Adaptive ML website screenshot

Adaptive ML

Adaptive ML builds Adaptive Engine, an enterprise platform for developing, evaluating, and serving specialized open-source large language models via reinforcement-learning post-training. The three-phase workflow (Adapt, Evaluate, Serve) lets teams fine-tune smaller models to outperform commercial APIs, measure them with custom AI judges and graders, and feed production signals back into training. Adaptive Engine is self-hosted (Kubernetes/Helm) and exposes an OpenAI-compatible REST API for chat completions and embeddings, plus interactions, comparisons, outcomes, dataset/recipe management, and chunked uploads. Tooling includes the Python adaptive-sdk and adaptive-harmony libraries and the adpt CLI. Adaptive ML was acquired by Datadog.

Adaptive ML publishes 9 APIs on the APIs.io network, including artifacts::rest API, Chunked Upload API, Completions API, and 6 more. Tagged areas include Company, Ai Ml, LLM, Fine-Tuning, and Reinforcement Learning.

The Adaptive ML catalog on APIs.io includes 1 event-driven AsyncAPI specification.

Adaptive ML’s developer surface includes documentation, API reference, getting-started guide, engineering blog, signup flow, support, authentication, and 22 more developer resources.

🌐 Visit website 📡 Source on GitHub
40.4/100 developing ▬ flat Agent 25/100 agent aware Front door AI 6/6 dominant saas Full breakdown ↓
scored 2026-09-19 · rubric v0.22.0
1 APIs
CompanyAi MlLLMFine-TuningReinforcement LearningModel EvaluationInferenceOpenAI-CompatibleMLOps

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-19 · rubric v0.22.0
Composite quality — 40.4/100 · developing
Contract Quality 11.3 / 23
Developer Ergonomics 11.0 / 18
Access Clarity 4.3 / 18
Operational Transparency 3.1 / 12
Contract Governance 0.5 / 11
Discoverability 6.8 / 9
Create-or-Update Ergonomics 0.0 / 10
Agent readiness — 25/100 · agent aware
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
Documented Reversibility 0 / 6
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 6 / 6
Agent Skills 5 / 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
Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.
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/adaptive-ml: 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 →

Standards implemented 1

Interfaces this provider implements that became standards by being copied rather than ratified. Each is profiled by the API Commons, and the evidence column says how the claim was established — not that it was made.

The OpenAI Interface
declared — publishes a spec that declares them
2 core of 338 operations graded · api-commons/models

APIs 9

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

Adaptive ML artifacts::rest API

The artifacts::rest API from Adaptive ML — 1 operation(s) for artifacts::rest.

Adaptive ML Chunked Upload API

Upload large files in chunks

Adaptive ML Completions API

The Completions API from Adaptive ML — 1 operation(s) for completions.

Adaptive ML Datasets API

The Datasets API from Adaptive ML — 1 operation(s) for datasets.

Adaptive ML Embeddings API

The Embeddings API from Adaptive ML — 1 operation(s) for embeddings.

Adaptive ML Feedback API

The Feedback API from Adaptive ML — 2 operation(s) for feedback.

Adaptive ML image::rest API

The image::rest API from Adaptive ML — 1 operation(s) for image::rest.

Adaptive ML Interactions API

Load interactions in the db

Adaptive ML Recipes API

Recipe operations

Scroll for all 9

Open Collections 10

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

API Collection

OPEN COLLECTION

concorde artifacts::rest API

OPEN COLLECTION

concorde artifacts::rest Chunked Upload API

OPEN COLLECTION

concorde artifacts::rest Completions API

OPEN COLLECTION

concorde artifacts::rest Datasets API

OPEN COLLECTION

concorde artifacts::rest Embeddings API

OPEN COLLECTION

concorde artifacts::rest Feedback API

OPEN COLLECTION

concorde artifacts::rest image::rest API

OPEN COLLECTION

concorde artifacts::rest Interactions API

OPEN COLLECTION

concorde artifacts::rest Recipes API

OPEN COLLECTION

Scroll for all 10

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Adaptive Ml Webhooks

ASYNCAPI

Security Posture 2

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

Adaptive Ml Authentication

http · 1 scheme

SECURITY

Adaptive Ml Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Adaptive Ml Agentic Access

13 operations · 9 acting

13 operations · 9 acting

AGENTIC

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal
DeveloperPortal
 GettingStarted
GettingStarted
 SignUp
SignUp

Documentation 2

Reference material describing how the API behaves

Documentation
Documentation
 APIReference
APIReference

Agent Surfaces 5

MCP servers, agent skills, and machine-readable catalogs

X-MCPServerCandidate
X-MCPServerCandidate
 WellKnown
WellKnown
 LLMsTxt
LLMsTxt
 AgentSkill
AgentSkill
 AgenticAccess
AgenticAccess

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Lifecycle
Lifecycle
 Conventions
Conventions
 ErrorCatalog
ErrorCatalog
 Conformance
Conformance
 DataModel
DataModel
 Webhooks
Webhooks

