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Marketplace access

Use FXMacroData through RapidAPI

RapidAPI is an optional marketplace channel for the FXMacroData REST API. FXMacroData supplies the data; RapidAPI manages your marketplace subscription, API key, request quota and billing. No separate FXMacroData account or key is needed for requests through this channel.

1. Open the official FXMacroData listing and choose a plan. Check the pricing tab for current coverage, quotas and rate limits.
2. Copy your RapidAPI key from the endpoint playground and store it in your server environment as RAPIDAPI_KEY.
3. Send requests to https://fxmacrodata1.p.rapidapi.com with both RapidAPI headers, as shown below.

curl --request GET \
  --url "https://fxmacrodata1.p.rapidapi.com/v1/announcements/usd/inflation?limit=3" \
  --header "X-RapidAPI-Key: $RAPIDAPI_KEY" \
  --header "X-RapidAPI-Host: fxmacrodata1.p.rapidapi.com"

Keep your key out of browser code and public repositories. For longer result sets, follow pagination.next_offset until pagination.has_more is false. Never send your API key to support.

Install the official fxmacrodata package from PyPI (1.2.x). Sync and async clients return plain JSON dictionaries that load straight into pandas. Client() with no key reads the free USD tier; pass api_key for every other currency and real-time delivery.

Using the SDK

from fxmacrodata import Client

# USD inflation — no key needed: 15-minute delay, most recent 90 days
data = Client().get_indicator("usd", "inflation")
print(data["data"][0])

# Add X-API-Key for all 22 currencies and real-time releases
client = Client(api_key="YOUR_API_KEY")

# EUR policy rate — requires API key
rate = client.get_indicator("eur", "policy_rate")

# Forex price data — requires API key
fx = client.get_fx_price("usd", "jpy")

Using the REST API directly

import requests

resp = requests.get(
    "https://api.fxmacrodata.com/v1/announcements/usd/inflation",
    timeout=30,
)
resp.raise_for_status()
payload = resp.json()
print(payload["data_quality"]["point_in_time_safe"], payload["data"][0])

Paging through full history

import requests

URL = "https://api.fxmacrodata.com/v1/announcements/eur/inflation"
HEADERS = {"X-API-Key": "YOUR_API_KEY"}

rows, offset = [], 0
while True:
    resp = requests.get(
        URL,
        params={"limit": 100, "offset": offset},
        headers=HEADERS,
        timeout=30,
    )
    resp.raise_for_status()
    page = resp.json()
    rows.extend(page["data"])
    if not page["pagination"]["has_more"]:
        break
    offset = page["pagination"]["next_offset"]

print(len(rows), "rows")

Async client

import asyncio
from fxmacrodata import AsyncClient

async def main():
    async with AsyncClient(api_key="YOUR_API_KEY") as client:
        data = await client.get_indicator("eur", "inflation")
        print(data)

asyncio.run(main())

The /v1/predictions/{currency}/{indicator} endpoint surfaces forecast data from market consensus surveys, central-bank projections, IMF World Economic Outlook, and professional-forecaster surveys. Predictions are requested for a specific currency and indicator, such as https://api.fxmacrodata.com/v1/predictions/usd/inflation; currency-only prediction requests are not supported. Each prediction is linked to its announcement via announcement_id, so you can join forecasts with realised observations.

Python — fetch predictions and join with actuals

import requests

HEADERS = {"X-API-Key": "YOUR_API_KEY"}

# Predictions for USD inflation — requires API key
preds = requests.get(
    "https://api.fxmacrodata.com/v1/predictions/usd/inflation",
    headers=HEADERS,
    timeout=30,
).json()

for group in preds["data"]:
    print(group["announcement_id"], group["date"])
    for p in group["predictions"]:
        print(f"  {p['prediction_source_label']}: {p['predicted_value']}")

# Filter by prediction type
market = requests.get(
    "https://api.fxmacrodata.com/v1/predictions/usd/inflation",
    params={"prediction_type": "market_consensus"},
    headers=HEADERS,
    timeout=30,
).json()

# Join predictions with actuals using announcement_id
actuals = requests.get(
    "https://api.fxmacrodata.com/v1/announcements/usd/inflation",
    headers=HEADERS,
    timeout=30,
).json()
actuals_by_id = {row["announcement_id"]: row for row in actuals["data"]}

for group in preds["data"]:
    actual = actuals_by_id.get(group["announcement_id"])
    if actual:
        print(f"{group['date']}: actual={actual['val']}, forecast={group['predictions'][0]['predicted_value']}")

cURL — fetch predictions by type

# Which sources forecast USD indicators — free, no key
curl "https://api.fxmacrodata.com/v1/predictions/coverage/usd"

# All USD inflation predictions — requires API key
curl -H "X-API-Key: YOUR_API_KEY" "https://api.fxmacrodata.com/v1/predictions/usd/inflation"

# Filter by prediction type: market_consensus, imf_weo, central_bank_forecast, survey
curl -H "X-API-Key: YOUR_API_KEY" "https://api.fxmacrodata.com/v1/predictions/usd/inflation?prediction_type=market_consensus"

# EUR policy-rate predictions
curl -H "X-API-Key: YOUR_API_KEY" "https://api.fxmacrodata.com/v1/predictions/eur/policy_rate"

Prediction types reference

cURL

No install needed. Works from any terminal.

