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 APIs on the APIs.io network, including Blocks API, Pipeline Runs API, Pipeline Schedules API, and 1 more. Tagged areas include Data Pipelines, Orchestration, ETL, Data Engineering, and Open Source.
Mage’s developer surface includes authentication, documentation, engineering blog, and 9 more developer resources.
Kin Score
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 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Mage API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Mage Ai Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Mage Ai Finops
FINOPSSecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API