AIm Workout Journal

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.

AIm Workout Journal is listed with 1 API on the APIs.io network. Tagged areas include Fitness, Artificial Intelligence, Workouts, Health, and Personalization.

AIm Workout Journal’s developer surface includes authentication, documentation, support, and 6 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

10.3/100 minimal ▬ flat Agent 3/100 human only Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 API

Fitness Artificial Intelligence Workouts Health Personalization

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 10.3/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 3.2 / 17

Access Clarity 0.9 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.9 / 9

Regulatory Posture 1.5 / 15

Agent readiness — 3/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Health regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

12 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Access Clarity scores 5.3 — up to +18.9 composite points
Developer Ergonomics scores 19.0 — up to +16.2 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/aim-journal-com/apis.yml: open an issue on github.com/api-evangelist/aim-journal-com to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Aim Journal API

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

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Aim Journal Com Authentication

1 scheme

SECURITY

Aim Journal Com Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: aim-journal-com
name: AIm Workout Journal
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: unreadable
  source:
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://aim-journal.com/og/landing-en.png
description: 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.
url: https://artifacts.apis.io/aim-journal-com/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-01 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-01'
modified: '2026-11-01'
tags:
- Fitness
- Artificial Intelligence
- Workouts
- Health
- Personalization
tags_raw:
- Fitness
- AI
- Workout
- Health
- Personalization
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Authentication
  url: authentication/aim-journal-com-authentication.yml
- type: LLMsTxt
  url: llms/aim-journal-com-llms.txt
- type: Hosts
  url: hosts/aim-journal-com-hosts.yml
- type: Vendors
  url: vendors/aim-journal-com-vendors.yml
- type: DomainSecurity
  url: security/aim-journal-com-domain-security.yml
- type: Website
  url: https://aim-journal.com/
- type: Documentation
  url: https://aim-journal.com/guides/en/
- type: PrivacyPolicy
  url: https://aim-journal.com/privacy/
- type: Support
  url: https://aim-journal.com/support/
apis:
- name: Aim Journal API
  description: API for Aim Journal fitness platform providing workout logging and AI personalization.
  humanURL: https://aim-journal.com/guides/en/
  aid: aim-journal-com:aim-journal-api
x-coverage:
  state: unreadable
  reason: js-rendered-docs
  detail: Documentation pages are rendered via JavaScript, preventing machine‑readable spec discovery.
  evidence:
  - url: https://aim-journal.com/guides/en/
    status: 200
  checked: '2026-11-01'
x-enrichment:
  date: '2026-11-01'
  status: enriched
  artifacts_added: 10
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

AIm Workout Journal API — frequently asked questions

Does AIm Workout Journal have an API?

Yes. APIs.io lists 1 API from AIm Workout Journal, including Aim Journal API.

How do I authenticate with the AIm Workout Journal API?

AIm Workout Journal uses bearer-token authentication (1 scheme). The details are profiled on APIs.io as Aim Journal Com Authentication.

Is the AIm Workout Journal API ready for AI agents?

AIm Workout Journal has a Kin Score of 10.3 out of 100 (minimal) and an Agent Readiness score of 2.5 (human-only), scored by API Evangelist on 2026-11-06.

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