# Doctor on Demand

**Canonical:** https://apis.io/providers/doctor-on-demand/  
**Website:** https://doctorondemand.com  
**APIs profiled:** 0

Doctor on Demand is a telehealth platform offering 24/7 virtual medical care through video visits with board-certified clinicians. Services span urgent care, mental health therapy, psychiatry, primary care, and preventive health, with prescriptions routed to local pharmacies. Now part of Included Health, it serves consumers directly and through employer and health-plan benefit programs. It was surfaced as a portfolio company of a16z, GV, and Shasta Ventures. As of this enrichment pass Doctor on Demand publishes no public developer or partner API program; this profile carries the company identity and probed domain-security posture only.

## Kin Score — 13.1 / 100 (emerging)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 13.1).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 34.2 |
| Access Clarity | 34.2 |

Regulatory layer — **Health**: 17.5 (matched via tags).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Doctor On Demand Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Telehealth, Telemedicine, Healthcare, Digital Health, Mental Health, Virtual Care

---

Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/doctor-on-demand/). Scores are computed from the provider's own public artifacts under a published rubric.