compare_cohorts
Logistics vs Supply Chain: a dead heat, and a clean one
Logistics and supply chain score within 0.2 points of each other, and this is a comparison the coverage check allows.
Logistics
Supply Chain & Procurement
Each sun is drawn from the cohort's averages: six facet rings, the mean Kin Score and mean agent readiness.
depth_confounded: false), so this gap can be read as a difference between the markets.This is the closest comparison on the page. Logistics averages 20.9 across 678 scored providers and supply chain and procurement averages 20.7 across 1,308. The medians are 14.5 and 14.7, and both cohorts share the same 94.0 ceiling. Agent readiness is 11.7 against 11.0.
depth_confounded is false. Both cohorts sit at a median of eight artifact directories and the same 78.8-point catalog gap, so this near-tie reflects the markets, not our coverage. The small differences are real but slight. Logistics leads on contract quality (18.6 against 16.3) and developer ergonomics (21.3 against 20.2). Supply chain leads on access clarity (22.4 against 20.5) and OAuth scopes (10% against 8%). It also has more strong and exemplar providers in absolute terms, 50 against 23, because it is nearly twice the size.
Both have the same first-party MCP rate, 8%. If you are choosing between a carrier API and a procurement API, the market label tells you nothing. Compare the providers.
The distributions
| Logistics | Supply Chain & Procurement | Delta | |
|---|---|---|---|
| Kin Score, mean | 20.9 | 20.7 | +0.2 |
| Kin Score, median | 14.5 | 14.7 | -0.2 |
| Kin Score, highest | 94 | 94 | |
| Kin Score, std dev | 16.4 | 16.1 | |
| Agent readiness, mean | 11.7 | 11 | +0.7 |
| Agent readiness, highest | 60.4 | 65.5 |
Delta is Logistics minus Supply Chain & Procurement, as the tool returns it.
Where the providers sit
Logistics
Supply Chain & Procurement
Facet averages
| Facet | Logistics | Supply Chain & Procurement | Delta |
|---|---|---|---|
| Discoverability | 59 | 58.6 | +0.4 |
| Contract Quality | 18.6 | 16.3 | +2.3 |
| Contract Governance | 5.1 | 5.7 | -0.6 |
| Operational Transparency | 10 | 10.4 | -0.4 |
| Developer Ergonomics | 21.3 | 20.2 | +1.1 |
| Access Clarity | 20.5 | 22.4 | -1.9 |
What they publish
Share of each cohort's providers publishing each artifact. mcp_pct counts any mcp/ artifact including ones API Evangelist derived from the provider OpenAPI; mcp_first_party_pct counts only servers the provider publishes. Prefer the latter.
| Artifact | Logistics | Supply Chain & Procurement | Delta |
|---|---|---|---|
| First-party MCP server | 8% | 8% | 0 |
| Any MCP artifact (incl. derived) | 9% | 9% | 0 |
| OAuth scopes | 8% | 10% | -2 |
| Spectral rules | 12% | 12% | 0 |
| Arazzo workflows | 2% | 1% | +1 |
| Agent skills | 0% | 0% | 0 |
| Security artifact | 98% | 99% | -1 |
How well we know each cohort
The coverage behind the averages. A cohort with a higher catalog gap and fewer artifact directories has been enriched less, so part of any difference is our coverage rather than the market.
| Logistics | Supply Chain & Procurement | |
|---|---|---|
| Declared members | 728 | 1396 |
| Scored (in the averages) | 678 (93%) | 1308 (94%) |
| Thinly covered | 626 | 1197 |
| Median artifact directories | 8 | 8 |
| Mean catalog gap (points we could add) | 78.8 | 78.8 |
The full compare_cohorts response
{"a":{"kind":"industry","slug":"logistics","name":"Logistics","members":728,"stats":{"kind":"industry","slug":"logistics","name":"Logistics","tier":"report","coverage":{"declared_members":728,"resolved_members":728,"scored_members":678,"agent_scored_members":678,"scored_share_pct":93,"unexamined_members":47,"enrichment_depth":{"mean_catalog_gap":78.8,"median_artifact_dirs":8,"n":678,"thinly_covered":626,"thinly_covered_of":678,"thin_coverage_note":"626 of 678 scored members had under half their catalog-attributable points satisfied at all (catalog_earned / catalog_max < 0.5). They are INCLUDED in the mean above. A large share here means the cohort mean is partly a measurement of how far our enrichment reached, not only of how these providers publish.","note":"Rubric points API Evangelist could add to the average member with no action by the providers, and the median count of artifact directories we hold on them. A cohort with a higher gap and thinner artifacts has been enriched less, so part of any difference between its mean and another cohort's is our coverage rather than the market. Compare two cohorts only when this figure is comparable. It is an upper bound on our backlog: it says who CAN close a gap, not who did."