API marketplace

Where dollar stablecoin liquidity actually lives, read live and keyless from each blockchain. USDC and USDT are issued natively on many chains, and the split between them is one of the most-watched signals in the layer-2 wars: Ethereum mainnet still holds the bulk, but Base, Arbitrum and the other rollups have been pulling stablecoin supply across as activity migrates. This API reads the native USDC and USDT supply directly from the token contract on each chain — Ethereum, Base, Arbitrum, Optimism, Polygon and Avalanche — not a single chain and not an aggregator, so you see the real on-chain distribution. The stablecoin endpoint takes a symbol (USDC or USDT) and returns its supply on every tracked chain, ranked, each with its share of that stablecoin and the Ethereum-versus-rollup split. The chains endpoint ranks the chains by their total native stablecoin liquidity (USDC and USDT together) — which chain hosts the most dollars. The summary endpoint is the top-down view: total USDC, total USDT, the combined total, the USDT-to-USDC ratio, and Ethereum's dominance versus the share that has moved to the rollups. Because USDC and USDT are dollar-pegged and read at the token's own on-chain decimals (read live from each contract, never assumed), the supply equals the dollars of stablecoin on that chain; only natively-issued supply is counted (bridged and peg tokens are excluded). This is the stablecoin chain-distribution cut — distinct from the single-chain token feeds, the generic stablecoin-supply aggregators and the price feeds: it is specifically the cross-chain liquidity map. Amounts are in US dollars. No key, nothing stored beyond a short cache.

Uptime

100.0%

Latency

143ms

Subs

3,176

How much Bitcoin lives on Ethereum, and through whose vault, read live and keyless straight from the Ethereum blockchain. Bitcoin itself can't run in DeFi, so it gets "wrapped": a custodian (or a decentralised bridge) locks real BTC and mints a 1:1 ERC-20 that trades on Ethereum. WBTC (BitGo) was the original and long the only one that mattered, but after the 2024 custody controversy a competitive market opened up — Coinbase's cbBTC, the decentralised tBTC (Threshold), Lombard's LBTC, Kraken's kBTC and others now split the pie. The wrappers endpoint lists every tracked wrapped-Bitcoin token ranked by the BTC it holds, each with its issuer/custodian, the BTC backing it, its US-dollar value and its share of all wrapped BTC, plus the totals. The token endpoint returns one wrapper's detail by symbol. The dominance endpoint is the concentration view — WBTC's share, the split between custodial wrappers (a company holds the BTC) and the decentralised one, and how concentrated the market is — the counterparty-risk picture for Bitcoin in DeFi. Each token's BTC backing is read as its on-chain total supply divided by its own decimals (read live from the contract — they are not all 18: WBTC and cbBTC use 8, tBTC uses 18), which equals the BTC held because every wrapper is minted 1:1 against locked Bitcoin. This is the wrapped-BTC / BTC-on-Ethereum cut — distinct from the coin price feeds, the generic ERC-20 token-info feed and the stablecoin feeds. Supplies are in BTC; values in USD (BTC priced from Yahoo Finance). No key, nothing stored beyond a short cache.

Uptime

100.0%

Latency

105ms

Subs

3,747

Live data for Ethena's USDe, the largest synthetic dollar in crypto, read keyless from Ethena's public yield feed and directly from the Ethereum blockchain. USDe is not backed by fiat in a bank like USDC — it is a delta-neutral synthetic dollar: Ethena holds staked ETH/BTC and shorts the matching perpetual futures, so the position is hedged to roughly one dollar while the funding and staking it earns become the yield. Stake USDe into sUSDe and you receive that yield; sUSDe is the yield-bearing version and its value in USDe grows every day. The yield endpoint returns Ethena's yields — the current protocol yield and sUSDe staking yield plus the 30-day, 90-day and since-inception average sUSDe APY — the carry the synthetic dollar throws off, which rises and falls with the perpetual-futures funding market. The supply endpoint reads the Ethereum contracts directly: the circulating USDe supply, the amount of USDe staked in sUSDe, the sUSDe share count, the sUSDe-to-USDe exchange rate (how much USDe one sUSDe is now worth — above 1.0 because yield has accrued) and the staking ratio (what share of USDe is staked and earning). The overview endpoint is the at-a-glance snapshot combining the supply and the live yield. This is the Ethena / USDe synthetic-dollar cut — distinct from the generic multi-stablecoin supply feeds, the DeFi lending-rate and yield-aggregator feeds, and the generic ERC-20 token-info feed: the single-protocol view of how the synthetic dollar is sized, staked and yielding. Yields are annualised percentages; supplies are in USDe; the exchange rate is USDe per sUSDe. No key, nothing stored beyond a short cache.

