090°Open data
Open datasets, fully documented — searchable here, and readable by any LLM.
125 datasets
US Fuel-Price Signals (derived)
Monthly retail fuel-price signals derived from EIA data via FRED (regular gasoline and on-highway diesel, $/gal): month-on-month and year-on-year changes, 30-month change volatility, 3-sigma anomaly flags vs a trailing-12-month baseline, drift forecasts, per-month cross-series volatility ranks, the gasoline-diesel spread with a 3-year z-score, and pump-shock (>+15% in 3 months) and expensive (>$4/gal) flags. The US-side companion to the Canada fuel signals and the retail-price complement to wholesale crude. Country codes normalized to ISO alpha-3 (USA). Raw data: US Energy Information Administration via FRED.
US Funding-Stress Signals (derived)
Daily US money-market funding-stress signals: TED spread (TEDRATE), the Secured Overnight Financing Rate (SOFR), and the Interest Rate on Reserve Balances (IORB), 2018 ->, with 63-day and 252-day changes, 30-day change volatility, 3-sigma anomaly flags, 21-day naive-drift forecasts, SOFR-above-IORB funding-pressure flags, 5-year spread z-scores, and elevated / severe stress-regime flags. The overnight-funding lens on financial stress — the policy-transmission mechanics behind the composite indices. Companion to us-financial-stress-index-signals (STLFSI4/NFCI composites). All rows normalized to country_code USA. Raw series: Federal Reserve / Federal Reserve Bank of New York via FRED.
US Natural-Gas Market Signals (derived)
Daily US natural-gas market signals from the EIA Henry Hub spot price (FRED DHHNGSP, 1997 ->, $/MMBtu): 90-day momentum, year-on-year change, 30-day change volatility, 3-sigma anomaly flags, naive-drift forecasts, price-spike day flags, an elevated-price ($5+) flag, a 5-year z-score, and a heating-season flag. The natural-gas companion to us-fuel-price-signals (pump prices) — gas moves on weather, storage, and LNG exports, with some of the sharpest spikes of any commodity. All rows normalized to country_code USA. Raw series: U.S. Energy Information Administration via FRED.
US Coastal Sea-Level Signals (derived)
Monthly coastal sea-level signals from eight long-record NOAA CO-OPS tide gauges (The Battery, Atlantic City, Charleston, Mayport, Key West, San Francisco, Port Orford, Juneau): monthly mean sea level with 3-month and 12-month changes, 30-month change volatility, 3-sigma anomaly flags, naive-drift forecasts, trailing-10-year rise trends (mm/year), rise-acceleration flags, record-high flags, and fast-rise flags. The observed coastal sea-level lens on climate change — the ocean-surface consequence to co2-growth (driver) and city-climate-stress (heat). All rows normalized to country_code USA. Raw data: NOAA CO-OPS (keyless, public domain).
US Dollar Strength Signals (derived)
Signals derived from FRED's US-dollar exchange-rate series: 30-trading-day annualized log-return volatility, 63-day momentum, year-over-year percent change, distance from the trailing-1-year high, 3-sigma anomaly flags, naive-drift 21-trading-day forecasts, a per-day cross-series volatility rank, the broad-dollar-index drawdown (DTWEXBGS rows) and the broad dollar's 63-day momentum mapped onto every row's date as the dollar-strength regime gauge. Covers DTWEXBGS (nominal broad U.S. dollar index), DEXUSEU (USD per EUR), DEXCHUS (CNY per USD), DEXJPUS (JPY per USD) and DEXMXUS (MXN per USD), daily. 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); underlying data from the Board of Governors of the Federal Reserve System.
Wage & Productivity Signals (derived)
Monthly/quarterly signals derived from FRED's US earnings and productivity data: 30-period annualized change volatility, ~3-month momentum, 3-sigma anomaly flags vs a trailing 12-month baseline, naive-drift 1-month forecasts, a per-date cross-series volatility rank, the real-wage year-over-year gauge (worker purchasing power) and the productivity-minus-pay gap (the decoupling gauge). Covers nominal average hourly earnings, a connector-derived real-earnings series (CPI-deflated) and nonfarm business labor productivity. 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); underlying data: U.S. Bureau of Labor Statistics.
