---
title: "arcade.dev in the Machine Relations Index"
description: "arcade.dev appeared as a cited source in 1 of 39,509 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-14."
canonical: "https://machinerelations.ai/index/domains/arcade.dev"
---

# arcade.dev in the Machine Relations Index

arcade.dev appeared as a cited source in 1 of 39,509 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-14.

Canonical URL: https://machinerelations.ai/index/domains/arcade.dev
Canonical domain: arcade.dev
Source role: Other observed source
Release mri_score_v2.1+2026-11-14+a5e5e37df8da; methodology mri_score_v2.1; generated 2026-11-14; window 2026-05-10 to 2026-11-14; artifact 90bc78b19db1.

## Overall Evidence

- Citation rate: under 0.01%
- Cited runs: 1 of 39,509
- Days cited: 1 of 182
- Engine breadth: 1 observed engine (perplexity)
- 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 |
|---|---|---|---:|---:|---:|---:|---|
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Best tools](https://machinerelations.ai/index/categories/ai-security-privacy/best_x) | published | 1 | 321 | 14 | 0.31% | #283 of 473 |

## Citation Record

arcade.dev has been cited in one monitored answer run, on November 11, 2026, by Perplexity, in answers to AI Security & Privacy / Best tools questions. Other sources cited for AI Security & Privacy questions: https://machinerelations.ai/index/categories/ai-security-privacy

## Peers

arcade.dev holds its best segment rank, #283 of 473, in AI Security & Privacy / Best tools, at 0.31%. 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/ai-security-privacy/best_x

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #182 of 473 | [arthur.ai](https://machinerelations.ai/index/domains/arthur.ai) | Other observed source | 0.62% | +0.31 pts |
| #183 of 473 | [bendexgeometry.com](https://machinerelations.ai/index/domains/bendexgeometry.com) | Other observed source | 0.62% | +0.31 pts |
| #184 of 473 | [bifrost.ai](https://machinerelations.ai/index/domains/bifrost.ai) | Other observed source | 0.62% | +0.31 pts |
| #185 of 473 | [blackfog.com](https://machinerelations.ai/index/domains/blackfog.com) | Other observed source | 0.62% | +0.31 pts |
| #186 of 473 | [bubble.io](https://machinerelations.ai/index/domains/bubble.io) | Other observed source | 0.62% | +0.31 pts |
| #187 of 473 | [builderworld.io](https://machinerelations.ai/index/domains/builderworld.io) | Other observed source | 0.62% | +0.31 pts |
| #281 of 473 | [aptin.co](https://machinerelations.ai/index/domains/aptin.co) | Other observed source | 0.31% | Same rate |
| #286 of 473 | [axiomstudio.ai](https://machinerelations.ai/index/domains/axiomstudio.ai) | Other observed source | 0.31% | Same rate |

## Other Records

- [Arcade on Presspool](https://presspool.ai/companies/arcade-dev): Presspool keeps a company record for Arcade. Its record reads: “Arcade is an actions runtime that sits between enterprise AI agents and business systems to authorize, execute and govern every agent action.” Presspool is a related party to the publisher of this Index, and its record is not source evidence for this dataset.

## Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. arcade.dev, under 0.01% citation rate, 1 of 39,509 monitored answer runs, 2026-05-10 to 2026-11-14. Release mri_score_v2.1+2026-11-14+a5e5e37df8da. CC BY 4.0. https://machinerelations.ai/index/domains/arcade.dev

APA

Parrott, J. (2026). arcade.dev in the Machine Relations Index (Version mri_score_v2.1+2026-11-14+a5e5e37df8da) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/arcade.dev https://doi.org/10.5281/zenodo.23652423

BibTeX

```bibtex
@misc{parrott2026mriarcadedev,
  author = {Parrott, Jaxon},
  title = {arcade.dev in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-14+a5e5e37df8da},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/arcade.dev},
  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/arcade.dev/badge.svg

[![arcade.dev in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 39,509 runs), Nov 14, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/arcade.dev/badge.svg)](https://machinerelations.ai/index/domains/arcade.dev)

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)