# Djaouad Frih

**Canonical:** https://apis.io/providers/djaouad-tech/  
**Website:** https://djaouad.tech/  
**APIs profiled:** 1

Djaouad Frih is an independent AI engineer offering AI integration, white‑label delivery, and production‑ready AI systems. He provides free reliability audits, benchmark evaluations, and fixed‑price scoped builds for teams needing trustworthy AI features. Services include retrieval layer development, agent loops, and comprehensive handover documentation, emphasizing measurement, evaluation, and transparent performance metrics.

## Kin Score — 11.3 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 21.1 |
| Developer Ergonomics | 21.4 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 5.5 (matched via fallback).

## Agent readiness — 2.9 (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 | yes |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## APIs (1)

- **Djaouad API** — API documentation is provided but no machine‑readable contract (OpenAPI/AsyncAPI/GraphQL) was found.

## Security (1)

- **Djaouad Tech Domain Security** — TLSv1.3 · HSTS

## Tags

Artificial Intelligence, Engineering, Integration, White Label, Independent

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