Teikametrics

Teikametrics is a Boston-based commerce optimization company founded by Alasdair McLean-Foreman that builds ARI (Artificial Retail Intelligence), an AI platform for brands and sellers operating on Amazon, Walmart and TikTok Shop. The platform ingests advertising, catalog, sales and inventory data pulled from marketplace APIs (Amazon Advertising, Amazon Selling Partner, Walmart Marketplace and Ads, TikTok Shop) and applies retail-trained models to bid management, keyword harvesting, listing and feed optimization, demand forecasting and profit-based reporting. Product surfaces include Compass dashboards, the Recommendation Hub, Product Catalog, Advertising Optimization, Inventory Optimization, Market IQ and Business Intelligence, plus an Agency Edition with nested client accounts. Teikametrics is an API consumer rather than an API producer: as of this profiling pass it publishes no public developer portal, no OpenAPI or other machine-readable contract, and no customer-facing API reference — integration happens through OAuth-style marketplace channel connections made inside the application.

Teikametrics is profiled on the APIs.io network. Tagged areas include Company, Advertising, Retail, E-Commerce, and Marketplaces.

Teikametrics’ developer surface includes documentation, support, engineering blog, pricing, signup flow, and 13 more developer resources.

🌐 Visit website 📡 Source on GitHub
16.8/100 emerging ▬ flat Agent 3/100 human only Full breakdown ↓
scored 2026-08-25 · rubric v0.14.0
0 APIs
CompanyAdvertisingRetailE-CommerceMarketplacesArtificial IntelligenceAnalyticsAmazonWalmartInventory

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-25 · rubric v0.14.0
Composite quality — 16.8/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 3.3 / 20
Access Clarity 6.3 / 20
Operational Transparency 0.3 / 13
Contract Governance 0.0 / 12
Discoverability 6.9 / 10
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 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 4 / 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 Surface 0 / 5
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/teikametrics: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

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

Teikametrics Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

SignUp
SignUp
 Login
Login

Documentation 1

Reference material describing how the API behaves

Documentation
Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt
LLMsTxt

Build 2

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization
 Packages
Packages

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Operate 3

Status, limits, changes, and where to get help

Support
Support
 HelpCenter
HelpCenter
 Contact
Contact

Commercial 3

Pricing, plans, and the legal terms of use

Pricing
Pricing
 TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 4

The organization behind the API

Website
Website
 Blog
Blog
 Careers
Careers
 About
About

Other 1

Properties that don't map to a standard resource type

SecondaryMarket
SecondaryMarket

Source (apis.yml)

apis.yml Raw ↑ 
aid: teikametrics
name: Teikametrics
description: 'Teikametrics is a Boston-based commerce optimization company founded by Alasdair McLean-Foreman that builds
  ARI (Artificial Retail Intelligence), an AI platform for brands and sellers operating on Amazon, Walmart and TikTok Shop.
  The platform ingests advertising, catalog, sales and inventory data pulled from marketplace APIs (Amazon Advertising, Amazon
  Selling Partner, Walmart Marketplace and Ads, TikTok Shop) and applies retail-trained models to bid management, keyword
  harvesting, listing and feed optimization, demand forecasting and profit-based reporting. Product surfaces include Compass
  dashboards, the Recommendation Hub, Product Catalog, Advertising Optimization, Inventory Optimization, Market IQ and Business
  Intelligence, plus an Agency Edition with nested client accounts. Teikametrics is an API consumer rather than an API producer:
  as of this profiling pass it publishes no public developer portal, no OpenAPI or other machine-readable contract, and no
  customer-facing API reference — integration happens through OAuth-style marketplace channel connections made inside the
  application.'
image: https://www.teikametrics.com/wp-content/uploads/2026/01/Teikametrics-logo.svg
url: https://raw.githubusercontent.com/api-evangelist/teikametrics/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
x-tier: profiled
x-tier-reason: enrichment-pass-no-public-api
specificationVersion: '0.23'
created: '2026-08-02'
modified: '2026-08-02'
tags:
- Company
- Advertising
- Retail
- E-Commerce
- Marketplaces
- Artificial Intelligence
- Analytics
- Amazon
- Walmart
- Inventory
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/teikametrics-domain-security.yml
- type: Website
  url: https://www.teikametrics.com/
- type: Documentation
  url: https://help.teikametrics.com/en/
- type: Support
  url: https://help.teikametrics.com/en/
- type: HelpCenter
  url: https://help.teikametrics.com/en/
- type: Blog
  url: https://www.teikametrics.com/blog/
- type: Pricing
  url: https://www.teikametrics.com/pricing/
- type: SignUp
  url: https://app.teikametrics.com/
- type: Login
  url: https://app.teikametrics.com/
- type: TermsOfService
  url: https://www.teikametrics.com/terms-conditions/
- type: PrivacyPolicy
  url: https://www.teikametrics.com/privacy/
- type: GitHubOrganization
  url: https://github.com/teikametrics
- type: Careers
  url: https://www.teikametrics.com/careers/
- type: Contact
  url: https://www.teikametrics.com/contact-us/
- type: About
  url: https://www.teikametrics.com/company/
- type: SecondaryMarket
  url: https://forgeglobal.com/teikametrics_stock/
- type: LLMsTxt
  url: llms/teikametrics-llms.txt
- type: Packages
  url: packages/teikametrics-packages.yml
x-enrichment:
  date: '2026-08-02'
  status: enriched
  artifacts_added: 5
  pass: local-v1
x-contract-discovery:
  date: '2026-08-02'
  result: no-machine-readable-contract
  detail: well-known/teikametrics-well-known.yml
  note: Teikametrics is an API consumer (Amazon Advertising, Amazon SP-API, Walmart Marketplace/Ads, TikTok Shop), not an
    API producer. No developer portal, API reference, OpenAPI/Swagger/GraphQL/AsyncAPI/gRPC contract, MCP server or A2A agent
    card was found on any host; api./developer./docs.teikametrics.com are NXDOMAIN. Per the pipeline's no-fabrication rule,
    no spec-dependent artifacts (openapi, overlays, errors, conventions, authentication, scopes, skills, mcp, crosswalk, data-model,
    agentic-access, arazzo) were authored, and no a2a/ artifact was authored on the provider's behalf.

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