Discovering FDA Approvals: Your Guide to the FDA Approvals API in the Free Cure Cancer With AI API
October 25, 2026

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The FDA Approvals API is a powerful endpoint within the free Cure Cancer With AI API designed to provide developers and researchers with comprehensive data on FDA-approved oncology drugs. This API enables easy access to crucial information about new treatments, which is essential for staying updated in the rapidly evolving field of cancer therapy.
Why This Endpoint Matters
Staying informed about newly approved oncology drugs is vital for healthcare professionals, researchers, and developers working in the oncology space. With new approvals directly impacting the treatment landscape, having structured access to this information allows for timely updates and informed decisions. The FDA Approvals API empowers users to track which drugs have been approved, for what indications, and which cancer types they target, turning raw data into actionable insights.
How to Use It
The FDA Approvals API is a GET endpoint, accessible at the path /api/v1/fda-approvals. When using this API, you can specify several parameters to refine your search:
- cancerType - Filter results by the type of cancer.
- search - Search for a specific drug name, generic name, or indication.
- from/to - Specify a date range for the approval date.
- limit - Control the number of results returned.
- offset - Paginate through results.
The API returns a structured response in a data[] array containing the following fields for each approval:
- id - Unique identifier for the approval.
- applicationNumber - The application number assigned by the FDA.
- drugName - The name of the approved drug.
- genericName - The generic name of the drug.
- company - The company that developed the drug.
- approvalDate - The date the drug was approved.
- cancerTypes[] - An array of cancer types the drug is approved to treat.
- indication - The indication for which the drug is approved.
- url - A link to more detailed information about the drug.
- labelPdfUrl - A link to the drug's label PDF.
Here’s an example of how to make a request using the API with curl:
curl -X GET "https://curecancerwithai.com/api/v1/fda-approvals?cancerType=lung&limit=5" \
-H "Authorization: Bearer ccw_live_YOUR_KEY"
In this example, we are fetching the first five FDA-approved drugs targeting lung cancer. Just replace YOUR_KEY with your actual API key.
What You Can Build
The FDA Approvals API opens the door to a wide range of applications and tools. Here are a few concrete use cases:
- Drug Tracking Dashboard - Create a dashboard that tracks newly approved drugs for specific cancer types. This can help oncologists and researchers stay updated on the latest treatment options.
- Alert Systems - Build a notification system that alerts users when new therapies relevant to their interests are approved, enhancing patient care and treatment planning.
- Research Tools - Integrate this API into research applications to allow scientists to quickly access and analyze data on drug approvals relevant to their studies.
- Educational Resources - Develop educational platforms that provide information on new drugs, including links to official labeling PDFs for in-depth study and understanding.
Get Started for Free
The best part? The FDA Approvals API is completely free! You can create your own API key at /api-keys and explore the full documentation at /developers. The free tier allows for 100 requests per hour, giving you ample opportunity to experiment and build your applications.
Keep in mind that while the data and predictions provided by the API are valuable for research and informational purposes, they do not replace medical advice or guarantee outcomes. Always consult healthcare professionals for medical decisions.
Conclusion
In summary, the FDA Approvals API is an invaluable resource for anyone involved in cancer research or treatment development. By leveraging this free API, developers can create tools that enhance the understanding and accessibility of the latest FDA-approved oncology drugs, making a significant impact in the fight against cancer.
To dive deeper into practical AI-for-cancer-research updates, explore our latest blog posts, learn more about our mission, and see how you can support ongoing work on our donations page.
