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Quick start

Flitch activity

Chart Flitch itself: who reads your dashboards, what is failing, and where the spend goes.

Flitch is an AI BI tool that connects to Flitch activity and turns your data into shareable dashboards. Every other source tells you about your business. This one tells you about your Flitch. Add it and you get a dataset you can chart like any other: who is reading what you publish, which of your data refreshes are failing, what your credits are being spent on, which endpoints your integrations call, and what you are holding that nothing reads.

  • Dashboard usage: views per dashboard, day and viewer
  • Refresh history: runs, failures, duration and the last error
  • Credit usage: who spent them, on what, and with which model
  • API usage: requests, errors and throttling per endpoint
  • Dataset usage: freshness, size, and what reads each one

How do you connect Flitch activity to Flitch?

Nothing to connect. It is your own workspace, so there are no credentials.

Generate a dashboard

Pick a prompt to get started.

Flitch activity FAQ

What can I actually see?

Five things: dashboard usage, refresh history, credit usage, API usage and dataset usage. Each is a dataset you can chart, combine with your own data, or ask the assistant about.

Can I see who viewed a published dashboard?

People signed in to Flitch are named. Anyone reading a public link counts as Anonymous, because there is no account behind that visit. Nothing identifying them is included.

Does it go stale?

No. The rows are recomputed every time the dataset is read, so a chart built on it moves as people use your dashboards.

Why does refresh history show one row per day rather than per run?

Refresh logs run to millions of rows, so a row per run would be unreadable. A day grain answers which pipelines are failing, and how badly, without the noise.

Do I need to connect anything?

No. It is your own workspace, so there are no credentials and nothing to authorise. Add it from the Data page and pick which of the three you want.

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