# Decorte Future Industries

**Canonical:** https://apis.io/providers/decortefutureindustries-com/  
**Website:** https://decortefutureindustries.com/  
**APIs profiled:** 0

Decorte Future Industries is a Cambridge, UK‑based deep‑tech company that extracts complex health data from sound. Leveraging advanced acoustic analytics, the firm transforms audio signals from medical devices into actionable health insights. As of June 2026 the platform has processed over 3,200 scans, managing data for more than 1,000 patients and supporting hundreds of veterinary clinics. The company focuses on innovative health monitoring solutions for both human and animal care.

## Kin Score — 5.1 / 100 (minimal)

Scored 2026-10-31 under rubric 0.25.0.

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

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 15.7 (matched via fallback).

## Agent readiness — 2.9 (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 | yes |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## Security (2)

- **Decortefutureindustries Com Authentication** — 0 schemes
- **Decortefutureindustries Com Domain Security** — TLSv1.3 · HSTS

## Tags

Company, HealthTech, DeepTech, UK, Cambridge, AudioAnalytics

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