1 cited runs of 35,111 observed answer runs.
Source domain profile · Other observed source
Sttinfo.fi in the Machine Relations Index
sttinfo.fi appeared as a cited source in 1 of 35,111 monitored answer runs (0.00%) from 2026-05-10 to 2026-11-02.
Days cited and days observed in the current release window.
Perplexity. This is an observed-engine list, not a per-engine rate.
MRI confidence is not an Answer-Source Fidelity grade.
Standing
Population ranks from the public release
- Public standing
- collecting · 0.00% across 1/35,111 observed runs
- Full universe
- Producer rank unavailable
- Source role population
- Producer rank unavailable
- Evidence-qualified source role
- Producer rank unavailable
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 |
|---|---|---|---|---|---|---|---|---|
| Healthcare Services | Is it worth it | Published | 1 | 232 | 12 | 0.43% | #317 of 341 | Badge |
Published segments: 1. Collecting segments: 0.
Citation record
One cited run
sttinfo.fi has been cited in one monitored answer run, on October 3, 2026, by Perplexity, in answers to Healthcare Services / Is it worth it questions. Other sources cited for Healthcare Services questions are on the Healthcare Services sources page.
Peers
Nearest sources on Healthcare Services / Is it worth it
Sttinfo.fi holds its best segment rank, #317 of 341, in Healthcare Services / Is it worth it, at 0.43%. 134 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 |
|---|---|---|---|---|
| #192 of 341 | Sermo.com | Community and social platform | 0.86% | +0.43 pts |
| #193 of 341 | Staffingly.com | Other observed source | 0.86% | +0.43 pts |
| #194 of 341 | Swiftcarebilling.com | Other observed source | 0.86% | +0.43 pts |
| #195 of 341 | Tech-ish.com | Editorial publication | 0.86% | +0.43 pts |
| #196 of 341 | Tech Times | Editorial publication | 0.86% | +0.43 pts |
| #197 of 341 | Telehealth.org | Editorial publication | 0.86% | +0.43 pts |
| #316 of 341 | Stanga.net | Other observed source | 0.43% | Same rate |
| #318 of 341 | Studentdoctor.net | Other observed source | 0.43% | Same rate |
Cite this
Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Sttinfo.fi (sttinfo.fi), 0.00% citation rate, 1 of 35,111 monitored answer runs, 2026-05-10 to 2026-11-02. Release mri_score_v2.1+2026-11-02+f9aaeca0db15. https://machinerelations.ai/index/domains/sttinfo.fi. CC BY 4.0.Parrott, J. (2026). Sttinfo.fi (sttinfo.fi) in the Machine Relations Index (Version mri_score_v2.1+2026-11-02+f9aaeca0db15) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/sttinfo.fi https://doi.org/10.5281/zenodo.23652423@misc{parrott2026mristtinfofi,
author = {Parrott, Jaxon},
title = {Sttinfo.fi (sttinfo.fi) in the Machine Relations Index},
year = {2026},
version = {mri\_score\_v2.1+2026-11-02+f9aaeca0db15},
publisher = {Machine Relations Research},
url = {https://machinerelations.ai/index/domains/sttinfo.fi},
doi = {10.5281/zenodo.23652423},
license = {CC-BY-4.0},
note = {Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai}
}Release and boundary
What this profile measures
Published November 2, 2026. The observation window runs May 10, 2026 to November 2, 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.htmlimport 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
The link goes to this profile, the alt text says what the badge shows, and the badge is live: it always shows the current release, so it changes when the release changes and returns 404 if this domain leaves the released population. The embedder decides the link’s rel attribute. To keep a fixed image, download the SVG.
HTML
<a href="https://machinerelations.ai/index/domains/sttinfo.fi"><img src="https://machinerelations.ai/index/domains/sttinfo.fi/badge.svg" alt="Sttinfo.fi in the Machine Relations Index: 0.00% cited in monitored answer runs, 1 of 35,111 runs · Collecting. Machine Relations Research." width="405" height="64"></a>Markdown
[](https://machinerelations.ai/index/domains/sttinfo.fi)