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization
 Packages
Packages
 SDKs
SDKs
 CLI
CLI

Access & Security 2

Authentication, authorization, and security posture

Authentication
Authentication
 DomainSecurity
DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support
Support
 ChangeLog
ChangeLog

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy
PrivacyPolicy

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Other 2

Properties that don't map to a standard resource type

ParentCompany
ParentCompany
 Overlay
Overlay

Source (apis.yml)

apis.yml Raw ↑ 
aid: adaptive-ml
name: Adaptive ML
description: Adaptive ML builds Adaptive Engine, an enterprise platform for developing, evaluating, and serving specialized
  open-source large language models via reinforcement-learning post-training. The three-phase workflow (Adapt, Evaluate, Serve)
  lets teams fine-tune smaller models to outperform commercial APIs, measure them with custom AI judges and graders, and feed
  production signals back into training. Adaptive Engine is self-hosted (Kubernetes/Helm) and exposes an OpenAI-compatible
  REST API for chat completions and embeddings, plus interactions, comparisons, outcomes, dataset/recipe management, and chunked
  uploads. Tooling includes the Python adaptive-sdk and adaptive-harmony libraries and the adpt CLI. Adaptive ML was acquired
  by Datadog.
url: https://raw.githubusercontent.com/api-evangelist/adaptive-ml/refs/heads/main/apis.yml
x-type: company
x-source: index-ventures-portfolio
x-tier: profile
x-tier-reason: enriched-from-public-developer-surface
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-17'
image: https://www.adaptive-ml.com/favicon.ico
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-09-17
x-docs-hosting: vercel
tags:
- Company
- Ai Ml
- LLM
- Fine-Tuning
- Reinforcement Learning
- Model Evaluation
- Inference
- OpenAI-Compatible
- MLOps
apis:
- aid: adaptive-ml:adaptive-ml-artifacts-rest-api
  name: Adaptive ML artifacts::rest API
  description: The artifacts::rest API from Adaptive ML — 1 operation(s) for artifacts::rest.
  humanURL: https://docs.adaptive-ml.com/v0.14/reference/api
  baseURL: https://your-adaptive-deployment/api/v1
  tags:
  - artifacts::rest
  properties:
  - type: OpenAPI
    url: openapi/adaptive-ml-artifacts-rest-api-openapi.yml
  - type: Documentation
    url: https://docs.adaptive-ml.com/v0.14/reference/api
  - type: Authentication
    url: authentication/adaptive-ml-authentication.yml
- aid: adaptive-ml:adaptive-ml-chunked-upload-api
  name: Adaptive ML Chunked Upload API
  description: Upload large files in chunks
  humanURL: https://docs.adaptive-ml.com/v0.14/reference/api
  baseURL: https://your-adaptive-deployment/api/v1
  tags:
  - Chunked Upload
  properties:
  - type: OpenAPI
    url: openapi/adaptive-ml-chunked-upload-api-openapi.yml
  - type: Documentation
    url: https://docs.adaptive-ml.com/v0.14/reference/api
  - type: Authentication
    url: authentication/adaptive-ml-authentication.yml
- aid: adaptive-ml:adaptive-ml-completions-api
  name: Adaptive ML Completions API
  description: The Completions API from Adaptive ML — 1 operation(s) for completions.
  humanURL: https://docs.adaptive-ml.com/v0.14/reference/api
  baseURL: https://your-adaptive-deployment/api/v1
  tags:
  - Completions
  properties:
  - type: OpenAPI
    url: openapi/adaptive-ml-completions-api-openapi.yml
  - type: Documentation
    url: https://docs.adaptive-ml.com/v0.14/reference/api
  - type: Authentication
    url: authentication/adaptive-ml-authentication.yml
- aid: adaptive-ml:adaptive-ml-datasets-api
  name: Adaptive ML Datasets API
  description: The Datasets API from Adaptive ML — 1 operation(s) for datasets.
  humanURL: https://docs.adaptive-ml.com/v0.14/reference/api
  baseURL: https://your-adaptive-deployment/api/v1
  tags:
  - Datasets
  properties:
  - type: OpenAPI
    url: openapi/adaptive-ml-datasets-api-openapi.yml
  - type: Documentation
    url: https://docs.adaptive-ml.com/v0.14/reference/api
  - type: Authentication
    url: authentication/adaptive-ml-authentication.yml
- aid: adaptive-ml:adaptive-ml-embeddings-api
  name: Adaptive ML Embeddings API
  description: The Embeddings API from Adaptive ML — 1 operation(s) for embeddings.
  humanURL: https://docs.adaptive-ml.com/v0.14/reference/api
  baseURL: https://your-adaptive-deployment/api/v1
  tags:
