Report card

Do AI agents pick PagerDuty?

How often agents choose PagerDuty when a developer needs incident management — measured across Claude, GPT, Gemini.

PagerDuty

#2 of 6 incident mgmt
5%Pick Rate
95% CI 2%11%

When developers ask an AI agent for incident mgmt, PagerDuty is picked 5% of the time — ranking #2 of 6 measured across Claude, GPT, Gemini.

Picked 5% Named, not picked 92% Never surfaced 3%

Beaten by incident.io (10%).

Awareness

6 docs in FineWeb (10BT sample) · 2.0K URLs in Common Crawl

Present in the raw crawl and the filtered corpus models train on — solid corpus footprint.

AdoptionDid the pick convert to installs? Public Adoption = npm downloads of your packages. The proof half of the funnel.

911K installs / month ▼ 4% MoM

Installs are roughly flat month over month.

Get the full report

The per-model and per-surface breakdown for PagerDuty — where it wins, where it loses, and to whom — plus an alert when the Pick Rate moves.

About PagerDuty

PagerDuty is an incident management platform that alerts on-call teams when systems fail and helps coordinate response until issues are resolved.

PagerDuty monitors services and routes alerts to the right people through on-call schedules, escalation policies, and notification rules. It provides REST and Events APIs so teams can integrate their own tooling, send incident triggers, and manage acknowledgements and resolutions programmatically. It is used by engineering and operations teams who need to detect, respond to, and track production incidents.

Where to start

Developers typically start by creating a PagerDuty account, generating an API token, and exploring the REST API to manage incidents or the Events v2 API to trigger alerts from their own services. The official JavaScript client supports both APIs and runs in Node and browser environments.

Install

Links and summary verified from public sources.

The rest of the Incident Management ranking

← Full Incident Management leaderboard · How this is measured