Pulse AI Incident Analysis

Pulse AI Incident Analysis

Pulse AI automatically analyzes incidents and generates a summary of likely causes and recommended next steps. This article explains how it works, which plans include it, and how to use it.


What Pulse AI Analyzes

When an incident is created, Pulse AI examines:

  • The check history leading up to the failure (status codes, response times, error messages)
  • The incident's characteristics (severity, start time, affected monitor)
  • Historical patterns for this monitor (response time baselines, past incidents)

From this data, Pulse AI generates:

  • A plain-language summary of what likely happened
  • Possible root causes to investigate
  • Recommended next steps to diagnose and resolve the incident

Plan Availability and Limits

Plan Pulse AI Access Daily Limit Monthly Limit
Free Not available
Starter Available 25/day 500/month
Professional Available 100/day 2,000/month
Team Available Unlimited Unlimited

Limits reset at midnight UTC (daily) and on the 1st of each month (monthly).


How Analysis Works

Pulse AI analysis runs automatically: approximately 30 seconds after an incident is created, PulseAPI queues an analysis job. The analysis usually completes within 30–60 seconds of being queued.

On the incident detail page, you'll see the Pulse AI section with one of these states:

  • Pending — analysis has been queued and will run shortly
  • Analyzing — analysis is in progress
  • Completed — analysis is ready to view
  • Failed — analysis failed; you can retry manually

The page polls for updates every few seconds — you don't need to refresh.


Manually Triggering Analysis

If an incident was created before Pulse AI was available on your plan, or if auto-analysis was skipped or failed, you can trigger it manually:

  1. Open the incident detail page.
  2. Scroll to the Pulse AI Analysis section.
  3. Click Analyze (or Retry if a previous attempt failed).

The analysis runs and the result appears within about a minute.

Note: Manual analysis uses one quota unit from your daily and monthly limits.


Reading the Analysis

The analysis appears as a formatted text block. It typically includes:

  • What happened — a plain-language description of the failure pattern
  • Likely causes — ranked list of possible root causes based on the data
  • Recommended actions — specific steps to investigate and resolve the incident

The analysis is a starting point for your investigation, not a definitive diagnosis. Always verify the AI's suggestions against your own knowledge of the system.


Related Articles


Still have questions? Contact support.

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