--- title: "bifrost.ai in the Machine Relations Index" description: "bifrost.ai 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/bifrost.ai" --- # bifrost.ai in the Machine Relations Index bifrost.ai 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/bifrost.ai Canonical domain: bifrost.ai 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. ## How the Site Describes Itself > Manifold runs thousands of GPU-parallel robot policy evaluations with custom rubrics and agentic failure analysis. Insights in 30 minutes, not days. bifrost.ai describes itself this way in the description tag on its homepage, read on November 4, 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 (chatgpt) - 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 | 2 | 321 | 14 | 0.62% | #184 of 473 | ## Citation History bifrost.ai was first cited in a monitored answer run on October 11, 2026, and most recently on October 18, 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 2026-11-14) | 0 | 5,026 | 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 | |---|---:|---:|---:| | [ChatGPT](https://machinerelations.ai/index/engines/chatgpt) | 2 | 9,410 | 0.02% | | [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% | | [Perplexity](https://machinerelations.ai/index/engines/perplexity) | 0 | 9,530 | 0.00% | Since August 31, 2026, bifrost.ai 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, bifrost.ai is cited in none of 4,761 observed Perplexity runs. Perplexity's collection changed between October 6, 2026 and October 7, 2026, so its row above pools both sides of the change. ## Peers bifrost.ai holds its best segment rank, #184 of 473, in AI Security & Privacy / Best tools, at 0.62%. 87 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 | |---|---|---|---:|---| | #140 of 473 | [Ai Journal](https://machinerelations.ai/index/domains/aijourn.com) | Editorial publication | 0.93% | +0.31 pts | | #141 of 473 | [AIMultiple](https://machinerelations.ai/index/domains/aimultiple.com) | Editorial publication | 0.93% | +0.31 pts | | #142 of 473 | [aioutlooks.com](https://machinerelations.ai/index/domains/aioutlooks.com) | Other observed source | 0.93% | +0.31 pts | | #183 of 473 | [bendexgeometry.com](https://machinerelations.ai/index/domains/bendexgeometry.com) | Other observed source | 0.62% | Same rate | | #187 of 473 | [builderworld.io](https://machinerelations.ai/index/domains/builderworld.io) | Other observed source | 0.62% | Same rate | | #282 of 473 | [apxml.com](https://machinerelations.ai/index/domains/apxml.com) | Other observed source | 0.31% | -0.31 pts | | #283 of 473 | [arcade.dev](https://machinerelations.ai/index/domains/arcade.dev) | Other observed source | 0.31% | -0.31 pts | | #284 of 473 | [arcjet.com](https://machinerelations.ai/index/domains/arcjet.com) | Vendor-owned source | 0.31% | -0.31 pts | ## Citation Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. bifrost.ai, 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/bifrost.ai APA Parrott, J. (2026). bifrost.ai in the Machine Relations Index (Version mri_score_v2.1+2026-11-14+a5e5e37df8da) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/bifrost.ai https://doi.org/10.5281/zenodo.23652423 BibTeX ```bibtex @misc{parrott2026mribifrostai, author = {Parrott, Jaxon}, title = {bifrost.ai 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/bifrost.ai}, 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/bifrost.ai/badge.svg [![bifrost.ai 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/bifrost.ai/badge.svg)](https://machinerelations.ai/index/domains/bifrost.ai) 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)