# AIm Workout Journal

**Canonical:** https://apis.io/providers/aim-journal-com/  
**Website:** https://aim-journal.com/  
**APIs profiled:** 1

AIm Workout Journal is an AI‑powered fitness tracking platform that lets users log workouts, set goals, and receive personalized training programs via Claude or ChatGPT. Users sign up with an email link, connect their AI assistant, and the service records each set, offering charts, progress maps, and data export options. The app runs on the Model Context Protocol (MCP) enabling seamless read/write access for AI assistants, with automatic daily backups and secure data handling.

## Kin Score — 10.3 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0. Trend: flat (-2.7 from 13.0).

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 19.0 |
| Access Clarity | 5.3 |

Regulatory layer — **Health**: 10.3 (matched via tags).

## Agent readiness — 2.5 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | bearer |
| 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 | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## APIs (1)

- **Aim Journal API** — API for Aim Journal fitness platform providing workout logging and AI personalization.

## Security (2)

- **Aim Journal Com Authentication** — 1 scheme
- **Aim Journal Com Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Fitness, Artificial Intelligence, Workouts, Health, Personalization

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