# Aavia

**Canonical:** https://apis.io/providers/aavia/  
**APIs profiled:** 1

Aavia offers a cycle symptom relief platform that helps users track, learn, and understand their hormones to alleviate menstrual cycle symptoms. The service provides personalized insights, community support, and a marketplace for related products. It emphasizes privacy, offers a blog, and integrates with mobile apps on iOS and Android. The company positions itself as a comprehensive cycle planner and tracker, aiming to improve women's health and wellbeing throughout their menstrual cycle.

## Kin Score — 4.6 / 100 (minimal)

Scored 2026-10-23 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 0.0 |

Regulatory layer — **Health**: 4.7 (matched via tags).

## Agent readiness — 7.6 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| 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 |
| Delegated Identity | no |
| Protected Resource Metadata | verified |
| Dynamic Client Registration | no |
| Agentic Commerce | platform |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## APIs (1)

- **Aavia API** — Aavia provides a cycle symptom relief platform with no publicly documented machine‑readable API. The website is a Shopify storefront with no OpenAPI, GraphQL, AsyncAPI, gRPC or ...

## Security (1)

- **Aavia Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

Health, Women's Health, Cycle Tracking, Wellness, Mobile App

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