emerging · -0.1 capabilitymarket actiondomain

Fine-Tuning

Score 23.4 / 100 25 providers +18 via APIs 25 APIs Search apis.io →
Business capabilities this tag reaches
Information & Data Management 1

Providers using this tag (25)

Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.

Exemplar 1 Complete, well-documented, and agent-ready
SegmindArtificial IntelligenceMachine-LearningGenerative AIInference1 API67.2
Strong 3 Solid coverage with minor gaps
SeekrArtificial IntelligenceGenerative AIAgentsLLM8 APIs61.3RefuelArtificial IntelligenceLLMData LabelingData Enrichment3 APIs60.4ChatGPTAgentsArtificial IntelligenceChatGPTEmbeddings2 APIs59.7
Developing 8 Usable, with meaningful gaps to close
SimplismartCompanyArtificial IntelligenceMachine-LearningInference19 APIs51.0Fastino LabsCompanyArtificial IntelligenceMachine-LearningSmall Language Models1 API47.7AI21 LabsArtificial IntelligenceFoundation ModelsLLMJamba1 API43.6ArgillaData AnnotationLLMNLPRLHF1 API43.6FlexAICompanyAi MlArtificial IntelligenceMachine-Learning1 API43.3Understudy LabsArtificial IntelligenceLLM GatewayMachine-LearningOpen-Source1 API43.2Adaptive MLCompanyAi MlLLM1 API40.4PredibaseArtificial IntelligenceLLMInference1 API39.3
Thin 6 Limited public surface area
OxenCompanyData Version ControlMachine-LearningArtificial Intelligence2 APIs38.4LaminiArtificial IntelligenceLLMMemory Tuning1 API35.7Thinking Machines LabCompanyArtificial IntelligenceMachine-LearningLLM34.9Thinking MachinesCompanyArtificial IntelligenceMachine-Learning1 API34.7Fireworks AIArtificial IntelligenceLLMInferenceMulti-Modal5 APIs32.6OpenPipeArtificial IntelligenceLLMDistillation1 API29.2
Emerging 5 Early or largely undocumented
Cumulus LabsCompanyInferenceLLMAI Infrastructure1 API25.8MosaicMLArtificial IntelligenceFoundation ModelsModel TrainingPretraining20.9OumiCompanyEconomic HealthArtificial IntelligenceMachine-Learning18.6Refact.aiArtificial IntelligenceCoding AssistantAI AgentsAutonomous Agents2 APIs14.3BelvedirCompanyArtificial IntelligenceMachine-LearningReinforcement Learning11.8
Minimal 2 Almost no public developer surface
Applied ComputeCompanyArtificial IntelligenceMachine-LearningLLM10.0EngramCompanyArtificial IntelligenceMachine-LearningLLM5.0

APIs with this tag (25)

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 3 Complete, well-documented, and agent-ready
OpenAI Fine Tuning APIThe Fine Tuning API from OpenAI — 11 operation(s) for fine tuning.82.9Microsoft Azure Fine-Tuning: APIThe Fine-Tuning: API from Microsoft Azure — 4 operation(s) for fine-tuning:.74.9Segmind Fine-tuning APIDEPRECATED. Fine-tuning request management and data handling. Segmind's fine-tuning service no longer accep...67.2
Strong 2 Solid coverage with minor gaps
Seekr Fine Tuning APIThe Fine-tuning API from Seekr — 12 operation(s) for fine-tuning.61.3Prime Intellect Training APIHosted reinforcement-learning post-training service ("Lab"). Launch dedicated training runs against a catal...56.5
Developing 7 Usable, with meaningful gaps to close
Crusoe Managed Inference APIOpenAI-compatible inference API from the Crusoe Intelligence Foundry. Send chat/completions and embeddings ...53.6Mistral AI Fine-Tuning APIFine-tuning API for customizing Mistral models on your own datasets, supporting text, vision, and classifie...53.2Gemini Fine-Tuning APICustomize Gemini model behavior for specific tasks using supervised fine-tuning with your own training data.52.2Portkey Fine-tuning APIManage fine-tuning jobs to tailor a model to your specific training data.50.3University of Amsterdam Fine Tuning APIThe fine-tuning API from University of Amsterdam — 6 operation(s) for fine-tuning.48.9AI21 Fine-Tuning APIFine-tuning service for Jamba models supporting full, LoRA, and QLoRA strategies. Create training jobs from...43.6Predibase Fine-Tuning APIThe Fine-Tuning API from Predibase — 3 operation(s) for fine-tuning.39.3
Thin 13 Limited public surface area
AI Gateway Fine Tuning APIThe Fine Tuning API from AI Gateway — 2 operation(s) for fine tuning.38.7Kimi Fine-Tuning APIFine-tuning jobs endpoint for customizing Moonshot base models on customer-supplied training data. Mirrors ...37.2Surge SFTFoundational-skill demonstration data for supervised fine-tuning.37.0Together AI Fine-tuning APIThe Fine-tuning API from Together AI — 10 operation(s) for fine-tuning.36.3Lamini Fine-Tuning APITuning and Memory Tuning job submission and management.35.7Telnyx Fine Tuning APICustomize LLMs for your unique needs35.5Cohere Datasets APIThe Cohere Datasets API provides endpoints for uploading, managing, and retrieving datasets used with other...35.4Tinker APIManaged training/fine-tuning and sampling API for open-weight language models, consumed through the officia...34.7Groq Fine Tuning APIThe Fine Tuning API from Groq — 2 operation(s) for fine tuning.34.3DeepInfra Platform APIOpenAI- and Anthropic-compatible inference API for 100+ open-source models. Surfaces include chat completio...33.9LiteLLM Fine Tuning APIThe Fine Tuning API from LiteLLM — 1 operation(s) for fine tuning.33.0LiteLLM Fine-Tuning APIProvides an OpenAI-compatible /fine_tuning endpoint for model fine-tuning operations across supported provi...33.0SiliconFlow Cloud Platform APIOpenAI- and Anthropic-compatible inference covering chat completions, messages, embeddings, reranking, imag...32.7

