Markets · bedrock market · provisional

Digital Therapeutics (regulated, reimbursed digital health apps)

Regulated market (german diga directory, belgian mhealth validation pyramid, fda dtx 510(k) / de novo). 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.

30providers measured
0 (0.0%)declare their own
8 (26.7%)covered by others only
22 (73.3%)undeclared
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 2026-10-20 from the 30 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.

TagsDigital Therapeutics 97%, Healthcare 67%, Digital Health 40%, Health 37%, Medical Devices 33%, Mental Health 30%, Telehealth 23%, Behavioral Health 20%
Tag groupsNeuroscience 100%, Health 80%, Healthcare 77%, Mental Health 40%, Wellness 23%
IndustriesDigital Health & Telehealth 87%, Healthcare 67%, Artificial Intelligence 20%, Biotechnology & Drug Discovery 20%

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.

regulated 8 · named in a regulator's register or partners' contracts

ProviderDepthIntegrationsIn / outUnknown builderDistributioniPaaS bridgeMix
Oviva 31.6 thin 2 0 / 2 0 1 0 contract 50%, distribution 50%
Big Health 22.0 thin 1 0 / 1 0 0 0 contract 100%
Click Therapeutics 22.0 thin 1 0 / 1 0 0 0 contract 100%
Welldoc 21.5 thin 1 0 / 1 0 0 0 contract 100%
Akili 20.6 thin 1 0 / 1 0 0 0 contract 100%
AppliedVR 20.6 thin 1 0 / 1 0 0 0 contract 100%
kaiahealth 20.6 thin 1 0 / 1 0 0 0 contract 100%
Swing Therapeutics 20.6 thin 1 0 / 1 0 0 0 contract 100%

undeclared 22 · declares nothing we can read: no number

ProviderDepthIntegrationsIn / outUnknown builderDistributioniPaaS bridgeMix
Axena Health undeclared-----
Blue Note Therapeutics undeclared-----
Breathe Well-being undeclared-----
Cognito Therapeutics undeclared-----
Cyberpsyc undeclared-----
Digbi Health undeclared-----
Feel Therapeutics undeclared-----
Floreo undeclared-----
Freespira undeclared-----
Hinge Health undeclared-----
Lucid Lane undeclared-----
medmotion undeclared-----
Microhealth undeclared-----
MindMaze undeclared-----
NewDays undeclared-----
Poppins undeclared-----
Qnovia undeclared-----
Slingshot AI undeclared-----
Stellar Sleep undeclared-----
Theranica undeclared-----
Vongi Health (芝兰健康) undeclared-----
Woebot Health undeclared-----

Generated 2026-10-20 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.