Uptime

100.0%

Latency

208ms

Subs

3,811

The public stocks that give exposure to crypto, tracked live and keyless from Yahoo Finance — the Bitcoin miners, the exchanges and brokers, and the Bitcoin-treasury companies that trade as a high-beta play on the asset class. Beyond the spot ETFs, a whole complex of operating companies moves with crypto: the miners (MARA, RIOT, CleanSpark, IREN and more), the exchanges and brokers (Coinbase, Robinhood) and the treasury companies (Strategy/MSTR and others) that hold Bitcoin on their balance sheet. These equities typically move several times harder than Bitcoin itself, which makes them the high-beta way to trade the theme and a real-time read on how the market is pricing the crypto business. The stocks endpoint lists every tracked crypto-related stock, ranked by trading volume, each with its price, daily change, volume and category. The category endpoint filters to one group — miners, exchanges or treasury — with that group's average daily move, so you can see which part of the complex is leading. The stock endpoint returns one company's detail by ticker. The summary endpoint is the complex-wide read: the average move of the miners versus the exchanges versus the treasury companies, the leading sub-group and the day's biggest gainer and loser (the miners, being highest-beta, usually lead in both directions). This is the crypto-equities cut — distinct from the spot-crypto-ETF feed (passive funds that hold the coin, not operating companies), the corporate-Bitcoin-treasury feed (which reports how much BTC each company holds, not its stock price) and the coin price feeds. It tracks equity market activity (price, daily change, volume); prices and volumes are in USD. No key, nothing stored beyond a short cache.

Uptime

100.0%

Latency

153ms

Subs

3,422

The US spot Bitcoin and Ethereum exchange-traded funds, tracked live and keyless from Yahoo Finance — the single biggest channel for institutional money into crypto. Since the 2024 launch of spot crypto ETFs, IBIT (BlackRock), FBTC (Fidelity), GBTC (Grayscale), ARKB, BITB and the rest trade billions of dollars a day, and their activity is a cleaner read on institutional appetite than any on-chain metric. The bitcoin endpoint lists every tracked spot Bitcoin ETF, ranked by trading volume, each with its price, daily change and volume, plus the aggregate total volume across all the funds and the day's volume leader. The ethereum endpoint does the same for the spot Ethereum ETFs (ETHA, FETH, ETHE and the rest). The etf endpoint returns one fund's detail by ticker. The summary endpoint is the institutional-appetite snapshot: total Bitcoin-ETF versus Ethereum-ETF trading volume and the ratio between them — which asset institutions are leaning into today — with the leading fund on each side. This is the spot-crypto-ETF trading cut — distinct from the coin price and market-cap feeds, the on-chain and mining feeds, and the Bitcoin valuation-model feed. It tracks ETF market activity (price, daily change, volume); it does NOT report fund flows or assets-under-management, which are not available without a paid/closed source — trading volume is the keyless institutional-interest proxy. Prices and volumes are in USD as reported by the exchange. No key, nothing stored beyond a short cache.

Uptime

100.0%

Latency

129ms

Subs

3,993

The Bitcoin cycle-timing valuation models that tell you whether BTC is historically cheap or expensive right now, computed live and keyless from price (Yahoo Finance daily closes) and on-chain data (the public blockchain.com charts feed). These are not raw time series and not a price feed — they are the derived indicators that on-chain analysts and cycle traders watch to judge where Bitcoin sits between deep value and euphoria. The mayer endpoint returns the Mayer Multiple — price divided by its 200-day moving average — the simplest and most durable over/undervaluation gauge (buying under ~1 and trimming over ~2.4 has historically timed cycles well). The puell endpoint returns the Puell Multiple — daily miner revenue divided by its 365-day average — a miner-side gauge that marks capitulation bottoms (under ~0.5) and tops (over ~4). The nvt endpoint returns the NVT ratio — market cap divided by the 90-day average of on-chain transaction value — Bitcoin's answer to a price/earnings ratio, where a high reading means price is rich relative to the value actually settling on-chain. The s2f endpoint returns the Stock-to-Flow scarcity ratio — circulating supply divided by the realised annual issuance (the flow measured empirically from the supply actually minted over the last 365 days); the S2F price model derived from it is included but clearly flagged as controversial and historically over-optimistic (the response also reports how far the model sits above the actual price). The summary endpoint puts all four side by side with an aggregate cycle read. This is the valuation-model / cycle-indicator cut — distinct from the raw Bitcoin on-chain time-series feeds (which report hashrate, miner revenue and transaction counts but not the derived ratios), the network-security feed (difficulty, hashrate, halving), the block-explorer feed and the crypto-macro correlation feed. Ratios are unitless; model and actual prices are in USD. No key, nothing stored beyond a short cache.

