Do AI agents pick Datadog?
How often agents choose Datadog when a developer needs error monitoring — measured across Claude, GPT, Gemini.
95% CI 2%–7%
When developers ask an AI agent for observability, Datadog is picked 3% of the time — ranking #2 of 6 measured across Claude, GPT, Gemini.
15.8M package downloads / week
0 docs in FineWeb · 2.0K URLs in Common Crawl
61.0M installs / month ▲ 2% MoM
Get the full report
The per-model and per-surface breakdown for Datadog — where it wins, where it loses, and to whom — plus an alert when the Pick Rate moves.
About Datadog
Cloud monitoring and observability platform for tracking application performance, infrastructure, and logs.
Datadog collects, aggregates, and stores telemetry data—traces, metrics, and logs—from applications and infrastructure, then makes that data queryable through dashboards, alerts, and analytics. Its APM (Application Performance Monitoring) capability traces requests through distributed systems, helping developers and operations teams identify latency, errors, and performance bottlenecks. It is aimed at engineering teams running production software who need visibility across services, hosts, and cloud environments.
Where to start
Install the Node.js tracer library in your application and configure it to send data to a locally running Datadog Agent, which forwards the data to your Datadog account. From there, traces and metrics appear in your Datadog dashboards where you can set up monitors and alerts.
The rest of the Error Monitoring ranking
| 1 | Sentry | 60% |
| 3 | New Relic | 0% |
| 4 | Bugsnag | 0% |
| 5 | Honeybadger | 0% |
| 6 | LogRocket | 0% |