Source domain profile · Other observed source

kalendarius.com in the Machine Relations Index

kalendarius.com appeared as a cited source in 1 of 37,140 monitored answer runs (under 0.01%) from May 10, 2026 to November 7, 2026.

Source site Markdown Public JSON

Citation rateunder 0.01%

1 cited run of 37,140 observed answer runs.

Days cited1/175

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
HR & Talent	Problem-first research	Published	1	225	12	0.44%	#278 of 343	Badge

Published segments: 1. Collecting segments: 0.

Citation record

One cited run

kalendarius.com has been cited in one monitored answer run, on November 3, 2026, by Claude, in answers to HR & Talent / Problem-first research questions. Other sources cited for HR & Talent questions are on the HR & Talent sources page.

Peers

Nearest sources on HR & Talent / Problem-first research

kalendarius.com holds its best segment rank, #278 of 343, in HR & Talent / Problem-first research, at 0.44%. 150 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
#164 of 343	irisglobal.com	Other observed source	0.89%	+0.45 pts
#165 of 343	jobsbob.com	Other observed source	0.89%	+0.45 pts
#166 of 343	justinbradley.com	Other observed source	0.89%	+0.45 pts
#167 of 343	kassen.ca	Other observed source	0.89%	+0.45 pts
#168 of 343	keyhrinfo.com	Other observed source	0.89%	+0.45 pts
#169 of 343	launchdarkly.com	Other observed source	0.89%	+0.45 pts
#276 of 343	jobtrain.co.uk	Other observed source	0.44%	Same rate
#279 of 343	launchrock.com	Other observed source	0.44%	Same rate

Cite this

Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. kalendarius.com, under 0.01% citation rate, 1 of 37,140 monitored answer runs, 2026-05-10 to 2026-11-07. Release mri_score_v2.1+2026-11-07+296ae2caa083. https://machinerelations.ai/index/domains/kalendarius.com. CC BY 4.0.

APA

Parrott, J. (2026). kalendarius.com in the Machine Relations Index (Version mri_score_v2.1+2026-11-07+296ae2caa083) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/kalendarius.com https://doi.org/10.5281/zenodo.23652423

BibTeX

@misc{parrott2026mrikalendariuscom,
  author = {Parrott, Jaxon},
  title = {kalendarius.com in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-07+296ae2caa083},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/kalendarius.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 7, 2026. The observation window runs May 10, 2026 to November 7, 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/kalendarius.com"><img src="https://machinerelations.ai/index/domains/kalendarius.com/badge.svg" alt="kalendarius.com in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 37,140 runs), Nov 7, 2026 release. Machine Relations Research." width="385" height="64"></a>

Markdown

[![kalendarius.com in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 37,140 runs), Nov 7, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/kalendarius.com/badge.svg)](https://machinerelations.ai/index/domains/kalendarius.com)