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

5.0/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Retail Artificial Intelligence Machine-LearningAssortment OptimizationRetail AnalyticsCategory Management

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 5.0/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.0 / 20

Access Clarity 0.0 / 20

Operational Transparency 0.0 / 13

Contract Governance 0.0 / 12

Discoverability 5.0 / 10

Agent readiness — 0/100 · 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 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

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.

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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)

aid: retailigence
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
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: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Retail
- Artificial Intelligence
- Machine-Learning
- Assortment Optimization
- Retail Analytics
- Category Management
tags_raw:
- 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

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