Open Channel Stats

The open data

Take the data home.

Every public channel on Open Channel Statspublishes its full record as a single SQLite file — every video, every quiet day, every metric, refreshed daily. The file is the same data the dashboards read, with no parts held back, and it travels with AI-ready prompts for a conversation over the numbers.

  1. One file per channel

    A public channel's whole catalog downloads as a single SQLite file — daily reads, video states, traffic patterns, and every raw row. It is the same data the dashboards are drawn from, with no parts held back. It opens in any SQLite client, runs in an in-browser SQL playground, or uploads to an AI model that accepts file attachments.

  2. A database that describes itself

    The file carries its own documentation. A handful of catalog tables — its overview, its table and column catalogs, its query examples, and a set of utility views — let a reader, or an AI, learn the shape of the file from inside the file. No external schema sheet to find first.

  3. Honest by construction

    The file keeps the same posture as the site: observations, not advice; forecasts recorded beside their own track record; the conditions each number was drawn under written down rather than smoothed away. An analyst-mode sibling file strips the stored conclusions, so a model loading it reasons from the raw rows instead of repeating a verdict.

Where to start

The download lives on each channel.

There is no single file for the whole network — each public channel carries its own. The directory and the daily spotlight are the way in; a channel that has not connected yet can join.