# Lotus

**Canonical:** https://apis.io/providers/lotus/  
**Website:** https://lotus.ai/  
**APIs profiled:** 0

Lotus (Lotus Health AI) is a consumer healthcare company delivering AI-driven medical care backed by real physicians through an iOS app. The service offers an AI Doctor that analyzes a member's health, prescriptions sent to any U.S. pharmacy, lab orders across 6,000+ test sites, centralized medical-record storage, and 24/7 care. Founded by KJ Dhaliwal (CEO) and Zekka Nelson (CTO) with clinicians from UCLA Health, UCSF, and Johns Hopkins, and backed by CRV among others. As of this enrichment pass Lotus publishes no public developer/API surface: no developer portal, API documentation, OpenAPI, well-known discovery, or security.txt were found. Only an end-user Intercom help center and a careers page are public.

## Kin Score — 4.3 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 4.3).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 4.8 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

Regulatory layer — **Health**: 7.5 (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)

- **Lotus Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Healthcare, Health, Artificial Intelligence, Telehealth, Digital Health, Consumer App

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