1 item
Collect the trade posts you can already see in Discord into a local index, then export them to objekt.my/match. Objekt Match finds who has your missing Cosmo objekts in your Discord trade channels. How it works 1. Open Discord in your browser (not the desktop app) and go to your trade channel. 2. Click the Objekt Match button in your toolbar. A panel opens on top of Discord. 3. Type the objekts you're looking for, like "seoyeon cc101 102" or "yy cc101-108". Or press "Find on Discord" on your objekt.my grid to send your missing objekts straight over. 4. Press Search. Objekt Match searches Discord for each code and collects the trade posts it finds. 5. Press "Open in match". objekt.my/match shows who has what you're missing and who wants what you have, with a button to jump to each post in Discord. Posts you scroll past are collected too. Add your Cosmo nickname in Settings, and posts that want something you own get a badge right in Discord. Good to know • Search types your codes into Discord's search box for you. That's automation, which Discord's terms don't allow, so Objekt Match asks you once before your first search. • Nothing is read until you agree to it. What it collects stays in your browser and is only sent to objekt.my/match when you press "Open in match". Card pictures and your inventory come from objekt.my. No account, no analytics. • Direct messages are never read. Pause any channel with one click. • Works on discord.com, canary and ptb. Move, resize or pop the panel out into its own window. • Download everything you've collected as text or JSON from Settings. Not affiliated with Discord or Modhaus/Cosmo.
Oct 9, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.