Source domain profile · Editorial publication

agbrief.com in the Machine Relations Index

agbrief.com appeared as a cited source in 1 of 39,509 monitored answer runs (under 0.01%) from May 10, 2026 to November 14, 2026.

Source site Markdown Public JSON

Self-description

How the site describes itself

Asia Gaming News by AGB | Asia Gaming Brief brings you every day the latest and breaking casino news in Macau and in the growing Asian gaming industry.

agbrief.com describes itself this way in the description tag on its homepage, read on November 14, 2026. It is the source's own wording, quoted as found, not a finding of this Index.

Citation rateunder 0.01%

1 cited run of 39,509 observed answer runs.

Days cited1/182

Days with a citation, of the days observed in the current release window.

Engine breadth1

Claude. This is an observed-engine list, not a per-engine rate.

ConfidenceCollecting

MRI confidence is not an Answer-Source Fidelity grade.

Standing

Population ranks from the public release

Public standing: Collecting: no rank until it clears the evidence floor
Full universe: Not ranked in this release
Source role population: Not ranked in this release
Evidence-qualified source role: Not ranked in this release

Segment evidence

Observed category and question-shape rows

Segment rates use that category and question shape only. A row still collecting shows how many runs have been measured. A dash means no measured runs yet.

Category	Question shape	State	Cited runs	Observed runs	Run dates	Rate	Rank population	Badge
iGaming & Betting	Is it worth it	Published	1	220	12	0.45%	#154 of 249	Badge

Published segments: 1. Collecting segments: 0.

Citation record

One cited run

agbrief.com has been cited in one monitored answer run, on September 29, 2026, by Claude, in answers to iGaming & Betting / Is it worth it questions. Other sources cited for iGaming & Betting questions are on the iGaming & Betting sources page.

Peers

Nearest sources on iGaming & Betting / Is it worth it

agbrief.com holds its best segment rank, #154 of 249, in iGaming & Betting / Is it worth it, at 0.45%. 99 sources on that leaderboard share that rate, and their order inside the tie is not a measured difference. Listed here: the nearest sources cited more and less often than it, and the sources beside it that share this best segment. Full leaderboard.

Rank	Source	Source role	Segment citation rate	Against this source
#99 of 249	advisorlogistics.com	Other observed source	0.91%	+0.46 pts
#100 of 249	affpapa.com	Other observed source	0.91%	+0.46 pts
#101 of 249	altenar.com	Other observed source	0.91%	+0.46 pts
#102 of 249	arxiv.org	Academic and government source	0.91%	+0.46 pts
#103 of 249	betacr.eu	Other observed source	0.91%	+0.46 pts
#104 of 249	betgo.digital	Other observed source	0.91%	+0.46 pts
#153 of 249	adpushup.com	Other observed source	0.45%	Same rate
#155 of 249	ambrain.org	Other observed source	0.45%	Same rate

Cite this

Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. agbrief.com, under 0.01% citation rate, 1 of 39,509 monitored answer runs, 2026-05-10 to 2026-11-14. Release mri_score_v2.1+2026-11-14+a5e5e37df8da. CC BY 4.0. https://machinerelations.ai/index/domains/agbrief.com

APA

Parrott, J. (2026). agbrief.com in the Machine Relations Index (Version mri_score_v2.1+2026-11-14+a5e5e37df8da) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/agbrief.com https://doi.org/10.5281/zenodo.23652423

BibTeX

@misc{parrott2026mriagbriefcom,
  author = {Parrott, Jaxon},
  title = {agbrief.com in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-14+a5e5e37df8da},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/agbrief.com},
  doi = {10.5281/zenodo.23652423},
  license = {CC-BY-4.0},
  note = {Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai}
}

CITATION.cff

Release and boundary

What this profile measures

Published November 14, 2026. The observation window runs May 10, 2026 to November 14, 2026. Methodology v2.1.

Use the data

curl -fsSL "https://machinerelations.ai/data/machine-relations-index.json" -o machine-relations-index.json
curl -fsSL "https://machinerelations.ai/data/mri-release-manifest.json" -o mri-release-manifest.json
curl -fsSL "https://huggingface.co/datasets/machine-relations/machine-relations-index/resolve/main/domains.csv" -o domains.csv
curl -fsSL -L "https://doi.org/10.5281/zenodo.23652423" -o mri-zenodo.html

import json
from urllib.request import urlopen

index_url = "https://machinerelations.ai/data/machine-relations-index.json"
with urlopen(index_url) as response:
    index = json.load(response)
print(index["generated"], index["total_domains"])

The public dataset reports citation rates, rankings, and evidence counts. It excludes internal query identifiers, raw cited URLs, and answer-engine provider payloads. MRI measures observed root-domain citations in monitored prompts, not all AI answers, recommendation quality, web traffic or commercial performance. A citation is not source support.

Embed

Embed this profile’s badge

Put this badge on your site to show how often AI answers cite it. It links to this profile and updates with every new release; if a later release no longer includes this domain, the badge stops loading. To keep today’s numbers fixed, save the SVG and host it yourself.

HTML

<a href="https://machinerelations.ai/index/domains/agbrief.com"><img src="https://machinerelations.ai/index/domains/agbrief.com/badge.svg" alt="agbrief.com in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 39,509 runs), Nov 14, 2026 release. Machine Relations Research." width="385" height="64"></a>

Markdown

[![agbrief.com in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 39,509 runs), Nov 14, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/agbrief.com/badge.svg)](https://machinerelations.ai/index/domains/agbrief.com)