Mage

Mage is an open-source data pipeline tool for building, running, and managing data pipelines from transformer, data loader, and data exporter blocks. The self-hosted Mage app exposes a REST API for triggering pipeline runs and managing pipelines, blocks, pipeline runs, and schedules; Mage Pro is the managed cloud edition.

Mage publishes 4 API contracts indexed on the APIs.io network, including Blocks API, Pipeline Runs API, Pipeline Schedules API, and 1 more. Tagged areas include Data Pipeline, Orchestration, ETL, Data Engineering, and Open Source.

The Mage catalog on APIs.io includes 1 Spectral governance ruleset.

Mage’s developer surface includes authentication, documentation, engineering blog, and 9 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

28.0/100 thin ▬ flat Agent 22/100 agent aware Front door AI 5/6 prominent Heartbeat 65/100 slowing open core · Apache-2.0 Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessFreemiumSelf serve

1 published contract

Data Pipeline Orchestration ETL Data Engineering Open Source

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 28.0/100 · thin

Contract Quality 7.9 / 19

Developer Ergonomics 4.8 / 15

Access Clarity 1.0 / 15

Operational Transparency 2.1 / 10

Contract Governance 1.2 / 9

Discoverability 4.3 / 8

Regulatory Posture 2.6 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 22/100 · 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 0 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 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

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

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 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.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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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 Ask about this →
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) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document Ask about this →
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) Ask about this →

8 more unmet checks in the Agent Readiness table above.

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

Access Clarity scores 6.4 — up to +18.7 composite points Ask about this →
Contract Quality scores 42.0 — up to +14.5 composite points Ask about this →
Developer Ergonomics scores 32.1 — up to +13.6 composite points Ask about this →

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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/mage-ai/apis.yml: open an issue on github.com/api-evangelist/mage-ai 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.

OpenAPI

measured — observed by APIs.io (published)

APIs 4

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

Mage Blocks API

Manage data loader, transformer, and data exporter blocks.

Mage Pipeline Runs API

Trigger pipeline runs and read run status.

Mage Pipeline Schedules API

Manage triggers (schedule, event, and API triggers).

Mage Pipelines API

Manage pipelines.

Open Collections 5

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

Mage Blocks API

OPEN COLLECTION

Mage Blocks Pipeline Runs API

OPEN COLLECTION

Mage Blocks Pipeline Schedules API

OPEN COLLECTION

Mage Blocks Pipelines API

OPEN COLLECTION

Mage API

OPEN COLLECTION

Mage API pricing

Not yet checked against Mage's own pricing page. Compiled by API Evangelist on 2026-06-20 from www.mage.ai/pricing; confirm before you rely on a figure. A free plan or tier is listed.

Plan	Price
Open Source free	—
Mage Pro Starter subscription	—
Mage Pro Team subscription	—
Mage Pro Plus subscription	—
Mage Pro Enterprise enterprise	—

Plan details, limits and sources →

Rate limits

Self-Hosted HTTP Requests: governed by host resources requests
Block Runs (Mage Pro): see plan allowance block runs
AI Tokens (Mage Pro): see plan allowance tokens

Compiled by API Evangelist, not yet checked against Mage's documentation. All 4 limits →

Pricing Plans 1

Published pricing tiers and plan structures.

Mage Plans Pricing

5 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Mage Rate Limits

4 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Mage Finops

FINOPS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.

Mage API Rules

57 rules · 55 error-severity 1 warn-severity 1 info-severity

SPECTRAL

Security Posture 3

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

Mage Authentication

apiKey · 2 schemes

SECURITY

Mage Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Mage Vulnerability Disclosure

security.txt · contact published

SECURITY

Agentic Access (API Evangelist recommendations) 1

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

Mage Agentic Access

15 operations · 9 acting

AGENTIC

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 3

Authentication, authorization, and security posture

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

FinOps

FinOps

Company 3

The organization behind the API

LinkedIn

Website

Website

Blog

Blog

Source (apis.yml)

