Tonal

Tonal is a connected fitness company founded in 2013 by Aly Orady and headquartered in San Francisco, best known for its wall-mounted smart home gym that uses digital weight (electromagnetic resistance) and AI-powered coaching to deliver personalized strength training. The Tonal 2 hardware pairs with a subscription membership offering adaptive weight adjustment, science-backed workout programs, live and on-demand classes, and progress tracking. Tonal publishes no first-party developer API, but its Shopify-hosted storefront exposes an agent-commerce surface: an llms.txt, a Universal Commerce Protocol (UCP) merchant profile at /.well-known/ucp, and an MCP endpoint for agent-driven shopping.

Tonal is profiled on the APIs.io network. Tagged areas include Company, Health Wellness, Fitness, Strength Training, and Connected Fitness.

Tonal’s developer surface includes engineering blog, support, pricing, and 15 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

18.0/100 emerging ▬ flat Agent 14/100 agent aware Front door AI 3/6 light Heartbeat 31/100 slowing saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs 1 MCP Servers

Company Health Wellness Fitness Strength Training Connected FitnessHome GymCoaching Wellness

Kin Score

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

Composite quality — 18.0/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 0.4 / 17

Access Clarity 6.5 / 17

Operational Transparency 2.0 / 11

Contract Governance 0.5 / 10

Discoverability 5.0 / 9

Regulatory Posture 2.9 / 15

Agent readiness — 14/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 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 6 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 5 / 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
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
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

9 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
Developer Ergonomics scores 2.4 — up to +19.5 composite points
Access Clarity scores 38.2 — up to +12.4 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/tonal/apis.yml: open an issue on github.com/api-evangelist/tonal 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 →

Standards implemented 2

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (platform)

Universal Commerce Protocol (UCP)

measured — observed by APIs.io (shopify)

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Tonal MCP Server

Remote MCP server at tonal.com over HTTP; 5 tools listed.

MCP SERVER

Security Posture 1

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

Tonal Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Lifecycle

Lifecycle

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

Support

Support

StatusPage

StatusPage

Contact

Contact

Commercial 3

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Pricing

Pricing

Company 4

The organization behind the API

BlogRSS

Website

Blog

Careers

Source (apis.yml)

aid: tonal
name: Tonal
description: 'Tonal is a connected fitness company founded in 2013 by Aly Orady and headquartered in San Francisco, best known
  for its wall-mounted smart home gym that uses digital weight (electromagnetic resistance) and AI-powered coaching to deliver
  personalized strength training. The Tonal 2 hardware pairs with a subscription membership offering adaptive weight adjustment,
  science-backed workout programs, live and on-demand classes, and progress tracking. Tonal publishes no first-party developer
  API, but its Shopify-hosted storefront exposes an agent-commerce surface: an llms.txt, a Universal Commerce Protocol (UCP)
  merchant profile at /.well-known/ucp, and an MCP endpoint for agent-driven shopping.'
url: https://raw.githubusercontent.com/api-evangelist/tonal/refs/heads/main/apis.yml
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/tonal.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- kindred-ventures
- sapphire-ventures
- shasta-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 9
  pass: local-v1
created: '2026-07-17'
modified: '2026-10-06'
tags:
- Company
- Health Wellness
- Fitness
- Strength Training
- Connected Fitness
- Home Gym
- Coaching
- Wellness
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- url: https://tonal.com/blogs/all.atom
  type: BlogRSS
- type: Website
  url: https://tonal.com/
- type: Blog
  url: https://tonal.com/blogs/all
- type: Support
  url: https://knowledge.tonal.com/s/
- type: GitHubOrganization
  url: https://github.com/TonalFitness
- type: StatusPage
  url: https://status.tonal.com
- type: TermsOfService
  url: https://tonal.com/pages/tonal-legal-terms
- type: PrivacyPolicy
  url: https://tonal.com/pages/tonal-privacy-policies
- type: Pricing
  url: https://tonal.com/pages/membership
- type: Login
  url: https://tonal.com/account
- type: Careers
  url: https://tonal.com/pages/careers
- type: Contact
  url: https://tonal.com/pages/contact
- type: MCPServer
  url: mcp/tonal-mcp.yml
- type: LLMsTxt
  url: llms/tonal-llms.txt
- type: WellKnown
  url: well-known/tonal-well-known.yml
- type: Conformance
  url: conformance/tonal-conformance.yml
- type: Lifecycle
  url: lifecycle/tonal-lifecycle.yml
- type: DomainSecurity
  url: security/tonal-domain-security.yml

Tonal API — frequently asked questions

Does Tonal have an MCP server?

Yes. APIs.io lists 1 MCP server for Tonal: Remote MCP server at tonal.com over HTTP; 5 tools listed.

Is the Tonal API ready for AI agents?

Tonal has a Kin Score of 18.0 out of 100 (emerging) and an Agent Readiness score of 13.8 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

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