machine-relations/machine-relations-index

Machine Relations Index

Machine Relations Index (MRI) by Jaxon Parrott, Machine Relations Research — machinerelations.ai. Publisher: Machine Relations Research. Creator: Jaxon Parrott. License: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).

Machine Relations was coined by Jaxon Parrott in 2024.

Keywords: AI search, generative engine optimization, answer engine citations, Machine Relations.

Weekly public snapshot of the Machine Relations Index. Version mri_score_v2.1+2026-10-27+06e001ee9f9a, generated 2026-10-27, window 2026-05-10 to 2026-10-27. Methodology mri_score_v2.1. 34172 cited source domains, 157 segments, 6 answer engines. Evidence floor: 10 observed runs and 7 distinct run dates.

machine-relations-index.json is the public artifact copied byte for byte. Its sha256 is 9964b4936fa298524514713c0f1826a7bfa4cc23c987a42549045bdd39eca3dd and matches mri-release-manifest.json. The CSV files are flat views of that artifact for the dataset viewer. They are not a second measurement.

Citation

If you use this dataset, cite it as Machine Relations Index (MRI) by Jaxon Parrott, Machine Relations Research — machinerelations.ai.

Concept DOI: https://doi.org/10.5281/zenodo.23652423. Zenodo record: https://zenodo.org/records/23652423. Hugging Face dataset: https://huggingface.co/datasets/machine-relations/machine-relations-index.

@misc{parrottMriDataset,
  author = {Parrott, Jaxon},
  title = {Machine Relations Index},
  year = {2026},
  version = {mri_score_v2.1+2026-10-27+06e001ee9f9a},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index},
  doi = {10.5281/zenodo.23652423},
  license = {CC-BY-4.0}
}

Links

• Index: https://machinerelations.ai/index
• Methodology: https://machinerelations.ai/research/machine-relations-index-methodology
• API: https://machinerelations.ai/api/mri/v2
• MCP: https://machinerelations.ai/mcp
• Weekly Index Report: https://machinerelations.ai/research/machine-relations-index-report

Files

• machine-relations-index.json: public Index artifact.
• mri-release-manifest.json: release id, methodology version, artifact sha256.
• mri-crosswalk-v1-v2.json: frozen v1 to v2 comparison.
• domains.csv: one row per cited source domain.
• segments.csv: one row per category and question shape.
• engines.csv: the answer-engine roster for this release.
• release.json: release id, publication date, artifact sha256.
• CITATION.cff: Citation File Format for this snapshot.
• LICENSE: CC BY 4.0.
• zenodo-metadata.json: the Zenodo metadata sent with this snapshot.

Data dictionary

domains.csv

• rank
• domain
• display_name
• source_role
• source_role_label
• citation_rate
• runs_cited
• runs_observed
• engine_count
• engines
• confidence
• days_cited
• days_observed
• temporal_consistency
• position_avg
• position_best
• first_cited
• last_cited
• full_universe_rank
• full_universe_percentile

engines is a |-separated list of answer engines that cited the domain. citation_rate is cited runs divided by observed runs.

segments.csv

• category

• question_shape

• status

• not_collectable

• collecting_since

• runs_observed

• distinct_domains_cited

• run_dates

• distinct_domains_cited: On a segment (strata and by_category strata): how many different source domains answer engines cited at least once in that segment. A count of domains, not of answer runs.

• runs_cited_domains: The same number as distinct_domains_cited, kept under its earlier name for existing readers. Despite the name it counts domains, not answer runs.

• cited_domain_observations: In stratum_summary: distinct_domains_cited summed over every segment, so a domain cited in several segments counts once in each. Not a count of answer runs or of citations.

engines.csv

• engine
• requested_model
• resolved_model
• status
• days_observed
• runs_total
• runs_observed
• last_success_date
• last_observed_date

Model fields are empty when the provider reports none.