Who Should Read This Article
If you are an FX trader, quant developer, or macro analyst choosing a macroeconomic data API, this article is for you. FXMacroData and FinnWorlds both provide programmatic access to macroeconomic indicator time series — making them more directly comparable than most competitors in this space. This comparison maps the key differences in depth, pricing, FX specialisation, and developer experience so you can make an informed choice for your workflow.
Core Finding
FinnWorlds covers 198 countries and dates back to 1960 — a genuine breadth advantage for global macro research. But for FX-focused workflows, FXMacroData delivers more per currency: central bank policy rates, COT positioning, per-currency release calendars with second-level announcement timestamps, and dedicated endpoint families for each data type — all at $50/month with 1,000,000 requests a month versus FinnWorlds' $99–$199/month (after a discounted first month) with hard call caps.
Side-by-Side Comparison
| Attribute | FXMacroData | FinnWorlds |
|---|---|---|
| Entry-level API price | Individual $50/month ($500/year) | $99/month (Individual)* — about 2× more expensive |
| Next tier up | Business $250/month for teams (up to 10 people), same 1,000,000/month allowance; Individual already includes every dataset | $199/month (Starter)* — about 4× more |
| Free / trial tier | ✓ Always Free USD tier (100 requests/day, no key) plus a 14-day Individual trial | No free tier; first month at a reduced intro price ($9–$99)* |
| API call limits | 1,000,000 requests/month on Individual and Business | 10K–200K calls/month; 15–300 calls/minute cap* |
| Primary data focus | FX macro: 22 currencies, central bank indicators | General macro: GDP, CPI, PPI, wages, trade, housing |
| Country / currency coverage | 22 currencies (G10+ FX focus, deep per-currency data) | 198 countries — genuine strength for global macro breadth |
| API endpoint families | Dedicated endpoint families (announcements, calendar, COT, forex, press releases, commodities, etc.) | Macro indicator and economic calendar APIs, alongside its other financial-data APIs |
| Historical data depth | Multi-decade historical data per indicator and currency | From December 1960 — very long-run time series |
| Announcement datetimes | Second-level announcement_datetime per release |
Economic calendar included; second-level publication timestamps not documented |
| Post-announcement update speed | Typically available within seconds of official publication | Not stated publicly |
| Release calendar endpoint | ✓ Per-currency scheduled release calendar with times | ✓ Economic calendar on all plans* |
| Central bank policy data | ✓ Policy rate history and central-bank press releases per currency | Interest rate series available |
| COT positioning data | ✓ Weekly CFTC COT for the major currency futures | ✗ Not available |
| MCP (AI agent) support | ✓ Official MCP server with OAuth/PKCE, exposing official-source releases with publication timestamps | ✗ No MCP server listed |
| GraphQL | ✓ Native GraphQL batching | ✗ REST only |
| Output formats | REST JSON, GraphQL, SSE streaming, data export | JSON, XML, plus Excel, CSV and PDF delivery — useful for non-developer users |
| Language SDKs | Python and JavaScript SDKs; standard REST works with any HTTP client | 15 language SDKs (JS, Python, Java, PHP, Go, Ruby, C#, R, Rust, Scala, and more) |
| Live dashboard | ✓ FX Dashboard, Market Summary, COT, Commodities pages | ✗ API only — no visual dashboard |
| Target audience | FX traders, quant developers, central bank macro analysts | Researchers, economists, global macro analysts, general-purpose data consumers |
* Competitor pricing retrieved from their public pricing page in October 2026.
Pricing and Value
Pricing is one of the clearest differences between these two platforms. FinnWorlds' publicly listed plans run from $99/month (Individual) to $199/month (Starter) to $499/month (Developers) and $1,000/month (Enterprise), each with a discounted first month ($9, $19, $49 and $99 respectively) and no free tier. FXMacroData starts at $50/month — roughly half to a quarter of FinnWorlds' Individual and Starter tiers.
