# reTravel.io

**Canonical:** https://apis.io/providers/retravelio/  
**Website:** https://retravel.io/  
**APIs profiled:** 0

reTravel.io is a travel retention marketing platform that uses data science and machine learning to help travel companies, TMCs, and corporates retain customers, increase attachment rates, and grow revenue from their existing clients. Founded in 2020 by Revital Kristal and Nir Gurevich in Tel Aviv, the platform extracts booking information via predefined plugins and contextually engages travelers across multiple channels with personalized, policy-compliant products. It operates on a performance-based commercial model tied to the uplift it generates and is backed by Techstars. reTravel.io exposes no public developer API, SDK, or documentation surface at this time.

## Kin Score — 6.3 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 6.3).

| 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 | 6.6 |
| Access Clarity | 6.6 |

## 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)

- **Retravelio Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Travel, Travel Technology, Marketing, Customer Retention, Machine-Learning, Personalization

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