  - Embeddings
  properties:
  - type: OpenAPI
    url: openapi/adaptive-ml-embeddings-api-openapi.yml
  - type: Documentation
    url: https://docs.adaptive-ml.com/v0.14/reference/api
  - type: Authentication
    url: authentication/adaptive-ml-authentication.yml
- aid: adaptive-ml:adaptive-ml-feedback-api
  name: Adaptive ML Feedback API
  description: The Feedback API from Adaptive ML — 2 operation(s) for feedback.
  humanURL: https://docs.adaptive-ml.com/v0.14/reference/api
  baseURL: https://your-adaptive-deployment/api/v1
  tags:
  - Feedback
  properties:
  - type: OpenAPI
    url: openapi/adaptive-ml-feedback-api-openapi.yml
  - type: Documentation
    url: https://docs.adaptive-ml.com/v0.14/reference/api
  - type: Authentication
    url: authentication/adaptive-ml-authentication.yml
- aid: adaptive-ml:adaptive-ml-image-rest-api
  name: Adaptive ML image::rest API
  description: The image::rest API from Adaptive ML — 1 operation(s) for image::rest.
  humanURL: https://docs.adaptive-ml.com/v0.14/reference/api
  baseURL: https://your-adaptive-deployment/api/v1
  tags:
  - image::rest
  properties:
  - type: OpenAPI
    url: openapi/adaptive-ml-image-rest-api-openapi.yml
  - type: Documentation
    url: https://docs.adaptive-ml.com/v0.14/reference/api
  - type: Authentication
    url: authentication/adaptive-ml-authentication.yml
- aid: adaptive-ml:adaptive-ml-interactions-api
  name: Adaptive ML Interactions API
  description: Load interactions in the db
  humanURL: https://docs.adaptive-ml.com/v0.14/reference/api
  baseURL: https://your-adaptive-deployment/api/v1
  tags:
  - Interactions
  properties:
  - type: OpenAPI
    url: openapi/adaptive-ml-interactions-api-openapi.yml
  - type: Documentation
    url: https://docs.adaptive-ml.com/v0.14/reference/api
  - type: Authentication
    url: authentication/adaptive-ml-authentication.yml
- aid: adaptive-ml:adaptive-ml-recipes-api
  name: Adaptive ML Recipes API
  description: Recipe operations
  humanURL: https://docs.adaptive-ml.com/v0.14/reference/api
  baseURL: https://your-adaptive-deployment/api/v1
  tags:
  - Recipes
  properties:
  - type: OpenAPI
    url: openapi/adaptive-ml-recipes-api-openapi.yml
  - type: Documentation
    url: https://docs.adaptive-ml.com/v0.14/reference/api
  - type: Authentication
    url: authentication/adaptive-ml-authentication.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: ParentCompany
  url: https://apis.io/providers/datadog/
  name: Datadog
  x-relationship: acquired
  x-evidence: Adaptive ML was acquired by Datadog.
- type: Website
  url: https://www.adaptive-ml.com
- type: DeveloperPortal
  url: https://docs.adaptive-ml.com
- type: Documentation
  url: https://docs.adaptive-ml.com/v0.14/introduction
- type: APIReference
  url: https://docs.adaptive-ml.com/v0.14/reference/api
- type: GettingStarted
  url: https://docs.adaptive-ml.com/quickstart
- type: Blog
  url: https://www.adaptive-ml.com/blog
- type: SignUp
  url: https://www.adaptive-ml.com/book-a-demo
- type: Support
  url: https://www.adaptive-ml.com/contact-us
- type: PrivacyPolicy
  url: https://www.adaptive-ml.com/privacy
- type: GitHubOrganization
  url: https://github.com/adaptive-ml
- type: Authentication
  url: authentication/adaptive-ml-authentication.yml
- type: Packages
  url: packages/adaptive-ml-packages.yml
- type: SDKs
  url: packages/adaptive-ml-packages.yml
- type: CLI
  url: cli/adaptive-ml-cli.yml
- type: ChangeLog
  url: changelog/adaptive-ml-changelog.yml
- type: Lifecycle
  url: lifecycle/adaptive-ml-lifecycle.yml
- type: Conventions
  url: conventions/adaptive-ml-conventions.yml
- type: ErrorCatalog
  url: errors/adaptive-ml-problem-types.yml
- type: Conformance
  url: conformance/adaptive-ml-conformance.yml
- type: DataModel
  url: data-model/adaptive-ml-data-model.yml
- type: X-MCPServerCandidate
  url: mcp/adaptive-ml-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- type: WellKnown
  url: well-known/adaptive-ml-well-known.yml
- type: LLMsTxt
  url: llms/adaptive-ml-llms.txt
- type: Overlay
  url: overlays/adaptive-ml-openapi-overlay.yaml
- type: AgentSkill
  url: skills/_index.yml
- type: AgenticAccess
  url: agentic-access/adaptive-ml-agentic-access.yml
- type: Webhooks
  url: asyncapi/adaptive-ml-webhooks.yml
- type: DomainSecurity
  url: security/adaptive-ml-domain-security.yml

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