Source domain profile · Academic and government source

nsf.gov in the Machine Relations Index

nsf.gov appeared as a cited source in 4 of 37,851 monitored answer runs (0.01%) from May 10, 2026 to November 9, 2026.

Source site Markdown Public JSON

Citation rate0.01%

4 cited runs of 37,851 observed answer runs.

Days cited4/177

Days with a citation, of the days observed in the current release window.

Engine breadth2

Claude, Perplexity. This is an observed-engine list, not a per-engine rate.

ConfidenceCollecting

MRI confidence is not an Answer-Source Fidelity grade.

Standing

Population ranks from the public release

Public standing: Collecting: no rank until it clears the evidence floor
Full universe: Not ranked in this release
Source role population: Not ranked in this release
Evidence-qualified source role: Not ranked in this release

Segment evidence

Observed category and question-shape rows

Segment rates use that category and question shape only. A row still collecting shows how many runs have been measured. A dash means no measured runs yet.

Category	Question shape	State	Cited runs	Observed runs	Run dates	Rate	Rank population	Badge
AI Infrastructure	Problem-first research	Published	3	299	14	1.00%	#106 of 476	Badge
Deep Tech & Hardware	How buyers choose	Published	1	272	13	0.37%	#233 of 287	Badge

Published segments: 2. Collecting segments: 0.

Citation history

Cited runs month by month

nsf.gov was first cited in a monitored answer run on September 30, 2026, and most recently on October 31, 2026, with cited runs in 2 of the 3 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
September 2026	1	4,971	0.02%
October 2026	3	16,496	0.02%
November 2026 (to November 9, 2026)	0	3,368	0.00%

By answer engine

Which engines cite nsf.gov

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	3	9,075	0.03%
Claude	1	8,995	0.01%
ChatGPT	0	8,956	0.00%
Gemini	0	7,316	0.00%
Google AI Mode	0	2,172	0.00%
Google AI Overviews	0	1,337	0.00%

Since August 31, 2026, nsf.gov is cited in none of 966 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, nsf.gov is cited in 3 of 4,306 observed Perplexity runs (0.07%). Perplexity's collection changed between October 6, 2026 and October 7, 2026, so its row above pools both sides of the change.

Peers

Nearest sources on AI Infrastructure / Problem-first research

nsf.gov holds its best segment rank, #106 of 476, in AI Infrastructure / Problem-first research, at 1.00%. 36 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. Full leaderboard.

Rank	Source	Source role	Segment citation rate	Against this source
#75 of 476	knowledgesdk.com	Other observed source	1.34%	+0.34 pts
#76 of 476	mastra.ai	Other observed source	1.34%	+0.34 pts
#77 of 476	mesour.com	Other observed source	1.34%	+0.34 pts
#105 of 476	northeastern.edu	Academic and government source	1.00%	Same rate
#107 of 476	opsresolve.com	Other observed source	1.00%	Same rate
#165 of 476	Impressive Magazine	Editorial publication	0.67%	-0.33 pts
#166 of 476	infoq.com	Other observed source	0.67%	-0.33 pts
#167 of 476	luminaryera.com	Other observed source	0.67%	-0.33 pts

Cite this

Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. nsf.gov, 0.01% citation rate, 4 of 37,851 monitored answer runs, 2026-05-10 to 2026-11-09. Release mri_score_v2.1+2026-11-09+d7ef5411c915. https://machinerelations.ai/index/domains/nsf.gov. CC BY 4.0.

APA

Parrott, J. (2026). nsf.gov in the Machine Relations Index (Version mri_score_v2.1+2026-11-09+d7ef5411c915) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/nsf.gov https://doi.org/10.5281/zenodo.23652423

BibTeX

@misc{parrott2026mrinsfgov,
  author = {Parrott, Jaxon},
  title = {nsf.gov in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-09+d7ef5411c915},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/nsf.gov},
  doi = {10.5281/zenodo.23652423},
  license = {CC-BY-4.0},
  note = {Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai}
}

CITATION.cff

Release and boundary

What this profile measures

Published November 9, 2026. The observation window runs May 10, 2026 to November 9, 2026. Methodology v2.1.

Use the data

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

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"])

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, not all AI answers, recommendation quality, web traffic or commercial performance. A citation is not source support.

Embed

Embed this profile’s badge

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HTML

<a href="https://machinerelations.ai/index/domains/nsf.gov"><img src="https://machinerelations.ai/index/domains/nsf.gov/badge.svg" alt="nsf.gov in the Machine Relations Index: cited in 0.01% of monitored AI answers (4 of 37,851 runs), Nov 9, 2026 release. Machine Relations Research." width="350" height="64"></a>

Markdown

[![nsf.gov in the Machine Relations Index: cited in 0.01% of monitored AI answers (4 of 37,851 runs), Nov 9, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/nsf.gov/badge.svg)](https://machinerelations.ai/index/domains/nsf.gov)