},"unexamined_note":"Excluded from the distribution: these carry a catalog-owned needs_work flag (never enriched, or no resolvable host). They are listed as members and keep their own page and score; they do not vote in the averages, because their score measures our coverage rather than their posture."},"sufficient":true,"kin_score":{"mean":20.9,"median":14.5,"min":0,"max":94,"stdev":16.4},"agent_readiness":{"mean":11.7,"median":1,"min":0,"max":60.4,"stdev":14.6},"band_distribution":{"exemplar":6,"strong":17,"developing":88,"thin":112,"emerging":195,"minimal":260},"facet_averages":{"discoverability":{"mean":59,"n":678},"contract_quality":{"mean":18.6,"n":678},"contract_governance":{"mean":5.1,"n":678},"operational_transparency":{"mean":10,"n":678},"developer_ergonomics":{"mean":21.3,"n":678},"access_clarity":{"mean":20.5,"n":678}},"adoption":{"mcp_pct":9,"mcp_first_party_pct":8,"mcp_note":"mcp_pct counts any mcp/ artifact including ones API Evangelist derived from the provider OpenAPI; mcp_first_party_pct counts only servers the provider publishes. Prefer the latter.","skills_pct":0,"scopes_pct":8,"security_pct":98,"arazzo_pct":2,"rules_pct":12}}},"b":{"kind":"industry","slug":"supply-chain","name":"Supply Chain & Procurement","members":1396,"stats":{"kind":"industry","slug":"supply-chain","name":"Supply Chain & Procurement","tier":"report","coverage":{"declared_members":1396,"resolved_members":1396,"scored_members":1308,"agent_scored_members":1308,"scored_share_pct":94,"unexamined_members":83,"enrichment_depth":{"mean_catalog_gap":78.8,"median_artifact_dirs":8,"n":1308,"thinly_covered":1197,"thinly_covered_of":1308,"thin_coverage_note":"1197 of 1308 scored members had under half their catalog-attributable points satisfied at all (catalog_earned / catalog_max < 0.5). They are INCLUDED in the mean above. A large share here means the cohort mean is partly a measurement of how far our enrichment reached, not only of how these providers publish.","note":"Rubric points API Evangelist could add to the average member with no action by the providers, and the median count of artifact directories we hold on them. A cohort with a higher gap and thinner artifacts has been enriched less, so part of any difference between its mean and another cohort's is our coverage rather than the market. Compare two cohorts only when this figure is comparable. It is an upper bound on our backlog: it says who CAN close a gap, not who did."},"unexamined_note":"Excluded from the distribution: these carry a catalog-owned needs_work flag (never enriched, or no resolvable host). They are listed as members and keep their own page and score; they do not vote in the averages, because their score measures our coverage rather than their posture."},"sufficient":true,"kin_score":{"mean":20.7,"median":14.7,"min":0,"max":94,"stdev":16.1},"agent_readiness":{"mean":11,"median":0.6,"min":0,"max":65.5,"stdev":14.7},"band_distribution":{"exemplar":11,"strong":39,"developing":159,"thin":199,"emerging":419,"minimal":481},"facet_averages":{"discoverability":{"mean":58.6,"n":1308},"contract_quality":{"mean":16.3,"n":1308},"contract_governance":{"mean":5.7,"n":1308},"operational_transparency":{"mean":10.4,"n":1308},"developer_ergonomics":{"mean":20.2,"n":1308},"access_clarity":{"mean":22.4,"n":1308}},"adoption":{"mcp_pct":9,"mcp_first_party_pct":8,"mcp_note":"mcp_pct counts any mcp/ artifact including ones API Evangelist derived from the provider OpenAPI; mcp_first_party_pct counts only servers the provider publishes. Prefer the latter.","skills_pct":0,"scopes_pct":10,"security_pct":99,"arazzo_pct":1,"rules_pct":12}}},"comparable":true,"delta":{"kin_score_mean":0.2,"kin_score_median":-0.2,"agent_readiness_mean":0.7,"facets":{"discoverability":0.4,"contract_quality":2.3,"contract_governance":-0.6,"operational_transparency":-0.4,"developer_ergonomics":1.1,"access_clarity":-1.9},"adoption":{"mcp_pct":0,"mcp_first_party_pct":0,"mcp_note":null,"skills_pct":0,"scopes_pct":-2,"security_pct":-1,"arazzo_pct":1,"rules_pct":0},"enrichment_depth":{"mean_catalog_gap":0,"median_artifact_dirs":0}},"depth_confounded":false}
Result read 2026-10-27. Logistics and Supply Chain & Procurement each have their own page with the full roster and leaderboard.
Run this comparison yourself
Everything above came from one call to compare_cohorts. Swap in any two tags, industries, regions, areas or VC portfolios and you get the same answer for your own shortlist. It is an Understanding tool, included in the Understanding and Influence plans, or pay per call.
https://apis.io/mcp:
{"name": "compare_cohorts", "arguments": {"a": "industry:logistics", "b": "industry:supply-chain"}}
Over the REST API:
curl "https://apis.io/api/v1/cohorts/compare?a=industry:logistics&b=industry:supply-chain" \
-H "X-API-Key: $APIS_IO_KEY"
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