Usage & analytics

The dashboard gives you a straight read on how authentication is going — how many people are signing up, signing in, and coming back — without wiring up a separate analytics tool.

The metrics

Under Analytics (or GET …/usage on the dashboard API) Atlas reports daily time series plus a headline number:

• Sign-ins per day — successful authentications.

• Sign-ups per day — new users created.

• Emails per day — transactional messages sent (verification, reset, invitations).

• Active users per day — distinct users who were active that day.

• Monthly active users (MAU) — a trailing 30-day distinct count. MAU is computed as a true distinct count of users, never a sum of the daily active-user rows (which would double-count anyone active on more than one day).

Reading the trends

• A gap between sign-ups and sign-ins over the following days is your activation/retention signal.

• A spike in emails without matching sign-ups can indicate reset loops or abuse.

• MAU is the number to watch for growth and for plan sizing.

Security analytics

Attack protection keeps its own view: the anti-bot signal rows (risk verdict, network origin, geo, CAPTCHA result, newest first) show why requests were challenged or stepped up. See Attack protection.

Getting the data out

• The usage series is available on the dashboard API, so you can pull it into your own dashboards.

• For event-level data rather than aggregates, stream webhooks to your warehouse, or export the audit log as CSV.

Next

Return to the start → What is Atlas?.