Markets · bedrock market · provisional

Open Mobility Foundation MDS (shared micromobility, carshare, delivery robots, passenger services)

Standard market (omf mds provider registry + agency registry). 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.

14providers measured
4 (28.6%)declare their own
10 (71.4%)covered by others only
0 (0.0%)undeclared
8declare 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 2026-10-23 from the 14 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.

TagsMobility 64%, Transportation 57%, Micromobility 50%, Logistics 43%, GBFS 36%, Fleet Management 29%, Delivery 29%, Food Delivery 29%, Last Mile Delivery 29%, E-Bikes 29%, Shared Mobility 29%, E-Scooter 29%
Tag groupsLogistics 100%, Smart Cities 50%, Ride Hailing 21%
IndustriesMobility & Fleet 93%, Transportation 57%, Logistics 43%, Supply Chain & Procurement 36%, Food Delivery 29%
CapabilitiesFleet & Mobile Asset Management 21%, Supply Chain Management 21%

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.

gravity 2 · other companies invest to build on it

ProviderDepthIntegrationsIn / outUnknown builderDistributioniPaaS bridgeMix
Samsara 54.4 376 369 / 7 0 0 3 partner-built 98%, ipaas-bridge 1%, standard 1%
Doordash 51.8 28 22 / 6 0 2 0 partner-built 79%, standard 7%, covered 4%, builds-on-platform 4%, distribution 7%

builds-on 1 · publishes apps on other platforms' stores

ProviderDepthIntegrationsIn / outUnknown builderDistributioniPaaS bridgeMix
Grubhub 51.7 4 0 / 4 0 0 0 standard 25%, builds-on-platform 75%

standard 11 · listed by a voluntary standard's own directory

ProviderDepthIntegrationsIn / outUnknown builderDistributioniPaaS bridgeMix
Bolt 51.7 3 0 / 3 0 0 0 standard 100%
Lime 51.7 3 0 / 3 0 0 0 standard 100%
Bird 48.3 5 0 / 5 0 0 0 standard 80%, coverage 20%
Lyft 44.1 6 0 / 6 0 2 0 standard 67%, distribution 33%
Dott 34.5 thin 2 0 / 2 0 0 0 standard 100%
Getaround 34.5 thin 2 0 / 2 0 0 0 standard 100%
Voi 34.5 thin 2 0 / 2 0 0 0 standard 100%
Kiwibot 17.2 thin 1 0 / 1 0 0 0 standard 100%
Sixt 17.2 thin 1 0 / 1 0 0 0 standard 100%
Starship Technologies 17.2 thin 1 0 / 1 0 0 0 standard 100%
Superpedestrian 17.2 thin 1 0 / 1 0 0 0 standard 100%

Generated 2026-10-24 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.