API marketplace

The Ethereum blob data-availability fee market that every layer-2 rollup lives and dies by, live from the public Blobscan dataset, no key. Since the Dencun upgrade (EIP-4844, proto-danksharding) rollups no longer post their compressed transaction data as expensive calldata — they post it as blobs, large temporary data packets priced in their own independent fee market (the blob-gas market, with its own base fee that rises when blocks are full of blobs and falls when they are not). Blob space is now the single biggest cost line for almost every rollup, so the blob base fee and how much blob space each rollup consumes is the core economics of the entire layer-2 ecosystem — when blob demand spikes, every rollup's costs (and ultimately its user fees) rise together. The network endpoint returns the live state of the blob fee market: the current blob base fee, the average over recent blocks, the average blobs per block against the protocol target and maximum, the resulting utilisation, the excess blob gas that drives the fee, and the data-availability fee burned per block. The rollups endpoint is the key view — it ranks the layer-2 rollups by how much blob space they are consuming right now (Base, Arbitrum, Optimism, World, Taiko and the rest), each with its blob count, blob gas used, share of all blob space and the data-availability fee it is paying in ETH. The blocks endpoint lists the most recent blocks with their blob count, blob base fee and DA fee. This is the blob / data-availability fee-market cut — distinct from the multi-chain execution-gas oracle (the EIP-1559 execution-gas market, not the separate blob-gas market), the ETH supply/burn feed (which reports a single blob-base-fee number but not blob-space utilisation or which rollups consume it), and the on-chain and TVL feeds. Fees are in gwei and ETH; figures are live, per block.

Uptime

100.0%

Latency

914ms

Subs

3,168

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.

Uptime

100.0%

Latency

640ms

Subs

4,341

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.

Uptime

100.0%

Latency

536ms

Subs

4,827

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.

Uptime

100.0%

Latency

498ms

Subs

4,140

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.

Uptime

50.0%

Latency

384ms

Subs

4,613

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.

Uptime

50.0%

Latency

512ms

Subs

4,228

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.

Uptime

66.7%

Latency

561ms

Subs

3,091

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.

Uptime

50.0%

Latency

472ms

Subs

3,048

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.

Uptime

100.0%

Latency

461ms

Subs

3,428

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.

Uptime

100.0%

Latency

624ms

Subs

3,731

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.

Uptime

100.0%

Latency

595ms

Subs

4,390

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.

Uptime

66.7%

Latency

711ms

Subs

3,161

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.

Uptime

100.0%

Latency

358ms

Subs

3,680

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.

Uptime

25.0%

Latency

1029ms

Subs

4,000

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.

Uptime

25.0%

Latency

1676ms

Subs

3,926

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.

Uptime

100.0%

Latency

743ms

Subs

4,295

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.

Uptime

25.0%

Latency

906ms

Subs

4,241

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.

Uptime

25.0%

Latency

1756ms

Subs

3,797

The best liquidity-pool, staking and vault yields across DeFi, with the risk profile that decides whether a headline APY is actually worth farming — live from DeFiLlama, no key. A pool can advertise 40% APY, but if it is a volatile two-token liquidity position the impermanent loss can eat the yield, and if the rate spiked yesterday it may be gone tomorrow. This API is the yield-farming screener: for every non-lending pool (DEX liquidity, staking, vaults, farms) it returns the current APY split into base and reward, the 30-day average APY, a sustained APY (the lower of the two, so a pool only scores high if it yields well both now and on average), the impermanent-loss risk and exposure (single-asset or multi-token), whether it is a stablecoin pool, the TVL and daily trading volume, and DeFiLlama's own forward prediction of whether the APY will hold, rise or fall. The pools endpoint is the full screener, filterable by project, chain, asset, stablecoin-only, exposure, IL-risk and minimum size, sorted by current or 30-day or sustained APY, TVL or volume. The best endpoint answers the question directly — the highest-yielding farms ranked by the sustained APY so the answer is real and farmable, not a one-day spike; add stablecoin=true or exposure=single for lower-risk yield. The project endpoint summarises one protocol's pools (Uniswap, Curve, Pendle, Convex). The LP / staking / vault yield-farming cut — distinct from the on-chain money-market lending-rate API (supply and borrow rates, which this one excludes entirely), from the TVL analytics APIs, and from price feeds. Ranking surfaces exclude DeFiLlama-flagged outlier pools so the best yield is one you could actually farm.

Uptime

100.0%

Latency

227ms

Subs

4,207

When locked crypto tokens vest into circulation, who they go to, and how much supply is still to come — live from DeFiLlama's open emissions dataset, no key. A token's price tells you what it costs today; its unlock schedule tells you the supply pressure ahead, the single biggest and most predictable overhang in crypto. When a large tranche of insider, private-sale or team tokens vests, it is fresh sell-side supply hitting a fixed amount of demand — and these dates are known in advance. A static "percent unlocked" number (which dilution APIs give) is only a snapshot; what a trader needs is the calendar: when is the next cliff, how many tokens, what share of total supply, and to whom. The protocols endpoint lists every token DeFiLlama tracks a schedule for (searchable). The next endpoint is the trading signal — the next upcoming cliff unlock for a token: its date, days away, token amount, the share of total supply it dilutes, the unlock type and the recipients (insiders, private sale, team, ecosystem), plus the unlocks after it. The schedule endpoint returns the fuller picture: total and max supply, the allocation by category with how much of each is already unlocked, the count of past and future events, the tokens still locked, and the upcoming events. The token-unlock / vesting-schedule cut — distinct from the tokenomics-and-dilution APIs (which give the static supply and FDV snapshot, not the dated unlock calendar) and from price and market-cap APIs. Amounts are in tokens and as a share of total supply; pair with any price API for the dollar value.

