What is the best free API for US economic data in 2026?

FRED, the St. Louis Fed's database, is the default: 800k+ mostly-US series (per the Fed), roughly 120 requests per minute, and a single free API key, with mature official Python (fredapi) and R clients. It aggregates some copyrighted third-party series, so querying is free but redistribution rights vary per series — check the source notes before republishing.

Which macro data API has the widest free international coverage?

DBnomics. It is a free, key-less Web API that normalizes 90+ providers (ECB, IMF, Eurostat, BIS, BOE, BOJ and national statistics offices) into one schema, so you can pull ECB, IMF and World Bank series from a single interface. Note it is a two-layer license: ODbL on the aggregation plus each source's own terms, so confirm the dataset license before commercial redistribution.

Does Trading Economics publish list pricing for its API?

No. Trading Economics prices its API on a custom, quote-based model adjusted to volume and distribution, and any '$149/$299' figures on third-party sites contradict its own statement. The only fixed entry point is the free trial of 100k data points and 100 requests, which auto-charges if you do not cancel.

Is FRED data free to redistribute commercially?

Querying FRED is free, but redistribution is not blanket-open: FRED aggregates some copyrighted third-party series that carry source restrictions. Treat 'free to use' and 'free to redistribute' as different questions, and check each series' source notes before reselling or republishing it.

Best Economic Data APIs 2026: FRED vs Trading Economics

The short answer

For free US economic data in 2026, FRED (St. Louis Fed) is the default: 800k+ series, about 120 requests per minute, and one free API key. DBnomics is the best free single interface across ECB, IMF, Eurostat and 90+ agencies. Trading Economics alone offers forward forecasts and an economic calendar, but its pricing is quote-based, not published.

For free US economic data in 2026, FRED (St. Louis Fed) is the default: 800k+ series (per the St. Louis Fed), ~120 requests/minute, and one free API key. DBnomics is the best free single interface across ECB, IMF, Eurostat, BIS and 90+ agencies, with no key at all. Trading Economics is the only provider here with forward forecasts and an economic-event calendar, but its pricing is quote-based, not published. Nasdaq Data Link (ex-Quandl) is now more a financial/alternative-data marketplace than a pure macro source. Model a full data stack against your own workload with the Data-Vendor TCO Calculator.

Methodology

Coverage, rate limits, and pricing reflect each provider's own documentation and pricing pages as of 2026-07-17 (sources listed at the end). "Macro/economic data" here means time series like GDP, CPI, policy rates, employment, and trade, not equity or OHLC market data, which is covered in Market Data APIs Compared 2026. Enterprise and negotiated tiers are out of scope. Where a vendor's own page could not be read by an automated fetch (several block it), the figure is attributed to the source and flagged; verify on the vendor page before you build against it.

The headline table

Provider	Free tier	Paid	Coverage	Rate limit	Commercial license
FRED (St. Louis Fed)	Fully free; free API key	—	800k+ US-centric series plus intl (IMF, World Bank, OECD, Eurostat)	~120 req/min	Free to use; some third-party series carry source redistribution limits
DBnomics	Fully free; no key	—	90+ providers (ECB, Fed, BOE, BOJ, BIS, Eurostat, IMF, World Bank, OECD)	none documented	ODbL on the aggregation; each source keeps its own license
Trading Economics	Trial only (100k points / 100 requests)	Custom / quote-based	Broad global indicators plus forecasts and an event calendar	not published	Redistribution priced into higher tiers
Nasdaq Data Link (ex-Quandl)	Free for free-tier databases	Per-database (no public flat rate)	250+ databases; macro largely free, premium skews financial/alt-data	300/10s, 50k/day (free auth)	Per-database license
World Bank Indicators	Free; no key	—	~16k indicators, broadest country coverage	not stated	General World Bank terms
OECD (SDMX)	Free; no key	—	~38 economies, comparable cross-country series	not published	Free, subject to OECD terms

Figures reflect provider documentation as of 2026-07-17. Verify on the vendor page before committing.

Who wins for which profile

Profile: US macro on a zero budget

FRED. The deepest US coverage, a generous ~120 requests/minute, and a single free key, with mature official Python (fredapi) and R clients. The caveat that trips people up: FRED aggregates some copyrighted third-party series, so "free to query" is not the same as "free to redistribute." Check an individual series' source notes before republishing it.

Profile: one API for many central banks and agencies

DBnomics. A single, key-less Web API that normalizes ECB, IMF, Eurostat, BIS, national statistics offices and 90+ providers into one schema. Reach for it when you want ECB, IMF and World Bank series from one call instead of four bespoke integrations. The caveat: it is a two-layer license (ODbL on the aggregation, plus each underlying source's own terms), so confirm the specific dataset's license for any commercial redistribution.

