090°Open data
Open datasets, fully documented — searchable here, and readable by any LLM.
142 datasets
Borrowing-Cost Signals (derived)
US household borrowing-cost signals from Federal Reserve Board lending rates (redistributed by FRED): the bank prime loan rate (monthly, 1949 ->), the commercial-bank credit-card rate and the 48-month new-auto loan rate (quarterly, NSA), with frequency-aware momentum, change volatility, 3-sigma anomaly flags, drift forecasts, cross-series ranks, the lender risk-premium spread over prime, the unsecured-vs-secured (card-minus-auto) wedge, a 5-year borrowing-cost z-score and a high-cost flag. The price-of-credit complement to fred-mortgage-rate-signals (mortgages), us-bank-credit-cycle signals (volumes) and us-bank-lending-standards-signals (willingness to lend). All rows normalized to country_code USA. Raw series: Board of Governors of the Federal Reserve System via FRED.
Brazil Macro Signals (derived)
Brazilian macro signals from the Banco Central do Brasil's SGS system (keyless API): the Selic target rate (daily), the USD/BRL exchange rate (daily) and IPCA consumer-price inflation (monthly), with 63-day/3-month momentum, 30-period change volatility, 3-sigma anomaly flags, drift forecasts, cross-series ranks, the real Selic rate (Selic minus IPCA 12-month), a 12-month BRL depreciation gauge, a restrictive real-rate flag and a 5-year Selic z-score. The first Latin America / emerging-market central-bank lens in the catalog, complementary to em-currency-stress-signals (FX only) and the developed-market policy sets. All rows normalized to country_code BRA. Raw data: Banco Central do Brasil (commercial re-use terms not verifiable from this machine — flagged unclear in the UI).
5Y Breakeven Inflation Signals (derived)
Daily US market-implied inflation-expectations signals from the 5-year breakeven inflation rate (FRED, 2003 ->): the bond market's priced-in 5-year inflation expectation, with 63-day momentum, 30-day annualized change volatility, 3-sigma shock flags, 21-day drift forecasts, a 1-year expectations z-score, the anchoring gap versus the Fed's 2% target, above-target and de-anchoring flags. The market-implied counterpart to the consumer-survey expectations set: what traders, not households, expect. All rows normalized to country_code USA. Raw series: Federal Reserve Bank of St. Louis via FRED.
Bitcoin Network Signals (derived)
Daily Bitcoin on-chain network-health signals from Blockchain.com's keyless charts (full history, 2011 ->): hash rate (TH/s), confirmed transactions per day, transaction fees (USD/day), mining difficulty, and total miner revenue (USD/day), with 90-day momentum, year-on-year change, 30-day change volatility, 3-sigma anomaly flags, naive-drift forecasts, a 5-year network z-score, a miner-capitulation drawdown flag, and a fee-congestion flag. The network-fundamentals companion to crypto-price-signals (what the market says) and crypto-fear-greed-index-signals (what it feels) — this watches what the chain does. All rows normalized to country_code WLD (global network). Raw data: Blockchain.com charts API.
US Business-Formation Signals (derived)
Weekly US business-formation signals from Census Bureau Business Formation Statistics (FRED BUSAPPWNSAUS + HBUSAPPWNSAUS, 2006 ->): total and high-propensity business applications with 13-week momentum, year-on-year change, 30-week change volatility, 3-sigma anomaly flags, naive-drift forecasts, and the high-propensity share of applications (the quality mix of the startup pipeline). The entry-margin lens on the US business cycle — applications lead formations, and high-propensity applications lead employer births. Companion to us-labor-market-signals (established firms) and us-state-coincident-activity-signals (output). All rows normalized to country_code USA. Raw series: U.S. Census Bureau Business Formation Statistics via FRED.
Canada Pump-Price Signals (derived)
Retail pump-price signals derived from Statistics Canada's monthly average retail gasoline, diesel and household heating fuel prices: cents per litre by city/province and fuel type since 1979, with month-on-month and year-on-year changes, 3-month momentum, 12-month annualized change volatility, 3-sigma anomaly flags vs a trailing 12-month baseline, naive-drift 1-month forecasts, per-month cross-city momentum ranks, and each city's spread versus the national average. The monetizable signals layer on top of raw StatCan retail fuel prices. Raw series: StatCan via the CKAN open-data portal (monthly average retail prices for gasoline and fuel oil).
Global Carbon Accountability Signals (derived)
Value-added carbon-accountability signals from free Our World in Data CO2 data: per-capita emissions, carbon intensity of GDP, global and cumulative emission shares with decarbonization trends, peaked-emissions flags, anomaly flags and cross-country ranks across ~200 countries. All computation is local pandas/numpy; no paid models or APIs.
US State Chronic-Disease Disparity Signals (derived)
State-level chronic-disease signals derived from the CDC Chronic Disease Indicators: prevalence, mortality and hospitalization trends for diabetes, cardiovascular disease, COPD and mental health across 55 US states/territories (2019-2023), with year-on-year changes, momentum, 3-sigma anomaly flags vs a trailing 3-year baseline, naive-drift 1-year forecasts, cross-state momentum ranks, and Black-White and female-male disparity gaps. The monetizable health-equity signals layer on top of raw CDC chronic-disease statistics. Raw series: CDC Chronic Disease Indicators (Socrata).
National Activity Signals (derived)
Monthly signals derived from the Chicago Fed National Activity Index (redistributed by FRED, 1967-03 ->): 30-month change volatility, 3-month momentum, 3-sigma anomaly flags vs a trailing 12-month baseline, naive-drift 1-month forecasts, the Chicago Fed's 3-month moving-average business-cycle gauge, recession and expansion flags at the Chicago Fed's +/-0.70 thresholds, and a 5-year activity-regime z-score. 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: Federal Reserve Bank of Chicago.
US-China Trade Signals (derived)
US-China bilateral goods-trade signals (Census via FRED, monthly 1985 ->): import/export momentum, 30-period change volatility, 3-sigma shock flags, drift forecasts, the bilateral deficit tracker, its 5-year z-score and the export reciprocity gauge. The bilateral lens: where the decoupling story shows up in the numbers. US government data via FRED (free, keyless-by-reuse of the existing FRED key).
Global City Climate Stress Signals (derived)
Value-added monthly climate-stress signals for 54 world cities from free NASA POWER data: cooling/heating degree days (energy demand proxies), precipitation anomalies (drought/wetness), solar and wind resource anomalies, and heat/cold stress flags — 1981 to present. All computation is local pandas/numpy; no paid models or APIs.
Climate Heat Signals (derived)
Daily heat-extreme signals derived from NASA POWER daily weather for 54 world cities (2020-01-01 to yesterday): 3-sigma heat-anomaly flags against day-of-year climatology, heatwave streak counts, 30-day temperature volatility, 63-day warming momentum, naive seasonal 1-month forecasts and a per-day cross-city heat-anomaly rank. Cities are mapped to ISO country codes so the signals join cleanly with country-keyed macro data. Raw weather: NASA POWER.
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