Evertrain

Evertrain provides a platform that lets users bring their own AI models to coach personal fitness and health. The app captures detailed workout data—including sets, reps, RIR, sleep, mood, and cardio—allowing the AI to generate personalized training programs, track progress, and explain its reasoning. Users can connect large language models such as Claude or ChatGPT, and the system logs every change with a transparent feed. Evertrain emphasizes privacy, giving users control over data and token access, and offers tools for injury prevention, preference learning, and performance optimization.

Evertrain is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Fitness, Health, and Training.

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17.3/100 emerging Agent 3/100 human only Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessFreeOpen⚡ Free to try

1 API

Company Artificial Intelligence Fitness Health Training

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 17.3/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 0.0 / 17

Access Clarity 8.3 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 5.6 / 9

Regulatory Posture 2.8 / 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 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 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 Ask about this →
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey) Ask about this →
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) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →

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 Ask about this →
Developer Ergonomics scores 0.0 — up to +20.0 composite points Ask about this →
Operational Transparency scores 0.0 — up to +13.0 composite points Ask about this →

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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/evertrain-app/apis.yml: open an issue on github.com/api-evangelist/evertrain-app 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.

Evertrain API

Internal API used by Evertrain web app for waitlist and other functions (e.g., POST /api/waitlist). Not publicly documented.

Evertrain API pricing

Prices published by Evertrain. A free plan or tier is listed.

Plan	Price
Free	Free
Evertrain Connect	Paid subscription

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Evertrain Plans Pricing

2 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Evertrain Rate Limits

0 limits

RATE LIMITS

Terms of Service 1

What its API terms permit and prohibit, quoted from its own page.

Evertrain

10 quoted statements, read from Evertrain's own page on 2026-11-09.

TERMS

Privacy & Data 1

Its role, the data it processes, retention and transfers, quoted from its own privacy page.

Evertrain

31 quoted statements, read from Evertrain's own page on 2026-11-09.

PRIVACY

Eligibility 1

Who may sign up and where, quoted from its own terms.

Evertrain

3 quoted statements, read from Evertrain's own page on 2026-11-09.

ELIGIBILITY

AI Preferences 1

Its stance on AI training, inference and agents, quoted from its own pages.

Evertrain

1 quoted statement, read from Evertrain's own page on 2026-11-09.

AI PREFS

Data License 1

How its data and outputs may be reused, quoted from its own terms.

Evertrain

2 quoted statements, read from Evertrain's own page on 2026-11-09.

LICENSE

Security Posture 2

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

Evertrain Authentication

0 schemes

SECURITY

Evertrain Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Evertrain Scopes

OAuth 2.0 · no documented scopes

0 scopes

SCOPES

Resources

Documentation 1

Reference material describing how the API behaves

AIPreferences

AIPreferences

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 5

Pricing, plans, and the legal terms of use

Plans

PrivacyPolicy

TermsOfService

UsageTerms

DataLicense

Company 1

The organization behind the API

Website

Website

Other 4

Properties that don't map to a standard resource type

Hosts

Vendors

DataProcessing

Eligibility

Source (apis.yml)

aid: evertrain-app
name: Evertrain
description: Evertrain provides a platform that lets users bring their own AI models to coach personal fitness and health.
  The app captures detailed workout data—including sets, reps, RIR, sleep, mood, and cardio—allowing the AI to generate personalized
  training programs, track progress, and explain its reasoning. Users can connect large language models such as Claude or
  ChatGPT, and the system logs every change with a transparent feed. Evertrain emphasizes privacy, giving users control over
  data and token access, and offers tools for injury prevention, preference learning, and performance optimization.
url: https://artifacts.apis.io/evertrain-app/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-07 (modular-v1; was harvest)
accessModel:
  pricing: free
  onboarding: open
  trial: false
  try_now: true
  public: true
  gated: none
  gated_source:
  - onboarding
  label: Free · Open access
  confidence: medium
  probe_state: gated
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-13'
  method: derived
specificationVersion: '0.20'
created: '2026-11-07'
modified: '2026-11-07'
tags:
- Company
- Artificial Intelligence
- Fitness
- Health
- Training
tags_raw:
- Company
- AI
- Fitness
- Health
- Training
image: https://evertrain.app/favicon.svg
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/evertrain-app-plans-pricing.yml
- type: LLMsTxt
  url: llms/evertrain-app-llms.txt
- type: Hosts
  url: hosts/evertrain-app-hosts.yml
- type: Vendors
  url: vendors/evertrain-app-vendors.yml
- type: DomainSecurity
  url: security/evertrain-app-domain-security.yml
- type: Website
  url: https://evertrain.app/
- type: PrivacyPolicy
  url: https://evertrain.app/privacy/
- type: TermsOfService
  url: https://evertrain.app/terms/
- type: UsageTerms
  url: terms/evertrain-app-terms-of-service.yml
- type: DataProcessing
  url: privacy/evertrain-app-privacy-policy.yml
- type: Eligibility
  url: eligibility/evertrain-app-eligibility.yml
- type: AIPreferences
  url: ai-preferences/evertrain-app-ai-preferences.yml
- type: DataLicense
  url: data-license/evertrain-app-data-license.yml
apis:
- name: Evertrain API
  description: Internal API used by Evertrain web app for waitlist and other functions (e.g., POST /api/waitlist). Not publicly
    documented.
  humanURL: https://evertrain.app/
  baseURL: https://evertrain.app/api
  aid: evertrain-app:evertrain-api
x-coverage:
  state: gated
  reason: auth-required
  detail: API endpoints like POST /api/waitlist exist but are undocumented and require POST, making the API gated behind authentication.
  evidence:
  - url: https://evertrain.app/api/waitlist
    status: 405
  checked: '2026-11-07'
x-enrichment:
  date: '2026-11-07'
  status: enriched
  artifacts_added: 24
  pass: modular-v1
  engine: identity=oss,contract=oss,surfaces=oss,docs=oss,regulatory=oss

Evertrain API — frequently asked questions

Does Evertrain have an API?

Yes. APIs.io lists 1 API from Evertrain, including Evertrain API.

How do I authenticate with the Evertrain API?

Evertrain documents its authentication (0 schemes). The details are profiled on APIs.io as Evertrain Authentication.

How much does the Evertrain API cost?

Evertrain publishes its prices; its Evertrain Connect plan is Paid subscription as of 2026-11-07. APIs.io lists 2 pricing plans for Evertrain, with each plan's price, limits and inclusions under Pricing on this page.

Is the Evertrain API ready for AI agents?

Evertrain has a Kin Score of 17.3 out of 100 (emerging) and an Agent Readiness score of 2.5 (human-only), scored by API Evangelist on 2026-11-13.

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