Uptime

100.0%

Latency

203ms

Subs

4,593

Institutional (13F) ownership of US stocks, live and keyless, from Nasdaq's public company data. Every quarter the big money — Vanguard, BlackRock, State Street, hedge funds and pensions — must disclose its US equity holdings in 13F filings, and that ownership is one of the most-watched fundamentals: how much of a stock is held by institutions, which funds hold it, and whether smart money is accumulating or distributing it. The ownership endpoint gives a stock's institutional-ownership summary: the percentage of the company held by institutions, the total shares outstanding, the total dollar value of institutional holdings and the count of holders. The holders endpoint is the league table of the largest institutional holders — each fund with the shares it holds, how that changed last quarter (shares and percent), the dollar value and the filing date. The activity endpoint is the accumulation/distribution view: how many institutions increased, decreased, opened (new) or closed (sold-out) their positions and the shares involved, plus a net read on whether institutions were net buyers or sellers. This is the 13F institutional-ownership cut — distinct from the insider feed (company officers' and directors' own Form 4 trades), the short-interest feed (shares sold short and days-to-cover) and the analyst, quote and movers feeds. 13F holdings are disclosed quarterly, so the data updates each filing season, not intraday. Shares are counts, values in US dollars, percentages as reported. No key, nothing stored.

Uptime

100.0%

Latency

744ms

Subs

3,256

What it actually costs a user to transact on each Ethereum layer-2 rollup, live and keyless, powered by the public growthepie dataset. Ethereum's base layer is expensive, so most activity has moved to rollups — Arbitrum, Base, OP Mainnet, zkSync Era, Linea, Scroll, Starknet, Mantle, Mode, Metis, Celo, Taiko, Unichain — but the cost of a transaction varies a lot between them, and that is the number a user choosing a chain, or a developer deciding where to deploy, actually wants. This answers "which L2 is cheapest to use right now", in plain dollars. The chains endpoint is the league table: every tracked rollup ranked from cheapest, each with its median transaction cost (USD and ETH), native-transfer cost, token-swap cost, average cost and throughput (transactions per second and Mgas/s); Ethereum L1 is included as the baseline so you can see the L2 saving. The chain endpoint returns one rollup's full current cost-and-performance detail plus a short recent history of its median cost. The cheapest endpoint cuts to the chase — the single cheapest rollup right now for a simple transfer and for a token swap, and how much cheaper that is than Ethereum L1. Because the upstream rounds USD to four decimals (so ultra-cheap rollups would read $0.00), the dollar figures are recovered precisely from each chain's exact ETH cost and the ETH price implied by the same payload — no second data source. This is the L2 user-transaction-cost cut — distinct from the L2 economic-activity feed (active addresses, transaction count, rollup revenue and profit: what the chains earn, not what they cost you), from the multi-chain gas-oracle (gas tiers in gwei) and from the blob data-availability fee market (the L1 cost rollups pay to post data). Costs in USD and ETH, throughput in TPS and Mgas/s, no key, nothing stored.

Uptime

100.0%

Latency

290ms

Subs

4,757

Bitcoin's network-security and mining-economics layer, live and keyless, powered by mempool.space — hashrate, mining difficulty, the difficulty-adjustment countdown, the halving countdown and per-window block-reward economics. These are the numbers that describe how hard Bitcoin is to mine and how secure the chain is, not a price and not a block explorer. The difficulty endpoint is the flagship: the current mining difficulty plus the live adjustment countdown — how far through the current 2016-block epoch we are, the projected size of the next adjustment (Bitcoin retargets every two weeks so blocks stay ~10 minutes apart), the blocks remaining to the retarget, the estimated retarget date and the realised average block time. The hashrate endpoint returns the current network hashrate in EH/s plus a historical hashrate-and-difficulty timeseries over a chosen window (1m to all). The halving endpoint is the countdown to the next block-subsidy halving — the current block height, the current subsidy in BTC, the next halving block and how many blocks and days remain. The rewards endpoint returns block-reward economics over a recent window: the total miner reward, the fee share, and the per-block averages, all in BTC. This is the Bitcoin difficulty / hashrate / halving cut — distinct from the Bitcoin block-explorer feed (mempool, fees, blocks, addresses, transactions), the mining-pool-distribution feed (who finds the blocks and how centralised), and the multi-coin mining-profitability feed. Hashrate in EH/s, difficulty raw and in trillions, rewards in BTC, times in UTC. No key, nothing stored.