Uptime

100.0%

Latency

136ms

Subs

3,234

The supply and borrow rates of on-chain money markets, compared across every major DeFi lending protocol and chain at once — live from DeFiLlama, no key. The same asset earns and costs a different rate on every protocol and every chain: USDC might pay 3% to supply on Aave v3 Ethereum and cost a fraction to borrow somewhere else, and those rates move every block. A single protocol's reserves are only part of the picture; what a lender or borrower wants is the cross-protocol, cross-chain comparison. This API joins DeFiLlama's pool yields with its lend/borrow dataset into one money-market table: for every lending reserve it gives the supply APY (base + reward), the borrow APY (base + reward), the utilisation, the loan-to-value and the dollar size of the supplied and borrowed pools. The markets endpoint returns the full table (filter by asset, chain, protocol, stablecoin, minimum size); the best endpoint returns the top venues to supply an asset (highest APY) or to borrow it (lowest APY) right now; the asset endpoint summarises one asset across all its markets — the min, max, average and median supply and borrow APY, plus the single best place to lend and to borrow. Ranking surfaces exclude DeFiLlama-flagged outlier pools and impossible (>100%) utilisation, so the best rate is a real, harvestable one. The cross-protocol money-market-rates cut — distinct from TVL analytics (which size protocols, not their rates), single-protocol lending APIs (one venue each), and perpetual funding-rate APIs (a different rate entirely).

Uptime

100.0%

Latency

199ms

Subs

3,222

The SOFR term reference rates that actually price US dollar floating-rate loans and notes, live from the Federal Reserve Bank of New York's public markets API — no key, nothing stored. Now that LIBOR is gone, trillions of dollars of loans, FRNs and derivatives reference SOFR, but almost none of them reference the overnight SOFR fixing directly: they reference the New York Fed's compounded SOFR Averages (30-, 90- and 180-day) and the SOFR Index, the backward-looking term rates that turn the daily fixing into a usable loan rate. The rates endpoint returns the three averages, the SOFR Index value and a plain-language read of the term-average slope (with the overnight SOFR for context). The accrual endpoint is the operational one: give it a start and end date and it computes the realized compounded SOFR over that period straight from the SOFR Index — the exact arithmetic (Index_end / Index_start − 1, ACT/360) a loan servicer or FRN desk runs to settle an interest period, with the resulting rate and dollar interest. The history endpoint returns the averages and index as a daily time series. This is the SOFR term-rate / accrual cut — distinct from the overnight money-market benchmark board (the daily SOFR fixing, without the compounded averages or the index) and from the funding-spread stress monitor (the spreads between overnight rates, not the term reference rates).

Uptime

100.0%

Latency

278ms

Subs

3,683

The ratios between gold, silver, platinum and palladium, where they sit in their own multi-year history, and which metal is cheap relative to which — computed live from Yahoo Finance futures, no key, nothing stored. A precious-metal price tells you what an ounce costs; the ratio between two metals tells you which is expensive relative to the other — and these ratios are famously mean-reverting, which is why the gold/silver "mint ratio" is one of the oldest trades there is: when it stretches to an extreme, traders rotate from the dear metal into the cheap one and ride it back. A single current ratio is only half the story; what matters is where that ratio sits in its multi-year range. This API computes the gold/silver, gold/platinum, platinum/palladium, gold/palladium and silver/platinum ratios, and for each returns its current value, its percentile within a multi-year window (the context that turns a number into a signal), the window min/max/average, and a plain-language rotation read — at a high percentile the numerator metal is historically expensive (favour the denominator), at a low percentile the reverse. The ratios endpoint returns the whole complex; the ratio endpoint returns one pair with its component prices; the history endpoint returns the ratio time series. This is the precious-metal-ratio / mean-reversion cut — distinct from the inter-commodity crack/crush spread API (which gives the current gold/silver ratio but no history, percentile or signal), the intermarket-ratio board and the metals spot-price feed. It is the ratio with its history attached.

Uptime

100.0%

Latency

135ms

Subs

3,748

The shape of the commodity futures curve — contango versus backwardation — and the roll yield it pays, computed live from Yahoo Finance dated futures contracts, no key, nothing stored. A single commodity price hides the most important thing about it: what the market charges to hold it forward. When deferred contracts cost MORE than the front (an upward curve, contango) a long futures position bleeds money as it rolls up the curve each month; when they cost LESS (a downward curve, backwardation — classic for crude oil in tight markets) the roll pays you. That roll yield, not the spot move, is what drives the long-run return of commodity-index investing. This API reads the actual dated contracts — the front month and the deferred months out the curve — for crude oil, natural gas, gasoline, gold, silver, copper, corn, wheat and soybeans, and returns the full term structure, the front-to-second-month roll yield annualised, the curve shape and the front-vs-back spread. The curve endpoint returns one commodity's full chain; the screener endpoint ranks every commodity by roll yield, separating the backwardated markets (positive carry for a long) from the contango ones (negative carry). This is the commodity futures term-structure / roll-yield cut — distinct from the crypto dated-futures curve API, the inter-commodity crack/crush spread API, the commodity-momentum and seasonality APIs and the spot price feeds. It is the carry, read straight off the curve.

Uptime

100.0%

Latency

197ms

Subs

4,326