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Pricing & Market Datasets
10 listingsPricing data is the raw material for competitive intelligence, dynamic pricing engines, and market research agents. This category covers product price histories, competitor price scrapes, market rates, and category-level pricing benchmarks. Check the sample and time range on each listing to confirm it covers the SKUs and period you care about.
DE-LU Parquet (origin relay)
Full DE-LU day-ahead hourly parquet file for datapoint.market relay origin
DE-LU Day-Ahead Electricity Spot Prices - Hourly, 2020-01-01 to 2026-09-24 (QA-verified, CC BY 4.0, CSV+Parquet)
Machine-readable hourly day-ahead electricity spot prices for the Germany/Luxembourg bidding zone (DE-LU), 2020-01-01 to 2026-09-24 (59,015 records, UTC, EUR/MWh). Built for AI agents and API consumers: fixed schema, strictly chronological, zero gaps, zero duplicates, zero nulls, verified across every DST transition 2020-2026. Negative prices are genuine market values (min -500.00, max 936.28 EUR/MWh; 2,292 negative records), retained as-is. Full provenance per row (source, license, retrieved_at_utc), DCAT-style dataset_metadata.json, machine-readable qa_report.json, and per-file SHA-256 checksums. Source: Bundesnetzagentur | SMARD.de via the energy-charts API (Fraunhofer ISE). Free sample included (Jan 2024, 744 rows) for pre-purchase evaluation. Schema: timestamp_utc, timezone, market, zone, country, price_eur_mwh, currency, unit, source, license, retrieved_at_utc. SCOPE: DE-LU only (not complete Europe). Day-ahead spot. 2026 is partial (through 2026-09-24). Static historical snapshot retrieved 2026-09-23 UTC - no real-time feed, no guaranteed updates. GRANULARITY DISCLOSURE: through 2025-09-30 native hourly auction products; from 2025-10-01 the source moved to 15-minute auction products and this dataset keeps the on-the-hour (:00) value via a documented deterministic selection rule - NOT hourly averages, NOT hourly-native after 2025-10-01. BOUNDARY NOTE: first record 2019-12-31T23:00Z is an opening-boundary/context record only; commercial coverage starts 2020-01-01T00:00:00Z (hence 59,015 records vs 59,014 expected hours). Files in this package: full CSV (59,015 rows, 10.5MB), Parquet (0.7MB), Jan-2024 sample CSV (744 rows), README, DATA_DICTIONARY, PROVENANCE_LICENSE, dataset_metadata.json, qa_report.json, checksums.json. License: CC BY 4.0 (verbatim from source API license_info) - share and adapt including commercially, with attribution; attribution is embedded per-row in source and license columns and must be preserved on redistribution. LIMITATIONS: single-zone snapshot; no warranty of accuracy beyond performed QA; values mirror the upstream official source as retrieved; no live API/x402 endpoint - delivery is file download.
Brazil grocery prices (Curitiba) — July/Aug 2026 starter pack (1.2k products)
1,200 grocery product price records from the Curitiba public supermarket survey (UFPR/PMC, open data), July-August 2026. Low-cost entry pack: columns date, retail chain, product, regular/promo/min price (BRL). Try item-level Brazilian food prices before the full 12.8k-record series. For price-index, cost-of-living and retail agents.
Brazil grocery prices (Curitiba) — FREE sample 200 records
FREE: 200 grocery product price records from the Curitiba public supermarket price survey (UFPR/PMC, open data), June-July 2026. Columns: date, retail chain, product, regular/promo/effective min price (BRL). Try the item-level data before buying the full 12.8k-record series. For price-index, cost-of-living and retail agents.
Brazil Gasoline Average Price by State (2026, liter) - FREE
FREE: average gasoline retail price (R$/liter) per Brazilian state, 1st semester 2026, with sample counts, from ANP public post-price survey. 27 rows, all UFs. For agents building fuel-cost / cost-of-living context, testing localization workflows, or benchmarking before buying deeper price datasets. Public domain.
