Steam player trend data for AI assistants

Track concurrent player counts and game momentum for any title on Steam. Player trend data reveals which games are growing, which are declining, and when major launches or updates are driving spikes.

Tools for this workflow

`get_trends`

Chart the full concurrent player history for any Steam game by display name - see the launch spike, post-launch retention curve, and whether a title holds its playerbase or bleeds out.

get_trends(keyword='Counter-Strike 2', source='steam', data_mode='weekly')

`get_growth`

Calculate Steam player count growth over 3 months and 1 year - a game with consistent positive growth well after launch is building a durable audience, not riding a launch spike.

get_growth(keyword='Palworld', source='steam', percent_growth=['3M', '1Y'])

`get_ranked_trends`

Find which games are growing fastest in concurrent players right now - useful for spotting breakout titles before they dominate headlines or Twitch charts.

get_ranked_trends(source='steam', sort='yoy_pct_change', limit=25)

`get_top_trends`

See which apps and games are topping App Store and Google Play charts right now - surfaces what consumers are downloading and playing across mobile and PC in real time.

get_top_trends(type='App Store Top Free', limit=20)

FAQ

Common questions

What Steam data does Trends MCP return?

Normalized concurrent player count trends (0-100 scale) for any game on Steam. Returns weekly time series, growth rates, and peak player data. Useful for tracking game momentum before and after launches, updates, or sales events.

How do I identify a game for the query?

Use the game's display name as it appears on Steam - for example 'Counter-Strike 2', 'Palworld', or 'Elden Ring'. The MCP server resolves the name to the correct Steam App ID automatically.

What is a concurrent player count?

The number of players actively in-game at the same time, tracked by Steam. Peak concurrent players (PCU) is a standard metric for measuring a game's popularity and live engagement level.

How is this useful for investment or market research?

Game studios, investors, and analysts use Steam player trends to gauge a title's commercial momentum, identify breakout games early, and track how a game retains players over time.

How far back does the data go?

Up to 5 years of weekly data, giving you full launch history, seasonal cycles, and long-term retention trends for any game on Steam.

get_trends

get_growth

get_ranked_trends

get_top_trends

Common questions

Start building with live trend data

`get_trends`

`get_growth`

`get_ranked_trends`

`get_top_trends`