Markets · bedrock market · provisional

Transit and Mobility (public transit, rail, micromobility)

Standard market (gtfs / gbfs feed publishers from mobilitydata's registers, maas association members). The Kin Score Market layer reads each provider in its market: who it integrates with, how deep those integrations go, and where the market publishes its own structure. Methodology.

51providers measured
0 (0.0%)declare their own
33 (64.7%)covered by others only
18 (35.3%)undeclared
29declare compatibility (report only, not weighted)
0in-market workflows shown
Provisional. Provisional and unweighted: the Market layer is not part of the composite or agent readiness. Leader lists are read within a position, never as one ranking. A provider that declares nothing we can read is shown as undeclared, with no number: we never infer integrations.

Where this market publishes its structure

Own = declares at least one integration itself; covered = visible only because an aggregator, standards body, regulator or partner contract names it; distribution-only = listed only on cloud marketplaces it sells through, a channel reported beside, never counted as its own declared integrations; undeclared = nothing we can read, so no number; declares_compatibility = providers with a `compatible` shape vote, report only (kin, 2026-10-13): never counted as own, never in depth or position.

Taxonomy how this market maps onto apis.io

Derived 2026-10-18 from the 51 providers in this market we could resolve in the catalog. The percentage is the share of those providers carrying each one; it describes the market, not the tag or industry. Tag groups have no page of their own yet, so they are listed unlinked.

TagsTransportation 69%, Mobility 49%, Transit 22%
Tag groupsLogistics 84%, Smart Cities 31%, Rail 31%
IndustriesTransportation 71%, Mobility & Fleet 53%

share of resolved cohort carrying it; tags >=0.20 & >=3 members (max 12, junk dropped), tag_groups >=0.20 (cooccurrence, non-cross-cutting; max 8), industries >=0.20 (max 6), areas >=0.10 (max 6; areas are keyword-matched and sparse), capabilities L1 >=0.20 (max 8); derive-market-taxonomy.py

Leaders by position (provisional)

Provisional: grouped by position, depth compared within a position only. Distribution (cloud marketplaces) and iPaaS bridges are counted beside position, never inside it. Unknown-builder listings are left out of position shares and counted here.

covered 1 · reached mainly through aggregators

ProviderDepthIntegrationsIn / outUnknown builderDistributioniPaaS bridgeMix
Flowbird 0 0 / 0 0 0 0 covered 100%

standard 32 · listed by a voluntary standard's own directory

ProviderDepthIntegrationsIn / outUnknown builderDistributioniPaaS bridgeMix
Chicago Transit Authority 34.5 thin 2 0 / 2 0 0 0 standard 100%
Transport for Manchester, England 34.5 thin 2 0 / 2 0 0 0 standard 100%
Grab 19.2 thin 1 0 / 1 0 0 0 standard 100%
Amtrak 17.2 thin 1 0 / 1 0 0 0 standard 100%
Bay Area Rapid Transit 17.2 thin 1 0 / 1 0 0 0 standard 100%
Bird 17.2 thin 1 0 / 1 0 0 0 standard 100%
BlaBlaCar 17.2 thin 1 0 / 1 0 0 0 standard 100%
Bolt 17.2 thin 1 0 / 1 0 0 0 standard 100%
Careem 17.2 thin 1 0 / 1 0 0 0 standard 100%
Dott 17.2 thin 1 0 / 1 0 0 0 standard 100%
Getaround 17.2 thin 1 0 / 1 0 0 0 standard 100%
Lime 17.2 thin 1 0 / 1 0 0 0 standard 100%
Lyft 17.2 thin 1 0 / 1 0 0 0 standard 100%
MBTA 17.2 thin 1 0 / 1 0 0 0 standard 100%
Metra 17.2 thin 1 0 / 1 0 0 0 standard 100%
Metro Lisboa 17.2 thin 1 0 / 1 0 0 0 standard 100%
Metro Transit 17.2 thin 1 0 / 1 0 0 0 standard 100%
Transport for Atlanta, US 17.2 thin 1 0 / 1 0 0 0 standard 100%
Transport for Denver, US 17.2 thin 1 0 / 1 0 0 0 standard 100%
Transport for Hessen, Germany 17.2 thin 1 0 / 1 0 0 0 standard 100%
Transport for Honolulu, US 17.2 thin 1 0 / 1 0 0 0 standard 100%
Transport for Los Angeles, US 17.2 thin 1 0 / 1 0 0 0 standard 100%
Transport for Philadelphia, US 17.2 thin 1 0 / 1 0 0 0 standard 100%
Transport for Sao Paulo, Brazil 17.2 thin 1 0 / 1 0 0 0 standard 100%
Transport for Spain 17.2 thin 1 0 / 1 0 0 0 standard 100%
Transport for The Netherlands 17.2 thin 1 0 / 1 0 0 0 standard 100%
Transport for Vancouver, Canada 17.2 thin 1 0 / 1 0 0 0 standard 100%
Transport for Washington, US 17.2 thin 1 0 / 1 0 0 0 standard 100%
Uber 17.2 thin 1 0 / 1 0 0 0 standard 100%
Velib metropolis, Paris, France 17.2 thin 1 0 / 1 0 0 0 standard 100%
VIA Rail Canada 17.2 thin 1 0 / 1 0 0 0 standard 100%
Voi 17.2 thin 1 0 / 1 0 0 0 standard 100%

undeclared 18 · declares nothing we can read: no number

ProviderDepthIntegrationsIn / outUnknown builderDistributioniPaaS bridgeMix
Cabify undeclared-----
City Bikes undeclared-----
Citymapper undeclared-----
Didi undeclared-----
FlixBus undeclared-----
JCDecaux Bike undeclared-----
Moovit undeclared-----
Neuron Mobility undeclared-----
Ola undeclared-----
Open Mobility Foundation undeclared-----
Optibus undeclared-----
SilverRail undeclared-----
Skip Scooters undeclared-----
TicTacTrip undeclared-----
Trainline undeclared-----
Transit undeclared-----
TransportAPI undeclared-----
Zipcar undeclared-----

Generated 2026-10-18 from API Evangelist's own files; nothing on this page is a model's judgement. Provisional and unweighted; not part of the Kin Score composite or agent readiness. Read the Market layer methodology. Disagree with an edge? Every edge cites its evidence and can be corrected through the normal correction path.