--- title: "okcfox.com in the Machine Relations Index" description: "okcfox.com appeared as a cited source in 1 of 38,449 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-11." canonical: "https://machinerelations.ai/index/domains/okcfox.com" --- # okcfox.com in the Machine Relations Index okcfox.com appeared as a cited source in 1 of 38,449 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-11. Canonical URL: https://machinerelations.ai/index/domains/okcfox.com Canonical domain: okcfox.com Source role: Other observed source Release mri_score_v2.1+2026-11-11+d52a5886914e; methodology mri_score_v2.1; generated 2026-11-11; window 2026-05-10 to 2026-11-11; artifact fecc44142bec. ## Overall Evidence - Citation rate: under 0.01% - Cited runs: 1 of 38,449 - Days cited: 1 of 179 - 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 | |---|---|---|---:|---:|---:|---:|---| | [iGaming & Betting](https://machinerelations.ai/index/categories/igaming-betting) | [Top lists](https://machinerelations.ai/index/categories/igaming-betting/top_list) | published | 1 | 223 | 12 | 0.45% | #369 of 446 | ## Citation Record okcfox.com has been cited in one monitored answer run, on October 2, 2026, by Perplexity, in answers to iGaming & Betting / Top lists questions. Other sources cited for iGaming & Betting questions: https://machinerelations.ai/index/categories/igaming-betting ## Peers okcfox.com holds its best segment rank, #369 of 446, in iGaming & Betting / Top lists, at 0.45%. 218 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/igaming-betting/top_list | Rank | Source | Source role | Segment citation rate | Against this source | |---|---|---|---:|---| | #201 of 446 | [meneercasino.com](https://machinerelations.ai/index/domains/meneercasino.com) | Other observed source | 0.90% | +0.45 pts | | #202 of 446 | [mybettingsites.co.uk](https://machinerelations.ai/index/domains/mybettingsites.co.uk) | Other observed source | 0.90% | +0.45 pts | | #203 of 446 | [netcore.ai](https://machinerelations.ai/index/domains/netcore.ai) | Vendor-owned source | 0.90% | +0.45 pts | | #204 of 446 | [nowg.net](https://machinerelations.ai/index/domains/nowg.net) | Other observed source | 0.90% | +0.45 pts | | #205 of 446 | [owler.com](https://machinerelations.ai/index/domains/owler.com) | Other observed source | 0.90% | +0.45 pts | | #206 of 446 | [pestel-analysis.com](https://machinerelations.ai/index/domains/pestel-analysis.com) | Other observed source | 0.90% | +0.45 pts | | #367 of 446 | [nowmusicfanblog.co.uk](https://machinerelations.ai/index/domains/nowmusicfanblog.co.uk) | Other observed source | 0.45% | Same rate | | #371 of 446 | [onerise.io](https://machinerelations.ai/index/domains/onerise.io) | Other observed source | 0.45% | Same rate | ## Citation Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. okcfox.com, under 0.01% citation rate, 1 of 38,449 monitored answer runs, 2026-05-10 to 2026-11-11. Release mri_score_v2.1+2026-11-11+d52a5886914e. CC BY 4.0. https://machinerelations.ai/index/domains/okcfox.com APA Parrott, J. (2026). okcfox.com in the Machine Relations Index (Version mri_score_v2.1+2026-11-11+d52a5886914e) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/okcfox.com https://doi.org/10.5281/zenodo.23652423 BibTeX ```bibtex @misc{parrott2026mriokcfoxcom, author = {Parrott, Jaxon}, title = {okcfox.com in the Machine Relations Index}, year = {2026}, version = {mri\_score\_v2.1+2026-11-11+d52a5886914e}, publisher = {Machine Relations Research}, url = {https://machinerelations.ai/index/domains/okcfox.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/okcfox.com/badge.svg [![okcfox.com in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 38,449 runs), Nov 11, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/okcfox.com/badge.svg)](https://machinerelations.ai/index/domains/okcfox.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)