# RetailNext

**Canonical:** https://apis.io/providers/retailnext/  
**Website:** https://retailnext.net/  
**APIs profiled:** 0

RetailNext is an AI-powered in-store retail analytics platform that helps physical retailers understand shopper behavior and optimize store operations. Its product suite spans traffic analytics (real-time foot-traffic counting and benchmarking across locations), shopper journey and zone insights (which layouts convert and where shoppers are lost), asset protection and loss prevention that combines video intelligence with shopper analytics, and Pulse AI, a conversational layer for answering retail questions in plain language. The platform is used by 600+ retailers across 100+ countries, including brands such as Macy's, Sephora, and Calvin Klein. RetailNext is a Battery Ventures portfolio company. It maintains a public GitHub organization of open-source infrastructure tooling and publishes a responsible-disclosure security program, but does not currently expose a publicly documented developer API or portal.

## Kin Score — 15.6 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+1.1 from 14.5).

| Facet | Score |
|---|---|
| Discoverability | 61.1 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 13.2 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 31.6 |
| Access Clarity | 31.6 |

## Agent readiness — 2.6 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | yes |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (2)

- **Retailnext Domain Security** — TLSv1.3 · HSTS · DMARC
- **Retailnext Vulnerability Disclosure** — security.txt · contact published

## Tags

Company, Retail, Retail Analytics, In-Store Analytics, Shopper Analytics, Foot Traffic, Loss Prevention, Computer-Vision, Physical Retail

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/retailnext/). Scores are computed from the provider's own public artifacts under a published rubric.