---
title: "arcjet.com in the Machine Relations Index"
description: "arcjet.com appeared as a cited source in 2 of 39,509 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-14."
canonical: "https://machinerelations.ai/index/domains/arcjet.com"
---

# arcjet.com in the Machine Relations Index

arcjet.com appeared as a cited source in 2 of 39,509 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-14.

Canonical URL: https://machinerelations.ai/index/domains/arcjet.com
Canonical domain: arcjet.com
Source role: Vendor-owned 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.

## How the Site Describes Itself

> Arcjet is the AI agent runtime security platform. Discover the agents running in your organization, enforce policy across every action, prompt, and tool call, and keep the evidence to prove what happened. Detect prompt injection, authorize agent tool calls, redact PII, and block…

arcjet.com describes itself this way in the description tag on its homepage, read on November 11, 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: 2 of 39,509
- Days cited: 2 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% | #284 of 473 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Is it worth it](https://machinerelations.ai/index/categories/ai-security-privacy/is_x_worth) | published | 1 | 316 | 14 | 0.32% | #271 of 550 |

## Citation History

arcjet.com was first cited in a monitored answer run on October 25, 2026, and most recently on November 11, 2026, with cited runs in each of the 2 months from then to this release. The release window opens 2026-05-10, so an earlier citation would not show here.

A month's rate is the share of all monitored answer runs that month that cited this domain. The latest month is still collecting.

| Month | Cited runs | Observed runs | Rate |
|---|---:|---:|---:|
| October 2026 | 1 | 16,496 | 0.01% |
| November 2026 (to 2026-11-14) | 1 | 5,026 | 0.02% |

## By Answer Engine

An engine's rate is its cited runs over every monitored run that engine answered in the window. Engines answer different numbers of runs, so compare rates, not counts.

| Engine | Cited runs | Engine's observed runs | Rate |
|---|---:|---:|---:|
| [Perplexity](https://machinerelations.ai/index/engines/perplexity) | 2 | 9,530 | 0.02% |
| [ChatGPT](https://machinerelations.ai/index/engines/chatgpt) | 0 | 9,410 | 0.00% |
| [Claude](https://machinerelations.ai/index/engines/claude) | 0 | 9,359 | 0.00% |
| [Gemini](https://machinerelations.ai/index/engines/gemini) | 0 | 7,598 | 0.00% |
| [Google AI Mode](https://machinerelations.ai/index/engines/google_ai_mode) | 0 | 2,237 | 0.00% |
| [Google AI Overviews](https://machinerelations.ai/index/engines/google_ai_overviews) | 0 | 1,375 | 0.00% |

Since August 31, 2026, arcjet.com is cited in none of 1,031 observed Google AI Mode runs. Google AI Mode's collection changed between August 10, 2026 and August 30, 2026, so its row above pools both sides of the change.

Since October 7, 2026, arcjet.com is cited in 2 of 4,761 observed Perplexity runs (0.04%). Perplexity's collection changed between October 6, 2026 and October 7, 2026, so its row above pools both sides of the change.

## Peers

arcjet.com holds its best segment rank, #271 of 550, in AI Security & Privacy / Is it worth it, at 0.32%. 300 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/is_x_worth

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #161 of 550 | [aigovernancetoolkit.com](https://machinerelations.ai/index/domains/aigovernancetoolkit.com) | Other observed source | 0.63% | +0.31 pts |
| #162 of 550 | [aipolicytracker.org](https://machinerelations.ai/index/domains/aipolicytracker.org) | Other observed source | 0.63% | +0.31 pts |
| #163 of 550 | [airuntimesecurity.io](https://machinerelations.ai/index/domains/airuntimesecurity.io) | Other observed source | 0.63% | +0.31 pts |
| #164 of 550 | [aithreatbrief.com](https://machinerelations.ai/index/domains/aithreatbrief.com) | Other observed source | 0.63% | +0.31 pts |
| #165 of 550 | [alannafa.com](https://machinerelations.ai/index/domains/alannafa.com) | Other observed source | 0.63% | +0.31 pts |
| #166 of 550 | [amazon.com](https://machinerelations.ai/index/domains/amazon.com) | Other observed source | 0.63% | +0.31 pts |
| #269 of 550 | [anetcorp.com](https://machinerelations.ai/index/domains/anetcorp.com) | Other observed source | 0.32% | Same rate |
| #273 of 550 | [auditbadger.com](https://machinerelations.ai/index/domains/auditbadger.com) | Other observed source | 0.32% | Same rate |

## Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. arcjet.com, under 0.01% citation rate, 2 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/arcjet.com

APA

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

BibTeX

```bibtex
@misc{parrott2026mriarcjetcom,
  author = {Parrott, Jaxon},
  title = {arcjet.com 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/arcjet.com},
  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/arcjet.com/badge.svg

[![arcjet.com in the Machine Relations Index: cited in under 0.01% of monitored AI answers (2 of 39,509 runs), Nov 14, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/arcjet.com/badge.svg)](https://machinerelations.ai/index/domains/arcjet.com)

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)