Profile: forecasts and an economic calendar

Trading Economics. The only provider here with forward estimates and a structured economic-event calendar (release dates, consensus, actual). That is its real moat over the free sources. The friction is procurement: pricing is quote-based ("adjusted to volume and distribution"), and the free trial of 100k data points / 100 requests auto-charges if you do not cancel. Budget a sales conversation, not a self-serve signup.

Profile: alternative and financial datasets alongside macro

Nasdaq Data Link (formerly Quandl). Its strength is the marketplace of 250+ databases. Many macro series are free, while premium databases skew toward financial and alternative data priced per-database. A good fit when macro is one input among many alt-data feeds; overkill if you only need standard indicators.

Profile: broad international country panels

World Bank Indicators plus OECD. Both are free, key-less, and carry the widest country coverage for the cross-country panels FRED cannot fully replace. The data moves slowly (mostly annual or quarterly), but the breadth is unbeatable for development and comparative work.

Gotchas + caveats

"Free" rarely means "free to redistribute." FRED, DBnomics, World Bank and OECD are all free to query, but redistribution rights differ per dataset and per source. If you resell or republish series, read the individual dataset's license, not the platform's headline claim.
Trading Economics has no list price. Any "$149/$299" figure circulating on third-party sites contradicts Trading Economics' own "custom/quote" statement, so treat it as unverified. The only firm free entry point is the trial (100k points / 100 requests).
DBnomics is a two-layer license. The aggregation is ODbL; each provider's series keeps its original license. Convenient for one-call access, but do the license check per dataset before commercial use.
FRED's series count is a moving target. Public figures range roughly 800k to 826k, and the Fed's own docs page blocks automated reads, so treat the count as approximate and attribute it rather than asserting a single hard number.
Nasdaq Data Link is not all-macro. Since the Quandl rebrand the free macro coverage is real, but the premium catalog is financial and alt-data, and a premium tier does not unlock more macro depth.

What changed as of 2026-07-17

Access, rate limits, and licensing were verified against each provider's documentation on 2026-07-17. The state worth flagging:

Trading Economics remains quote-based, with no self-serve list pricing; the trial (100k points / 100 requests) is the only fixed entry point.
Nasdaq Data Link continues to operate under the post-Quandl branding as a per-database marketplace, with macro depth concentrated in the free tier.
FRED and DBnomics remain fully free with generous access (FRED ~120 req/min; DBnomics key-less), and stay the two default free choices for US and international macro respectively.

Licensing terms are the volatile axis here, so re-check the per-dataset source license before any redistribution.

Market Data APIs Compared 2026: the equity and OHLC counterpart — Databento, Massive (ex-Polygon.io), Alpaca, Tiingo and more.
Broker APIs Compared 2026: the execution and account layer that sits above the data feed.

Sources

FRED API documentation (accessed 2026-07-17)
DBnomics providers and about (accessed 2026-07-17)
Trading Economics API (accessed 2026-07-17)
Nasdaq Data Link (accessed 2026-07-17)
World Bank Indicators API (accessed 2026-07-17)
OECD data (accessed 2026-07-17)

Editorial independence

AI Fin Hub Research maintains editorial independence across sponsor relationships. Vendor placements in tools and comparators are not altered by sponsor payments. Disclosures at /sponsor-disclosure/.

Frequently asked questions

What is the best free API for US economic data in 2026?: FRED, the St. Louis Fed's database, is the default: 800k+ mostly-US series (per the Fed), roughly 120 requests per minute, and a single free API key, with mature official Python (fredapi) and R clients. It aggregates some copyrighted third-party series, so querying is free but redistribution rights vary per series — check the source notes before republishing.
Which macro data API has the widest free international coverage?: DBnomics. It is a free, key-less Web API that normalizes 90+ providers (ECB, IMF, Eurostat, BIS, BOE, BOJ and national statistics offices) into one schema, so you can pull ECB, IMF and World Bank series from a single interface. Note it is a two-layer license: ODbL on the aggregation plus each source's own terms, so confirm the dataset license before commercial redistribution.
Does Trading Economics publish list pricing for its API?: No. Trading Economics prices its API on a custom, quote-based model adjusted to volume and distribution, and any '$149/$299' figures on third-party sites contradict its own statement. The only fixed entry point is the free trial of 100k data points and 100 requests, which auto-charges if you do not cancel.
Is FRED data free to redistribute commercially?: Querying FRED is free, but redistribution is not blanket-open: FRED aggregates some copyrighted third-party series that carry source restrictions. Treat 'free to use' and 'free to redistribute' as different questions, and check each series' source notes before reselling or republishing it.