Modelbit

Modelbit is an MLOps platform (backed by Homebrew) that lets data scientists rapidly deploy and manage machine-learning models. You train and register a model in a notebook, then deploy a Python function with the first-party modelbit Python SDK; Modelbit packages the environment and serves the model as a versioned REST inference endpoint supporting single and batch requests, sync and async responses, per-request timeouts, and API-key access control. The platform adds a model registry, datasets and feature stores, training jobs, Git-backed deployments, warehouse integration (Snowflake, dbt), custom Python environments, and log/alert forwarding to webhooks, Datadog, and Slack.

Modelbit publishes 1 API on the APIs.io network. Tagged areas include Company, Ai, Machine Learning, MLOps, and Model Deployment.

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

Modelbit’s developer surface includes documentation, API reference, getting-started guide, signup flow, authentication, changelog, and 9 more developer resources.

🌐 Visit website 📡 Source on GitHub
30.0/100 thin ▬ flat Agent 15/100 agent aware Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessSelf serve
1 APIs
CompanyAiMachine LearningMLOpsModel DeploymentModel InferenceData ScienceModel Registry

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 30.0/100 · thin
Contract Quality 5.7 / 25
Developer Ergonomics 8.7 / 20
Commercial Clarity 2.6 / 20
Operational Transparency 3.8 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Agent readiness — 15/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 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 6 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/modelbit: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 1

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

Modelbit Deployment REST API

Every Modelbit deployment is exposed as a versioned REST inference endpoint. POST an inference request (single or batch) to the deployment URL and receive predictions; access ca...

Event Specifications 1

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

Modelbit Webhooks

ASYNCAPI

Security Posture 2

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

Modelbit Authentication

apiKey · 2 schemes

SECURITY

Modelbit Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

GettingStarted
GettingStarted
 SignUp
SignUp

Documentation 2

Reference material describing how the API behaves

Documentation
Documentation
 APIReference
APIReference

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt
LLMsTxt

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Conventions
Conventions
 Webhooks
Webhooks
 Lifecycle
Lifecycle

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization
 Packages
Packages
 SDKs
SDKs

Access & Security 2

Authentication, authorization, and security posture

Authentication
Authentication
 DomainSecurity
DomainSecurity

Operate 1

Status, limits, changes, and where to get help

ChangeLog
ChangeLog

Company 1

The organization behind the API

Website
Website

Source (apis.yml)

apis.yml Raw ↑ 
aid: modelbit
name: Modelbit
description: Modelbit is an MLOps platform (backed by Homebrew) that lets data scientists rapidly deploy and manage machine-learning
  models. You train and register a model in a notebook, then deploy a Python function with the first-party modelbit Python
  SDK; Modelbit packages the environment and serves the model as a versioned REST inference endpoint supporting single and
  batch requests, sync and async responses, per-request timeouts, and API-key access control. The platform adds a model registry,
  datasets and feature stores, training jobs, Git-backed deployments, warehouse integration (Snowflake, dbt), custom Python
  environments, and log/alert forwarding to webhooks, Datadog, and Slack.
url: https://raw.githubusercontent.com/api-evangelist/modelbit/refs/heads/main/apis.yml
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://doc.modelbit.com/img/modelbit-logo-with-name.svg
x-type: company
x-source: vc-portfolio
x-backed-by:
- homebrew
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Ai
- Machine Learning
- MLOps
- Model Deployment
- Model Inference
- Data Science
- Model Registry
apis:
- name: Modelbit Deployment REST API
  description: Every Modelbit deployment is exposed as a versioned REST inference endpoint. POST an inference request (single
    or batch) to the deployment URL and receive predictions; access can be gated with API keys.
  humanURL: https://doc.modelbit.com/deployments/calling-the-rest-api/
  baseURL: https://app.modelbit.com
  tags:
  - Machine Learning
  - Inference
  - MLOps
  properties:
  - type: APIReference
    url: https://doc.modelbit.com/api-reference/
  - type: Authentication
    url: authentication/modelbit-authentication.yml
  - type: Conventions
    url: conventions/modelbit-conventions.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.modelbit.com
- type: Documentation
  url: https://doc.modelbit.com/
- type: APIReference
  url: https://doc.modelbit.com/api-reference/
- type: GettingStarted
  url: https://doc.modelbit.com/api-reference/setup/
- type: SignUp
  url: https://app.modelbit.com/
- type: GitHubOrganization
  url: https://github.com/modelbit
- type: Packages
  url: packages/modelbit-packages.yml
- type: SDKs
  url: packages/modelbit-packages.yml
- type: Authentication
  url: authentication/modelbit-authentication.yml
- type: Conventions
  url: conventions/modelbit-conventions.yml
- type: Webhooks
  url: asyncapi/modelbit-webhooks.yml
- type: Lifecycle
  url: lifecycle/modelbit-lifecycle.yml
- type: ChangeLog
  url: changelog/modelbit-changelog.yml
- type: LLMsTxt
  url: llms/modelbit-llms.txt
- type: DomainSecurity
  url: security/modelbit-domain-security.yml
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 8
  pass: local-v1