoint returns one economy's EER index with its history and its 12-month change. The movers endpoint ranks the biggest currency gainers and losers over the past year — who has appreciated and who has depreciated most. Everything is the BIS's own compiled data, live, nothing stored; figures are monthly. This is the trade-weighted currency-strength layer for any forex, macro, trade or research app. Distinct from bilateral FX-rate and central-bank APIs — this is effective exchange rates: real and nominal trade-weighted currency strength, from the BIS. 3 endpoints, no key on our side.

api.oanor.com/eer-api

The headline interest rate of every major central bank in the world, side by side, served live from the Bank for International Settlements' open statistics API — no key, nothing cached. The BIS compiles the official policy rate for around 40 monetary authorities — the Federal Reserve, the ECB, the Bank of England, the Bank of Japan and dozens more — onto one consistent monthly series. The policy-rates endpoint returns the current rate for every central bank in a single call, ranked from highest to lowest, so you can see the whole global rate landscape at a glance: in mid-2026 Türkiye near 37% at the top and the US Federal Reserve around 3.6%. The country endpoint returns one central bank's policy rate with its full history and its latest move. The changes endpoint compares each bank's two most recent readings and reports who has hiked, who has cut and who is on hold, with the size of the move — the global rate-cycle dashboard. Everything is the BIS's own compiled data, live, nothing stored; rates are monthly. This is the global monetary-policy layer for any macro, fixed-income, forex or research app. Distinct from single-central-bank APIs — this is every central bank's policy rate in one place, from the BIS. 3 endpoints, no key on our side.

api.oanor.com/bis-api

Live long-term (about 10-year) government bond interest rates for around 44 countries, side by side, served from the OECD's official statistics in a single live call. The long-term government bond yield is the benchmark cost of money for an economy, and this puts the whole developed world on one screen — the United States, Germany, the United Kingdom, Japan, Canada, Australia, Brazil, Switzerland, Mexico, Colombia and dozens more — each with its latest published rate and the month it covers. The yields endpoint returns every country ranked by yield together with its spread over the German Bund, the euro-area safe-asset benchmark: in mid-2026 Colombia near 13.2%, Mexico 9.5% and Brazil 9.1% sit at the top while Switzerland near 0.5% sits at the bottom, with the US around 4.5% and the German Bund around 3.0%. The country endpoint returns one country's long-term yield with two years of recent monthly history. The spreads endpoint ranks every country by its yield spread over a chosen benchmark — Germany or the United States — the risk-and-rate-differential picture fixed-income and macro desks watch. This is the international-rates comparison layer for any fixed-income, forex, macro or research app. Live from the OECD, nothing stored. Distinct from single-country central-bank and yield-curve APIs — this is the cross-country sovereign-yield comparison across the developed world. Monthly OECD series; 4 endpoints. No key, no cache.

api.oanor.com/worldbonds-api

Live macroeconomic-event calendar — the macro releases that move currencies, rates and the whole market — served straight from Nasdaq's public economic calendar feed (no key, nothing cached). These are GDP, CPI and inflation, central-bank rate decisions, unemployment and non-farm payrolls, industrial production, trade balances, PMI and consumer sentiment, across every major economy. For any date the events endpoint lists each release with its scheduled GMT time, the country, the event name, the actual print once released, the consensus forecast, the previous reading and a description of what the indicator measures and why it matters — you can filter by country or by event name. The week endpoint returns the whole week ahead from a date in a single call — the calendar every forex and rates trader plans around — and the countries endpoint shows which economies report on a date and how many events each has. This is the macro-event layer for any trading, forex, research or dashboard app: what prints, when, and what the market expects. Live from Nasdaq, nothing stored. Distinct from corporate-events APIs (earnings, dividends, splits) and from price and FX-rate APIs — this is the macroeconomic calendar. 4 endpoints.

api.oanor.com/economiccalendar-api

Live market "fear gauges" across asset classes as an API, served from Yahoo Finance. The VIX is the market's headline fear index — the S&P 500's 30-day implied volatility — and this returns it alongside the rest of the family: the 9-day VIX (short-term fear), the Nasdaq-100 (VXN) and Dow (VXD) volatility indices, crude-oil (OVX) and gold (GVZ) volatility, and the VVIX, the volatility of the VIX itself. Each comes with its current level, the day's change, and its day and 52-week range, and the board adds a plain-language fear regime from the VIX (complacent, normal, elevated, high or extreme). Get the whole board or one index. The implied-volatility and risk-sentiment layer for trading, macro-research and dashboard apps. Live, no key, no cache. Distinct from equity-index, crypto-volatility and FX-volatility APIs — this is the cross-asset implied-volatility (fear) suite.

api.oanor.com/volatilityindices-api

Live S&P 500 sector performance as an API — the sector-rotation picture traders watch, served from Yahoo Finance via the eleven SPDR sector ETFs. It returns each of the eleven GICS sectors — Technology, Financials, Energy, Health Care, Consumer Discretionary, Consumer Staples, Industrials, Materials, Utilities, Real Estate and Communication Services — with its tracking ETF's price, the day's change, the day's high and low, and the 52-week high and low. Pull the whole board ranked by the day's move, with the leading and lagging sectors called out, or look one sector up by name or ETF ticker. The sector-rotation and market-breadth layer for trading, macro-research and dashboard apps. Live, no key, no cache. Distinct from index-level, single-stock and cross-asset-ratio APIs — this is the equity-sector performance breakdown.

api.oanor.com/sectors-api

Live intermarket relative-value ratios as an API — the cross-asset signals macro and technical traders watch, computed from Yahoo Finance prices. Each ratio divides one market by another to reveal relative value and regime: the Gold/Oil ratio (barrels of crude per ounce of gold), the Oil/Gas energy spread, the Copper/Gold ratio (a growth and interest-rate barometer), the S&P 500 priced in gold, and the Stocks/Bonds ratio (risk-on versus risk-off, SPY/TLT). For each it returns both leg prices, the ratio value, the day change and a plain-language reading. Get one ratio or the whole board in a single call. The intermarket relative-value layer for trading, macro-research and dashboard apps. Live, no key, no cache. Distinct from single-asset price APIs and from the precious-metals ratio — this is the cross-asset ratio set.

api.oanor.com/marketratios-api

Live US Treasury yield curve as an API — US government bond yields across the curve, served from Yahoo Finance. It returns the current yield (in percent) for the 3-month, 2-year, 5-year, 10-year and 30-year Treasuries with their daily change in basis points, the shape of the curve (steep, normal, flat or inverted), and the key spreads traders and economists watch — the 10y-2y and 10y-3m spreads, whose inversion has preceded every modern US recession — plus an inverted flag. Get the whole curve, a single maturity's yield, or the spread between any two maturities. The interest-rate and recession-signal layer for trading, macro-research and dashboard apps. Live, no key, no cache. Distinct from US Treasury fiscal-data APIs (which track national debt and issuance) — this is the live market yield curve.

api.oanor.com/yieldcurve-api