US Wage-Cost Pressure Signals (derived)
Quarterly US labor-cost signals derived from FRED: the Employment Cost Index (total compensation and wages & salaries — the Fed's preferred wage gauge) and nonfarm unit labor costs, with quarter-on-quarter annualized changes, year-on-year percent changes, 30-quarter annualized change volatility, 1-quarter momentum, 3-sigma anomaly flags vs a trailing 12-quarter baseline, naive-drift 1-quarter forecasts, a per-quarter cross-series volatility rank, CPI-deflated real ECI growth and the ECI-minus-unit-labor-cost spread (the wage-push vs productivity gauge). 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); underlying survey: U.S. Bureau of Labor Statistics.
WB Energy-Access Signals (derived)
Annual energy-access signals from the World Bank API (~1990 -> latest, ~210 economies): electricity access, clean-cooking access and per-capita electric power consumption, with 10-year changes, OLS trend slopes, 3-sigma anomaly flags, 5-year extrapolation forecasts, and SDG 7 gauges: the remaining access gap, a universal-access flag (>=99%), 5-year electrification momentum, a clean-cooking laggard flag (<50%), and a 10-year consumption z-score. The energy-development lens — who has power and how fast access is advancing — the access companion to the electricity-mix lens in owid-energy-transition-signals. Raw indicators: World Bank.
Household Wealth Signals (derived)
Quarterly US household wealth signals from the Fed Z.1 accounts (via FRED, 1951 ->): households and nonprofit organizations net worth in nominal and real (GDP-deflated) terms, with quarter-on-quarter and year-on-year changes, 30-quarter change volatility, 3-sigma wealth-shock flags, drift forecasts, 10-year wealth z-scores, real wealth-growth gauges and a wealth-drawdown flag. The wealth-effect lens on consumption: the stock companion to the saving/debt-flow signals in us-household-balance-signals. All rows normalized to country_code USA. Raw series: Federal Reserve (Z.1) and BEA via FRED.
Weekly Activity Signals (derived)
Weekly US real-activity signals from the New York Fed's Weekly Economic Index (Lewis-Mertens-Stock, redistributed by FRED, 2008 ->): the common component of ten high-frequency series, scaled to four-quarter GDP growth, with 13-week momentum, 26-week change volatility, 3-sigma anomaly flags, drift forecasts, a 5-year activity z-score, and downturn / surge / contraction / rebound flags. The high-frequency nowcasting companion to us-national-activity-signals (monthly CFNAI) and us-output-business-cycle-signals (monthly/quarterly production). All rows normalized to country_code USA. Raw series: Federal Reserve Bank of New York via FRED.
Global Growth-Inflation Momentum Signals (derived)
Annual global macro-momentum signals derived from the IMF World Economic Outlook (~196 countries, 1980 -> 2031 including WEO projections as published): real GDP growth, CPI inflation and unemployment rates with 1-year and 3-year changes, 30-year change volatility, 3-sigma anomaly flags vs a trailing 10-year baseline, naive-drift 1-year forecasts, a per-year cross-country volatility rank, the growth-acceleration gauge, the misery index (inflation + unemployment) and a stagflation screen (growth < 1% with inflation > 5%). All rows are country-normalized to verified ISO alpha-3 codes (IMF analytic aggregates excluded) so they join cleanly with other country-keyed datasets. Raw data: IMF World Economic Outlook; derived signals by Frontier Data Hub.
Wikipedia AI Attention Signals (derived)
Monthly revealed-attention signals from English-Wikipedia pageviews (2015 ->): attention paid to AI-revealing articles (Artificial intelligence, ChatGPT, Large language model, Generative artificial intelligence, Machine learning, Deep learning), with 3-month momentum, 12-month change volatility, 3-sigma anomaly flags, drift forecasts, 5-year attention z-scores, attention-spike flags, and a composite AI-hype index (cross-article mean z-score) with high/extreme hype flags. The technology-hype companion to wiki-economic-attention-signals (economic anxiety topics). All rows normalized to country_code WLD (global internet attention). Raw data: Wikimedia Foundation pageview statistics API.
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