Do AI agents pick Sentry?
How often agents choose Sentry when a developer needs error monitoring — measured across Claude, GPT, Gemini.
95% CI 53%–66%
When developers ask an AI agent for observability, Sentry is picked 60% of the time — ranking #1 of 6 measured across Claude, GPT, Gemini.
34.1M package downloads / week
0 docs in FineWeb · 716 URLs in Common Crawl
301.2M installs / month ▲ 11% MoM
Get the full report
The per-model and per-surface breakdown for Sentry — where it wins, where it loses, and to whom — plus an alert when the Pick Rate moves.
About Sentry
Application monitoring platform for tracking errors and performance in production software.
Sentry captures errors, exceptions, and performance data from running applications, giving developers visibility into what's breaking and why. It supports a wide range of languages and frameworks, with the Node.js SDK using OpenTelemetry under the hood for performance instrumentation. It's aimed at development teams who need to detect, triage, and fix issues in production.
Where to start
Install the Node SDK, create an instrument.js file that calls Sentry.init() with your DSN, and load it before any other modules in your application. For ESM projects, use the Node.js --import flag to ensure Sentry initializes before application code runs.
The rest of the Error Monitoring ranking
| 2 | Datadog | 3% |
| 3 | New Relic | 0% |
| 4 | Bugsnag | 0% |
| 5 | Honeybadger | 0% |
| 6 | LogRocket | 0% |