FinetuneDB

FinetuneDB provides an AI fine‑tuning platform that enables users to build custom large language models quickly using their own data. The service offers collaborative dataset editing, model management, and secure deployment, targeting developers and enterprises seeking to improve performance and reduce costs. FinetuneDB was recently acquired by Opper AI, expanding its capabilities and market reach. The platform includes features such as multi‑model handling, security controls, pricing tiers, extensive documentation, and use‑case case studies.

FinetuneDB is listed with 2 APIs on the APIs.io network. Tagged areas include Company, AI, Machine Learning, Platform, and Fine-tuning.

The FinetuneDB catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

FinetuneDB’s developer surface includes getting-started guide, API reference, documentation, pricing, engineering blog, and 18 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

35.7/100 thin Agent 41/100 agent ready Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →

2 APIs

CompanyAIMachine Learning PlatformFine-tuning

Kin Score

Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0

Composite quality — 35.7/100 · thin

Contract Quality 4.4 / 21

Developer Ergonomics 6.5 / 17

Access Clarity 10.7 / 17

Operational Transparency 0.6 / 11

Contract Governance 2.2 / 10

Discoverability 4.9 / 9

Regulatory Posture 3.4 / 15

Agent readiness — 41/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 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 8 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 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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Agent readiness — checks not met, largest first (exact, from this profile):

Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks

6 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 20.9 — up to +19.8 composite points
Developer Ergonomics scores 38.1 — up to +12.4 composite points
Operational Transparency scores 5.3 — up to +12.3 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

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 the provider profile at artifacts.apis.io/finetunedb/apis.yml: open an issue on github.com/api-evangelist/finetunedb to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 2

Individual APIs this provider publishes, each with its own machine-readable definition.

FinetuneDB API

FinetuneDB provides an AI fine‑tuning platform with endpoints for datasets, fine‑tuning jobs, model serving and evaluations.

FinetuneDB API

FinetuneDB API as documented publicly: 1 operations. Contract generated from the documentation by API Evangelist (2026-10-20); not the provider's own document.

Pricing Plans 1

Published pricing tiers and plan structures.

Finetunedb Plans Pricing

3 plans

PLANS

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Finetunedb Context

1 classes · 14 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

FinetuneDB API Rules

13 rules · 11 errors 1 warnings 1 info

SPECTRAL

JSON Schema 1

Standalone JSON Schema definitions for this provider's data models.

PostLogsRequest

14 properties

JSON SCHEMA

Security Posture 1

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

Finetunedb Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

APIReference

APIReference

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

DataModel

Conformance

Build 3

SDKs, sample code, and the tooling you integrate with

SDKs

SDKs

Packages

Packages

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 3

Properties that don't map to a standard resource type

AgentCard

AgentCard

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: finetunedb
name: FinetuneDB
image: https://finetunedb.com/assets/images/graphics/sharing-image.png
description: FinetuneDB provides an AI fine‑tuning platform that enables users to build custom large language models quickly
  using their own data. The service offers collaborative dataset editing, model management, and secure deployment, targeting
  developers and enterprises seeking to improve performance and reduce costs. FinetuneDB was recently acquired by Opper AI,
  expanding its capabilities and market reach. The platform includes features such as multi‑model handling, security controls,
  pricing tiers, extensive documentation, and use‑case case studies.
url: https://raw.githubusercontent.com/api-evangelist/finetunedb/refs/heads/main/apis.yml
x-type: company
x-source: harvest:g2-catalog
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-20 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-20'
modified: '2026-10-20'
tags:
- Company
- AI
- Machine Learning
- Platform
- Fine-tuning
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/finetunedb-plans-pricing.yml
- type: Spectral
  url: rules/finetunedb-rules.yml
- type: JSONLD
  url: json-ld/finetunedb-context.jsonld
- type: Vocabulary
  url: vocabulary/finetunedb-vocabulary.yml
- type: DataModel
  url: data-model/finetunedb-data-model.yml
- type: Conformance
  url: conformance/finetunedb-conformance.yml
- type: LLMsTxt
  url: llms/finetunedb-llms.txt
- type: AgentCard
  url: a2a/finetunedb-a2a.yml
- type: WellKnown
  url: well-known/finetunedb-well-known.yml
- type: Hosts
  url: hosts/finetunedb-hosts.yml
- type: Vendors
  url: vendors/finetunedb-vendors.yml
- type: SDKs
  url: packages/finetunedb-packages.yml
- type: Packages
  url: packages/finetunedb-packages.yml
- type: GitHubOrganization
  url: https://github.com/finetunedb
- type: GettingStarted
  url: https://docs.finetunedb.com/getting-started/quickstart
- type: APIReference
  url: https://docs.finetunedb.com/llms.txt
- type: DomainSecurity
  url: security/finetunedb-domain-security.yml
- type: Website
  url: https://finetunedb.com/
- type: Documentation
  url: https://docs.finetunedb.com/
- type: Pricing
  url: https://finetunedb.com/pricing/
- type: Blog
  url: https://finetunedb.com/blog/
- type: TermsOfService
  url: https://finetunedb.com/terms-of-service
- type: PrivacyPolicy
  url: https://finetunedb.com/privacy-policy
apis:
- name: FinetuneDB API
  description: FinetuneDB provides an AI fine‑tuning platform with endpoints for datasets, fine‑tuning jobs, model serving
    and evaluations.
  humanURL: https://docs.finetunedb.com/introduction
  baseURL: null
  aid: finetunedb:finetunedb-api-2
- aid: finetunedb:finetunedb-api
  name: FinetuneDB API
  description: 'FinetuneDB API as documented publicly: 1 operations. Contract generated from the documentation by API Evangelist
    (2026-10-20);

    not the provider''s own document.'
  humanURL: https://docs.finetunedb.com/logging-data/web-api.md
  baseURL: https://app.finetunedb.com/api/v1
  properties:
  - type: OpenAPI
    url: openapi/_ae-authored/finetunedb-openapi-generated.yml
    x-provenance: generated
  - type: JSONSchema
    url: json-schema/finetunedb-post-logs-request-schema.json
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: No OpenAPI, GraphQL, AsyncAPI, gRPC or WSDL files were found on the provider's hosts.
  evidence:
  - url: https://docs.finetunedb.com/llms.txt
    status: 200
  checked: '2026-10-20'
x-enrichment:
  date: '2026-10-20'
  status: enriched
  artifacts_added: 29
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

FinetuneDB API — frequently asked questions

Does FinetuneDB have an API?

Yes. APIs.io lists 2 APIs from FinetuneDB, including FinetuneDB API and FinetuneDB API.

Is there an OpenAPI specification for the FinetuneDB API?

Yes. APIs.io indexes 1 OpenAPI specification for FinetuneDB, each linked for download from this page.

How much does the FinetuneDB API cost?

APIs.io lists 3 pricing plans for FinetuneDB, with each plan's price, limits and inclusions under Pricing Plans on this page.

Is the FinetuneDB API ready for AI agents?

FinetuneDB has a Kin Score of 35.7 out of 100 (thin) and an Agent Readiness score of 40.5 (agent-ready), scored by API Evangelist on 2026-10-31.

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