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§ Agent · Amplitude

The Amplitude data agent that acts the way you would.

It keeps an eye on your Amplitude product usage alongside the revenue, support, and account data that makes it mean something, on a schedule you set or whenever fresh data lands. When a pattern shifts, it tells you, or handles it the way you'd want.

D
DefiniteAPP9:14 AM · #product-signals
⚠️ Activation on the new onboarding flow dropped to 41%, down from 58%

The cohort that signed up this week is completing the core action far less often than your trailing baseline, and it is concentrated in self-serve accounts on the latest app version.

Review & approve Dismiss
Amplitude Event + Active Users + Cohort · joined to billing plan and support tickets · 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

Spot the accounts whose usage says they're ready to expand

It watches your Amplitude usage next to billing plan and account data, so you find out which accounts are leaning on the product hard enough to upgrade, before the renewal conversation, not after. The usage signal and the revenue context live in one place, which is the join Amplitude can't make on its own.

Active UsersCohortEvent
Activation

Catch an activation drop while you can still fix it

When a new cohort completes the core action less often than your baseline, it tells you which flow and which segment, then hands off to Fi to dig into why across the events you've tracked. You hear about a broken onboarding step this week, not in next month's funnel review.

EventActive UsersCohort
Engagement

Watch for the quiet drop in active usage

When daily or weekly active users slip below trend, or session activity falls off in a segment that used to be sticky, it surfaces the move and the accounts behind it. You catch the disengagement early, while there's still time to act on it.

Active UsersSession
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 Amplitude object, modeled and query-ready the moment you connect.

Event
productengagement
Active Users
productengagementcustomer
Session
productengagement
Cohort
productcustomerengagement
Annotation
productoperations

It runs on your real Amplitude project (untracked events, renamed properties, cohorts you set up months ago 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 Amplitude, 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 Amplitude 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.
That answers questions about Amplitude in isolation, when you ask. This watches continuously, reasons across your product usage plus billing, support, and account data, and hands off to Fi to investigate why, so you find out the moment a pattern shifts, not the next time you go looking.

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