# Africareportersnetwork.com in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/africareportersnetwork.com
Canonical domain: africareportersnetwork.com
Source role: Other observed source
Release mri_score_v2.1+2026-10-26+ff67a630fa8e; methodology mri_score_v2.1; generated 2026-10-26; window 2026-05-10 to 2026-10-26; artifact b37ddb40c879.

africareportersnetwork.com appeared as a cited source in 1 of 31,659 monitored answer runs (0.00%) from 2026-05-10 to 2026-10-26.

## Overall Evidence

- Citation rate: 0.00%
- Cited runs: 1 of 31,659
- Days cited: 1 of 163
- Engine breadth: 1 observed engines (chatgpt)
- Confidence: Collecting
- Standing: collecting · 0.00% across 1/31,659 observed runs

## Observed Segments

| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Standing |
|---|---|---|---:|---:|---:|---:|---|
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Top lists](https://machinerelations.ai/index/categories/fintech/top_list) | published | 1 | 211 | 11 | 0.47% | #174 of 289 |

## Citation Record

africareportersnetwork.com has been cited in one monitored answer run, on October 9, 2026, by ChatGPT, in answers to Fintech / Top lists questions. Other sources cited for Fintech questions: https://machinerelations.ai/index/categories/fintech

## Peers

Africareportersnetwork.com holds its best segment rank, #174 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. Leaderboard: https://machinerelations.ai/index/categories/fintech/top_list

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #119 of 289 | [About-fraud.com](https://machinerelations.ai/index/domains/about-fraud.com) | Other observed source | 0.95% | +0.48 pts |
| #120 of 289 | [Aciworldwide.com](https://machinerelations.ai/index/domains/aciworldwide.com) | Other observed source | 0.95% | +0.48 pts |
| #121 of 289 | [Aiagentstore.ai](https://machinerelations.ai/index/domains/aiagentstore.ai) | Other observed source | 0.95% | +0.48 pts |
| #122 of 289 | [Aicardapi.com](https://machinerelations.ai/index/domains/aicardapi.com) | Other observed source | 0.95% | +0.48 pts |
| #123 of 289 | [Amlregulatory.org](https://machinerelations.ai/index/domains/amlregulatory.org) | Other observed source | 0.95% | +0.48 pts |
| #124 of 289 | [Amlvault.com.au](https://machinerelations.ai/index/domains/amlvault.com.au) | Other observed source | 0.95% | +0.48 pts |
| #173 of 289 | [Actico.com](https://machinerelations.ai/index/domains/actico.com) | Other observed source | 0.47% | Same rate |
| #175 of 289 | [Aicentralresources.com](https://machinerelations.ai/index/domains/aicentralresources.com) | Other observed source | 0.47% | Same rate |

## Citation

Machine Relations Index (MRI) by Jaxon Parrott, Machine Relations Research — machinerelations.ai. Africareportersnetwork.com (africareportersnetwork.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/africareportersnetwork.com. CC BY 4.0.

APA

Parrott, J. (2026). Africareportersnetwork.com (africareportersnetwork.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/africareportersnetwork.com https://doi.org/10.5281/zenodo.23652423

BibTeX

```bibtex
@misc{parrott2026mriafricareportersnetworkcom,
  author = {Parrott, Jaxon},
  title = {Africareportersnetwork.com (africareportersnetwork.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/africareportersnetwork.com},
  doi = {10.5281/zenodo.23652423},
  license = {CC-BY-4.0},
  note = {Machine Relations Index (MRI) by Jaxon Parrott, Machine Relations Research — 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/africareportersnetwork.com/badge.svg

[![Machine Relations Index (MRI) by Jaxon Parrott, Machine Relations Research — machinerelations.ai. Africareportersnetwork.com (africareportersnetwork.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/africareportersnetwork.com. CC BY 4.0.](https://machinerelations.ai/index/domains/africareportersnetwork.com/badge.svg)](https://machinerelations.ai/index/domains/africareportersnetwork.com)

The badge is live: it shows the current release, so it changes when the release changes, and it returns 404 if this domain leaves the released population. The link goes to this profile and the alt text is the citation above.

## 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)