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§ Agent · Mixpanel

The Mixpanel data agent that acts the way you would.

It keeps an eye on your Mixpanel events and funnels alongside your revenue and account data, on a schedule you set or whenever fresh data lands. When activation or retention moves, it tells you, or handles it the way you'd want.

D
DefiniteAPP9:14 AM · #product-signals
⚠️ Activation in the new onboarding flow dropped 11 points week-over-week

Of 1,840 signups this week, 47% reached the aha event vs your ~58% baseline. The drop is concentrated in self-serve accounts on the paid plan, the ones that expand.

Review & approve Dismiss
Mixpanel Funnel + Event · joined to revenue and account data · 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

ExpansionACROSS YOUR SOURCES

See which usage actually predicts expansion and churn

It watches your Mixpanel events and cohorts joined to the revenue and account data that tells you what they're worth, so you learn which behaviors lead to expansion and which precede churn. That join lives outside Mixpanel, so you've never been able to watch it continuously until now.

EventCohortRevenue
Activation

Catch an activation drop before the cohort ages out

When a funnel's conversion to your aha event breaks its trend, it tells you which step is leaking and which accounts are stuck, then hands off to Fi to dig into why across the events it can see. You hear about it while you can still fix the onboarding, not at the next QBR.

FunnelEventPerson
Retention

Watch retention move by the cohort that matters

It tracks how each cohort comes back week over week and flags the moment a segment's curve flattens, with the release annotation that lines up in time. You find out a feature ship hurt retention from the data, not from a churned renewal.

CohortEventAnnotation
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 Mixpanel object, modeled and query-ready the moment you connect.

Event
productengagement
Person
productcustomerengagement
Funnel
productengagement
Cohort
productcustomerengagement
Revenue
revenue_financeproduct
Annotation
productoperations

It runs on your real Mixpanel project (renamed events, undefined properties, the funnel you never quite cleaned up), 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 Mixpanel, 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 Mixpanel 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.
Those answer questions inside Mixpanel, when you ask, on the events Mixpanel has. This watches continuously, reasons across your usage plus revenue and account data, and hands off to Fi to investigate why, so you catch a retention slide before it shows up as a missed renewal.

Your answer engine
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