090°Open data
Open datasets, fully documented — searchable here, and readable by any LLM.
128 datasets
Bank Credit Cycle Signals (derived)
Signals derived from FRED's US bank-credit series: 30-period annualized volatility of changes, 3-month momentum, year-over-year level change, 3-sigma anomaly flags, naive-drift 1-month forecasts, a per-date cross-series volatility rank, and a delinquency stress-regime flag (1 when the real-estate delinquency rate exceeds its trailing-5-year 75th percentile) mapped onto every row's quarter. Covers TOTLL (weekly bank credit of all commercial banks), BUSLOANS (monthly commercial & industrial loans), REVOLSL (monthly consumer credit outstanding) and DRALACBN (quarterly delinquency rate on all real-estate loans). All rows are normalized to country_code USA so they join cleanly with US macro data. Raw series: Federal Reserve Bank of St. Louis (FRED).
Crypto Fear & Greed Signals (derived)
Daily crypto-sentiment signals from the alternative.me Crypto Fear and Greed Index (2018-02 ->, 0–100): 7-day and 30-day momentum, 30-day change volatility, 3-sigma anomaly flags, naive-drift forecasts, extreme-fear (<=25) and extreme-greed (>=75) regime flags, a 90-day sentiment z-score, and the provider's own classification. The crypto-sentiment companion to fng-signals (CNN stock-market Fear & Greed) — crypto runs its own sentiment cycle, often leading equities. Keyless JSON API; commercial redistribution not explicitly granted (marked unclear). Global market, rows labeled WLD. Raw series: alternative.me (tobieskrambs GmbH).
Crypto Market Signals (derived)
Daily crypto market signals derived from CoinGecko's keyless free API for the 10 largest cryptocurrencies by market capitalization: 30-day annualized volatility, 3-month momentum, 3-sigma anomaly flags, naive-drift 1-month forecasts, a per-day cross-crypto volatility rank and the trailing-365-day drawdown gauge. Keyed to WLD (World); raw prices: CoinGecko (keyless free tier).
Sovereign Debt Signals (derived)
Annual ML-enriched sovereign debt signals for ~190 economies, derived from IMF World Economic Outlook data: government gross debt (% of GDP), 1-year and 5-year debt changes (percentage points), the current account balance (% of GDP) for twin-deficit analysis, 30-period change volatility, 3-year momentum, 3-sigma anomaly flags versus a trailing 10-year baseline, naive-drift 1-year forecasts, and a per-year cross-country volatility rank. Raw indicators: International Monetary Fund (World Economic Outlook); signals computed locally. All rows carry ISO alpha-3 country_code and join cleanly with other macro datasets.
Defense Spending Signals (derived)
Annual military-expenditure burden signals from the World Bank World Development Indicators (SIPRI via WDI, 1960 ->, % of GDP, keyless): per-economy 5-year changes, 10-year OLS trend slopes, 3-sigma anomaly flags, linear-extrapolation forecasts, 10-year z-scores, per-year cross-country ranks, and high/low spender and rearmament-surge flags. The defense-burden lens — rearmament waves and drawdowns normalized across economies — not covered elsewhere in the catalog. Country labels normalized to ISO alpha-3. Raw data: World Bank WDI indicator MS.MIL.XPND.GD.ZS.
DeFi TVL Signals (derived)
Daily DeFi total-value-locked signals from DefiLlama for the top 12 chains by TVL (2017 ->): daily TVL in USD with 63-day and 252-day changes, 30-day change volatility, 3-sigma anomaly flags, 30-day naive-drift forecasts, 5-year TVL z-scores, capital-flight drawdown flags, and per-chain dominance shares. The on-chain-capital lens on crypto — real capital deployed in DeFi, independent of token prices. Companion to crypto-price-signals (prices) and bitcoin-network-health-signals (single-network fundamentals). All rows normalized to country_code WLD. Raw data: DefiLlama (keyless API).
