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§ Agent · Clickup

The Clickup data agent that acts the way you would.

It keeps an eye on your Clickup tasks, goals, and time entries alongside the rest of your warehouse, on a schedule you set or whenever fresh data lands. When something drifts, it tells you, or handles it the way you'd want.

D
DefiniteAPP9:14 AM · #delivery-alerts
⚠️ Northwind project is 19% over budgeted hours with 3 weeks left

142 tracked hours against 120 budgeted, and the burn rate is climbing while two milestone tasks are still open, well past the trend on your other active projects.

Review & approve Dismiss
Clickup Time Entry + Task + Goal · joined to your project budgets in the warehouse · 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

ReconcileACROSS YOUR SOURCES

Tie tracked time to budgets and what you actually billed

It joins your Clickup time entries and task status against the project budgets and invoices already in your warehouse, and flags the projects bleeding hours before they blow the margin. You find out a project is underwater while there's still time to act, not at the retro.

Time EntryTask
Deadlines

Catch a project slipping before the milestone does

When task completion stalls or a goal's target date drifts out of reach, it tells you which tasks are blocking, who they're assigned to, and how far off pace the project is. You hear about the slip while you can still reroute work, not when the deadline arrives.

TaskGoal
Capacity

Spot a team running hot before it burns out

It watches logged hours and open task load across your project structure and flags where a person or team is carrying well past their usual capacity. You can rebalance before the overload turns into missed work or churn.

Time EntryProject Structure
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 Clickup object, modeled and query-ready the moment you connect.

Task
operations
Time Entry
operationsrevenue_finance
Goal
operations
Project Structure
operations

It runs on your real Clickup workspace (half-filled custom fields, abandoned lists, time logged after the fact 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 Clickup, 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 Clickup 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.
Clickup Brain answers questions about what's inside Clickup, when you ask it. This watches continuously, reasons across your tasks and time alongside the budgets and invoices in your warehouse, and hands off to Fi to investigate why, so you catch the overrun before it lands, not after.

Your answer engine
is one afternoon away.

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