#zscore
Live, measured metrics for the hashtag #zscore from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #zscore
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 · mastodon.online (Mastodon public tags API) · fetched 2026-09-28 16:10 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-09-28 16:10 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-09-28 16:10 UTCEverything below is measured over the latest 5 public posts (spanning ~21751 hours).
Posting hours (UTC)
Languages: Russian (3) · Chinese (1) · English (1)
Avg boosts / post: 0.2
Top of the latest posts
Торговля на отклонениях: почему мы вернулись к тесту Дики-Фуллера (ADF) Как бы мы ни пытались отказаться от этого инструмента в поисках более изящных алгоритмических решений, каждый раз мы к нему возвращаемся. В прошлой статье про Гамма-фли
Как обнаружить заказной негатив с помощью скриптов По данным Data Insight 30% отказов от покупок связано с заказным негативом. Раньше ботов вычисляли по шаблонным фразам, но сейчас спамеры массово генерируют жалобы через LLM. Модерация геос
用 z-score 抓出異常的量 累積的有點久的一篇文章 (2020 年)，本來以為寫過，結果沒找到... 裡面在講 Standard score (z-score) 這個很簡單的概念：「Simple Anomaly Detection Using Plain SQL」。這個方式不能抓到所有的異常，但夠大的異常基本上可以抓到，誤判率應該在可以接受的範圍。 給你一段 time series 資料，像是一分鐘一個 req/sec 的數字，一段時間後就會有很多筆，然後我們要判斷這些
What “zscore” means
WikipediaIn statistics, the standard score or z-score is the number of standard deviations by which the value of a raw score is above or below the mean value of what is being observed or measured. Raw scores above the mean have positive standard scores, while those below the mean have negative standard scores.
“Standard score” on Wikipedia (CC BY-SA) →#zscore across platforms
every network with a public tag surfaceFollow #zscore straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
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/zscore