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The Postmark Statistics API

The Postmark web app is full of great information about the emails you send and process. You can view emails sent, processed, bounced and even filter by tag and by date range. We also have weekly digests, showing combined statistics for each week per server. But what if you wanted to get these statistics into your own application? We’ve already made some huge leaps in our API when we launched endpoints for Messages, Servers and Sender Signatures.

Today, after a lot of work by Milan and the rest of the team, we’re launching the Stats API. This new endpoint will allow you to build statistics information directly into your own applications. Let’s cover some of the awesome things you can do with it.

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Build a CSV of bounced emails using the Postmark API

If you send emails, it makes sense that you would want to analyze which email addresses are bouncing. Postmark has a few ways that you can get this information. You can view the information in the Activity section of the website. You can set up a bounce hook so that Postmark will send a POST request to your web server every time we process a bounce. Additionally, you can use our API endpoints to retrieve the data. With this post, I’ll provide a simple example using Ruby to retrieve bounces using the API and saving the data to a CSV.

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Update to Heartbleed vulnerability

We’ve been spending the last two days auditing and responding to the OpenSSL vulnerability that’s known as Heartbleed. This bug is notable because it is widespread (around 70% of the Internet uses Apache and Nginx, and by extension, OpenSSL) and can cause disclosure of sensitive data, including private keys and passwords. The issue has been assigned the following CVE identifier: CVE-2014-0160.

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Improvements to date selector in statistics table

Today we released an improvement to our date selector for the stats overview chart. We realized that some filter names were confusing, and others were missing.

The purpose of the filter is to get you the data you want to see quickly. Instead of having to choose a start and end date, you can just click “Last 7 days” and view that time span instantly

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