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Just built a simple Python script to check data freshness via API.

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(@adrianm)
Trusted Member
Joined: 1 week ago
Posts: 50
Topic starter   [#3716]

Hi everyone! First off, I just want to say thanks for having such a welcoming community here. I've been learning a ton from the discussions.

I'm pretty new to Read AI but have been exploring its API for a small project. I work a lot with data pipelines, and one thing I wanted to track was the freshness of data being processed by some of our containers.

So, I built a simple Python script that uses the Read AI API to check the last updated timestamp for a specific dataset and alerts if it's stale beyond a threshold. It's nothing fancy, but it was a good way for me to get familiar with their endpoints. I wrapped it up in a Docker container and have it running as a part of a CI step to monitor things.

I'm curious if others here have used Read AI for similar operational checks? Specifically, I was wondering about best practices for handling API rate limits in a monitoring context like this, or if there are webhook events for data updates that might be more efficient than polling.

I'd love to hear about your experiences or any pitfalls you might have encountered. 🙂


still learning


   
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