#sparql

Live, measured metrics for the hashtag #sparql from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #sparql

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.

$520.70/ year · 6-character #name
Claim #sparql — $520.70/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
5
Uses / 7 days
Mastodon
5
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
2.1
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-09-28 22:47 UTC
1
09-22
0
09-23
1
09-24
0
09-25
0
09-26
1
09-27
2
09-28

5 uses by 5 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.social (Mastodon public search API) · fetched 2026-09-28 22:47 UTC

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-09-28 22:47 UTC

Everything below is measured over the latest 40 public posts (spanning ~2733 hours).

Posting hours (UTC) — busiest: 13:00

00:0012:0023:00

Languages: English (23) · German (8) · Spanish (4) · Dutch (3) · French (2)

Avg boosts / post: 1.7

Top of the latest posts

  • Die Geokoordinaten der #Berlin|er Befestigungsmauern, die das Landesdenkmalamt veröffentlicht hat (cf. https://openbiblio.social/@awinkler/116772458496923585), lassen sich mit etwas Frickelei auch in #SPARQL nachnutzen. Hier ein SPARQL-Quer

    Alexander Winkler@[email protected]♥ 8↻ 42026-06-19 09:37 UTCView post →
  • SPARQL query to find mascots of programming languages on Wikidata: https://w.wiki/TfXL Zig seems overrepresented 😁 #SPARQL #Wikidata #Zig #Programming

    David Pape@[email protected]♥ 7↻ 62026-08-20 18:41 UTCView post →
  • this is amazing https://github.com/andjar/wikitiddler extracts data from multiple sources ( #Wikidata #SPARQL, JSON endpoints, RSS feeds ), converts the results to TiddlyWiki tiddlers with Python, builds a single-file #TiddlyWiki with Node.

    gavcloud@[email protected]♥ 7↻ 52026-07-07 23:06 UTCView post →

What “sparql” means

Wikipedia

SPARQL is an RDF query language—that is, a semantic query language for databases—able to retrieve and manipulate data stored in Resource Description Framework (RDF) format. It was made a standard by the RDF Data Access Working Group (DAWG) of the World Wide Web Consortium, and is recognized as one of the key technologies of the semantic web. On 15 January 2008, SPARQL 1.0 was acknowledged by W3C as an official recommendation, and SPARQL 1.1 in March, 2013.

“SPARQL” on Wikipedia (CC BY-SA) →

#sparql across platforms

every network with a public tag surface

Follow #sparql 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/sparql