See how the business is doing, as it happens.

Send business events from your code. Datius turns them into live dashboards, alerts and reports your whole team can read.

The Meridian Market retail dashboard for September 30, 2026, with revenue, orders, checkout time and stock charts

Monitoring tools tell you the checkout server is up. Datius tells you orders dropped by a third at two o'clock, and which store it started in.

A few lines of code, then it runs itself.

Define
Name a signal, pick its type (counter, number, currency, percentage or duration) and list the tags it carries.
Send
Emit values from your code with the Node.js SDK or the HTTP API. Enterprise can also map OpenTelemetry metrics and traces.
Watch
Values show up in the live view as they arrive and feed your dashboards, alert rules and reports.
checkout.ts
import { Datius } from "@datius/node";const datius = new Datius({  apiKey: process.env.DATIUS_API_KEY,  endpoint: "https://datius.io",});// After an order is paiddatius.emit("order_revenue", {  value: 84.5,  tags: { store: "denver", channel: "web" },});

Everything between the event and the decision.

Every plan, including the free one, gets dashboards, the live view, alerts and reports.

Dashboards your team will actually open

Scorecards, line, bar and pie charts. Combine signals into derived metrics like average order value, then look back at any day.

Revenue, orders, basket size and refund scorecards above revenue and checkout time charts

Watch it arrive

The live view lists every value as it lands, so you can check an integration the moment it ships.

The live telemetry view with an event volume chart and incoming checkout events

Alerts before customers notice

Set a threshold on any signal and get told in the app or by webhook. Pro and Enterprise can send email too.

Alert rules for refunds over $200 and depleted stock levels
  • Reports and CSV export

    Break any signal down by its tags over any date range, then export it for finance.

  • OpenTelemetry

    Already on OTel? Map existing metrics and traces to signals, no new code. Enterprise plan.

  • Your data, your bucket

    Telemetry is stored as Parquet files. On Pro and Enterprise they can live in your own storage bucket.

Use cases

Whatever you sell, the signals look familiar.

Follow revenue and orders by store and channel, and catch a slow checkout the day it starts.

Example signals for retail and e-commerce
SignalTypeTags
order_revenueCurrencystorechannel
orders_placedCounterstorechannel
checkout_conversionPercentagedevice
checkout_timeDurationpayment_method
Not another monitoring tool

Built for the business, not the servers.

Keep your monitoring for uptime. Use Datius for the numbers the rest of the company asks about.

What it watches
Orders, revenue, sign-ups and the other numbers you report onTypical monitoring: Servers, logs and request errors
Shape of the data
Defined signals with a fixed type and a known set of tagsTypical monitoring: Free-form log lines and metric names that drift
Who reads it
Engineering, operations and leadership, from the same dashboardsTypical monitoring: The on-call engineer
Where it's stored
Parquet files, in your own bucket on Pro and EnterpriseTypical monitoring: Inside the vendor's platform

Start with the free plan.

Community costs nothing and needs no card. Upgrade when the team or the volume grows.