Fine-Tuning
Workflows using this tag
Microsoft Azure Tag an Existing Resource Group · Microsoft Azure
Microsoft Azure Provision a Region-Specific Deployment · Microsoft Azure
Microsoft Azure Audit Subscription Resources · Microsoft Azure
Microsoft Azure Deploy Template to a New Resource Group · Microsoft Azure
Microsoft Azure Resource Group Lifecycle Tag and Inventory · Microsoft Azure
Microsoft Azure Select Subscription and List Resource Groups · Microsoft Azure
Microsoft Azure Find Resources by Type and Inspect Their Group · Microsoft Azure
Microsoft Azure Deployment Status and Resulting Resources · Microsoft Azure
Business capabilities this tag reaches
Information & Data Management 9
Variants seen in the corpus:
Fine TuningFine-TuningFine-tuningFineTuningFinetuningfine-tuning
Providers using this tag (41)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 1 Complete, well-documented, and agent-ready
Developing 10 Usable, with meaningful gaps to close
Thin 17 Limited public surface area
Emerging 5 Early or largely undocumented
Minimal 2 Almost no public developer surface
APIs with this tag (23)
Ranked by the provider's API Evangelist rating — the Kin Score is scored per provider, not per API, so every API of a provider shares its band. How the rating works →
Exemplar 1 Complete, well-documented, and agent-ready
Strong 4 Solid coverage with minor gaps
Seekr Fine Tuning APIThe Fine-tuning API from Seekr — 12 operation(s) for fine-tuning.Segmind Fine-tuning APIDEPRECATED. Fine-tuning request management and data handling. Segmind's fine-tuning service no longer accep...Prime Intellect Training APIHosted reinforcement-learning post-training service ("Lab"). Launch dedicated training runs against a catal...Crusoe Managed Inference APIOpenAI-compatible inference API from the Crusoe Intelligence Foundry. Send chat/completions and embeddings ...
Developing 4 Usable, with meaningful gaps to close
Gemini Fine-Tuning APICustomize Gemini model behavior for specific tasks using supervised fine-tuning with your own training data.Portkey Fine-tuning APIManage fine-tuning jobs to tailor a model to your specific training data.AI21 Fine-Tuning APIFine-tuning service for Jamba models supporting full, LoRA, and QLoRA strategies. Create training jobs from...Predibase Fine-Tuning APIThe Fine-Tuning API from Predibase — 3 operation(s) for fine-tuning.
Thin 14 Limited public surface area
AI Gateway FineTuning APIThe FineTuning API from AI Gateway — 2 operation(s) for finetuning.Surge SFTFoundational-skill demonstration data for supervised fine-tuning.Kimi Fine-Tuning APIFine-tuning jobs endpoint for customizing Moonshot base models on customer-supplied training data. Mirrors ...Lamini Fine-Tuning APITuning and Memory Tuning job submission and management.Together AI Fine-tuning APIThe Fine-tuning API from Together AI — 10 operation(s) for fine-tuning.Cohere Datasets APIThe Cohere Datasets API provides endpoints for uploading, managing, and retrieving datasets used with other...Groq Fine Tuning APIThe Fine Tuning API from Groq — 2 operation(s) for fine tuning.Tinker APIManaged training/fine-tuning and sampling API for open-weight language models, consumed through the officia...DeepInfra Platform APIOpenAI- and Anthropic-compatible inference API for 100+ open-source models. Surfaces include chat completio...LiteLLM Fine Tuning APIThe Fine Tuning API from LiteLLM — 1 operation(s) for fine tuning.LiteLLM Fine-Tuning APIProvides an OpenAI-compatible /fine_tuning endpoint for model fine-tuning operations across supported provi...Mistral AI Fine-Tuning APIFine-tuning API for customizing Mistral models on your own datasets, supporting text, vision, and classifie...Telnyx Fine Tuning APICustomize LLMs for your unique needsSiliconFlow Cloud Platform APIOpenAI- and Anthropic-compatible inference covering chat completions, messages, embeddings, reranking, imag...
Score breakdown
Frequency
50.7
log-scaled weighted occurrences
Breadth
1.1
spread across providers
Quality lift
44.9
mean composite of providers using it
Cohesion
16.2
strength of nearest seed neighbor
Related tags
Embeddings 17 co-occurrences
Inference 23 co-occurrences
Rerank 6 co-occurrences
Model Training 7 co-occurrences
Completions 10 co-occurrences
Responses 8 co-occurrences
OpenAI-Compatible 9 co-occurrences
LLM 28 co-occurrences
Where this tag comes from
Provider tag25
Api tag23
Openapi tag10
Openapi op tag60
Cohort brief
Auto-generatedThe 41 providers in the APIs.io catalog tagged Fine-Tuning, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
Providers
41
all scored
Mean Kin Score
37.2
+16.5 vs catalog 20.7
Mean Agent Readiness
22.4
+12.7 vs catalog 9.7
Spread
5–64.6
median 35.3 · σ 14.9
How the 41 split by band
Exemplar 0Strong 6Developing 12Thin 15Emerging 6Minimal 2
Facet averages, against the whole catalog
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Contract Quality | 43.1 | 17.5 | +25.6 | 41 |
| Developer Ergonomics | 41.3 | 17.9 | +23.4 | 41 |
| Operational Transparency | 25.1 | 11.3 | +13.8 | 41 |
| Discoverability | 71.2 | 60.4 | +10.8 | 41 |
| Access Clarity | 30.9 | 22.3 | +8.6 | 41 |
| Contract Governance | 10.7 | 6.4 | +4.3 | 41 |
A facet is averaged over the members that carry it, not over the whole cohort — the “Scored” column is that count. Averaging an absent facet as zero would score our own coverage gaps as the providers’ posture.
What this cohort publishes
| Artifact | This cohort | Catalog | Difference |
|---|---|---|---|
| MCP server (any) | 27% | 16% | +11 |
| MCP server (first-party) | 17% | 7% | +10 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 7% | 9% | -2 |
| Security | 98% | 88% | +10 |
| Arazzo workflows | 7% | 2% | +5 |
| Governance rules | 32% | 13% | +19 |
mcp_pct counts any mcp/ artifact including ones API Evangelist derived from the provider OpenAPI; mcp_first_party_pct counts only servers the provider publishes. Prefer the latter.
Top by Kin Score
- 1 Refuel 64.6
- 2 OpenAI 64.2
- 3 Seekr 61.3
- 4 Crusoe 60.6
- 5 ChatGPT 59.8
- 6 Prime Intellect 55.1
- 7 Simplismart 53.3
- 8 Fastino Labs 51.5
- 9 Portkey 51.3
- 10 Understudy Labs 47
Top by Agent Readiness
- 1 Fastino Labs 54.2
- 2 Refuel 41.8
- 3 Crusoe 40.3
- 4 Telnyx 38.8
- 5 OpenAI 37.7
- 6 Portkey 36
- 7 Seekr 35.8
- 8 ChatGPT 34.7
- 9 Fireworks AI 33.7
- 10 Together AI 33.5
All 41 members of this roster resolve to a scored provider in
the catalog.Generated from the catalog build of
25 August 2026, across 26891
providers, using the same computation served by the
APIs.io cohort API. Briefs are published for rosters of
5 or more scored providers; below that a distribution is not meaningful.
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.