#scambot
Live, measured metrics for the hashtag #scambot from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #scambot
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 03:01 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-28 03:01 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 03:01 UTCEverything below is measured over the latest 4 public posts (spanning ~1549 hours).
Posting hours (UTC)
Languages: Polish (2) · English (2)
Avg boosts / post: 0
Top of the latest posts
Możemy wiele złego mówić o FB, ale musimy przyznać, że to on nauczył nas jak rozpoznać typowy scam od bota 💁♀️ Tylko w tym FB był pomocny #Facebook #Scambot #Meta #Markzuckemberg
Kocham scam boty #Mastodon #Bot #Scambot
@Gargron so if they posted like 20 messages with the same message should I select all or just like 2 and then report? For me I think that selecting just 2 which look alike would be more practical. Does Mastodon have like any "best practice"
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/scambot