Med Engagement Dashboard

Overall Stats

Active Users · 30d
228.4K
+9.3%
Total Sessions · 30d
301.8K
+9.1%
API Calls · 30d
676.7M
+28%
Sessions / User · 30d
1.33
+0%
Top Events
event_nameRecord Count
page_view4,313,041
user_engagement3,122,800
session_start1,812,664
search894,502
file_download1,310
Maintenance Cost
BigQuery · Vertex · Athena
Current / mo
$3.71
99.8% vs. $2,378 start
3,600 queries · 0.11 TB

Graphs

Active Users
+9.3%
228.4K30d · Past Year
Sessions per Active User
+0%
1.3330d · Past Year
Total Sessions
+9.1%
301.8K30d · Past Year
API Calls
+28%
676.7M30d · Mar 2026–Present
Site Traffic Heatmap
Visit density by topic · cluster size ∝ traffic
Cardiovascular
1262K/mo
Oncology
640K/mo
Infectious Disease
1235K/mo
Mental Health
860K/mo
Pain & Anesthesia
784K/mo
Endocrine
1056K/mo
Low
High
AI Executive Summary
Vertex AI
Gemini 2.5 Enterprise via BigQuery ML · generated 2026-07-08 06:00 ET

Engagement stayed healthy through the past 30 days, with more than 213,000 active users and API traffic north of 162 million calls. The balance is telling: automated consumption now dwarfs direct browsing, a signal that Med has settled into its role as infrastructure other clinical tools quietly depend on rather than a destination users visit by hand.

Behavior skews sharply toward quick, targeted lookups. Direct file downloads stay low against the size of the user base, which suggests people are finding answers on the page and moving on instead of pulling documents. Paired with the sustained API volume, the picture is one of a service optimized for fast retrieval and machine-to-machine access at scale.

Week over week the trend held a steady, moderate climb — from roughly 49,300 users the week of June 7 to about 57,900 by June 28 — before a sharp drop to ~27,300 the week of July 5. That dip lines up cleanly with the U.S. Independence Day holiday and reads as a routine seasonal lull, not a regression; traffic is expected to recover in the following weeks.