# Baicai

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

Baicai (白菜二手车, "Baicai Used Cars") is a Chinese used-vehicle trading platform operating a new-retail model that pairs online used-car marketplaces with offline chain "used-car supermarket" stores. Vehicles listed on the platform are inspected by third-party agencies (100+ point checks that exclude major accident, water-damaged, and fire-damaged cars) and carry a return guarantee plus a warranty on major components. The business was spun out of and operates under 58.com (via Tianjin 58 Cloud Car / 天津五八云车) and became independently operated in 2021. It received early seed backing from Ribbit Capital. Baicai is a consumer-facing marketplace and does not publish a public developer platform, API, SDKs, or API documentation; this profile captures its identity and public web presence for the API Evangelist network.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

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

## 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)

- **Baicai Domain Security** — TLSv1.2

## Tags

Company, Automotive, Used Cars, Marketplace, E-Commerce, Consumer, China, Ribbit Capital

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