--- title: "machete.tech in the Machine Relations Index" description: "machete.tech appeared as a cited source in 2 of 38,449 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-11." canonical: "https://machinerelations.ai/index/domains/machete.tech" --- # machete.tech in the Machine Relations Index machete.tech appeared as a cited source in 2 of 38,449 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-11. Canonical URL: https://machinerelations.ai/index/domains/machete.tech Canonical domain: machete.tech 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. ## How the Site Describes Itself > Launch your online casino with Machete’s iGaming platform. White-label, turnkey and hybrid solutions with payments, CRM and KYC. Talk to us. machete.tech describes itself this way in the description tag on its homepage, read on November 8, 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 38,449 - Days cited: 2 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 | 2 | 223 | 12 | 0.90% | #199 of 446 | ## Citation History machete.tech was first cited in a monitored answer run on October 18, 2026, and most recently on October 25, 2026, with cited runs in 1 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 | 2 | 16,496 | 0.01% | | November 2026 (to 2026-11-11) | 0 | 3,966 | 0.00% | ## 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 | 9,257 | 0.02% | | [ChatGPT](https://machinerelations.ai/index/engines/chatgpt) | 0 | 9,137 | 0.00% | | [Claude](https://machinerelations.ai/index/engines/claude) | 0 | 9,177 | 0.00% | | [Gemini](https://machinerelations.ai/index/engines/gemini) | 0 | 7,326 | 0.00% | | [Google AI Mode](https://machinerelations.ai/index/engines/google_ai_mode) | 0 | 2,198 | 0.00% | | [Google AI Overviews](https://machinerelations.ai/index/engines/google_ai_overviews) | 0 | 1,354 | 0.00% | Since August 31, 2026, machete.tech is cited in none of 992 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, machete.tech is cited in 2 of 4,488 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 machete.tech holds its best segment rank, #199 of 446, in iGaming & Betting / Top lists, at 0.90%. 71 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 | |---|---|---|---:|---| | #140 of 446 | [lvgps.com](https://machinerelations.ai/index/domains/lvgps.com) | Other observed source | 1.35% | +0.45 pts | | #141 of 446 | [OnlyiGaming](https://machinerelations.ai/index/domains/onlyigaming.com) | Editorial publication | 1.35% | +0.45 pts | | #142 of 446 | [pimlicosolutions.com](https://machinerelations.ai/index/domains/pimlicosolutions.com) | Other observed source | 1.35% | +0.45 pts | | #197 of 446 | [livecasinorank.co.uk](https://machinerelations.ai/index/domains/livecasinorank.co.uk) | Other observed source | 0.90% | Same rate | | #200 of 446 | [maxmind.com](https://machinerelations.ai/index/domains/maxmind.com) | Other observed source | 0.90% | Same rate | | #354 of 446 | [marketintelo.com](https://machinerelations.ai/index/domains/marketintelo.com) | Analyst and consulting research | 0.45% | -0.45 pts | | #355 of 446 | [meegle.com](https://machinerelations.ai/index/domains/meegle.com) | Other observed source | 0.45% | -0.45 pts | | #356 of 446 | [mgt.eu](https://machinerelations.ai/index/domains/mgt.eu) | Other observed source | 0.45% | -0.45 pts | ## Citation Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. machete.tech, under 0.01% citation rate, 2 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/machete.tech APA Parrott, J. (2026). machete.tech in the Machine Relations Index (Version mri_score_v2.1+2026-11-11+d52a5886914e) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/machete.tech https://doi.org/10.5281/zenodo.23652423 BibTeX ```bibtex @misc{parrott2026mrimachetetech, author = {Parrott, Jaxon}, title = {machete.tech 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/machete.tech}, 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/machete.tech/badge.svg [![machete.tech in the Machine Relations Index: cited in under 0.01% of monitored AI answers (2 of 38,449 runs), Nov 11, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/machete.tech/badge.svg)](https://machinerelations.ai/index/domains/machete.tech) 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)