TuneTrain.ai

TuneTrain.ai provides a SaaS platform that enables businesses to fine‑tune small language models using their own data. Users can upload datasets in CSV or JSONL, augment them with AI‑generated variations, and apply LLM‑based distillation to improve quality. The service supports popular models such as Llama 3, Mistral, and Phi‑4, offering real‑time training monitoring, model hosting, and secure deployment. Built with enterprise‑grade security, it complies with SOC 2, EU AI Act, and provides extensive documentation and support for AI model customization.

TuneTrain.ai is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Software-as-a-Service, Machine Learning, and Fine-Tuning.

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8.7/100 minimal Agent 0/100 human only Full breakdown ↓
scored 2026-10-23 · rubric v0.25.0 · Show this score on your site →

0 APIs

Company Artificial Intelligence Software-as-a-Service Machine Learning Fine-Tuning

Kin Score

Kin Score How this is scored →
scored 2026-10-23 · rubric v0.25.0

Composite quality — 8.7/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.0 / 17

Access Clarity 3.6 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 1.9 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 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

Pagination 5 / 5

Distinct Operations 3 / 3

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/.

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<a href="https://apis.io/providers/tunetrain/"><img src="https://apis.io/badge/tunetrain/card.svg" alt="TuneTrain.ai on APIs.io — Kin Score by API Evangelist"></a>

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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/tunetrain: 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.

Tunetrain Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: tunetrain
name: TuneTrain.ai
image: https://tunetrain.ai/opengraph-image.png?opengraph-image.6d38a835.png
description: TuneTrain.ai provides a SaaS platform that enables businesses to fine‑tune small language models using their
  own data. Users can upload datasets in CSV or JSONL, augment them with AI‑generated variations, and apply LLM‑based distillation
  to improve quality. The service supports popular models such as Llama 3, Mistral, and Phi‑4, offering real‑time training
  monitoring, model hosting, and secure deployment. Built with enterprise‑grade security, it complies with SOC 2, EU AI Act,
  and provides extensive documentation and support for AI model customization.
url: https://raw.githubusercontent.com/api-evangelist/tunetrain/refs/heads/main/apis.yml
x-type: company
x-source: harvest:g2-catalog
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-19 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-19'
modified: '2026-10-19'
tags:
- Company
- Artificial Intelligence
- Software-as-a-Service
- Machine Learning
- Fine-Tuning
tags_raw:
- Company
- AI
- SaaS
- Machine Learning
- Fine-tuning
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Hosts
  url: hosts/tunetrain-hosts.yml
- type: Vendors
  url: vendors/tunetrain-vendors.yml
- type: TermsOfService
  url: https://www.tunetrain.ai/terms
- type: PrivacyPolicy
  url: https://www.tunetrain.ai/privacy
- type: DomainSecurity
  url: security/tunetrain-domain-security.yml
- type: Website
  url: https://tunetrain.ai/
apis: []
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: No OpenAPI, AsyncAPI, GraphQL, or other contract was found at api.tunetrain.ai despite probing.
  evidence:
  - url: https://api.tunetrain.ai/
    status: 200
  checked: '2026-10-19'
x-enrichment:
  date: '2026-10-19'
  status: enriched
  artifacts_added: 6
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

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