# Akido Labs

**Canonical:** https://apis.io/providers/akido-labs/  
**Website:** https://www.akidolabs.com/  
**APIs profiled:** 0

Akido Labs is a Los Angeles-based healthcare technology company re-engineering care delivery with artificial intelligence. Its flagship system, Scope AI, is a clinical decision support platform trained on large volumes of healthcare data using reinforcement learning with human feedback (RLHF) to help physicians reach efficient diagnoses, order the right diagnostics, personalize treatment, and forecast health risks. Providers use Scope AI through the Akido Chart EMR to expand capacity for primary care and specialty visits. Akido also operates Akido Medical, a care network spanning dozens of locations and hundreds of providers serving hundreds of thousands of patients, with an emphasis on underserved and street-medicine populations. The company is venture-backed (including a Series B led by Oak HC/FT) and does not currently publish a public developer API surface.

## Kin Score — 9.9 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 9.9).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

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)

- **Akido Labs Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Healthcare, Artificial Intelligence, Clinical Decision Support, Primary Care, Health Technology, Machine-Learning, Medical

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