Digital-Adoption Signals (derived)
Global digital-adoption signals from World Bank connectivity indicators (keyless API, annual, ~1990 -> 2024, 200+ economies): Internet use (% of population), mobile subscriptions and fixed broadband subscriptions (per 100 people), with 10-year changes, OLS adoption-velocity trends, 3-sigma anomaly flags, 5-year linear-extrapolation forecasts, per-year cross-country ranks, a 5-year catch-up momentum gauge, the digital-divide gap versus the global median, and a connectivity-laggard flag. The first tech/digital-domain value-added set: which countries are catching up and which are falling behind. World Bank API terms permit non-commercial use only — commercial_use flagged 'no' in the UI. All rows normalized to ISO alpha-3 country codes so they join cleanly with every other global dataset. Raw data: World Bank (via ITU).
Displacement-Pressure Signals (derived)
Yearly forced-displacement pressure signals derived from the UNHCR Refugee Population Statistics Database demographics (2001 ->): per-country totals hosted (HOST_<ISO3>) and originated (ORIGIN_<ISO3>), with 5-year change, 10-year OLS trend slopes, 3-sigma anomaly flags, 5-year linear-extrapolation forecasts, per-year cross-country ranks, global burden shares, surge flags, and top-10 host/origin flags. The humanitarian-flow companion to wb-poverty-inequality-signals and wb-demographic-transition-signals. All country labels normalized to ISO alpha-3. Raw data: UNHCR Refugee Population Statistics Database (CC-BY-4.0).
Debt-Service Stress Signals (derived)
Quarterly financial-stress signals derived from BIS debt service ratios (keyless SDMX, WS_DSR, ~30 economies, 1999 ->): the DSR (interest + amortisation over income, %) for households, non-financial corporations and the private non-financial sector, with quarter-on-quarter and year-on-year changes, 30-quarter change volatility, 3-sigma anomaly flags vs a trailing-12-quarter baseline, drift forecasts, per-quarter cross-country volatility ranks, 10-year DSR z-scores, high-stress and rising-burden flags, and the household-minus-corporate sectoral spread. The debt-burden-stress companion to the credit-cycle gap signals. Country codes normalized to ISO alpha-3. Raw data: Bank for International Settlements.
ECB Balance-Sheet & Liquidity Signals (derived)
Weekly euro-area ECB liquidity signals from the ECB's total assets (FRED ECBASSETSW, 1999 ->, millions of euros): 13-week momentum, year-on-year change, 30-week change volatility, 3-sigma anomaly flags, naive-drift forecasts, a quantitative-tightening regime flag, a 5-year balance-sheet z-score, and an aggressive-expansion flag. The ECB-side companion to fed-liquidity-signals (WALCL) — balance-sheet expansion (QE) and contraction (QT) drive euro-area financial conditions, sovereign spreads, and the euro. Series covers the changing euro-area composition (11 to 20 countries); rows carry the stable EA20 aggregate code. Raw series: European Central Bank via FRED.
Education Spending Signals (derived)
Annual government education-expenditure signals from the World Bank World Development Indicators (UNESCO via WDI, 1970 ->, % of GDP, keyless): per-economy 5-year changes, 10-year OLS trend slopes, 3-sigma anomaly flags, linear-extrapolation forecasts, 10-year z-scores, per-year cross-country ranks, and high/low spender and investment-push flags. The education-investment lens — which governments are building human capital and which are disinvesting — not covered elsewhere in the catalog. Country labels normalized to ISO alpha-3. Raw data: World Bank WDI indicator SE.XPD.TOTL.GD.ZS.
EM Currency Stress Signals (derived)
Signals derived from FRED's daily emerging-market FX series (local currency per USD) for India, Brazil, South Korea and Thailand: 30-day annualized log-return volatility, 63-day depreciation momentum, 1-year depreciation, drawdown depth vs the trailing 1-year high, 3-sigma currency-shock anomaly flags, naive-drift 21-day forecasts and a per-day cross-currency volatility rank. The EM-stress companion to the broad US-dollar-strength signals. All rows carry canonical country_code so they join cleanly with country-keyed macro data. Raw series: Federal Reserve Bank of St. Louis (FRED), underlying data Federal Reserve Board.
Once today's free allowance is used up, AI features can run on your own provider account.
Kept in this browser tab only (cleared when you close it) and sent with each AI request. Our servers use it for that request and never store or log it.