FXMacroData vs Oxford Economics: Macro Forecasting Service vs FX Macro Data API

This comparison is for FX traders, quant developers, and research teams deciding whether they need an institutional macro forecasting service, a released-data API built for currency workflows, or both. Oxford Economics and FXMacroData are often shortlisted together because both deal in macroeconomic data, but they answer different questions: Oxford Economics tells you where an economy is likely to go, while FXMacroData tells you exactly what an official agency or central bank published and when it published it.

The core finding: Oxford Economics is the deeper product for long-horizon forecasts, linked scenarios, and economist research across more than 200 economies, sold through enterprise subscriptions with pricing that is not publicly listed. FXMacroData is the more practical product for FX-focused, developer-led, automated workflows, with published self-serve pricing from $50/month, 22 currencies of official released data, second-level announcement timestamps, and an MCP server anyone on a paid plan can connect. For many research desks the two are complementary rather than competing.

Pricing And Access

FXMacroData publishes its prices. The Always Free tier needs no key and covers USD data only, with 100 requests/day and USD announcements delayed 15 minutes. Individual is $50/month or $500/year with a 14-day trial, 1,000,000 requests/month, bursts of 300/minute, 5,000/hour, and 20 concurrent requests. Business is $250/month or $2,500/year for companies and teams of up to 10 people, with the same monthly allowance and priority support. Enterprise is available by custom agreement, and a self-serve Commercial Redistribution add-on costs $10/month per block of up to 100 measured users (or 1,000 public-feed followers).

Oxford Economics does not publish prices for its Global Macro Service, Global Economic Model, Global Data Workstation databanks, or API products. Its public pages direct buyers to the sales team and offer trials on request. Its support documentation describes the Databank API and Data Feeds as value-added subscription products that sit on top of a client's core databank subscription, and API keys are provisioned through support depending on the organisation's entitlements. Because no list price is public, this article does not chart one.

Side-By-Side Comparison

* Competitor pricing checked against Oxford Economics' public subscription, AI and data solutions, and support pages in October 2026; no list prices were published.

Forecasts Versus Released Official Data

The most important difference is the kind of number each product sells. Oxford Economics' central asset is the Global Economic Model, in which country models are linked through global assumptions about trade, competitiveness, capital flows, interest and exchange rates, and commodity prices. Its brochure describes 87 countries modelled in detail plus the Eurozone, with the rest of the world in six trading blocs, baseline projections over 5, 10, and 25 years, and a scenario tool for solving the model under alternative shocks. The Global Macro Service layers country forecast reports, research briefings, and weekly notes from a team of more than 450 economists and analysts on top.

FXMacroData does not forecast the economy. It records what official statistics agencies and central banks actually publish: the US CPI print, the non-farm payrolls number, the Fed policy rate decision, each stored with the second it was announced and its source. Optional consensus forecasts are available alongside the releases, but the product's centre of gravity is the published value, not a modelled path.

Coverage And History

On breadth, Oxford Economics is ahead. Its AI and data solutions page cites more than 200 countries in the Global Economic Databank, 80+ industry sectors with forecasts to 2060, 70+ countries with sector-level data, 8,000 cities and regions, and over 100 million data points accessible through the API. If your question involves a small frontier economy, regional consumer spending, or industry output in a specific city, FXMacroData is not built for it.

FXMacroData's coverage is narrower by design and organised around currencies: 22 currencies in the production API, from USD, EUR, GBP, JPY, AUD, CAD, CHF, and NZD through BRL, CNH, KRW, NGN, THB, and TWD, with 700+ indicator series including policy rates, CPI and core CPI, GDP, labour data, PMIs, retail sales, trade, current account, and wages. Around those series it adds the data FX desks actually join to macro: spot rates, CFTC COT positioning, government bond yields, commodities, central-bank press releases from the Federal Reserve and ECB, and FX session context.

Release Timing And Timestamps

Oxford Economics' public material describes forecasts updated twice a month and rapid economist commentary on major data releases. That cadence suits strategic planning and scenario work. It does not publish a figure for how quickly an individual official release appears in its databank, and a forecast round is a different event from a statistics agency publishing a number.

For FX event work, the publication second matters. Every FXMacroData release row carries a second-level announcement_datetime, releases are typically available within seconds of official publication, and the target of one second from publication is measured publicly at /release-speed, by source, including a list of every release that took longer.

