---
title: "edda.co in the Machine Relations Index"
description: "Canonical domain: edda.co"
canonical: "https://machinerelations.ai/index/domains/edda.co"
---

# edda.co in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/edda.co
Canonical domain: edda.co
Source role: Other observed source
Release mri_score_v2.1+2026-11-07+296ae2caa083; methodology mri_score_v2.1; generated 2026-11-07; window 2026-05-10 to 2026-11-07; artifact 51fa53f555d2.

edda.co appeared as a cited source in 1 of 37,140 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-07.

## Overall Evidence

- Citation rate: under 0.01%
- Cited runs: 1 of 37,140
- Days cited: 1 of 175
- Engine breadth: 1 observed engine (gemini)
- 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 |
|---|---|---|---:|---:|---:|---:|---|
| [VC & Private Equity](https://machinerelations.ai/index/categories/vc-private-equity) | [Top lists](https://machinerelations.ai/index/categories/vc-private-equity/top_list) | collecting | 1 | 83 | 6 | — | Collecting observations; no mature rank |

## Citation Record

edda.co has been cited in one monitored answer run, on November 3, 2026, by Gemini, in answers to VC & Private Equity / Top lists questions. Other sources cited for VC & Private Equity questions: https://machinerelations.ai/index/categories/vc-private-equity

## Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. edda.co, under 0.01% citation rate, 1 of 37,140 monitored answer runs, 2026-05-10 to 2026-11-07. Release mri_score_v2.1+2026-11-07+296ae2caa083. https://machinerelations.ai/index/domains/edda.co. CC BY 4.0.

APA

Parrott, J. (2026). edda.co in the Machine Relations Index (Version mri_score_v2.1+2026-11-07+296ae2caa083) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/edda.co https://doi.org/10.5281/zenodo.23652423

BibTeX

```bibtex
@misc{parrott2026mrieddaco,
  author = {Parrott, Jaxon},
  title = {edda.co in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-07+296ae2caa083},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/edda.co},
  doi = {10.5281/zenodo.23652423},
  license = {CC-BY-4.0},
  note = {Machine Relations Index (MRI), 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/edda.co/badge.svg

[![edda.co in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 37,140 runs), Nov 7, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/edda.co/badge.svg)](https://machinerelations.ai/index/domains/edda.co)

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)