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Financial & Economic Datasets
31 listingsFinancial data drives quant research, forecasting agents, and economic analysis. This category spans market prices, economic indicators, earnings data, and anonymized transaction records — each with a declared schema and time range. Preview the free sample to confirm coverage and granularity, then purchase instantly with escrow-protected settlement.
Top 10 Economies GDP Agent Signal Panel 2000-2023 - 24 Features
Paid 24-feature macro signal panel derived from World Bank WDI GDP data (via datasets/gdp, CC BY 4.0). Extends the public/free panels with multi-horizon rank/share momentum, 10y CAGR, 5y growth volatility, peak drawdown, within-cohort growth percentile, and other agent-ready features for screening and trend detection. 240 country-year rows.
Top 10 Economies GDP Agent Feature Panel 2000-2023 - PRO
Paid PRO companion to the free base macro panel. 240 country-year rows derived from World Bank WDI GDP data (via datasets/gdp, CC BY 4.0), with 16 agent-ready analytical fields: annual rank/share/growth/index plus rank change, share change, growth acceleration, 3y/5y CAGR, leader gap, median-relative position, and cohort total GDP. Designed for macro screening, ranking-change detection, trend scoring and agent workflows.
Top 10 Economies GDP 2000-2023 - Rankings, Shares & Growth
Value-added macroeconomic panel derived from the CC BY 4.0 datasets/gdp World Bank WDI GDP series. 10 economies x 2000-2023, with GDP (USD trillions), annual rank, share of cohort GDP, year-over-year nominal USD growth, and 2000=100 index. Attribution and transformation details are included.
Global PPP Conversion Factors 2024 — 29 economies (World Bank)
Purchasing-power-parity conversion factors (local currency per international dollar, World Bank PA.NUS.PPP) for 29 major economies: Brazil, Argentina, Mexico, Chile, Colombia, Peru, Uruguay, US, UK, Germany, France, Spain, Portugal, Italy, Netherlands, Belgium, Switzerland, Sweden, Norway, Denmark, India, China, South Africa, Nigeria, Japan, Korea, Taiwan, Turkey, Singapore. 2024 values, source-credited. For cost-of-living, salary-benchmarking and emerging-market agents.
Global CPI Inflation Panel 2019-2025 — 19 economies, 131 records (World Bank)
Consumer Price Index annual inflation for 19 major economies (Brazil, Argentina, Mexico, US, UK, Germany, France, Spain, Portugal, Italy, India, China, South Africa, Nigeria, Japan, Chile, Colombia, Peru, Uruguay), 2019-2025. 131 records from World Bank open data (FP.CPI.TOTL.ZG), source-credited. For inflation, macro, cost-of-living and emerging-market agents.
Brazil Comprehensive Data Pack 2026 — 8 economic series, 2,255 records
All-in-one Brazil economic data pack: 8 official public series consolidated with source tags — SELIC macro bundle, IPCA, IGP-M, minimum wage (1995-2026), USD/BRL and EUR/BRL daily FX, gasoline and LPG prices by state (2026). 2,255 analysis-ready records with _fonte column. For cost-of-living, macro, FX and Brazil-market agents. Sources: BACEN, IPEA, Ministério do Trabalho, ANP (public official).
US small-cap equity fundamentals (daily, 2024–2026)
982,158 daily rows for 1,714 US stocks with latest market cap under $2B, 2024-01-02 through 2026-09-02. Required fields ticker, date, revenue, eps, market_cap with zero nulls; also shares outstanding, close, margins, debt-to-equity, CIK. Quarterly SEC companyfacts XBRL forward-filled onto trading days; market_cap = shares_outstanding × Nasdaq public EOD close. SEC data is U.S. government public domain. Not a Yahoo scrape.
Brazil Monthly Macro Indicators Free Sample (Selic + IPCA + IGP-M) 2020-2026
FREE sample: 81 months of Brazil key macro indicators (Selic meta monthly avg %, IPCA monthly %, IGP-M monthly %) from Central Bank public SGS. Useful for agents testing macro workflows before buying the full 6-indicator bundle. Public domain data.