API And Data Delivery

Oxford Economics offers serious delivery options for institutions: a Databank REST API returning JSON, CSV, or XLSX; a Models API for scenario results; push Data Feeds that deliver pre-configured series when forecasts update; a Snowflake feed; and report and content feeds. Clients build their own applications on the API, and access is provisioned by support against the subscription.

FXMacroData is self-serve. You sign up, copy a key, and call the REST API with the key in a header. The same data is available through OpenAPI, SSE streaming, GraphQL, Python and JavaScript SDKs, and integration guides for MetaTrader, TradingView, and NinjaTrader.

curl -H "X-API-Key: YOUR_API_KEY" "https://api.fxmacrodata.com/v1/announcements/usd/non_farm_payrolls"

{
  "data": [
    {
      "date": "2026-08-01",
      "val": 142.0,
      "prior": 118.0,
      "pct_change": 20.3,
      "announcement_datetime": 1788525000
    }
  ]
}

AI And MCP Access

Credit where due: Oxford Economics has moved early on AI. It runs AskOE, a conversational assistant built over several years, and an MCP server that lets Claude, ChatGPT, Gemini, Cursor, Perplexity, Microsoft Copilot, and internal LLMs query its databank, forecasts, scenarios, and economist research in natural language. For an organisation that already subscribes, that is a strong way to put forecast-grade content inside its AI tools. Access is restricted to entitled subscribers and approved partners and typically starts with a discovery call and proof of concept.

FXMacroData's MCP server is self-serve. USD announcements, the USD calendar, and USD news work without any key, and a paid key unlocks all 22 currencies, FX rates, COT, commodities, and the analysis tools. That makes it practical for an individual developer or a small team building an AI trading assistant that needs current, timestamped official data rather than forecasts.

Rate Limits And Licensing

Oxford Economics does not publish API rate limits, and usage rights follow each client's subscription and entitlements. That is normal for enterprise data and can be negotiated to fit a large organisation, but it means a developer cannot size a project from public information.

FXMacroData states its limits: 1,000,000 requests/month on Individual and Business, bursts of 300/minute, 5,000/hour, and 20 concurrent requests. Programmatic use is part of every paid plan, and if you show the data to other people, Commercial Redistribution is a self-serve add-on at $10/month per block of up to 100 measured users or 1,000 public-feed followers.

Using Both In One Research Stack

For a research team that already licenses Oxford Economics, FXMacroData is not a replacement; it fills the release-day gap. Consider a desk running a medium-term view on EUR/USD and USD/JPY built from Oxford Economics' baseline and downside scenarios.

Where Oxford Economics Is Genuinely Stronger

• Model depth. A linked global model with 87 countries in detail, consistent cross-country assumptions, and a scenario tool is not something a released-data API replicates.
• Forecast horizon. Baselines over 5, 10, and 25 years and forecasts to 2060 serve long-range planning, investment, and credit-risk work.
• Breadth. 200+ countries, 80+ sectors, and 8,000 cities and regions reach far beyond FX-relevant economies.
• Economist access. Research briefings, webinars, and direct contact with a 450+ person team add judgement that data alone does not.
• Enterprise delivery. Snowflake feeds, push data feeds, single sign-on, and governed MCP access fit large-organisation data platforms.

Where FXMacroData Is Stronger

FXMacroData is stronger wherever the job is currency-specific, automated, and time-sensitive, and wherever the buyer is a person or small team rather than a procurement department.

Decision Matrix

Recommendation

Choose Oxford Economics if your organisation needs a forecasting institution: a linked global model, scenario probabilities, long-range projections, sector and city detail, and economists to call. Expect an enterprise sales process and pricing that is not publicly listed.

Choose FXMacroData if your work is FX trading or research that runs on what was actually published: preparing for payrolls on GBP/USD or AUD/USD, tracking US unemployment, decisions from the Bank of Japan or Bank of England, or wiring macro data into backtests, alerts, and AI agents. Compare plans, read the API reference, and check the release-speed record before you commit.

Sources Checked

Oxford Economics claims in this article come from its public product, AI, and support pages, checked in October 2026.

Related Reading

• FXMacroData vs Moody's Analytics Data Buffet: another institutional economics database compared with an FX macro API.
• FXMacroData vs S&P Global Market Intelligence: broad institutional economics coverage versus focused FX workflows.
• FXMacroData vs Trading Economics: two self-serve macro data APIs with forecasts and calendars.
• Best macroeconomic data APIs in 2026: the wider market at a glance.