# Wanderu

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

Wanderu is a ground-travel metasearch and booking platform - a Kayak-style aggregator that lets travelers search, compare, and book intercity bus and train tickets (plus flights and ferries) across hundreds of carriers in North America and Europe, including Amtrak, Greyhound, FlixBus, Megabus, Peter Pan, VIA Rail, and Deutsche Bahn. Its routing technology stitches together multi-operator bus-and-train itineraries, and bookings are completed in-platform with carriers paying a percentage of each fare. Wanderu operates a private booking/search API and publishes no public developer program, SDKs, or OpenAPI; its public open-source presence is internal engineering tooling on GitHub (the redis-backed "bamboo" queuing system). Backed by 500 Global.

## Kin Score — 10.5 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 10.5).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 4.8 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

## 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)

- **Wanderu Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Travel, Transportation, Bus, Train, Booking, Metasearch, Ticketing

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