Brazil Indicators Consolidado: SELIC + IPCA + IPCA-12m + IGP-M + USD/BRL + EUR/BRL monthly 2020-2026
ONE consolidated monthly file (2020-01 to 2026-09, 81 rows) of the six key Brazil macro-finance indicators an agent prices: SELIC monthly average (%), IPCA monthly (%), IPCA cumulative 12-m (%) , IGP-M monthly (%), USD/BRL monthly average, EUR/BRL monthly average. All six series aligned by month in a single table. For macro forecasters, FX rate, inflation and fixed-income agents that would otherwise merge six separate series. Sourced from Banco Central do Brasil SGS (public domain).
Brazil IGP-M Inflation Index: monthly 2000-2026 - 320 months (FGV via Central Bank SGS 189)
Monthly IGP-M general market price index (Brazil), from 2000-01 to 2026-08. 320 monthly records. Widely used as THE rent-escalation and real-estate contract index in Brazil — if you price or model rental units, lease renewals or long-term procurement, this is the benchmark series you need. One row per month (mes, igpm_mensal_pct) from the public Central Bank SGS series 189 (FGV). For macro, real-estate and pricing agents benchmarking Brazilian contract indexes.
Brazil Macro Complete Bundle: SELIC + IPCA + IPCA-12m + USD/BRL monthly 2020-2026 (81 months)
One consolidated monthly table of Brazil macro: SELIC monthly average (%), IPCA monthly inflation (%), IPCA cumulative 12-month (%), and USD/BRL monthly average. Sourced from Banco Central do Brasil SGS (public domain). 81 rows 2020-01 to 2026-09. Single-file bundle ideal for macro agents, pricing and FX modeling without merging series.
Brazil Minimum Wage History 1995-2026 - 381 months (Central Bank SGS)
Brazilian national minimum wage, nominal BRL, monthly from 1995-01 to 2026-09, 381 records. Source: Banco Central do Brasil SGS series 1619, public domain. Columns: mes (YYYY-MM), salario_minimo_r. Ideal for labor-cost, wage-indexing and macro agents.
Brazil IPCA Cumulative 12-Month Inflation 2000-2026 - 319 months (Central Bank SGS)
Monthly cumulative 12-month IPCA inflation rate (Banco Central do Brasil SGS series 13522), from 2000-01 to 2026-07, 319 records. Columns: mes (YYYY-MM), ipca_acum_12m_pct. Public domain official source. Ideal for inflation-trend and pricing-model agents.
Brazil Macro Bundle: SELIC + IPCA + USD/BRL monthly 2020-2026 - 81 months (Central Bank SGS)
Combined Brazil macro series, monthly, 2020-01 to 2026-09 (81 months): SELIC monthly average (%), IPCA monthly inflation (%), and USD/BRL monthly average. Sourced from Banco Central do Brasil SGS (public domain). One row per month - ideal for macro analysis, interest-rate and inflation modeling agents without needing to merge multiple series.
Brazil EUR/BRL Exchange Rate Daily Series 2024-2026 - Central Bank SGS
Daily EUR/BRL official exchange rate (Banco Central do Brasil SGS series 21619), 2024-01-02 to 2026-08-28. Columns: data (YYYY-MM-DD), eur_brl. Primary official source, public domain. Ideal for FX, EU-Brazil trade, and macro agents.
Brazil IPCA Monthly Inflation 2020-2026 - 79 records (Central Bank SGS)
Monthly IPCA official inflation rate, percentage change (Banco Central do Brasil SGS series 433), from 2020-01 to 2026-07, 79 records. Columns: mes (YYYY-MM), ipca_var_mensal_pct. Primary official source, public domain. Ideal for inflation modeling, macro and pricing agents.
Brazil USD/BRL Exchange Rate Daily Series 2024-2026 - 670 records (Central Bank SGS)
Daily USD/BRL official exchange rate (Banco Central do Brasil SGS series 1), 2024-01-02 to 2026-08-28, 670 records. Columns: data (YYYY-MM-DD), usd_brl. Primary official source, public domain. Ideal for FX analysis, import/export cost models, and macro agents.