Beyond the headline price, the call-limit structure compounds the cost difference significantly. FinnWorlds' $199/month Starter plan allows 25,000 calls per month at a cap of 40 calls per minute. For a production FX pipeline pulling data across 22 currencies and multiple indicators on an intraday schedule, 25,000 monthly calls can evaporate quickly. FXMacroData's Individual and Business plans include 1,000,000 requests a month, 40 times the Starter allowance, so polling pipelines, bulk backfills, and real-time dashboards have far more room before the month runs out.
Pricing Callout
FXMacroData: $50/month, 1,000,000 calls | FinnWorlds Starter: $199/month, 25,000 calls. That is a 4× price difference for a plan with 1/40th of the monthly call allowance.
Monthly list price, USD
FXMacroData in mint; Finnworlds plans in cyan. Hover a bar for the exact price.
Takeaway: After the discounted first month, Finnworlds' cheapest plan costs about twice FXMacroData Individual.
Data Depth vs. Country Breadth
FinnWorlds' headline number is 198 countries — a genuine advantage for researchers who need macroeconomic data across frontier and emerging markets. If your use case requires tracking GDP trends in Nigeria, inflation in Vietnam, or wage growth in Peru, FinnWorlds' breadth is difficult to match at its price point.
FXMacroData takes a different approach: it focuses on 22 currencies chosen for active FX traders — USD, EUR, GBP, JPY, AUD, CAD, CHF, NZD, BRL, CNH, CNY, DKK, HUF, ILS, KRW, MYR, NGN, NOK, PEN, SEK, THB, and TWD. Within those currencies, the depth is considerably richer than a general macro aggregator. Each currency has curated time series for policy rates, CPI, GDP, employment, trade balance, and more — plus central bank meeting schedules, COT positioning, FX spot data, and a release calendar with second-level event timestamps.
For an FX trader, depth per currency is almost always more valuable than raw country count. Knowing the exact minute the Reserve Bank of Australia published its cash rate decision, having the prior and revised values in the same API response, and correlating that with AUD COT positioning — that combination is not available from a general global macro aggregator, however many countries it covers.
API Design and Endpoint Depth
FinnWorlds' macro API is built around querying an indicator series by country and indicator name, with previous and current values per reporting period, plus a separate economic calendar API. This simplicity makes onboarding fast for developers who just need a data series. The tradeoff is that specialised FX workflows require client-side filtering and logic that could otherwise be handled server-side.
FXMacroData ships dedicated endpoint families, each purpose-built for a specific data type:
/v1/announcements/{currency}/{indicator}— structured indicator time series with announcement metadata/v1/calendar/{currency}— per-currency release calendar with scheduled event times/v1/cot/{currency}— weekly CFTC Commitments of Traders positioning/v1/forex/{base}/{quote}— FX spot rates per currency pair/v1/press-releases/{currency}— central bank press release feeds/v1/commodities/{indicator}— precious metals and commodity prices
This endpoint granularity means your application code stays clean: each query returns exactly the data type you requested, with consistent JSON schemas and no need to parse through a mixed response.
To see the scheduled AUD releases that these indicator rows attach to, request the per-currency release calendar:
curl -H "X-API-Key: YOUR_API_KEY" "https://api.fxmacrodata.com/v1/calendar/aud"Announcement Speed and Timestamp Precision
For FX trading, the timing of macro data releases can be as important as the data itself. A policy rate announcement or CPI print moves currency pairs in the seconds after release. FXMacroData typically makes announcement data available within seconds of official publication (measured publicly) and attaches a second-level announcement_datetime to every announcement event — the exact moment the figure was published, not just the date.
FinnWorlds includes an economic calendar on all plans. It does not publicly document second-level announcement times or within-seconds release updates. For data consumers who primarily need historical time series rather than real-time trading triggers, this difference may not matter. For FX traders building event-driven strategies, it is a meaningful gap.
RBA cash rate decision: country series vs AUD release row
1. FinnWorlds query
Request Australia's interest-rate series by country and indicator name: previous and current values per reporting period, with history back to 1960.
2. FinnWorlds polling budget
The economic calendar flags the decision, but no second-level publication time is documented, and the $199 Starter plan allows 25,000 calls a month at 40 per minute.
