Aggrometer — Gaming Attention Data (players, viewers, hype)
Pricing
from $40.00 / 1,000 aggrometer data queries
Aggrometer — Gaming Attention Data (players, viewers, hype)
Live cross-platform gaming market data: Steam concurrent players, Twitch + YouTube live viewership, the aggro ratio (viewers/players), genre rollups, pre-release hype, per-game history. Pay per query.
Pricing
from $40.00 / 1,000 aggrometer data queries
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Kyle O'Connor
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Aggrometer — Gaming Attention Data
Unofficial. This Actor is not affiliated with, endorsed, or sponsored by Valve/Steam or Twitch. It provides independently derived aggregates and estimates compiled from publicly available platform interfaces.
Live gaming market intelligence, pay-per-query. Aggrometer continuously measures ~2,000 games across Steam concurrent players (hourly) and Twitch live viewership (15-minute, game-level aggregates) — joined per game with prices, discounts, top-seller ranks, clip velocity, review counts, and pre-release hype. One query = one charge. No subscription.
The aggro ratio
aggro = live viewers ÷ concurrent players, same hour. Above 1.0, a game holds more audience than players — the signal that streamer marketing converts, that a spectacle moment is happening, or that attention is arriving ahead of sales. This Actor is the pay-per-use door to that dataset.
What you can query
Set endpoint in the input to one of:
| endpoint | returns |
|---|---|
aggro (default) | The aggro board: attention ratios per game (min 500 players); filter by genre |
players | Top 100 games by Steam concurrent players; filter by genre |
watched | Top 100 by live Twitch viewers — game-level averages, peaks, and channel counts |
genres | Genre rollup: game count, players, viewers, genre-level aggro, combined hype of unreleased games |
hype | Aggrometer Anticipation Index: top-wishlisted unreleased games scored with pre-release Twitch attention |
game | Full profile for one app_id: hourly player/viewer history, prices, sales-rank appearances, clips/day, reviews, metadata |
search | Find Steam app_ids by name (query input) |
summary | Warehouse coverage and data freshness |
Example
Input:
{ "endpoint": "aggro", "genre": "RPG", "platform": "twitch" }
Output (dataset rows):
{"app_id": 262060,"name": "Darkest Dungeon","genres": "[\"Indie\",\"RPG\",\"Strategy\"]","players": 6566,"viewers_avg": 21868,"aggro": 3.33}
Who uses this
- Game developers & publishers — market research: which genres are heavily played but under-streamed, launch-window scouting, competitor attention tracking
- Marketing teams — where a game's attention lives: watched-vs-played balance at the game and genre level
- Analysts & press — attention momentum, hype-to-release pipelines, price/discount effects on player counts
- AI agents — everything above, autonomously; every board returns clean structured JSON
Data quality & cadence
Game-level derived aggregates and estimates only. Cadence: players hourly · Twitch viewership 15-min · prices, ranks, clips & anticipation daily. History accrues continuously since 2026-08-26; sparse series indicate a young warehouse, not missing coverage. Live viewership data provided by Twitch; the anticipation score is Aggrometer's own composite index (Steam wishlist rank + pre-release Twitch attention).
Documentation
Data reference, field definitions, and client configs: github.com/Aggrometer/aggrometer
Data provided AS-IS; estimates and derived metrics, not official platform numbers.