DailyPay Outage History

3 incidents recorded over the last 365 days, 1 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 DailyPay Incident

DailyPay incidents, newest first, with date, duration and status.
DateIncidentDurationStatus
Oct 2, 2026Mobile Login LatencyThis incident has been resolved. All application functionality, including logins and transfers, has been fully restored and systems are operating normally. We apologize for the inconvenience.2h 31mResolved
Aug 23, 2026Scheduled Maintenance: App & Transfer ServicesScheduled maintenance is complete and DailyPay is fully operational. You can log in as normal, access earnings, and make transfers. Any pending transfers have resumed. Thank you for your patience. If you are still…4h 0mScheduled
Nov 16, 2025Scheduled Maintenance: Core Database UpgradeThe scheduled maintenance has been completed.2h 0mScheduled

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 DailyPay incident opens instead, at the point where knowing still changes what you do.

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How to Read This DailyPay 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 DailyPay 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 DailyPay outage in this window ran 4h, against a mean recovery of 2h 50m. If you depend on DailyPay 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.