aid: mage-ai
url: https://raw.githubusercontent.com/api-evangelist/mage-ai/refs/heads/main/apis.yml
name: Mage
kind: company
description: Mage is an open-source data pipeline tool for building, running, and managing data pipelines from transformer,
  data loader, and data exporter blocks. The self-hosted Mage app exposes a REST API for triggering pipeline runs and managing
  pipelines, blocks, pipeline runs, and schedules; Mage Pro is the managed cloud edition.
deliveryModel:
  model: open-core
  license: Apache-2.0
  license_evidence:
    repo: mage-ai/mage-ai
    spdx: Apache-2.0
    stars: 8825
  open_source: true
  commercial: true
  callable_host: false
  label: Open core · an OSS project plus a commercial hosted product
  confidence: medium
  source:
  - openapi
  - pricing
  - repository-license
  generated: '2026-09-25'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Freemium · Self-serve signup
  confidence: medium
  try_now_blocked_by: loopback
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-13'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/mage-ai.png
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-03
x-docs-hosting: vercel
tags:
- Data Pipeline
- Orchestration
- ETL
- Data Engineering
- Open Source
tags_raw:
- Data Pipelines
- Orchestration
- ETL
- Data Engineering
- Open Source
- Open-Source
created: '2026-06-20'
modified: '2026-06-20'
specificationVersion: '0.23'
apis:
- aid: mage-ai:mage-ai-blocks-api
  name: Mage Blocks API
  description: Manage data loader, transformer, and data exporter blocks.
  humanURL: https://docs.mage.ai/orchestration/triggers/trigger-pipeline-api
  baseURL: http://localhost:6789/api
  tags:
  - Blocks
  properties:
  - type: OpenAPI
    url: openapi/mage-ai-blocks-api-openapi.yml
  - type: Documentation
    url: https://docs.mage.ai/orchestration/triggers/trigger-pipeline-api
  - type: APIReference
    url: https://docs.mage.ai/extensibility/api-reference/pipeline-runs/overview
  - type: PostmanCollection
    url: collections/mage-ai.postman_collection.json
  - type: OpenCollection
    url: collections/mage-ai.opencollection.json
  - type: GitHub
    url: https://github.com/mage-ai/mage-ai
  - type: Documentation
    url: https://docs.mage.ai/extensibility/api-reference/overview
  - type: APIReference
    url: https://docs.mage.ai/extensibility/api-reference/pipelines/create-pipeline
- aid: mage-ai:mage-ai-pipeline-runs-api
  name: Mage Pipeline Runs API
  description: Trigger pipeline runs and read run status.
  humanURL: https://docs.mage.ai/orchestration/triggers/trigger-pipeline-api
  baseURL: http://localhost:6789/api
  tags:
  - Pipeline Runs
  properties:
  - type: OpenAPI
    url: openapi/mage-ai-pipeline-runs-api-openapi.yml
  - type: Documentation
    url: https://docs.mage.ai/orchestration/triggers/trigger-pipeline-api
  - type: APIReference
    url: https://docs.mage.ai/extensibility/api-reference/pipeline-runs/overview
  - type: PostmanCollection
    url: collections/mage-ai.postman_collection.json
  - type: OpenCollection
    url: collections/mage-ai.opencollection.json
  - type: GitHub
    url: https://github.com/mage-ai/mage-ai
  - type: Documentation
    url: https://docs.mage.ai/extensibility/api-reference/overview
  - type: APIReference
    url: https://docs.mage.ai/extensibility/api-reference/pipelines/create-pipeline
- aid: mage-ai:mage-ai-pipeline-schedules-api
  name: Mage Pipeline Schedules API
  description: Manage triggers (schedule, event, and API triggers).
  humanURL: https://docs.mage.ai/orchestration/triggers/trigger-pipeline-api
  baseURL: http://localhost:6789/api
  tags:
  - Pipeline Schedules
  properties:
  - type: OpenAPI
    url: openapi/mage-ai-pipeline-schedules-api-openapi.yml
  - type: Documentation
    url: https://docs.mage.ai/orchestration/triggers/trigger-pipeline-api
  - type: APIReference
    url: https://docs.mage.ai/extensibility/api-reference/pipeline-runs/overview
  - type: PostmanCollection
    url: collections/mage-ai.postman_collection.json
  - type: OpenCollection
    url: collections/mage-ai.opencollection.json
  - type: GitHub
    url: https://github.com/mage-ai/mage-ai
  - type: Documentation
    url: https://docs.mage.ai/extensibility/api-reference/overview
  - type: APIReference
    url: https://docs.mage.ai/extensibility/api-reference/pipelines/create-pipeline
- aid: mage-ai:mage-ai-pipelines-api
  name: Mage Pipelines API
  description: Manage pipelines.
  humanURL: https://docs.mage.ai/orchestration/triggers/trigger-pipeline-api
  baseURL: http://localhost:6789/api
  tags:
  - Pipelines
  properties:
  - type: OpenAPI
    url: openapi/mage-ai-pipelines-api-openapi.yml
  - type: Documentation
    url: https://docs.mage.ai/orchestration/triggers/trigger-pipeline-api
  - type: APIReference
    url: https://docs.mage.ai/extensibility/api-reference/pipeline-runs/overview
  - type: PostmanCollection
    url: collections/mage-ai.postman_collection.json
  - type: OpenCollection
    url: collections/mage-ai.opencollection.json
  - type: GitHub
    url: https://github.com/mage-ai/mage-ai
  - type: Documentation
    url: https://docs.mage.ai/extensibility/api-reference/overview
  - type: APIReference
    url: https://docs.mage.ai/extensibility/api-reference/pipelines/create-pipeline
common:
- type: AgenticAccess
  url: agentic-access/mage-ai-agentic-access.yml
- type: VulnerabilityDisclosure
  url: security/mage-ai-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/mage-ai-domain-security.yml
- type: Authentication
  url: authentication/mage-ai-authentication.yml
- type: GitHubOrganization
  url: https://github.com/mage-ai
- type: LinkedIn
  url: https://www.linkedin.com/company/magetech
- type: Website
  url: https://www.mage.ai
- type: Documentation
  url: https://docs.mage.ai
- type: Plans
  url: plans/mage-ai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/mage-ai-rate-limits.yml
- type: FinOps
  url: finops/mage-ai-finops.yml
- url: https://www.mage.ai/blog
  type: Blog
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

Mage API — frequently asked questions

Does Mage have an API?

Yes. APIs.io lists 4 APIs from Mage, including Mage Blocks API, Mage Pipeline Runs API and Mage Pipeline Schedules API, and 1 more.

Is there an OpenAPI specification for the Mage API?

Yes. APIs.io indexes 4 OpenAPI specifications for Mage, each linked for download from this page.

How do I authenticate with the Mage API?

Mage uses bearer-token authentication (apiKey · 2 schemes). The details are profiled on APIs.io as Mage Authentication.

How much does the Mage API cost?

APIs.io lists 5 pricing plans for Mage, with each plan's price, limits and inclusions under Pricing on this page.

Is the Mage API ready for AI agents?

Mage has a Kin Score of 28.0 out of 100 (thin) and an Agent Readiness score of 22.1 (agent-aware), scored by API Evangelist on 2026-11-13.

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