---
title: "apexcore.site in the Machine Relations Index"
description: "apexcore.site appeared as a cited source in 1 of 39,811 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-15."
canonical: "https://machinerelations.ai/index/domains/apexcore.site"
---

# apexcore.site in the Machine Relations Index

apexcore.site appeared as a cited source in 1 of 39,811 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-15.

Canonical URL: https://machinerelations.ai/index/domains/apexcore.site
Canonical domain: apexcore.site
Source role: Editorial publication
Release mri_score_v2.1+2026-11-15+49589518c9ac; methodology mri_score_v2.1; generated 2026-11-15; window 2026-05-10 to 2026-11-15; artifact 2b087b5b13e5.

## How the Site Describes Itself

> Your source for business excellence excellence. ApexCore brings you expert guides, industry insights, and actionable advice.

apexcore.site describes itself this way in the description tag on its homepage, read on November 15, 2026. It is the source's own wording, quoted as found, not a finding of this Index.

## Overall Evidence

- Citation rate: under 0.01%
- Cited runs: 1 of 39,811
- Days cited: 1 of 183
- Engine breadth: 1 observed engine (claude)
- Confidence: Collecting
- Standing: Collecting: no rank until it clears the evidence floor

## Observed Segments

| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Standing |
|---|---|---|---:|---:|---:|---:|---|
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [Is it worth it](https://machinerelations.ai/index/categories/consumer-finance/is_x_worth) | published | 1 | 317 | 14 | 0.32% | #238 of 436 |

## Citation Record

apexcore.site has been cited in one monitored answer run, on October 27, 2026, by Claude, in answers to Consumer Finance / Is it worth it questions. Other sources cited for Consumer Finance questions: https://machinerelations.ai/index/categories/consumer-finance

## Peers

apexcore.site holds its best segment rank, #238 of 436, in Consumer Finance / Is it worth it, at 0.32%. 212 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. Leaderboard: https://machinerelations.ai/index/categories/consumer-finance/is_x_worth

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #156 of 436 | [airtasker.com](https://machinerelations.ai/index/domains/airtasker.com) | Other observed source | 0.63% | +0.31 pts |
| #157 of 436 | [aitooldiscovery.com](https://machinerelations.ai/index/domains/aitooldiscovery.com) | Other observed source | 0.63% | +0.31 pts |
| #158 of 436 | [albert.com](https://machinerelations.ai/index/domains/albert.com) | Other observed source | 0.63% | +0.31 pts |
| #159 of 436 | [associatedbank.com](https://machinerelations.ai/index/domains/associatedbank.com) | Other observed source | 0.63% | +0.31 pts |
| #160 of 436 | [bark.com](https://machinerelations.ai/index/domains/bark.com) | Other observed source | 0.63% | +0.31 pts |
| #161 of 436 | [bart.gov](https://machinerelations.ai/index/domains/bart.gov) | Academic and government source | 0.63% | +0.31 pts |
| #235 of 436 | [amanahfund.com](https://machinerelations.ai/index/domains/amanahfund.com) | Other observed source | 0.32% | Same rate |
| #239 of 436 | [apprift.io](https://machinerelations.ai/index/domains/apprift.io) | Other observed source | 0.32% | Same rate |

## Citation

Machine Relations Index, Jaxon Parrott — machinerelations.ai. apexcore.site, under 0.01% citation rate, 1 of 39,811 monitored answer runs, 2026-05-10 to 2026-11-15. Release mri_score_v2.1+2026-11-15+49589518c9ac. CC BY 4.0. https://machinerelations.ai/index/domains/apexcore.site

APA

Parrott, J. (2026). apexcore.site in the Machine Relations Index (Version mri_score_v2.1+2026-11-15+49589518c9ac) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/apexcore.site https://doi.org/10.5281/zenodo.23652423

BibTeX

```bibtex
@misc{parrott2026mriapexcoresite,
  author = {Parrott, Jaxon},
  title = {apexcore.site in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-15+49589518c9ac},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/apexcore.site},
  doi = {10.5281/zenodo.23652423},
  license = {CC-BY-4.0},
  note = {Machine Relations Index, Jaxon Parrott — machinerelations.ai}
}
```

DOI: https://doi.org/10.5281/zenodo.23652423

Citation file: https://machinerelations.ai/CITATION.cff

## Badge

Badge image: https://machinerelations.ai/index/domains/apexcore.site/badge.svg

[![apexcore.site in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 39,811 runs), Nov 15, 2026 release. Machine Relations Index, Jaxon Parrott — machinerelations.ai.](https://machinerelations.ai/index/domains/apexcore.site/badge.svg)](https://machinerelations.ai/index/domains/apexcore.site)

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.

## Use the data

The public JSON is https://machinerelations.ai/data/machine-relations-index.json. The release manifest is https://machinerelations.ai/data/mri-release-manifest.json. The domain CSV is https://huggingface.co/datasets/machine-relations/machine-relations-index/resolve/main/domains.csv. The Zenodo concept DOI is https://doi.org/10.5281/zenodo.23652423.

```bash
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
```

```python
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"])
```

## Public Boundary

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; it does not measure all AI answers, recommendation quality, website traffic, or commercial performance. A citation does not prove source support, and MRI confidence is not an Answer-Source Fidelity grade.

## Related Sources

- [Machine Relations Index](https://machinerelations.ai/index)
- [Public JSON artifact](https://machinerelations.ai/data/machine-relations-index.json)
- [Release manifest](https://machinerelations.ai/data/mri-release-manifest.json)
- [apexcore.site on AuthorityTech's publication intelligence](https://authoritytech.io/publications/apexcore) — part of the AuthorityTech publication intelligence projection. Practitioner projection derived from the neutral Machine Relations Index. It is not source evidence, citation provenance, or sameAs identity for the neutral dataset.
- [AuthorityTech publication intelligence projection](https://authoritytech.io/publications.md) — Practitioner projection derived from the neutral Machine Relations Index. It is not source evidence, citation provenance, or sameAs identity for the neutral dataset.