Activepieces
Activepieces is an open-source, no-code automation platform that enables users to streamline workflows by connecting various applications and automating tasks. It supports over 400 MCP servers and integrations, allowing developers to build custom TypeScript-based pieces. The platform offers AI agents, MCPs, and workflow automation capabilities with both cloud and self-hosted deployment options.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Activepieces the way a machine reads it — 125 machine-readable artifacts across 9 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Activepieces scores 65.4/100 (strong), with a separate agent-readiness read of 48/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Activepieces
Each block below is one kind of artifact we hold for Activepieces. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 9
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Activepieces Connections API
Manage third-party app connections
Activepieces Flow Runs API
Access execution history and run details
Activepieces Flows API
Manage automation workflows
Activepieces Folders API
Organize flows with folders
Activepieces Pieces API
Manage integration pieces
Activepieces Projects API
Project management
Activepieces Templates API
Flow templates
Activepieces Users API
User management
Activepieces Worker Machines API
Worker queue metrics
Scroll within the panel for all 9 ·
Open Collections 1
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Activepieces API
OPEN COLLECTIONPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Activepieces Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Activepieces Finops
FINOPSFeatures 12
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
Visual Flow Builder
No-code drag-and-drop interface for building automation workflows with triggers and actions.
400+ Integration Pieces
Over 400 pre-built integrations (pieces) written in TypeScript, available as MCP servers for AI agents.
AI Agents
Native AI agent creation and orchestration within automation workflows.
MCP Servers
Every piece automatically becomes an MCP server for use with AI agents and LLMs like Claude.
Custom Pieces
Build custom TypeScript-based integration pieces and publish them to npm.
Flow Versioning
Version control for flows with publish/draft states and rollback capabilities.
Human-in-the-Loop
Add approval steps, delays, and human decision points in automation workflows.
Self-Hosting
Deploy on Docker, Kubernetes, AWS, GCP, or any cloud provider with full data control.
Git Sync
Synchronize flows with Git repositories for version control and CI/CD integration.
Webhook Triggers
Trigger flows via webhooks from any external system or service.
REST API
Full programmatic access to manage flows, connections, projects, and execution history.
Flow Templates
Share and reuse flow templates across projects and teams.
Scroll within the panel for all 12 ·
Semantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Activepieces Context
JSON-LDSpectral Rules 2
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Activepieces API Rules
SPECTRALActivepieces API Rules
SPECTRALJSON Schema 25
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
ConnectionList
JSON SCHEMAConnection
JSON SCHEMACreateFlowRequest
JSON SCHEMACreateFolderRequest
JSON SCHEMACreateProjectRequest
JSON SCHEMACreateTemplateRequest
JSON SCHEMAFlowList
JSON SCHEMAFlowRunList
JSON SCHEMAFlowRun
JSON SCHEMAFlow
JSON SCHEMAFolderList
JSON SCHEMAFolder
JSON SCHEMAPiece
JSON SCHEMAProjectList
JSON SCHEMAProject
JSON SCHEMAQueueMetrics
JSON SCHEMATemplateList
JSON SCHEMATemplate
JSON SCHEMAUpdateFlowRequest
JSON SCHEMAUpdateFolderRequest
JSON SCHEMAUpdateProjectRequest
JSON SCHEMAUpdateUserRequest
JSON SCHEMAUpsertConnectionRequest
JSON SCHEMAUserList
JSON SCHEMAUser
JSON SCHEMAScroll within the panel for all 25 ·
JSON Structure 25
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Activepieces Connection List Structure
JSON STRUCTUREActivepieces Connection Structure
JSON STRUCTUREActivepieces Create Flow Request Structure
JSON STRUCTUREActivepieces Create Folder Request Structure
JSON STRUCTUREActivepieces Create Project Request Structure
JSON STRUCTUREActivepieces Create Template Request Structure
JSON STRUCTUREActivepieces Flow List Structure
JSON STRUCTUREActivepieces Flow Run List Structure
JSON STRUCTUREActivepieces Flow Run Structure
JSON STRUCTUREActivepieces Flow Structure
JSON STRUCTUREActivepieces Folder List Structure
JSON STRUCTUREActivepieces Folder Structure
JSON STRUCTUREActivepieces Piece Structure
JSON STRUCTUREActivepieces Project List Structure
JSON STRUCTUREActivepieces Project Structure
JSON STRUCTUREActivepieces Queue Metrics Structure
JSON STRUCTUREActivepieces Template List Structure
JSON STRUCTUREActivepieces Template Structure
JSON STRUCTUREActivepieces Update Flow Request Structure
JSON STRUCTUREActivepieces Update Folder Request Structure
JSON STRUCTUREActivepieces Update Project Request Structure
JSON STRUCTUREActivepieces Update User Request Structure
JSON STRUCTUREActivepieces Upsert Connection Request Structure
JSON STRUCTUREActivepieces User List Structure
JSON STRUCTUREActivepieces User Structure
JSON STRUCTUREScroll within the panel for all 25 ·
Examples 25
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Activepieces Flow Example
EXAMPLEActivepieces Folder Example
EXAMPLEActivepieces Piece Example
EXAMPLEActivepieces Project Example
EXAMPLEActivepieces User Example
EXAMPLEScroll within the panel for all 25 ·
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 7
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
What developers build with this provider.
Marketing Automation
Automate lead capture, email sequences, and CRM updates from marketing platforms.
Sales Operations
Sync contacts, deals, and activities between CRM, email, and communication tools.
Data Synchronization
Keep data in sync across databases, spreadsheets, and SaaS applications.
AI Agent Orchestration
Use Activepieces as an MCP server to give AI agents access to 400+ integrations.
IT Automation
Automate user provisioning, notifications, and system integrations.
E-Commerce Operations
Automate order processing, inventory updates, and customer notifications.
Developer Integration Platform
Embed Activepieces as a white-label automation platform in SaaS products.
Scroll within the panel for all 7 ·
Integrations 8
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
Pre-built integrations with other platforms and tools.
GitHub
Trigger workflows on GitHub events and automate repository operations.
Gmail
Send emails, parse inbound mail, and automate email workflows.
Slack
Send notifications, create channels, and respond to Slack events.
OpenAI
Integrate GPT models for AI-powered automation and content generation.
Google Sheets
Read and write data to Google Sheets for data synchronization workflows.
Airtable
Sync records and trigger workflows from Airtable database changes.
Salesforce
Create and update Salesforce records from automation workflows.
Stripe
Trigger flows on payment events and automate billing operations.
Scroll within the panel for all 8 ·
Solutions 4
Packaged solutions the provider offers on top of the raw API surface.
Packaged solutions this provider offers.
Community Edition
Free, open-source self-hosted deployment with unlimited flows and no task limits.
Plus
Cloud plan at $25/mo with 10 active flows, AI agents, and 500 AI credits.
Business
Cloud plan at $150/mo with 50 active flows, team collaboration, and 1,000 AI credits.
Enterprise
Custom pricing with unlimited flows, SSO, audit logs, and custom AI model support.
Resources
Every other property we hold for Activepieces — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 2
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 2
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 1
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/activepieces · machine-readable index on apis.io