Update anomaly alerts docs (#13113)

Author: rachrwang

docs/product/alerts/create-alerts/metric-alert-config.mdx

@@ -130,10 +130,11 @@ Change alerts, or alerts that use a percent change threshold, are useful when yo
 ### Anomaly Alerts
 
 <Include name="feature-available-for-plan-trial-business.mdx" />
-<Include name="feature-available-for-user-group-early-adopter.mdx" />
 
 Anomaly alerts automatically detect trends outside expected values. They can be especially helpful for spiky or seasonal data that are too noisy for static or percentage based thresholds. Sentry will look at historical data for the given metric and determine if the current data is anomalous. Certain metrics, like Apdex, are currently not supported for anomaly alerts.
 
+Behind the scenes, anomaly alerts use a combination of two open-source algorithms—[Matrix Profile](https://stumpy.readthedocs.io/en/latest/index.html) and [Prophet Forecasting](https://facebook.github.io/prophet/)—to detect unusual patterns and forecast expected trends. By blending these approaches, Sentry can better distinguish true anomalies from normal fluctuations, reducing false positives and false negatives.
+
 There are three options for alert responsiveness: low, medium, and high. If you choose low responsiveness, then your alert will fire less frequently but with higher confidence. If you choose high responsiveness, then your alert will fire more frequently with a greater chance of false positives. Our recommendation is to start with medium responsiveness, our default, and adjust the responsiveness based on the results you see.
 
 Another setting is to set the direction of the alert: above and/or below the expected bounds. This setting can help increase the signal of your alert rule.