ai.machinerelations/mri · v1.0.0 · data-and-databases
Machine Relations Index is healthy: it completed an MCP handshake in 1803 ms and exposes 4 tools. It scores 61/100.
Which source domains AI answer engines cite, by buyer category and question shape.
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Healthy · last checked 2026-10-14T09:00:51.818Z UTC
| Checked (UTC) | Status | Latency |
|---|---|---|
| 2026-10-14T09:00:51.818Z | ok | 1803 ms |
| health | 18.8 / 25 |
| authEase | 15 / 15 |
| toolQuality | 15 / 15 |
| maintenance | 7 / 15 |
| adoption | 0 / 10 |
| usage | 0 / 10 |
| security | 5 / 10 |
mri_list_categories List every Machine Relations Index category (e.g. cybersecurity, fintech, enterprise-software, ai-visibility-geo) with the question shapes that have published citation rates, plus the source-role vocabulary. Call this first to get a valid category key.mri_get_category Return one category's question shapes (best tools, how buyers choose, comparisons, top lists, problem-first research, is it worth it, news) and the evidence state of each: published with rates, collecting, or not collectable.mri_get_cited_sources Ranked source domains that AI answer engines cite for one category and question shape, with citation rate (share of monitored answer runs citing the domain), rank, percentile and source role (editorial publication, vendor-owned, analyst research, community, academic/government, market database, wiremri_get_domain For one domain or URL, return how often AI answer engines cite it: overall citation rate, which engines cite it, confidence tier, rank among all cited domains and within its source role, and per-category segment rates. Use to answer 'does ChatGPT/Perplexity cite <site>' or 'how authoritative is <pubNo repository listed · website