Check the docs
Confirm the endpoint, authentication, data format, and whether your project is eligible for no-cost access.
THE DIRECTORY
Browse API listings
Search by name, topic, or category. Filter by authentication and catalog source. Community listings are not verified as free.
Loading catalog…
The BM804 list highlights APIs with documented no-cost access. The community snapshot is for discovery only and may include paid services. Always check provider pricing, terms, quotas, and licenses before use.
Community snapshot: public-apis/public-apis, licensed under MIT. View the imported data. Snapshot date: 2026-10-16.
IN PROGRESS
Free dataset sources are coming soon
We’re preparing a curated directory of free public datasets, with direct source links and clear notes about licenses, attribution, and access conditions.
Have a trusted dataset source to recommend? Suggest it on GitHub.
START BUILDING
How to choose and use a free API
Know the limits
Read current quotas, rate limits, attribution rules, and commercial-use terms before you depend on a service.
Build responsibly
Set timeouts, handle errors, cache when allowed, and protect API keys outside your source code.
import requests
url = "https://api.open-meteo.com/v1/forecast"
params = {"latitude": 40.71, "longitude": -74.01, "current": "temperature_2m"}
response = requests.get(url, params=params, timeout=15)
response.raise_for_status()
print(response.json()["current"])This directory is open source on GitHub. Try the API locally in 18 programming languages, or contribute an API with official documentation and current pricing evidence.