AI agents for Databox
A Monmo agent works with Databox the way an account manager who reads every Databoard would. It writes the story behind each client's numbers, flags goals that are falling behind, finds out why a metric disagrees with Google Analytics or HubSpot, and plans new Databoards for you to approve. It uses your own Databox access and asks before it creates or changes anything.
Updated 2026-11-13 · Free to start. Paid plans from $15 a month.
What agents do in Databox
Write the monthly client commentary
On the second working day of each month it reads a client's Databoard, compares each metric with last month and the goal, and drafts a narrative in Google Docs that your account lead can edit.
AskOn the 2nd of each month, draft commentary for the Acme Databoard: wins, misses and three recommendations.
Flag goals that are off pace
Every Friday it checks each goal against how far through the period you are, lists the ones behind pace with the gap, and suggests which channel or campaign to look at first.
AskEvery Friday at 3, list Databox goals that are behind pace and say what is dragging each one.
Explain a number that disagrees
When Databox and Google Analytics show different sessions, it compares the date range, time zone and metric definition on both sides and tells you which difference explains the gap.
AskThe Databox sessions figure is 12 percent lower than Google Analytics for October. Find out why.
Plan a new Databoard
Tell it the audience and the decisions they make. It proposes the metrics, data sources and layout, sketches the board, and builds it in Databox once you approve the plan.
AskPlan a one-screen Databoard for our sales lead using HubSpot deals and Google Ads spend.
Add the commentary to the scorecard
When the Monday scorecard arrives, the agent reads it, adds two sentences of context for each metric that moved, and drafts the message for your team's Slack channel.
AskEach Monday, add context to the Databox scorecard and draft it for #marketing. Ask before posting.
Push numbers that have no connector
Figures that live in a spreadsheet, such as offline sales or event leads, are gathered from Google Sheets, checked and prepared as data for a custom metric, then sent after you allow it.
AskEach evening, take the day's event leads from the Leads sheet and prepare them for the Databox custom metric.
Find broken data sources
It lists metrics showing no data, data sources whose connection has lapsed and the person who owns each login, so the right person can reconnect it before the client report goes out.
AskCheck every client account for metrics with no data this week and tell me whose login needs reconnecting.
How it connects
- 1You connect your own Databox account once, with your sign-in or an API token from Databox. If you manage several client accounts, the agent works only in the ones your user can open.
- 2You choose which agents may use Databox. A marketing or reporting agent fits it; a bookkeeping or engineering agent rarely needs it.
- 3Reading Databoards, goals and metrics and drafting commentary need no approval. Creating or editing a Databoard, goal or alert, pushing data to a metric, or sharing a report asks first.
More in Analytics and data
Other apps of this kind that agents work in, each with its own page.
Questions people ask
Can an AI agent write the commentary for my Databox reports?
Yes. A Monmo AI agent reads the Databoard, compares each metric with the last period and the goal, and drafts the narrative a client or manager expects: what improved, what slipped and why, and what to try next. It writes in a Google Doc or alongside the report, and you edit before anything is shared.
Why does Databox show a different number from Google Analytics?
Usually because of the date range, the time zone or the exact metric chosen on each side. The agent checks all three in Databox and in Google Analytics, works out which explains the gap and tells you which figure to trust for your report. It changes no settings unless you approve.
Can the agent create Databoards and goals for me?
It plans them, then builds once you allow it. The plan names each metric, its data source and its place on the board. When you approve, it creates the Databoard or goal through the Databox connection, or in its own browser when the connection does not cover something.
Does it work for an agency with many client accounts?
It works in the client accounts your Databox user can open, one at a time or on a schedule that walks through them all. Each client's commentary is kept separate, and you can give a different agent each group of clients if your team is organised that way.