# Gebeya

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

Gebeya is an Ethiopian talent-cloud and marketplace technology company headquartered in Addis Ababa, founded in 2016 by Amadou Daffe and Hiruy Amanuel. It trains, vets, and connects African tech talent with organizations, and provides a Marketplace-as-a-Service platform (Gebeya-Jenga) that lets entrepreneurs launch branded, multi-tenant service marketplaces with built-in payments and analytics. Its current products include Dala Studio and Jitume, applying LLMs and proprietary data to build AI agents and workforce-intelligence tools for the African digital economy. Gebeya is backed by Partech. As of this profiling it publishes no public developer API, OpenAPI specification, or SDK.

## Kin Score — 11.7 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 11.7).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 7.1 |
| 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)

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

## Tags

Company, Marketplace, Talent, Africa, Software-as-a-Service, Marketplace as a Service, Artificial Intelligence, Ethiopia

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