# Gaizka Jiménez

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

Gaizka Jiménez is a software developer based in Bilbao, Bizkaia. With four years of experience in software development, including two years focused on Retrieval‑Augmented Generation (RAG), agents, and production LLM pipelines, he has authored the Emap mobility map of the Basque Country available on the App Store. His personal site showcases his projects, technical blog posts, and open‑source contributions, providing insight into his expertise in modern AI‑driven software engineering.

## Kin Score — 3.7 / 100 (minimal)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 4.8 |
| Developer Ergonomics | 2.4 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 0.0 (matched via fallback).

## 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 |
| 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).

## Security (1)

- **Gaizka Jiménez Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Software, Developers, Artificial Intelligence, Bilbao, Open Source

---

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