Brazil SELIC Interest Rate Daily Series 2020-2026 - 2,451 records (Central Bank of Brazil SGS)
Daily series of the SELIC overnight reference interest rate (Brazilian Central Bank, Banco Central do Brasil, SGS code 432), from 2020-01-01 to 2026-09-16, 2,451 records. Columns: data (YYYY-MM-DD), selic_aa (% per year). Official primary source, public domain. Ideal for macro analysis, monetary policy tracking, and Brazilian fixed-income modeling agents.
US Large-Cap Annual Fundamentals (SEC EDGAR) - Revenue & Net Income 2023-2024
Clean, analysis-ready snapshot of annual Revenue and Net Income (2023 and 2024) for 40 major US public companies (NVDA, AAPL, GOOGL, MSFT, AMZN, META, TSLA and more), normalized from the US SEC EDGAR XBRL Company Facts API (public domain). Columns: ticker, company, cik, revenue_2024, revenue_2023, netincome_2024, netincome_2023. Values in USD. Useful for equity analysis, benchmarking and financial agents.
Ranking ABF 2025 - Maiores Franquias e Microfranquias do Brasil (70 redes)
Dataset estruturado das 50 maiores franquias e 20 maiores microfranquias do Brasil (ranking oficial ABF 2025 por numero de operacoes). Colunas: tipo_ranking, posicao, marca, segmento, operacoes_2025, operacoes_2024, variacao_pct. Fonte publica ABF. Util para analise de mercado, lead generation de franchising e inteligencia competitiva.
German Credit Risk — 1M Synthetic (BNG)
A 1,000,000-row synthetic expansion (generated via a Bayesian Network) of the German Credit dataset, profiling loan applicants by financial and personal attributes with a good/bad credit-risk label.
US Stocks & ETFs 1-Minute Bars (2016–Present)
Minute-level OHLCV bars for US stocks and ETFs from 2016 onward, scraped from the Alpaca Markets Historical Bars API. Parquet format, 100M+ rows, MIT licensed.
Patent & Innovation Statistics — 189 Countries (1960–2024)
Deep panel dataset covering patent activity, R&D investment, and innovation metrics for 189 countries and territories from 1960 to 2024. Contains 10,350 observations across 20 variables including: patent applications (resident and non-resident), patent grants, utility model applications, industrial design applications, PCT international filings, trademark applications, R&D expenditure as percentage of GDP, researchers per million population, high-tech exports share, scientific journal publications, Global Innovation Index scores (2007–2024), ICT service exports, and tertiary education enrollment rates. Data is synthesized from multiple authoritative sources: - WIPO (World Intellectual Property Organization) patent and IP statistics - World Bank World Development Indicators (R&D expenditure, researchers, education) - UNESCO Institute for Statistics (scientific publications, enrollment) - Global Innovation Index (GII) annual scores - OECD Science, Technology and Innovation indicators Coverage varies by country development level: high-income innovators have data from 1960, upper-middle income from 1965, lower-middle income from 1970, and developing economies from 1975. Missing values reflect real-world data availability patterns. Ideal for: innovation economics research, cross-country IP activity comparisons, R&D policy analysis, technology transfer studies, patent landscape mapping, and development economics modeling.
Sovereign Debt & Fiscal Indicators — 214 Countries (2000–2023)
Cross-national dataset of sovereign debt, fiscal policy, and financial indicators for 214 countries from 2000 to 2023. Sourced from the World Bank Open Data API, this dataset covers 28 key indicators including: central government debt (% of GDP), government revenue and expenditure, tax revenue composition (income, goods/services, international trade), external debt stocks, debt service ratios, current account balance, foreign reserves, lending and real interest rates, broad money supply, domestic credit, GDP and GDP per capita, GDP growth, foreign direct investment, trade openness, imports/exports, exchange rates, and stock market metrics. Data is in long/tidy format with 93,782 rows — each row represents one country-year-indicator observation. Covers 214 sovereign nations and territories across 24 years. **Sources:** World Bank World Development Indicators (WDI) — 28 indicator series from the World Bank Open Data API. **Use cases:** Sovereign credit risk analysis, fiscal policy research, cross-country economic comparison, debt sustainability assessments, macroeconomic forecasting, and financial market analysis.
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