3. FXMacroData AUD rows
/v1/announcements/aud/policy_rate carries a second-level announcement_datetime, typically within seconds; the RBA statement sits in /v1/press-releases/aud and positioning in /v1/cot/aud.
4. Decision point
A 60-year, 198-country macro study fits FinnWorlds. An AUD/USD trigger that fires on the RBA print fits FXMacroData.
Takeaway: FinnWorlds tells you where Australia's rate has been across decades; FXMacroData tells you when the RBA changed it, what it said, and how speculators were positioned.
Historical Data
FinnWorlds' data history going back to December 1960 is a genuine strength for academic researchers and long-run econometric analysis. If you are modelling multi-decade macro cycles, testing hypotheses across multiple interest rate regimes, or building models that require 60+ years of data, FinnWorlds delivers that depth across a wide range of indicators and countries.
FXMacroData provides deep historical data for its 22 supported currencies, with coverage going back to the earliest available official-source data for each indicator. For most FX trading and research applications — which typically work with regimes spanning 5–20 years rather than 60 — this is more than sufficient.
Output Formats and SDK Support
FinnWorlds offers a notably broad set of output formats: JSON, XML, Excel, CSV, and PDF. This versatility is useful for analysts and finance teams who want to pipe data directly into spreadsheets, reporting tools, or documents without writing integration code. FinnWorlds also lists SDKs for 15 languages, including Python, JavaScript, Java, PHP, Go, R, Rust, and Scala.
FXMacroData returns clean REST JSON on all endpoints and supports GraphQL batching for multi-indicator queries in a single request. Official Python and JavaScript SDKs are available, but none is required — any HTTP client works, and the standard JSON structure integrates naturally with Python, JavaScript, and any other modern language. For developers building custom pipelines, REST JSON with a predictable schema is typically easier to maintain than vendor-specific SDK dependencies.
FX-Specific Features: Central Bank Data, COT, and MCP
Several FXMacroData features have no equivalent in FinnWorlds' offering. These are worth calling out explicitly because they represent the core of FXMacroData's value proposition for FX-focused use cases:
Central Bank Policy Data
Policy rates and central-bank press releases — the core drivers of currency valuation — are first-class endpoints, not tacked-on extras.
COT Positioning
Weekly CFTC Commitments of Traders data for the major CFTC currency futures (AUD, CAD, CHF, EUR, GBP, JPY, MXN, NZD and the US dollar index) plus gold. Institutional positioning is a leading indicator for trend reversals — FinnWorlds has no equivalent.
MCP Server
Official MCP (Model Context Protocol) server with OAuth/PKCE lets AI agents like Claude, Cursor, and custom LLM workflows query timestamped official-source FX macro releases directly. FinnWorlds does not list an MCP server.
Live Dashboard
FX Dashboard, Market Summary, COT visualisation, and Commodities pages give non-developers direct visual access to the same data the API exposes.
Recommendation / Verdict
FinnWorlds and FXMacroData serve meaningfully different audiences despite occupying the same data domain.
Choose FinnWorlds if your primary requirement is broad country coverage across 198 nations with long-run historical time series going back to 1960. It is a reasonable choice for academic researchers, global macro economists, and data teams that need standardised indicator data across frontier and emerging markets, and who value multiple output formats (PDF, Excel, CSV) over real-time trading features.
Choose FXMacroData if you are building FX trading systems, automated macro research pipelines, or AI-assisted FX analysis. The combination of 1,000,000 API requests a month at $50/month, second-level announcement timestamps with announcement data typically available within seconds of official publication, CFTC COT positioning, per-currency release calendars, native MCP support, and a live dashboard gives FX-focused users a substantially richer toolkit. At roughly one-half to one-quarter of FinnWorlds' ongoing pricing with a far larger monthly call allowance, it is also the more cost-effective choice for production use.
For teams that need both global breadth and FX depth, the two platforms are largely complementary rather than directly competing: FinnWorlds for broad cross-country historical macro context, FXMacroData for the real-time FX-relevant signal layer.
Ready to compare for yourself? Start a free trial of FXMacroData and explore the full endpoint catalogue in the API documentation.
