# Barakah

**Canonical:** https://apis.io/providers/barakah/  
**Website:** https://barakah.app  
**APIs profiled:** 0

Barakah is a Saudi foodtech company operating a consumer mobile marketplace that fights food waste by connecting restaurants, cafes, hotels, bakeries, and grocery retailers with consumers who buy their surplus, still-fresh meals and food products at discounts of up to 70 percent for pickup or delivery. Founded in Jeddah and backed by 500 Global, FoodLabs, and Salica Investments, Barakah has grown into one of the most downloaded food and drink apps in Saudi Arabia with partnerships across more than 800 merchants, including global brands. Barakah is a business-to-consumer mobile application and does not currently publish a public developer platform, API, or SDK; this profile captures its identity and public web surface.

## Kin Score — 7.6 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 7.6).

| 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 | 13.2 |
| Access Clarity | 13.2 |

## 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)

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

## Tags

Company, Food Tech, Food Waste, Sustainability, Marketplace, Mobile App, Saudi Arabia, Food Delivery

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