186 cited runs of 35,111 observed answer runs.
Machine Relations IndexCitation rate0.53% Days observed34/170 Engine breadth6 ConfidenceB
Source domain profile · Other observed source
Spheron.network in the Machine Relations Index
spheron.network appeared as a cited source in 186 of 35,111 monitored answer runs (0.53%) from 2026-05-10 to 2026-11-02.
Self-description
How the site describes itself
Rent NVIDIA H100, A100, B200 and AMD MI300X GPUs on-demand. No contracts, fast deployment from Tier 3/4 data centers. AI training LLM inference.
spheron.network describes itself this way in the description tag on its homepage, read on October 20, 2026. It is the source's own wording, quoted as found, not a finding of this Index.
Days cited and days observed in the current release window.
ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews, 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
- #66 of 35,509 observed domains
- Full universe
- #66 of 35,509
- Source role population
- #9 of 31,208
- Evidence-qualified source role
- #9 of 670
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 |
|---|---|---|---|---|---|---|---|---|
| AI Infrastructure | Best tools | Published | 27 | 251 | 13 | 10.76% | #7 of 364 | Badge |
| AI Infrastructure | How buyers choose | Published | 27 | 270 | 13 | 10.00% | #7 of 416 | Badge |
| AI Infrastructure | Is it worth it | Published | 19 | 269 | 13 | 7.06% | #14 of 404 | Badge |
| AI Infrastructure | Problem-first research | Published | 1 | 269 | 13 | 0.37% | #415 of 459 | Badge |
| AI Infrastructure | Top lists | Published | 81 | 272 | 13 | 29.78% | #1 of 440 | Badge |
| AI Infrastructure | Comparisons | Published | 11 | 270 | 13 | 4.07% | #27 of 360 | Badge |
| AI Security & Privacy | Best tools | Published | 5 | 298 | 13 | 1.68% | #109 of 448 | Badge |
| Deep Tech & Hardware | Best tools | Published | 3 | 250 | 12 | 1.20% | #173 of 527 | Badge |
| Legacy News Topics | News-driven citations | Published | 12 | 2,066 | 54 | 0.58% | #294 of 4,017 | Badge |
Published segments: 9. Collecting segments: 0.
Citation history
Cited runs month by month
spheron.network was first cited in a monitored answer run on May 11, 2026, and most recently on November 1, 2026, with cited runs in 7 of the 7 months from then to this release. The release window opens 2026-05-10, so an earlier citation would not show here.
A month's rate is the share of all monitored answer runs that month that cited this domain. The latest month is still collecting.
| Month | Cited runs | Observed runs | Rate |
|---|---|---|---|
| May 2026 | 7 | 3,303 | 0.21% |
| June 2026 | 5 | 1,954 | 0.26% |
| July 2026 | 87 | 4,697 | 1.85% |
| August 2026 | 1 | 3,062 | 0.03% |
| September 2026 | 18 | 4,971 | 0.36% |
| October 2026 | 61 | 16,496 | 0.37% |
| November 2026 (to 2026-11-02) | 7 | 628 | 1.11% |
By answer engine
Which engines cite Spheron.network
An engine's rate is its cited runs over every monitored run that engine answered in the window. Engines answer different numbers of runs, so compare rates, not counts.
| Engine | Cited runs | Engine’s observed runs | Rate |
|---|---|---|---|
| Claude | 67 | 8,285 | 0.81% |
| Perplexity | 60 | 8,365 | 0.72% |
| Gemini | 39 | 6,883 | 0.57% |
| Google AI Mode | 8 | 2,064 | 0.39% |
| Google AI Overviews | 7 | 1,267 | 0.55% |
| ChatGPT | 5 | 8,247 | 0.06% |
Peers
Nearest sources on AI Infrastructure / Top lists
Spheron.network holds its best segment rank, #1 of 440, in AI Infrastructure / Top lists, at 29.78%. Listed here: the nearest sources cited more and less often than it. Full leaderboard.
| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---|---|
| #2 of 440 | Nvidia.com | Vendor-owned source | 15.44% | -14.34 pts |
| #3 of 440 | Signoz.io | Other observed source | 13.24% | -16.54 pts |
| #4 of 440 | Cloudzero.com | Other observed source | 11.76% | -18.02 pts |
| #5 of 440 | Introl.com | Other observed source | 11.76% | -18.02 pts |
| #6 of 440 | Nebius.com | Other observed source | 11.76% | -18.02 pts |
| #7 of 440 | Community and social platform | 11.76% | -18.02 pts |
Cite this
Citation
Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Spheron.network (spheron.network), 0.53% citation rate, 186 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/spheron.network. CC BY 4.0.APA
Parrott, J. (2026). Spheron.network (spheron.network) in the Machine Relations Index (Version mri_score_v2.1+2026-11-02+f9aaeca0db15) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/spheron.network https://doi.org/10.5281/zenodo.23652423BibTeX
@misc{parrott2026mrispheronnetwork,
author = {Parrott, Jaxon},
title = {Spheron.network (spheron.network) 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/spheron.network},
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/spheron.network"><img src="https://machinerelations.ai/index/domains/spheron.network/badge.svg" alt="Spheron.network in the Machine Relations Index: 0.53% cited in monitored answer runs, #66 of 35,509 observed domains. Machine Relations Research." width="454" height="64"></a>Markdown
[](https://machinerelations.ai/index/domains/spheron.network)