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§ Agent · Auth0

The Auth0 data agent that acts the way you would.

It watches your Auth0 login and identity data alongside your product usage and billing, on a schedule you set or whenever fresh data lands. When an account goes quiet or a login pattern shifts, it tells you, or handles it the way you'd want.

D
DefiniteAPP9:14 AM · #cs-alerts
⚠️ 12 accounts dropped below login threshold this week, $87k ARR at risk

12 accounts averaging 40+ weekly active users fell below 10 WAU in the last 7 days. 8 of them have renewals in the next 60 days. That is 3x your normal weekly drop-off rate.

Review & approve Dismiss
Auth0 Log Events + Users · joined to Stripe billing · audit log

How an agent works

An agent watches one thing and acts on it. Not a workflow, just a standing watch that usually does nothing and acts the moment it should.

◄ repeats on the schedule you set ►

You stay in control

An agent does what you'd do, and only what you've authorized.

The same trusted numbers

It acts on the same governed metrics as your dashboards, and every action is logged and traceable.

You approve anything that writes

It alerts and recommends on its own; anything that changes data is yours to approve.

Try it on a test channel first

Point a new agent at a throwaway channel and watch its judgment before it touches anything real.

No false alarms

It remembers what it already flagged and waits before acting again, so it won't alert you about the same thing twice.

What you can put an agent on

Churn riskACROSS YOUR SOURCES

Spot accounts going dark before the renewal conversation

It joins Auth0 login activity to your billing data and flags accounts whose usage has fallen off a cliff relative to their baseline. You get the at-risk list ranked by ARR with days-to-renewal, not a dashboard you have to remember to check.

Log EventUser
Onboarding

Catch stalled activations before they become churn

When new users sign up but never complete their second login, it tells you which accounts are stuck, how far they got, and which application they signed up through, so your team can reach out while the intent is still warm.

UserApplicationLog Event
Security

Surface anomalous login patterns with account context

When failed login attempts spike or a new geography appears in the logs, it flags the affected accounts, the applications involved, and whether those accounts carry meaningful revenue, so you can prioritize response by business impact.

Log EventUserApplication
Custom

Run any Python it needs to get the job done

Beyond alerts and write-backs, an agent can run arbitrary Python, so it can do whatever the task actually requires: call an API, kick off a job, reshape the data, or wire into your own tooling. The action space is yours to define.

Why not just build it yourself?

You could rig one of these with a cron job and a Slack webhook in an afternoon. The watching is the easy part. Here's what you'd own forever, and don't, here:

  • The cross-source join: not one tool's data, but it reconciled against the rest of your stack
  • A trusted, consistent metric: the same number your dashboards use
  • The investigation into why, when something fires
  • A full audit trail of everything it did
  • The upkeep, when the schema drifts or the script breaks at 2am

The data it works from

Every Auth0 object, modeled and query-ready the moment you connect.

User
customermarketing
Application
customermarketing
Log Event
customerengagement

It runs on your real Auth0 tenant (test users, blocked attempts, legacy connections and all), not a tidy demo.

Where it acts

Slack

A message in the channel you choose, with the context and a button to act on it.

Email

A summary in the inbox of the people who need to see it.

Webhook

A payload to your own systems, to wire the agent into whatever you already run.

Warehouse write-back

A flag written back to your warehouse for everything downstream to pick up.

Hand off to Fi

Kick the question to Fi to investigate the why and propose the fix.

MCP

Expose it to your own agents and tools over MCP, and drive it from your stack.

Run it in your own VPC or fully self-hosted. Everything it does is pure SQL and Python you can inspect.

Build your agents with Fi

Fi is your AI analyst. It helps you build and customize everything in Definite, including the agents that watch and act.

Fi

Your AI analyst. Ask questions in plain English, and let it help you build and customize everything in Definite, including your agents.

Meet Fi →

Agents

The watchers and actors. Once you've built one, it runs on its own, keeping an eye on what matters and acting the way you would.

Autonomous agents →

Get started

  1. 1Connect Auth0, and the sources it needs to reconcile against. Synced and modeled in an afternoon.
  2. 2See the numbers tie out to what you already trust.
  3. 3Put an agent on one thing you can't afford to miss. Fi helps you build it.
§ FAQ

Common questions

You set the schedule, and it also re-checks whenever fresh Auth0 data lands. Each agent watches the one thing you point it at, nothing else.
It alerts and recommends on its own. Anything that writes, whether to a tool, your warehouse, or a customer, is yours to approve. You can also point a new agent at a test channel first and watch its judgment before it touches anything real.
When something fires, it can hand off to Fi to investigate, drilling into the data it has across your connected sources to find what's behind the move, and showing its work.

Your answer engine
is one afternoon away.

Book a 30-minute call and watch us build your first dashboard live, with your own data.