# Thesis

**Canonical:** https://apis.io/providers/thesis/  
**Website:** https://thesiscare.com/  
**APIs profiled:** 0

Thesis Care is a healthcare AI company that deploys clinical support agents backed by expert clinicians — nurses and care managers — to help physician groups, health systems, and health plans scale care management, care delivery, and clinical operations. Its platform pairs automation with human clinical oversight so work gets done end-to-end to deliver outcomes rather than create more work, handling the complex cases and edge scenarios that pure technology cannot. The company is SOC 2 Type II and HIPAA compliant and has announced a Series A round. Thesis Care publishes no public API or developer surface at this time; this API Evangelist profile captures the company's identity, security posture, and published compliance program.

## Kin Score — 18.9 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 18.9).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 18.2 |
| Contract Governance | 18.2 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 50.0 |
| Access Clarity | 50.0 |

Regulatory layer — **Health**: 30.0 (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 (2)

- **Thesis Domain Security** — TLSv1.3 · DMARC
- **Thesis Trust Center** — SOC 2, HIPAA

## Tags

Company, Healthcare, Artificial Intelligence, Clinical, Care Management, Health Plans, AI Agents

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