Uptime

100.0%

Latency

277ms

Subs

4,855

The Solana MEV (maximal extractable value) layer via Jito, live and keyless. On Solana, Jito runs the dominant block-engine: searchers bundle transactions and attach a tip to land them, validators running the Jito client capture that MEV, and a slice flows to JitoSOL stakers. This API exposes the two numbers that matter to anyone building or trading on Solana. The tip-floor endpoint returns the live MEV tip floor — the landed-tip amount at the 25th, 50th, 75th, 95th and 99th percentile (in SOL and lamports) plus the smoothed (EMA) median: the real-time price of priority that every Solana trading bot reads before sending a bundle. The rewards endpoint returns the daily MEV economy — for each recent day the number of MEV tips, how many distinct tippers paid, and the total SOL tipped to validators and to Jito: a read on how much MEV Solana is generating. The validators endpoint ranks the Jito-running validators by stake, each with its MEV commission, priority-fee commission, Jito-directed stake and current-epoch MEV rewards — the MEV configuration of Solana's validator set. This is the Solana MEV / Jito cut — distinct from the Ethereum MEV-Boost builder-and-relay feed (a different chain and mechanism: Solana uses a tip auction, not a builder market), from the Solana validator-decentralisation feed (stake distribution, not MEV) and from the Solana network-performance feed. Tips and rewards are in SOL (tips also in lamports); stake is in SOL; commissions in percent. Sourced live from Jito's public APIs, keyless.

Uptime

100.0%

Latency

260ms

Subs

4,762

Solana token safety and rug-risk analysis, live from the public RugCheck API, no key. On Solana anyone can mint a token in seconds, and the memecoin firehose is full of scams — tokens whose creator can still mint unlimited supply, freeze your wallet, or whose liquidity isn't locked and can be pulled. RugCheck is the safety layer the ecosystem uses before buying: it inspects a token's on-chain authorities, holder distribution, liquidity and LP locks and turns them into a risk score and a list of concrete red flags. The report endpoint is the core: pass a token mint and get its risk score, whether it has already rugged, the list of specific risks (each with a severity level), whether the mint and freeze authorities are still active (a live mint authority means the supply can be inflated; a live freeze authority means your tokens can be frozen), the holder count, the liquidity, and how concentrated the supply is in the top holder, top-10 holders and insiders. The recent endpoint lists the tokens the community is checking right now, each with its risk score. The new endpoint is the launch firehose — the newest mints, flagged by whether their mint and freeze authorities are still open. The verified endpoint lists tokens that have been verified. This is the token-safety / rug-risk cut for Solana — distinct from the scam/phishing/dApp-safety feed (URL and approval checks via GoPlus, not on-chain token risk), the launchpad firehose, the DEX-pair screeners and the price feeds. It pairs naturally with a memecoin launchpad feed: launch there, check the risk here. A higher risk score means more red flags. Built for crypto trading bots, memecoin scanners, wallet-safety and risk tools.

Uptime

100.0%

Latency

115ms

Subs

4,781

The live performance and monetary health of the Solana blockchain, read straight from public Solana RPC nodes, no key. Solana is one of the highest-throughput blockchains in crypto, and its network state — how fast it is processing transactions right now, where it is in the current staking epoch, how much SOL exists and how fast new SOL is being minted — is the heartbeat that traders, validators and builders watch. The status endpoint is the live dashboard: the current epoch and how far through it the chain is (with an estimate of the time left until the next epoch), the absolute slot and block height, the lifetime transaction count, the current transactions-per-second, the average slot time and the node health. The supply endpoint returns the SOL money supply — total, circulating and non-circulating — with the circulating share and the live inflation rate broken into its validator and foundation parts. The performance endpoint returns the recent throughput samples — transactions, slots and TPS over the last few one-minute windows — so you can see whether the chain is speeding up or slowing down. This is the Solana network performance / monetary cut, distinct from the Solana validators feed (which ranks validators by stake and measures decentralisation), and from the price, DeFi and on-chain-token feeds. SOL amounts are in whole SOL (converted from lamports); rates are percentages; everything is live. Built for crypto dashboards, trading and infrastructure-monitoring tools.

