--- title: "rainshadowlabs.com in the Machine Relations Index" description: "rainshadowlabs.com appeared as a cited source in 1 of 39,125 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-13." canonical: "https://machinerelations.ai/index/domains/rainshadowlabs.com" --- # rainshadowlabs.com in the Machine Relations Index rainshadowlabs.com appeared as a cited source in 1 of 39,125 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-13. Canonical URL: https://machinerelations.ai/index/domains/rainshadowlabs.com Canonical domain: rainshadowlabs.com Source role: Other observed source Release mri_score_v2.1+2026-11-13+ac21a4cdb8e7; methodology mri_score_v2.1; generated 2026-11-13; window 2026-05-10 to 2026-11-13; artifact 169859380096. ## Overall Evidence - Citation rate: under 0.01% - Cited runs: 1 of 39,125 - Days cited: 1 of 181 - 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 | |---|---|---|---:|---:|---:|---:|---| | [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [Is it worth it](https://machinerelations.ai/index/categories/consumer-products/is_x_worth) | published | 1 | 313 | 13 | 0.32% | #314 of 364 | ## Citation Record rainshadowlabs.com has been cited in one monitored answer run, on November 4, 2026, by Perplexity, in answers to Consumer Products / Is it worth it questions. Other sources cited for Consumer Products questions: https://machinerelations.ai/index/categories/consumer-products ## Peers rainshadowlabs.com holds its best segment rank, #314 of 364, in Consumer Products / Is it worth it, at 0.32%. 162 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/consumer-products/is_x_worth | Rank | Source | Source role | Segment citation rate | Against this source | |---|---|---|---:|---| | #182 of 364 | [runkbottle.com](https://machinerelations.ai/index/domains/runkbottle.com) | Other observed source | 0.64% | +0.32 pts | | #183 of 364 | [sciencedirect.com](https://machinerelations.ai/index/domains/sciencedirect.com) | Academic and government source | 0.64% | +0.32 pts | | #184 of 364 | [St. Cloud Times](https://machinerelations.ai/index/domains/sctimes.com) | Other observed source | 0.64% | +0.32 pts | | #185 of 364 | [The Seattle Times](https://machinerelations.ai/index/domains/seattletimes.com) | Editorial publication | 0.64% | +0.32 pts | | #186 of 364 | [shopback.com](https://machinerelations.ai/index/domains/shopback.com) | Other observed source | 0.64% | +0.32 pts | | #187 of 364 | [skincarebyamypeterson.com](https://machinerelations.ai/index/domains/skincarebyamypeterson.com) | Other observed source | 0.64% | +0.32 pts | | #313 of 364 | [purity.live](https://machinerelations.ai/index/domains/purity.live) | Other observed source | 0.32% | Same rate | | #316 of 364 | [Rolling Stone](https://machinerelations.ai/index/domains/rollingstone.com) | Editorial publication | 0.32% | Same rate | ## Citation Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. rainshadowlabs.com, under 0.01% citation rate, 1 of 39,125 monitored answer runs, 2026-05-10 to 2026-11-13. Release mri_score_v2.1+2026-11-13+ac21a4cdb8e7. CC BY 4.0. https://machinerelations.ai/index/domains/rainshadowlabs.com APA Parrott, J. (2026). rainshadowlabs.com in the Machine Relations Index (Version mri_score_v2.1+2026-11-13+ac21a4cdb8e7) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/rainshadowlabs.com https://doi.org/10.5281/zenodo.23652423 BibTeX ```bibtex @misc{parrott2026mrirainshadowlabscom, author = {Parrott, Jaxon}, title = {rainshadowlabs.com in the Machine Relations Index}, year = {2026}, version = {mri\_score\_v2.1+2026-11-13+ac21a4cdb8e7}, publisher = {Machine Relations Research}, url = {https://machinerelations.ai/index/domains/rainshadowlabs.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/rainshadowlabs.com/badge.svg [![rainshadowlabs.com in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 39,125 runs), Nov 13, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/rainshadowlabs.com/badge.svg)](https://machinerelations.ai/index/domains/rainshadowlabs.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)