# USD inflation — no-key evaluation, up to 100 requests/day
curl "https://api.fxmacrodata.com/v1/announcements/usd/inflation"

# EUR policy rate — send your API key in the X-API-Key header
curl -H "X-API-Key: YOUR_API_KEY" "https://api.fxmacrodata.com/v1/announcements/eur/policy_rate"

# Release calendar for Australia — requires API key
curl -H "X-API-Key: YOUR_API_KEY" "https://api.fxmacrodata.com/v1/calendar/aud"

# Release calendar converted to a requested IANA timezone
curl "https://api.fxmacrodata.com/v1/calendar/usd?indicator=gdp&timezone=America/Sao_Paulo"

# Forex price history — requires API key
curl -H "X-API-Key: YOUR_API_KEY" "https://api.fxmacrodata.com/v1/forex/usd/jpy"

# Data catalogue (discover available indicators for USD)
curl "https://api.fxmacrodata.com/v1/data_catalogue/usd"

JavaScript / TypeScript

Works server-side in Node.js (18+), Deno, and Bun. The API does not send CORS headers, so call it from your backend rather than from browser code.

Official npm client

import { FXMacroDataClient } from "@fxmacrodata/client";

const client = new FXMacroDataClient({
  apiKey: "YOUR_API_KEY",
});

// Public endpoint example
const usdInflation = await client.announcements("usd", "inflation");

// Non-USD endpoint example (requires paid key)
const eurRate = await client.announcements("eur", "policy_rate");

console.log(usdInflation, eurRate);

Using Fetch directly

// USD inflation — no-key evaluation, up to 100 requests/day
const res = await fetch(
  "https://api.fxmacrodata.com/v1/announcements/usd/inflation"
);
const data = await res.json();
console.log(data);

// With API key for non-USD
const API_KEY = process.env.FXMD_API_KEY;
const eur = await fetch(
  "https://api.fxmacrodata.com/v1/announcements/eur/policy_rate",
  { headers: { "X-API-Key": API_KEY } }
);
console.log(await eur.json());

Go

No external packages needed — the standard library handles everything.

package main

import (
    "encoding/json"
    "fmt"
    "net/http"
    "io"
)

func main() {
    // USD inflation — no-key evaluation, up to 100 requests/day
    resp, err := http.Get("https://api.fxmacrodata.com/v1/announcements/usd/inflation")
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)

    var result map[string]interface{}
    json.Unmarshal(body, &result)
    fmt.Println(result)
}

R

Requires httr and jsonlite.

library(httr)
library(jsonlite)

# USD inflation — no-key evaluation, up to 100 requests/day
res <- GET("https://api.fxmacrodata.com/v1/announcements/usd/inflation")
data <- fromJSON(content(res, "text", encoding = "UTF-8"))

# Convert to data frame
df <- as.data.frame(data$data)
head(df)

# With API key for non-USD
eur <- GET(
  "https://api.fxmacrodata.com/v1/announcements/eur/policy_rate",
  add_headers(`X-API-Key` = "YOUR_API_KEY")
)
print(fromJSON(content(eur, "text")))

Java

Uses java.net.http (Java 11+). No external libraries needed.

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class FXMacroDataExample {
    public static void main(String[] args) throws Exception {
        var client = HttpClient.newHttpClient();
        var request = HttpRequest.newBuilder()
            .uri(URI.create("https://api.fxmacrodata.com/v1/announcements/usd/inflation"))
            .build();

        var response = client.send(request, HttpResponse.BodyHandlers.ofString());
        System.out.println(response.body());
    }
}

C# / .NET

Uses HttpClient (.NET 6+).

using System.Net.Http;
using System.Text.Json;

var client = new HttpClient();

// USD inflation — no-key evaluation, up to 100 requests/day
var json = await client.GetStringAsync(
    "https://api.fxmacrodata.com/v1/announcements/usd/inflation"
);

var doc = JsonDocument.Parse(json);
Console.WriteLine(doc.RootElement);

MATLAB

Uses the built-in webread function.

% USD inflation — no-key evaluation, up to 100 requests/day
data = webread('https://api.fxmacrodata.com/v1/announcements/usd/inflation');
disp(data);

% With API key for non-USD
opts = weboptions('Timeout', 30, 'HeaderFields', {'X-API-Key', 'YOUR_API_KEY'});
url = 'https://api.fxmacrodata.com/v1/announcements/eur/policy_rate';
eur = webread(url, opts);
disp(eur);