1 cited runs of 31,659 observed answer runs.
Source domain profile · Other observed source
10decoders.com in the Machine Relations Index
10decoders.com appeared as a cited source in 1 of 31,659 monitored answer runs (0.00%) from 2026-05-10 to 2026-10-26.
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 1/31,659 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 the exact category/question-shape denominator. Collecting rows show sample progress only; null or missing rates are not rendered as 0%.
| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Rank population | Badge |
|---|---|---|---|---|---|---|---|---|
| Fintech | Top lists | Published | 1 | 211 | 11 | 0.47% | #170 of 289 | Badge |
Published segments: 1. Collecting segments: 0.
Citation record
One cited run
10decoders.com has been cited in one monitored answer run, on October 23, 2026, by Perplexity, in answers to Fintech / Top lists questions. Other sources cited for Fintech questions are on the Fintech sources page.
Peers
Nearest sources on Fintech / Top lists
10decoders.com holds its best segment rank, #170 of 289, in Fintech / Top lists, at 0.47%. 120 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 |
|---|---|---|---|---|
| #119 of 289 | About-fraud.com | Other observed source | 0.95% | +0.48 pts |
| #120 of 289 | Aciworldwide.com | Other observed source | 0.95% | +0.48 pts |
| #121 of 289 | Aiagentstore.ai | Other observed source | 0.95% | +0.48 pts |
| #122 of 289 | Aicardapi.com | Other observed source | 0.95% | +0.48 pts |
| #123 of 289 | Amlregulatory.org | Other observed source | 0.95% | +0.48 pts |
| #124 of 289 | Amlvault.com.au | Other observed source | 0.95% | +0.48 pts |
| #169 of 289 | Web3connect.com | Other observed source | 0.95% | +0.48 pts |
| #171 of 289 | 4tress.ai | Other observed source | 0.47% | Same rate |
Cite this
Machine Relations Index (MRI) by Jaxon Parrott, Machine Relations Research — machinerelations.ai. 10decoders.com (10decoders.com), 0.00% citation rate, 1 of 31,659 monitored answer runs, 2026-05-10 to 2026-10-26. Release mri_score_v2.1+2026-10-26+ff67a630fa8e. https://machinerelations.ai/index/domains/10decoders.com. CC BY 4.0.Parrott, J. (2026). 10decoders.com (10decoders.com) in the Machine Relations Index (Version mri_score_v2.1+2026-10-26+ff67a630fa8e) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/10decoders.com https://doi.org/10.5281/zenodo.23652423@misc{parrott2026mri10decoderscom,
author = {Parrott, Jaxon},
title = {10decoders.com (10decoders.com) in the Machine Relations Index},
year = {2026},
version = {mri\_score\_v2.1+2026-10-26+ff67a630fa8e},
publisher = {Machine Relations Research},
url = {https://machinerelations.ai/index/domains/10decoders.com},
doi = {10.5281/zenodo.23652423},
license = {CC-BY-4.0},
note = {Machine Relations Index (MRI) by Jaxon Parrott, Machine Relations Research — machinerelations.ai}
}Release and boundary
What this profile measures
Published October 26, 2026. The observation window runs May 10, 2026 to October 26, 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 is the citation above, 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/10decoders.com"><img src="https://machinerelations.ai/index/domains/10decoders.com/badge.svg" alt="Machine Relations Index (MRI) by Jaxon Parrott, Machine Relations Research — machinerelations.ai. 10decoders.com (10decoders.com), 0.00% citation rate, 1 of 31,659 monitored answer runs, 2026-05-10 to 2026-10-26. Release mri_score_v2.1+2026-10-26+ff67a630fa8e. https://machinerelations.ai/index/domains/10decoders.com. CC BY 4.0." width="519" height="64"></a>Markdown
[](https://machinerelations.ai/index/domains/10decoders.com)