DBnomics
DBnomics is the world's economic database - a free, open-source aggregator run by Cepremap that harvests macroeconomic time series from more than 90 national and international providers (IMF, ECB, Eurostat, World Bank, OECD, BLS, BEA, Banque de France, Federal Statistical Office Germany, and many more) into one standardized format. Hundreds of millions of series covering economic indicators, government statistics, prices, employment, trade, and finance are refreshed daily and served through a documented public REST API (api.db.nomics.world/v22) that requires no API key, plus official Python and R clients and community clients for Julia, Matlab, Stata, EViews, and Gretl.
DBnomics publishes 4 APIs on the APIs.io network, including Datasets API, Providers API, Search API, and 1 more. Tagged areas include Economic Indicators, Macroeconomics, Open Data, Statistics, and Time Series.
DBnomics’ developer surface includes documentation and 7 more developer resources.
Kin Score
APIs 4
Individual APIs this provider publishes, each with its own machine-readable definition.
DBnomics Datasets API
Dataset metadata within a provider, plus the last-updates feed.
DBnomics Providers API
Statistical agencies, central banks, and institutions aggregated by DBnomics.
DBnomics Search API
Full-text search across all datasets.
DBnomics Series API
Economic time series and their observations.
Open Collections 6
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONDBnomics Datasets API
OPEN COLLECTIONDBnomics Datasets Providers API
OPEN COLLECTIONDBnomics Datasets Search API
OPEN COLLECTIONDBnomics Datasets Series API
OPEN COLLECTIONDBnomics API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Dbnomics Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Dbnomics Finops
FINOPSSecurity Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 1
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
Source (apis.yml)
Work with this as data
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