Inflation monitor
Track US headline and core inflation alongside EUR/USD.
Open workflowAPI workflow guide
Start with a research workflow and a spreadsheet, or follow an API guide to build your own application.
Choose your next step
Choose a starting point, review the evidence, and keep a workbook you can rebuild.
Track US headline and core inflation alongside EUR/USD.
Open workflowCompare US and euro-area policy rates alongside EUR/USD.
Open workflowInspect retained US inflation releases, values and publication evidence.
Open workflowCheck coverage before choosing a plan. Already use a spreadsheet integration? Follow the Excel guide or Google Sheets guide for supported functions and refresh behaviour.
Evaluating the API? Inspect the restricted historical developer sample and its response fields.
Five practical paths
Selected: Build a macro model
Your 14-day API trial
The goal is not to visit every product page. It is to complete useful authenticated API work, return on another day, and leave with a repeatable dataset or application workflow.
Day 0
Create the key, complete one authenticated request, and save the first response with its metadata.
Open step →Days 1-2
Resolve authentication or filter problems and turn the first script into a named repeatable job.
Open step →Days 3-4
Use the calendar as a second endpoint family and schedule the next useful API run.
Open step →Days 5-7
Add expectations or a small group of macro series, then produce one saved comparison, table, or scorecard.
Open step →Days 8-10
Choose scheduled REST, SSE, or webhooks and complete another successful API run on a different day.
Open step →Days 11-13
Add timeouts, bounded retries, response validation, credential-safe logging, and stale-data monitoring.
Open step →Day 14
Confirm the API supplies a repeatable job your team will keep, then choose the next dataset or application workflow.
Open step →Research system
Start with policy, inflation, labour, and growth. Store observations and metadata consistently, then add scoring only after the underlying dataset is stable.
Working example
Keep your key in FXMD_API_KEY; never paste it into source control.
import os
import requests
root = "https://api.fxmacrodata.com/v1/announcements/eur"
series = {}
for indicator in ("policy_rate", "inflation", "unemployment", "gdp"):
response = requests.get(
f"{root}/{indicator}",
params={"limit": 12},
headers={"X-API-Key": os.environ["FXMD_API_KEY"]},
timeout=20,
)
response.raise_for_status()
series[indicator] = response.json()
print(series.keys())
Expected result: Four consistently structured EUR datasets ready for normalization, scoring, and scheduled refreshes.
When the first script becomes a real system
Use these guides when a response fails, returns no data, or needs production controls such as caching, timeouts, retries, and event delivery.
| Guide | Use it when | Start |
|---|---|---|
| Diagnose a failed or empty response | Separate authentication, access, path, rate-limit, and data-availability problems without exposing your key. | Open guide → |
| Make an API client production-ready | Add timeouts, bounded retries, caching, conditional requests, and the right delivery pattern. | Open guide → |
Coverage, licensing, pricing and integration. Subscribers can also retrieve data.
Answers use AI. Questions are sent to Google. Your email and conversation are saved for support follow-up. Never include keys. Privacy