Uptime

100.0%

Latency

1728ms

Subs

3,299

Cross-chain messaging and bridging activity across the Wormhole network — one of crypto's largest interoperability protocols, carrying messages and bridged value between 30+ blockchains (Ethereum, Solana, the major L2s, BNB Chain, Sui, Aptos and more) — live from the public Wormholescan API, no key. Over its life Wormhole has relayed well over a billion messages; cross-chain volume is a core health metric of the multi-chain economy: how much value is actually moving between ecosystems, which chains are the busiest source of that flow, and which assets are being bridged. The stats endpoint is the global scorecard: total messages ever relayed, total bridged volume and the value locked, plus message counts and volume over the last 24 hours, 7, 30, 90 days and a year. The chains endpoint ranks the blockchains by their cross-chain transfer activity over the last day — the number of transfers leaving each chain and the dollar volume — so you can see which ecosystems are the busiest exporters of value. The assets endpoint ranks the tokens being bridged the most by dollar volume. This is the cross-chain messaging / bridge-flow cut — distinct from single-bridge feeds (Across, THORChain), the DeFi-TVL and DEX feeds, and the on-chain and price feeds. Volumes and value locked are in US dollars; everything is live. Built for crypto cross-chain analytics, bridge monitoring and multi-chain dashboards.

Uptime

100.0%

Latency

516ms

Subs

3,126

Who actually builds Ethereum's blocks and which relays deliver them — live from the public MEV-Boost relay APIs, no key. Since the Merge most Ethereum validators outsource block construction through MEV-Boost: specialised block builders compete to assemble the most valuable block (capturing MEV — arbitrage, liquidations, sandwiches — plus priority fees), relays act as trusted middlemen between builders and validators, and the validator simply signs the highest-paying block. This builder-and-relay market is one of the most important and most centralised pieces of Ethereum's infrastructure — a handful of builders win the large majority of blocks — so tracking who is winning and how much they pay is core to Ethereum decentralisation and MEV analytics. The builders endpoint ranks block builders by how many of the recent blocks they won, with each builder's block share, the total and average value (in ETH) they paid validators, and a name where the builder's public key is known. The relays endpoint shows each MEV-Boost relay's reach across the major relays (Flashbots, Ultrasound, bloXroute, Agnostic, Aestus, Titan). The blocks endpoint lists the most recent blocks delivered through MEV-Boost, each with its builder, the value paid to the proposer, gas used, transaction count and which relays delivered it. This is the block-building / MEV-Boost cut, the supply side of Ethereum block production — distinct from the blob-space fee market, the execution-gas oracle, the ETH supply/burn feed and the on-chain and DeFi feeds. Values are in ETH; everything is live. Built for Ethereum infrastructure, MEV research, staking and analytics tools.

Uptime

100.0%

Latency

189ms

Subs

4,710

The Pump.fun memecoin launchpad firehose — the dominant Solana token-launch platform — live, no key. On Pump.fun anyone can mint a token in seconds; it trades on a bonding curve and "graduates" to a real DEX once it reaches the graduation market cap. Thousands of new tokens launch every day and the platform is one of the highest-volume venues in all of crypto, so the stream of what is being created, what is climbing and what is graduating is a live pulse of crypto's most speculative, fastest-moving corner. The newest endpoint is the launch firehose — the tokens minted most recently, with their symbol, name, creator, age, market cap, socials and reply count. The top endpoint ranks Pump.fun tokens by market cap — the winners, the memecoins that actually took off and in many cases graduated to a DEX. The live endpoint is the crossover cut: the tokens whose creators are livestreaming right now, ranked by viewer count. The coin endpoint returns any token's full profile by mint address — market cap, graduation status, reply count, socials, creator and age. This is the launchpad / bonding-curve cut, the pre- and post-graduation life of a memecoin at its source — distinct from the DEX-pair screeners (which track established pairs already trading on a DEX, not the launchpad), the CEX price and market-cap feeds, and the DeFi-TVL and on-chain feeds. Market caps are in US dollars; everything is live. Built for crypto trading bots, memecoin scanners, risk and analytics dashboards.

Uptime

100.0%

Latency

240ms

Subs

3,421

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