Retailigence

Retailigence is a retail technology company that applies artificial intelligence and machine learning to category management and store operations. Its ML Engine powers an AI suite for assortment optimisation, space modelling, store clustering, customer segmentation, and an X-Ray control-tower hub (web and mobile) that tracks and helps remove in-store operational issues. The platform is delivered as a proof-of-concept engagement rather than a public self-serve developer API. Retailigence was surfaced as a portfolio company of 500 Global and added to the API Evangelist network for enrichment.

Retailigence is profiled on the APIs.io network. Tagged areas include Company, Retail, Artificial Intelligence, Machine Learning, and Assortment Optimization.

🌐 Visit website 📡 Source on GitHub
6.8/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyRetailArtificial IntelligenceMachine LearningAssortment OptimizationRetail AnalyticsCategory Management

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 6.8/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.0 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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 0 / 4
Consent & Bot Identity 0 / 3
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/retailigence: 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.

Retailigence Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Company 1

The organization behind the API

Website
Website

Source (apis.yml)

apis.yml Raw ↑ 
aid: retailigence
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/retailigence.png
name: Retailigence
description: Retailigence is a retail technology company that applies artificial intelligence and machine learning to category
  management and store operations. Its ML Engine powers an AI suite for assortment optimisation, space modelling, store clustering,
  customer segmentation, and an X-Ray control-tower hub (web and mobile) that tracks and helps remove in-store operational
  issues. The platform is delivered as a proof-of-concept engagement rather than a public self-serve developer API. Retailigence
  was surfaced as a portfolio company of 500 Global and added to the API Evangelist network for enrichment.
url: https://raw.githubusercontent.com/api-evangelist/retailigence/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: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Retail
- Artificial Intelligence
- Machine Learning
- Assortment Optimization
- Retail Analytics
- Category Management
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/retailigence-domain-security.yml
- type: Website
  url: https://retailigence.com
x-enrichment:
  date: '2026-07-20'
  status: minimal
  artifacts_added: 1
  pass: local-v1