Scheduled Zap Uptime

What is Scheduled Zap Uptime?

Scheduled Zap Uptime measures the percentage of time Zapier’s scheduled automations (Zaps) run successfully and on time, without delays, errors, or downtime.

It reflects the reliability and operational health of time-triggered Zaps, such as daily reports, hourly syncs, or periodic data refresh workflows. A consistently high uptime ensures automations execute as intended, supporting data integrity and process continuity across systems (e.g., CRMs, BI tools, email systems).

How to Calculate Scheduled Zap Uptime?

To calculate Scheduled Zap Uptime, you need data on:

  • Total scheduled Zap runs (expected runs within a defined period).
  • Successful scheduled Zap runs (completed without error or delay beyond a set threshold).
  • Failed or delayed runs (due to API timeouts, authentication errors, or platform downtime).

These logs are accessible in Zapier Task History, Zapier Platform Status, or via monitoring tools like Zapier Manager, Datadog, or Opsgenie integrations.

Steps to Calculate Scheduled Zap Uptime

  • Step 1 : Identify all Zaps triggered by a schedule (e.g., “every day at 8 AM”), exclude those triggered by webhooks or app events.
  • Step 2 : Choose a consistent period (daily, weekly, or monthly).
  • Step 3 : Collect execution data
  • Step 4 : Define success criteria
  • Step 5 : Use the uptime calculation formula below.
  • Step 6 : Segment uptime by Zap type, frequency, or connected app to spot systemic issues.

Formula to Calculate Scheduled Zap Uptime

Scheduled Zap Uptime (%) = (Number of Successful Scheduled Runs ÷ Total Scheduled Runs) × 100

Benchmark for Scheduled Zap Uptime

Zapier’s own infrastructure typically maintains >99.9% uptime.

Related Metrics for Scheduled Zap Uptime

  • Zap Success Rate
  • Zap Failure Rate
  • Zap Delay Rate

FAQ's

Common causes include Zapier platform downtime, connected app outages, API rate limits, or expired authentication tokens. Complex multi-step Zaps also tend to fail more frequently.

Uptime measures whether Zaps run on time, while success rate measures whether they complete successfully after being triggered. A Zap might run (counted in uptime) but still fail due to an API error (affecting success rate).

Not natively. You can build a monitoring workflow using Zapier Manager + Google Sheets or Looker Studio to log each scheduled run and calculate uptime automatically.