niche · -1.0 market industry

Vehicle Data

Score 19.3 / 100 34 providers +9 via APIs 21 APIs Search apis.io →
Business capabilities this tag reaches
Vehicle Connected Services Management 3

Providers using this tag (34)

Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.

Exemplar 2 Complete, well-documented, and agent-ready
Strong 2 Solid coverage with minor gaps
Developing 9 Usable, with meaningful gaps to close
Thin 8 Limited public surface area
Emerging 7 Early or largely undocumented
Minimal 6 Almost no public developer surface

APIs with this tag (21)

Ranked by the provider's API Evangelist rating — the Kin Score is scored per provider, not per API, so every API of a provider shares its band. How the rating works →

Exemplar 3 Complete, well-documented, and agent-ready
Strong 1 Solid coverage with minor gaps
Developing 4 Usable, with meaningful gaps to close
Thin 6 Limited public surface area
Emerging 6 Early or largely undocumented
Minimal 1 Almost no public developer surface

Companies reaching this through an API (9)

These companies publish an API, specification or operation carrying “Vehicle Data” but do not classify their business under it. Listed unranked and kept out of the count above, because one tagged operation is not a statement about what a company does.

Autopay BMW Cuvva Geotab LexisNexis Risk Solutions Rush Enterprises Smartcar Tessie Volvo Cars

Score breakdown

Frequency
45.1
log-scaled weighted occurrences
Breadth
0.4
spread across providers
Quality lift
32.6
mean composite of providers using it
Cohesion
9.1
strength of nearest seed neighbor

Where this tag sits

Automotive broader

Related tags

VIN 11 co-occurrences Connected Vehicles 19 co-occurrences VIN Decoding 8 co-occurrences Telematics 19 co-occurrences Automotive 37 co-occurrences Vehicles 11 co-occurrences Fleet Management 13 co-occurrences Electric Vehicles 8 co-occurrences

Where this tag comes from

Provider tag34
Api tag21
Openapi tag3
Openapi op tag18

Cohort brief

Auto-generated

The 32 providers in the APIs.io catalog tagged Vehicle Data, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.

Providers
32
of 34 in the catalog
Mean Kin Score
34.3
+10.2 vs catalog 24.1
Mean Agent Readiness
24.1
+10.0 vs catalog 14.1
Spread
3.6–75.6
median 32.9 · σ 18.7
How the 32 split by band
Exemplar 2Strong 2Developing 9Thin 8Emerging 7Minimal 4
Facet averages, against the whole catalog
FacetThis cohortCatalogDifferenceScored
Contract Quality 36.3 18.6 +17.7 32
Developer Ergonomics 36.8 24.5 +12.3 32
Operational Transparency 22.5 13.2 +9.3 32
Discoverability 67 59.1 +7.9 32
Contract Governance 15.9 9.7 +6.2 32
Access Clarity 31.6 30 +1.6 32

A facet is averaged over the members that carry it, not over the whole cohort — the “Scored” column is that count. Averaging an absent facet as zero would score our own coverage gaps as the providers’ posture.

What this cohort publishes
ArtifactThis cohortCatalogDifference
MCP server (any) 19% 18% +1
MCP server (first-party) 19% 16% +3
Agent Skills 0% 0% 0
OAuth scopes 19% 13% +6
Security 100% 99% +1
Arazzo workflows 3% 1% +2
Governance rules 66% 36% +30

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.

Top by Kin Score
  1. 1 CarsXE 75.6
  2. 2 Amazon IoT FleetWise 74.9
  3. 3 TheCarApi 58.4
  4. 4 PartsTech 55
  5. 5 MarketCheck 53.4
  6. 6 Cox Automotive 50.6
  7. 7 Audatex 50.3
  8. 8 Hyundai 49.5
  9. 9 Mercedes-Benz Mercedes me 48.9
  10. 10 Dealer.com 46.8
Top by Agent Readiness
  1. 1 CarsXE 69.1
  2. 2 Auto.dev 52.6
  3. 3 MarketCheck 50.3
  4. 4 Mercedes-Benz Mercedes me 43
  5. 5 Vehicles.dev 38.7
  6. 6 Audatex 36.8
  7. 7 Amazon IoT FleetWise 36.1
  8. 8 CarGene 35.7
  9. 9 Window Sticker VIN API 35.4
  10. 10 Cox Automotive 34.5
All 34 members of this roster resolve to a provider in the catalog; 32 carry a score (94%). The figures above describe the scored members only.
Coverage caveat. 23 of 32 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.Generated from the catalog build of 14 November 2026, across 41591 providers, using the same computation served by the APIs.io cohort API. Briefs are published for rosters of 5 or more scored providers; below that a distribution is not meaningful.

Work with this as data

Every tag here is available over the APIs.io API and to AI agents over MCP.

MCP server

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https://apis.io/mcp

Tools for tags

7 MCP tools reach this
  • find_tagsBrowse and filter every tag in the catalog.
  • get_cohortThis tag as a scored cohort — every provider carrying it, with scores.
  • cohort_statsPRO — the distribution across this tag: mean, median, band split, adoption rates.
  • cohort_rankingsPRO — the leaderboard, on composite AND agent-readiness axes.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

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This tag
curl "https://apis.io/api/v1/tags/vehicle-data"
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curl "https://apis.io/api/v1/tags?limit=25"
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The distribution (Pro)

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