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 API contracts indexed on the APIs.io network, including artifacts::rest API, Chunked Upload API, Completions API, and 6 more. Tagged areas include Company, Artificial Intelligence, 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 23 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

42.4/100 developing ▬ flat Agent 25/100 agent aware Front door AI 6/6 dominant saas Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →

1 published contract 3 Agent Skills

Company Artificial Intelligence LLM Fine-Tuning Reinforcement Learning Model Evaluation Inference OpenAI-Compatible MLOps

What this lets a business do 2

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

AI Model Services

AE-110

EmbeddingsFeedback

POST /api/v1/embeddings POST /api/v1/comparison POST /api/v1/outcome

Information & Data Management

BC-610

Completions

POST /api/v1/chat/completions

Kin Score

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

Composite quality — 42.4/100 · developing

Contract Quality 9.8 / 21

Developer Ergonomics 12.4 / 17

Access Clarity 4.0 / 17

Operational Transparency 3.2 / 11

Contract Governance 0.5 / 10

Discoverability 5.6 / 9

Regulatory Posture 2.9 / 15

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

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/.

Show this score on your site.

It updates itself when the score changes. Paste this where you link to your API docs:

<a href="https://apis.io/providers/adaptive-ml/"><img src="https://apis.io/badge/adaptive-ml/card.svg" alt="Adaptive ML on APIs.io — Kin Score by API Evangelist"></a>

Other styles, a README pill and a shields.io endpoint are on the badge page.

Raise your score.

Agent readiness — checks not met, largest first (exact, from this profile):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
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)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
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
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)

7 more unmet checks in the Agent Readiness table above.

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

Access Clarity scores 23.7 — up to +15.3 composite points
Contract Quality scores 46.2 — up to +13.5 composite points
Contract Governance scores 4.5 — up to +11.5 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/adaptive-ml/apis.yml: open an issue on github.com/api-evangelist/adaptive-ml 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 →

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each 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 9

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

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 9

Agent Skills 3

Packaged agent skills for driving this provider's APIs from an AI assistant.

Log interactions and feedback for training/evaluation

AGENT SKILL

Run inference on an Adaptive Engine model

AGENT SKILL

Upload a large dataset via chunked upload

AGENT SKILL

Event Specifications 1

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

Adaptive Ml Webhooks

ASYNCAPI

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Adaptive Ml Openapi Overlay

3 actions · update · adaptive-ml-openapi-original.json

DERIVED

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

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

WellKnown

LLMsTxt

AgentSkill

AgenticAccess

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Lifecycle

Conventions

ErrorCatalog

Conformance

DataModel

Webhooks

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

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 3

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

ParentCompany

ParentCompany

Overlay

Overlay

Source (apis.yml)

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
- Artificial Intelligence
- LLM
- Fine-Tuning
- Reinforcement Learning
- Model Evaluation
- Inference
- OpenAI-Compatible
- MLOps
tags_raw:
- 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: CapabilityMap
  url: capabilities/adaptive-ml-capability-edges.yml
  name: Adaptive ML Business Capability Map
- 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

Adaptive ML API — frequently asked questions

Does Adaptive ML have an API?

Yes. APIs.io lists 9 APIs from Adaptive ML, including Adaptive ML artifacts::rest API, Adaptive ML Chunked Upload API and Adaptive ML Completions API, and 6 more.

Is there an OpenAPI specification for the Adaptive ML API?

Yes. APIs.io indexes 9 OpenAPI specifications for Adaptive ML, each linked for download from this page.

How do I authenticate with the Adaptive ML API?

Adaptive ML uses bearer-token authentication (http · 1 scheme). The details are profiled on APIs.io as Adaptive Ml Authentication.

Is the Adaptive ML API ready for AI agents?

Adaptive ML has a Kin Score of 42.4 out of 100 (developing) and an Agent Readiness score of 24.8 (agent-aware), scored by API Evangelist on 2026-10-31.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
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.

All 92 tools →

Call it yourself

curl for this page

This provider

curl "https://apis.io/api/v1/providers/adaptive-ml"

All providers

curl "https://apis.io/api/v1/providers?limit=25"

Every operation they expose

curl "https://apis.io/api/v1/providers/adaptive-ml/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/adaptive-ml/evidence"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.