Research a market
What shipped into the genre, at what price, how each one landed, and where demand is still moving.
Marketing agents for game teams
Publishers, studios and independent developers use it to research markets, plan marketing and launches, benchmark performance, and decide what to build, fund, publish or promote.

Check a launch window, a price or a campaign against games that already tried it, before the money is spent.
Free to start: sign in with Google, GitHub or LinkedIn.


Tools grouped by the job they do.
Previews show Steam data as of Nov 3, 2026

Any Steam game: estimated copies and revenue, reviews, players, playtime, countries, chart ranks, curators and press, store-page changes.
Search released and announced games by tags, release date, reviews, price, publisher and followers.
Every studio and publisher with its games one after another, what it is working on and how it launches: demos, fests, timing.
Top Sellers, worldwidevs. a day ago
The Steam Top Sellers chart worldwide and in 19 countries, with each game’s move.
Games climbing in wishlists this week, and the best-sellers of each month.
Next Fest, sales and themed fests with their deadlines and lineups; during Next Fest, demos ranked by how many people play them.
Steam releases per week
Aug 3Nov 2 · week in progress
What is coming out week by week, and how crowded each week is for your genre.
Candidate launch weeks compared by competing releases and how the genre sells across the year.
What demos, fests, trailers and discounts did to the games that ran them.
Roguelike Deckbuilder
20192026
Build a niche from tags: the chance of a hit, the risk of going unnoticed, what a typical paid game earns and how many releases arrive. Where to pivot and the tags of hits come with Pro.
Every Steam tag in groups, with the number of games for any period.
How genres and tags grow or shrink over the years.
Open for pitches
Publishers by genre, size, activity and whether they take submissions, and which of them fit your game.
A board for the publishers you are talking to, with notes and stages.
DressmakerOct 4 – Nov 2
Add your game by its Steam link or describe it, and the tools open set up for it.
Your game and its competitors on one board: players, reviews, followers, wishlist rank, price and the latest changes.
Telegram messages about watchlist events and wishlist risers, by rules you set.
The PlayRecon MCP server gives an AI assistant the same data as the site. Ask in plain words, and the assistant picks the tools, checks the cost and answers with dates.
Try asking“Which week in March 2027 is a good time to launch a roguelike deckbuilder on Steam?”
For a question that needs more than one tool, the research agent plans the work, collects and checks the data and returns a case: the answer, the comparable games, the timeline, the sources and dates. A second agent reviews the method before the case reaches you.
What shipped into the genre, at what price, how each one landed, and where demand is still moving.
A peer set with a stated reason for every game kept and every game dropped.
A dated plan: beats, windows, price, the shelves and festivals worth chasing, each drawn from games that already ran that play.
A timeline of what happened and what moved with it, with the obvious explanation tested against the others that also fit.
Question
“What did this launch do that the games standing next to it on the same shelf did not?”
What came back
The shelf did not decide it. What separates this launch is a year of demo campaign, a $9.99 price with a launch discount, and tag pages that moved before the charts did.
Evidence, as returned
The same call from the research agent, shown twice: on its own, and with the record behind it.
Peak players after release
observed Steam news, store page changes and concurrent players
“Launch at $9.99 and lean on a Next Fest demo.”
No comparable games, no timeline, no source, no date. Nothing in it can be checked.
observed Bigger dot, more players at peak. A higher shelf place did not mean a higher chart place.
“What the record supports: a $9.99 price with a small launch discount, and the demo as the spine of the campaign rather than a Next Fest checkbox. It does not prove either one caused the result.”
Observed, estimated and inference are labelled separately across PlayRecon, and they never get printed as each other. A price on a day in a region is observed. Copies sold are an estimate with a range. Why a game climbed is an argument, and it arrives with the competing readings still attached.
Every tool, the assistant connection and the research agent read one record of the Steam market, updated every day.
Price history can be pieced together after the fact. Most of the rest cannot: what the page said, which shelf it sat on that morning, where it ranked in Brazil. Storefronts keep almost none of that, so it exists only because it was recorded on the day.
On the other stores we record charts, prices and ratings. The tools are built for Steam; for the other stores, a game page shows where else the game is sold.
Three kinds of team, different jobs, one record underneath.
Scouting, screening and watching a slate of games.
What they use it for
A question it answers
“Which demos in this genre gained the most players during Next Fest, and who publishes the games most like them?”
Where to look
Next Fest live for the ranking, the game pages for each demo, and Studios & publishers for who signs that kind of game.
Most tools open without an account. A free account adds a bigger watchlist, alerts, the publisher tools and 1,000 compute units a month for AI assistants. Paid plans raise the limits and add the deeper niche analysis.
The research agent is in private beta: we open it to a few teams at a time. Request access with a real question, such as the launch window you cannot settle or the genre you suspect is already crowded.
Questions? Write to hello@playrecon.com.