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.
Where this market publishes its structure
- Mobility Database feeds export (files.mobilitydatabase.org/feeds_v2.csv, MobilityData) machine-readable, 6,591 GTFS / GTFS-RT feeds; 18 providers linked by feed-host domain; most feeds sit on aggregators / national access points (held)
- GBFS systems.csv (github.com/MobilityData/gbfs) machine-readable, 1,263 systems; 11 operators linked by website domain
- Mobility Alliance (formerly MaaS Alliance) member wall (maas-alliance.eu) machine-readable, 88 member cards; 3 linked; 37 held (out-of-market, universities, subsidiaries)
- mobility-database-catalogs repo (MobilityData) machine-readable, superseded by the feeds export above (same ids); not read separately
- OSDM adopters (osdm.io) not machine-readable: railways and distributors named only in prose ('we studied the systems of ...'): a mention list, not an adopter register (2026-10-19)
- TOMP-API implementers (TOMP-WG wiki A6) not machine-readable: implementers shown as a logo IMAGE only (2026-10-19)
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.
| Tags | Transportation 69%, Mobility 49%, Transit 22% |
|---|---|
| Tag groups | Logistics 84%, Smart Cities 31%, Rail 31% |
| Industries | Transportation 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
| Provider | Depth | Integrations | In / out | Unknown builder | Distribution | iPaaS bridge | Mix |
|---|---|---|---|---|---|---|---|
| Flowbird | 0 | 0 / 0 | 0 | 0 | 0 | covered 100% |
standard 32 · listed by a voluntary standard's own directory
| Provider | Depth | Integrations | In / out | Unknown builder | Distribution | iPaaS bridge | Mix |
|---|---|---|---|---|---|---|---|
| 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
| Provider | Depth | Integrations | In / out | Unknown builder | Distribution | iPaaS bridge | Mix |
|---|---|---|---|---|---|---|---|
| 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.