How API Drift Silently Breaks Data Pipelines | by Mohammad Khorasani | Data Science Collective | May, 2026 | MediumSitemapOpen in appSign up<br>Sign in
Medium Logo
Get app<br>Write
Search
Sign up<br>Sign in
Data Science Collective
Advice, insights, and ideas from the Medium data science community
Member-only story
How API Drift Silently Breaks Data Pipelines
And How to Catch It Early
Mohammad Khorasani
6 min read·<br>1 day ago
Listen
Share
Press enter or click to view image in full size
Photo by Rahul Mishra on UnsplashYou built a robust ML pipeline. The model is solid, the preprocessing is tight, the scheduler is running. Then one Monday morning, everything breaks — and the root cause is a field renamed in an upstream API three weeks ago.<br>The Problem Nobody Talks About<br>Data scientists spend enormous effort making models accurate and pipelines reliable. But there’s a fragile link in almost every production ML system that gets surprisingly little attention: the external APIs your pipeline depends on.<br>Whether you’re pulling features from a third-party data provider, calling an internal microservice for inference, or fetching real-time signals from a partner’s endpoint — your pipeline is only as stable as the contracts those APIs promised you.<br>The problem is that APIs change. Field names get renamed. Response shapes shift. An endpoint that used to return user_id now returns userId. A score that was a float becomes a string. A required parameter becomes optional — or vice versa. These changes happen quietly, often without announcement, and they don’t always cause an immediate crash. Sometimes they introduce a subtle data quality regression that takes weeks to notice.
Published in Data Science Collective<br>924K followers<br>·Last published 4 hours ago
Advice, insights, and ideas from the Medium data science community
Written by Mohammad Khorasani
1K followers<br>·10 following
Hybrid of an engineer and a computer scientist. Author of ‘Streamlit for Web Development.’
Help
Status
About
Careers
Press
Blog
Privacy
Rules
Terms
Text to speech