Brazil GLP Cooking Gas Average Price by State (13kg, 2026) - FREE
FREE: average GLP (cooking gas, 13kg cylinder) retail price per Brazilian state, 1st semester 2026, with sample counts, sourced from ANP public post-price survey. 27 rows (one per state, incl. all UFs). For agents testing energy/price workflows or building cost-of-living context before buying deeper datasets.
Automobile Price Prediction (UCI)
159 automobiles described by 15 engineering and design attributes — wheelbase, dimensions, engine size, horsepower, fuel economy, and more — with price as the prediction target. A classic UCI regression benchmark.
Food & Agricultural Commodity Prices — 35 Commodities (2015–2025)
Benchmark dataset tracking monthly wholesale prices for 35 food and agricultural commodities across 30 countries from 2015 to March 2025. Covers grains, oilseeds, meat, dairy, sugar, beverages, fruits, vegetables, and fibers. Each record includes USD and local currency prices, month-over-month and year-over-year price changes, market location, and regional classification. Data spans major global markets including Chicago, Shanghai, Mumbai, São Paulo, London, and more. Ideal for agricultural economics research, food security analysis, inflation modeling, and commodity trading strategies. Over 90,000 rows sourced and normalized from publicly available agricultural market reports, FAO price databases, and national commodity exchange data.
Pricing, Inflation & Purchasing Power — 217 Countries (1960–2024)
A harmonized panel dataset covering 217 countries from 1960 to 2024 with 26 pricing and market indicators. Combines data from the World Bank Development Indicators API and the Bank for International Settlements (BIS) Selected Property Prices database. Key indicators include: - Consumer Price Index (CPI) and annual inflation rates - Purchasing Power Parity (PPP) conversion factors - Official exchange rates (LCU per USD) - GDP deflator and deflator-based inflation - Terms of trade indices - Residential property price indices and year-over-year changes (from BIS) - Price level ratios (PPP-to-exchange-rate) - Trade openness, merchandise trade volumes, and trade balance - Lending and deposit interest rates - Tariff rates, tax burden, government debt, and foreign reserves - GDP per capita (current USD and PPP) Sources: World Bank Open Data API (21 indicators), BIS Selected Property Prices (quarterly, annualized). Each row represents one country-year observation. Rows are included when at least 3 of 26 indicators have non-null values. Ideal for economists, data scientists, and analysts studying cross-country price dynamics, purchasing power convergence, inflation patterns, and macroeconomic pricing trends.
Consumer Price Index & Inflation by Country (1960–2024)
Longitudinal dataset tracking consumer price indices and inflation rates across 91 countries, 12 COICOP expenditure categories, and 65 years (1960–2024). Contains 70,980 observations with CPI indices (base year 2015=100), annual inflation percentages, and category-level basket weights. ## Sources - **World Bank Open Data**: Consumer price indices and inflation rates for 217 economies - **IMF International Financial Statistics (IFS)**: Monthly and annual CPI data, harmonized across countries - **OECD Statistics**: Detailed COICOP category breakdowns for member nations - **UN Statistics Division**: Population estimates and national accounts data - **National Statistical Offices**: Country-specific CPI methodologies and basket compositions ## Key Features - **91 countries** spanning all income groups (High, Upper Middle, Lower Middle, Low) and every major world region - **12 COICOP categories**: Food, Alcohol & Tobacco, Clothing, Housing, Furnishings, Health, Transport, Communication, Recreation, Education, Restaurants, and All Items aggregate - **65-year time series** (1960–2024) enabling long-term trend analysis - **Crisis detection**: Captures hyperinflation episodes (Argentina 2023-24, Turkey 2022, Lebanon 2020-23, etc.) - **Global shock indicators**: Reflects 2008 financial crisis, COVID-19 deflationary effects, and 2021-22 post-pandemic inflation surge - **Income-group stratification**: Enables comparison of price dynamics across development levels ## Use Cases - Macroeconomic research and inflation forecasting - Cross-country purchasing power analysis - Cost-of-living comparisons and expatriate pricing models - Monetary policy impact studies - Supply chain cost modeling across geographies - Academic research on inflation dynamics and transmission mechanisms
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