# Revie

**Canonical:** https://apis.io/providers/revie/  
**Website:** https://revie.lat  
**APIs profiled:** 0

Revie is an AI-powered customer review collection and WhatsApp marketing automation platform for e-commerce businesses, with a focus on the Latin American market. It requests and collects product reviews over WhatsApp (in text, photo, video, and voice-note formats) after a purchase, then applies AI sentiment analysis and keyword grouping to surface customer feedback in a dashboard. Revie also powers WhatsApp marketing campaigns, customer segmentation, and discount incentives, and integrates with Shopify, Tienda Nube, and VTEX storefronts. The company exposes no public developer API or SDK; its product is delivered as installable storefront apps.

## Kin Score — 22.2 / 100 (emerging)

Scored 2026-08-19 under rubric 0.12.0. Trend: flat (+0.3 from 21.9).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 16.7 |
| Commercial Clarity | 65.8 |
| Access Clarity | 65.8 |

## Agent readiness — 0.0 (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 | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

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

## Security (1)

- **Revie Domain Security** — TLSv1.3 · HSTS

## Plans (1)

- **Revie Plans Pricing**

## Tags

Company, Reviews, WhatsApp, Marketing, E-commerce, Customer Experience, Messaging, Artificial Intelligence, Shopify, Latin America

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