Companies reaching this through an API (18)

These companies publish an API, specification or operation carrying “Fine-Tuning” but do not classify their business under it. Listed unranked and kept out of the count above, because one tagged operation is not a statement about what a company does.

AI Gateway Cohere Crusoe DeepInfra Google Gemini Groq Kimi (Moonshot AI) LiteLLM Microsoft Azure Mistral AI OpenAI Portkey Prime Intellect SiliconFlow Surge AI Telnyx Together AI University of Amsterdam

Score breakdown

Frequency
50.8
log-scaled weighted occurrences
Breadth
0.7
spread across providers
Quality lift
41.4
mean composite of providers using it
Cohesion
15.2
strength of nearest seed neighbor

Where this tag sits

Artificial Intelligence broader

Related tags

Completions 11 co-occurrences Inference 23 co-occurrences Embeddings 19 co-occurrences Model Training 7 co-occurrences Responses 8 co-occurrences Assistant 8 co-occurrences OpenAI-Compatible 9 co-occurrences

Where this tag comes from

Provider tag25
Api tag25
Openapi tag11
Openapi op tag68

Cohort brief

Auto-generated

The 24 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
24
all scored
Mean Kin Score
37.8
+13.8 vs catalog 24
Mean Agent Readiness
20.5
+8.1 vs catalog 12.4
Spread
10–67.2
median 38.8 · σ 15.5
How the 24 split by band
Exemplar 1Strong 3Developing 8Thin 6Emerging 5Minimal 1
Facet averages, against the whole catalog
FacetThis cohortCatalogDifferenceScored
Developer Ergonomics 48.9 23.4 +25.5 24
Contract Quality 36.2 20.1 +16.1 24
Operational Transparency 28.4 14 +14.4 24
Access Clarity 36.2 26.5 +9.7 24
Discoverability 70.4 61 +9.4 24
Contract Governance 8.3 6.5 +1.8 24

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
ArtifactThis cohortCatalogDifference
MCP server (any) 25% 10% +15
MCP server (first-party) 33% 13% +20
Agent Skills 0% 0% 0
OAuth scopes 13% 11% +2
Security 100% 96% +4
Arazzo workflows 8% 2% +6
Governance rules 21% 13% +8

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. 1 Segmind 67.2
  2. 2 Seekr 61.3
  3. 3 Refuel 60.4
  4. 4 ChatGPT 59.7
  5. 5 Simplismart 51
  6. 6 Fastino Labs 47.7
  7. 7 AI21 Labs 43.6
  8. 8 Argilla 43.6
  9. 9 FlexAI 43.3
  10. 10 Understudy Labs 43.2
Top by Agent Readiness
  1. 1 Fastino Labs 52
  2. 2 Fireworks AI 35.9
  3. 3 Seekr 35.8
  4. 4 ChatGPT 32.7
  5. 5 Refuel 32.2
  6. 6 Segmind 30.6
  7. 7 Understudy Labs 28.9
  8. 8 Oxen 27.8
  9. 9 Simplismart 26.1
  10. 10 FlexAI 26.1
All 25 members of this roster resolve to a scored provider in the catalog.Generated from the catalog build of 20 September 2026, across 27620 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.

MCP server

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https://apis.io/mcp

Tools for tags

7 MCP tools reach this
  • find_tagsBrowse and filter every tag in the catalog.
  • get_cohortThis tag as a scored cohort — every provider carrying it, with scores.
  • cohort_statsPRO — the distribution across this tag: mean, median, band split, adoption rates.
  • cohort_rankingsPRO — the leaderboard, on composite AND agent-readiness axes.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
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Call it yourself

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As a scored cohort 
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The distribution (Pro) 
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  -H "X-API-Key: $APIS_IO_KEY"

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