Steam concurrent player trends for any game over time. Free key at trendsapi.ai
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Steam trend data as clean JSON: monthly concurrent player time series for any game, growth rates and the live most-played feed from one REST endpoint. No Steam Web API key, no scraping SteamDB.
One endpoint. One API key. One normalized 0-100 trend score you can compare against 14 other platforms.
Docs: https://trendsapi.ai/#quickstart ยท llms.txt: https://trendsapi.ai/llms.txt ยท Free API key (100 req/mo): https://trendsapi.ai/#get-key
1. Get a free API key at https://trendsapi.ai/#get-key - 100 requests/month, no credit card.
2. Make your first call:
Python:
Node.js:
| Mode | What it returns | Needs a keyword? |
|---|---|---|
get_time_series | Historical concurrent players as a normalized 0-100 series | yes |
get_growth | Growth % over 3M / 6M / 12M / 5Y windows | yes |
get_top_trends | Live trending feeds (21 of them) | no |
| Steam Web API / SteamDB | Trends API | |
|---|---|---|
| Player history | not exposed by Steam | monthly series |
| SteamDB scraping | against ToS, brittle | one call, JSON |
| Growth rates | compute yourself | 3M/6M/12M/5Y built in |
| Cross-industry compare | no | same scale as 14 other sources |
| Free tier | n/a | 100 requests/month |
The same API key powers the Trends API MCP server, so Claude, Cursor, VS Code, ChatGPT and any MCP-compatible client can query this data in natural language.
Cursor / Windsurf / Cline (~/.cursor/mcp.json or equivalent):
VS Code / GitHub Copilot (.vscode/mcp.json):
Claude Desktop (claude_desktop_config.json):
Claude.ai (browser): Settings -> Connectors -> Add custom connector -> https://api.trendsapi.ai/mcp
Then ask things like:
| Source | source value | What it measures |
|---|---|---|
| Google Search | google search | Search volume |
| Google Images | google images | Image search volume |
| Google News | google news | News search volume |
| Google Shopping | google shopping | Shopping search volume |
| YouTube | youtube | Search volume |
| TikTok | tiktok | Hashtag volume |
reddit | Subreddit subscribers | |
| Amazon | amazon | Product search volume |
| Wikipedia | wikipedia | Page views |
| News volume | news volume | Article mention volume |
| News sentiment | news sentiment | Positive / negative score |
| App downloads | app downloads | Android downloads (AppBrain) |
| App rankings | app rankings | Android chart position |
| npm | npm | Weekly package downloads |
| Steam | steam | Concurrent players (monthly) |
get_top_trends, no keyword needed)| Feed | type value |
|---|---|
| Google Trends | Google Trends |
| Google News Top News | Google News Top News |
| TikTok Trending Hashtags | TikTok Trending Hashtags |
| TikTok Trending Searches | TikTok Trending Searches |
| TikTok Shop Hot Products | TikTok Shop Hot Products |
| YouTube Trending | YouTube Trending |
| X (Twitter) Trending | X (Twitter) Trending |
| Reddit Hot Posts | Reddit Hot Posts |
| Reddit World News | Reddit World News |
| Wikipedia Trending | Wikipedia Trending |
| Amazon Best Sellers Top Rated | Amazon Best Sellers Top Rated |
| Amazon Best Sellers by Category | Amazon Best Sellers by Category |
| App Store Top Free | App Store Top Free |
| App Store Top Paid | App Store Top Paid |
| Google Play | Google Play |
| Top Websites | Top Websites |
| Spotify Top Podcasts | Spotify Top Podcasts |
| Steam Most Played | Steam Most Played |
| GitHub Trending Repos | GitHub Trending Repos |
| IMDb MOVIEmeter | IMDb MOVIEmeter |
| Open Library Trending Books | Open Library Trending Books |
Monthly concurrent player counts for any game as a normalized time series, growth percentages over 3M/6M/12M/5Y windows, and the live Steam Most Played feed.
No. One Trends API key covers Steam and every other source.
SteamDB is a website you scrape (against its terms). Trends API gives you the same class of data as clean JSON with normalization and growth already computed, in the same response shape as 14 other sources.
Query Steam alongside youtube or google search for the game title and compare normalized scores. Player counts and content interest often diverge in interesting ways.
Up to 5 years of monthly data on paid plans; 90 days on the free tier.
MIT - see LICENSE. Data is served by Trends API; usage of the API itself is subject to the plan limits on your key.
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