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, Artificial Intelligence, 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

29.4/100 thin ▬ flat Agent 20/100 agent aware saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

1 APIs

Company Artificial Intelligence Machine-Learning MLOps Model Deployment Model Inference Data Science Model Registry

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 29.4/100 · thin

Contract Quality 10.4 / 25

Developer Ergonomics 6.7 / 20

Access Clarity 1.3 / 20

Operational Transparency 3.4 / 13

Contract Governance 0.0 / 12

Discoverability 7.6 / 10

Agent readiness — 20/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

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

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 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.

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/modelbit: 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 →

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)

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
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - 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
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: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- MLOps
- Model Deployment
- Model Inference
- Data Science
- Model Registry
tags_raw:
- 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
  tags_raw:
  - 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

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/modelbit"

All providers

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

Every operation they expose

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

How their score was established

curl "https://apis.io/api/v1/providers/modelbit/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.