TTRacing

TTRacing is a Malaysian gaming chair and gaming furniture brand selling ergonomic gaming chairs, office chairs, and accessories through an online Shopify storefront at ttracing.my. The store is agent-commerce ready: it publishes an llms.txt and agents.md with explicit agent instructions, a UCP (Universal Commerce Protocol) discovery document at /.well-known/ucp, and a hosted Model Context Protocol (MCP) endpoint that lets AI shopping agents search the catalog, build carts, and run buyer-approved checkout. Human customer accounts are handled via Shopify's OpenID Connect / OAuth 2.0 authorization server. Surfaced as a 500 Global portfolio company and enriched from live probes of its public agent-facing surface.

TTRacing is listed with 1 API on the APIs.io network. Tagged areas include Company, Gaming Chairs, Gaming Furniture, E-Commerce, and Retail.

🌐 Visit website 📡 Profile data on GitHub

11.2/100 emerging ▬ flat Agent 14/100 agent aware Front door AI 1/6 silent saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 API 1 MCP Servers

CompanyGaming ChairsGaming FurnitureE-Commerce Retail Agentic Commerce MCP Shopify Malaysia

Kin Score

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

Composite quality — 11.2/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 0.0 / 17

Access Clarity 3.6 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 5.4 / 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 Horizontal (data, software, accessibility, platform) 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 0.0 — up to +20.0 composite points
Access Clarity scores 21.1 — up to +15.8 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/ttracing/apis.yml: open an issue on github.com/api-evangelist/ttracing 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)

APIs 1

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

TTRacing Storefront (UCP Agent Commerce)

Agent-commerce surface for the TTRacing Shopify store: a hosted UCP shopping MCP endpoint plus unauthenticated read-only product/collection JSON browsing.

MCP Servers 1

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

TTRacing UCP Shopping MCP

Remote MCP server over streamable HTTP; 5 tools listed.

MCP SERVER

Security Posture 1

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

Ttracing Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conventions

Conventions

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: ttracing
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/ttracing.png
name: TTRacing
description: 'TTRacing is a Malaysian gaming chair and gaming furniture brand selling ergonomic gaming chairs, office chairs,
  and accessories through an online Shopify storefront at ttracing.my. The store is agent-commerce ready: it publishes an
  llms.txt and agents.md with explicit agent instructions, a UCP (Universal Commerce Protocol) discovery document at /.well-known/ucp,
  and a hosted Model Context Protocol (MCP) endpoint that lets AI shopping agents search the catalog, build carts, and run
  buyer-approved checkout. Human customer accounts are handled via Shopify''s OpenID Connect / OAuth 2.0 authorization server.
  Surfaced as a 500 Global portfolio company and enriched from live probes of its public agent-facing surface.'
url: https://raw.githubusercontent.com/api-evangelist/ttracing/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Gaming Chairs
- Gaming Furniture
- E-Commerce
- Retail
- Agentic Commerce
- MCP
- Shopify
- Malaysia
tags_raw:
- Company
- Gaming Chairs
- Gaming Furniture
- Ecommerce
- Retail
- Agent Commerce
- MCP
- Shopify
- Malaysia
apis:
- name: TTRacing Storefront (UCP Agent Commerce)
  description: 'Agent-commerce surface for the TTRacing Shopify store: a hosted UCP shopping MCP endpoint plus unauthenticated
    read-only product/collection JSON browsing.'
  humanURL: https://ttracing.my
  properties:
  - type: MCPServer
    url: mcp/ttracing-mcp.yml
  - type: LLMsTxt
    url: llms/ttracing-llms.txt
  - type: WellKnown
    url: well-known/ttracing-well-known.yml
  - type: Conventions
    url: conventions/ttracing-conventions.yml
  x-surface: platform-generated
  x-platform: shopify
  x-platform-surface: ucp
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://ttracing.my
- type: MCPServer
  url: mcp/ttracing-mcp.yml
- type: LLMsTxt
  url: llms/ttracing-llms.txt
- type: WellKnown
  url: well-known/ttracing-well-known.yml
- type: Conventions
  url: conventions/ttracing-conventions.yml
- type: DomainSecurity
  url: security/ttracing-domain-security.yml
- type: TermsOfService
  url: https://ttracing.my/policies/terms-of-service
- type: PrivacyPolicy
  url: https://ttracing.my/policies/privacy-policy
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 6
  pass: local-v1

TTRacing API — frequently asked questions

Does TTRacing have an API?

Yes. APIs.io lists 1 API from TTRacing, including TTRacing Storefront (UCP Agent Commerce).

Does TTRacing have an MCP server?

Yes. APIs.io lists 1 MCP server for TTRacing: Remote MCP server over streamable HTTP; 5 tools listed.

Is the TTRacing API ready for AI agents?

TTRacing has a Kin Score of 11.2 out of 100 (emerging) and an Agent Readiness score of 13.8 (agent-aware), scored by API Evangelist on 2026-11-06.

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