# Zaapi

**Canonical:** https://apis.io/providers/zaapi/  
**Website:** https://www.zaapi.com/  
**APIs profiled:** 0

Zaapi is an all-in-one conversational AI and chat-commerce platform built for Southeast Asia's micro, small, and medium-sized e-commerce sellers. Founded in 2021 by Wilfried Buiron and launched in Thailand, Zaapi unifies customer conversations from Facebook, Instagram, LINE, WhatsApp, TikTok Shop, Shopee, Lazada, email, and a seller's own website into a single shared inbox, then layers AI agents, automations, broadcast campaigns, and analytics on top to turn those channels into revenue. It is backed by Partech, Global Founders Capital, and Flourish Ventures. As of this profile Zaapi exposes no public developer API, OpenAPI specification, SDK, or developer portal; webhook connectivity was signalled on the product roadmap but is not yet published.

## Kin Score — 15.4 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 15.4).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 44.7 |
| Access Clarity | 44.7 |

## 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).

## Tags

Company, Applicative Saas, Conversational AI, Chat Commerce, Customer Communication, E-Commerce, Omnichannel Messaging, Southeast Asia, SME

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