Paperless Post Outage History

3 incidents recorded over the last 365 days, 3 of them resolved. Durations are measured from when PulsAPI first saw the problem to when it cleared, which is usually longer than the vendor's own figure.

Every Recorded Paperless Post Incident

Paperless Post incidents, newest first, with date, duration and status.
DateIncidentDurationStatus
Jun 23, 2026Degraded text message sendingWe have resent all previously affected text messages to deliverable phone numbers. Thank you for your patience while we worked with our third-party provider to resolve this issue.69h 15mResolved
Mar 6, 2026Site SlownessWe have fully resolved the site slowness at this time. Please reach out if we can help with anything else: https://www.paperlesspost.com/contact33 minResolved
Dec 16, 2025SMS sending outageWe have fully resolved the text sending issues at this time. Any queued text messages have now been sent. Please let us know if we can help with anything else: help@paperlesspost.com19h 38mResolved

Hear about the next one while it is open

Everything above is a record written after the fact. We can email you when the next Paperless Post incident opens instead, at the point where knowing still changes what you do.

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How to Read This Paperless Post Incident Log

Each row is an incident PulsAPI observed, not a summary written afterwards. The duration is wall-clock time between the first failing check and the first clean one, so it includes the window before Paperless Post acknowledged anything. Vendor post-mortems typically measure from acknowledgement, which is why their numbers are usually shorter.

Incidents still open have no duration yet and are listed as ongoing rather than being given a running total. The archive covers the last 365 days; anything older has aged out of the window rather than never having happened.

The longest single Paperless Post outage in this window ran 2d 21h, against a mean recovery of 1d 5h. If you depend on Paperless Post in a customer-facing path, the longest figure is the one to design around. The mean is what happens on a normal bad day; the maximum is what happens on the worst one.