090°Open data
Open datasets, fully documented — searchable here, and readable by any LLM.
4 datasets
US Business-Cycle & Core-Inflation Intelligence (FRED, keyless)
Monthly US core-inflation intelligence panel, 1959-01 onward: the Personal Consumption Expenditures price index excluding food and energy (chain-type index, 2017=100, seasonally adjusted; FRED PCEPILFE), the Federal Reserve's preferred inflation gauge. Carries 1-month, 3-month-annualized and 12-month percent changes plus an above_target_flag marking months where 12-month core inflation sits at or above the FOMC's 2% objective. Upstream: U.S. Bureau of Economic Analysis, Personal Income and Outlays release, redistributed keyless via FRED fredgraph.csv (restores the level series purged from the API-key FRED connector on 2026-09-29). Method caveats: chain-type indexes reweight continuously, so index levels are not comparable across distant eras without the percent changes; BEA revises history with annual updates. One row per month x USA; in-window nulls fail loudly, never imputed. Who joins this: online shops join pricing and demand on year_month + country_code; subscription businesses test whether above-target inflation months lead involuntary churn; sales teams weight pipeline by inflation regime.
Inflation Signals (derived)
Signals derived from FRED's US inflation series: 30-period annualized volatility of monthly changes, 3-month momentum, year-over-year percent change (the headline inflation gauge), 3-sigma anomaly flags, naive-drift 1-month forecasts, a per-month cross-series volatility rank, plus the core-vs-headline CPI gap and the core-PCE-vs-headline spread. Covers CPIAUCSL (headline CPI, seasonally adjusted), CPILFESL (core CPI), PCEPILFE (core PCE price index — the Fed's preferred gauge) and PPIACO (producer prices, all commodities). 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).
Trimmed-Mean Inflation Signals (derived)
Monthly underlying-inflation signals from the Dallas Fed trimmed-mean PCE rate (redistributed by FRED, 1977-01 ->): 3-month momentum, 30-month change volatility, 3-sigma anomaly flags vs a trailing 12-month baseline, naive-drift 1-month forecasts, cross-series ranks, the trimmed-mean-vs-headline and trimmed-mean-vs-core PCE spreads, and above-target (>2%) / high-underlying (>3%) regime flags. 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 Dallas, U.S. Bureau of Economic Analysis.
US Household Spending (BEA via FRED, keyless)
Monthly US household-spending panel, 1959-01 onward: personal consumption expenditures nominal (BEA, SAAR $B), the PCE price index (2017=100) as deflator, and resident population, plus real PCE in 2017 dollars, real per-capita PCE, 12-month and 3-month-annualized real growth, and a documented 0-100 spending_momentum_score with m1..m4 tiers. The spending side of the household balance sheet — complements (no column overlap) the live household_financial_pressure dataset, which carries the saving rate, debt-service ratio and real disposable income. Upstream: U.S. Bureau of Economic Analysis via FRED keyless fredgraph.csv (PCE, PCEPI, POPTHM). One row per month x USA; in-window nulls fail loudly, never imputed. Who joins this: online shops join revenue on year_month, subscription businesses join MRR and churn cohorts, sales teams read momentum_tier as the demand backdrop.
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