Kiwop LLMOps

Kiwop LLMOps is a Spanish‑based company offering AI‑powered services for enterprises, including large language model (LLM) integration, Retrieval‑Augmented Generation (RAG), autonomous AI agents, and consulting. Their portfolio spans AI strategy, governance, compliance with the AI Act, custom chatbot development, cloud architecture on AWS, Azure and GCP, and cybersecurity audits. Kiwop provides end‑to‑end solutions from model fine‑tuning to production deployment, helping businesses unlock the value of generative AI while ensuring regulatory and security standards are met.

Kiwop LLMOps is profiled on the APIs.io network. Tagged areas include Company, AI, LLM, RAG, and Consulting.

Kiwop LLMOps’ developer surface includes engineering blog, documentation, and 6 more developer resources.

🌐 Visit website📡 Profile data on GitHub
8.4/100 minimal Agent 3/100 human only Full breakdown ↓
scored 2026-10-18 · rubric v0.24.0
0 APIs
CompanyAILLMRAGConsulting

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-10-18 · rubric v0.24.0
Composite quality — 8.4/100 · minimal
Contract Quality 0.0 / 21
Developer Ergonomics 2.0 / 17
Access Clarity 1.8 / 17
Operational Transparency 0.0 / 11
Contract Governance 0.0 / 10
Discoverability 4.1 / 9
Regulatory Posture 1.4 / 15
Agent readiness — 3/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
MCP Server 12 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Delegated User Identity 0 / 6
Protected Resource Metadata 0 / 5
Registration Without a Human 0 / 6
Agentic Commerce Well-Known Document 0 / 5
Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/kiwop: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Kiwop Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Documentation
Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt
LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy
PrivacyPolicy

Company 2

The organization behind the API

Blog
Blog
 Website
Website

Other 2

Properties that don't map to a standard resource type

Hosts
Hosts
 Vendors
Vendors

Source (apis.yml)

apis.yml Raw ↑ 
aid: kiwop
name: Kiwop LLMOps
image: https://www.kiwop.com/og-image.png
description: Kiwop LLMOps is a Spanish‑based company offering AI‑powered services for enterprises, including large language
  model (LLM) integration, Retrieval‑Augmented Generation (RAG), autonomous AI agents, and consulting. Their portfolio spans
  AI strategy, governance, compliance with the AI Act, custom chatbot development, cloud architecture on AWS, Azure and GCP,
  and cybersecurity audits. Kiwop provides end‑to‑end solutions from model fine‑tuning to production deployment, helping businesses
  unlock the value of generative AI while ensuring regulatory and security standards are met.
url: https://raw.githubusercontent.com/api-evangelist/kiwop/refs/heads/main/apis.yml
x-type: company
x-source: harvest:g2-catalog
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-18 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-17'
modified: '2026-10-17'
tags:
- Company
- AI
- LLM
- RAG
- Consulting
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: LLMsTxt
  url: llms/kiwop-llms.txt
- type: Hosts
  url: hosts/kiwop-hosts.yml
- type: Vendors
  url: vendors/kiwop-vendors.yml
- type: PrivacyPolicy
  url: https://www.kiwop.com/de/privacy-engineering
- type: Blog
  url: https://www.kiwop.com/blog
- type: Documentation
  url: https://dev.kiwop.com/
- type: DomainSecurity
  url: security/kiwop-domain-security.yml
- type: Website
  url: https://kiwop.com/
apis: []
x-coverage:
  state: unreadable
  reason: js-rendered-docs
  detail: The provider's documentation site renders content via JavaScript, preventing retrieval of a machine‑readable OpenAPI
    spec.
  evidence:
  - url: https://www.kiwop.com/
    status: 200
  checked: '2026-10-18'
x-enrichment:
  date: '2026-10-18'
  status: enriched
  artifacts_added: 10
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

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