CrewAI Cloud
CrewAI Cloud (CrewAI AMP) is the managed Agent Management Platform for deploying, monitoring, scaling, and governing CrewAI multi-agent workflows in production. AMP exposes a per-crew REST API for kickoff, status, inputs, and human-in-the-loop resume operations, plus webhook streaming for task, step, and crew events. The platform ships in two deployment modes — AMP Cloud (managed, multi-tenant at app.crewai.com) and AMP Factory (self-hosted on AWS, Azure, or GCP) — and layers RBAC, SSO, secrets manager federation (AWS/Azure/GCP), agent and tool repositories, a marketplace, A2A communication, automations and triggers, traces with PII redaction, and observability exports on top of the open-source CrewAI framework.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles CrewAI Cloud the way a machine reads it — 57 machine-readable artifacts across 6 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 — CrewAI Cloud scores 65.2/100 (strong), with a separate agent-readiness read of 54/100 (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.
How we profile CrewAI Cloud
Each block below is one kind of artifact we hold for CrewAI Cloud. 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 6
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.
CrewAI AMP Webhook Streaming
Outbound event streaming for AMP crew executions. When you kick off a crew you can supply three callback URLs — taskWebhookUrl (fired after each task completes), stepWebhookUrl ...
CrewAI Enterprise MCP Server
Model Context Protocol server published by CrewAI Inc. that exposes AMP crew deployment operations and status tracking to MCP-compatible agents and IDEs. Lets Claude, Cursor, an...
CrewAI Cloud Inputs API
Discover the input parameters this crew accepts.
CrewAI Cloud Kickoff API
Launch a crew execution.
CrewAI Cloud Resume API
Deliver human-in-the-loop feedback on a paused task.
CrewAI Cloud Status API
Inspect execution progress and retrieve results.
Postman Collections 1
A runnable collection turns the contract into something a developer can execute in seconds. We profile them because the fastest way to trust an API is to make a real call against it.
Ready-to-run Postman collections for exercising this provider's APIs.
CrewAI AMP REST API
POSTMANOpen 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).
CrewAI AMP REST API
OPEN COLLECTIONArazzo Workflows 5
Real integrations are rarely a single call. Arazzo describes the multi-step sequences — auth, then create, then confirm — so both a human and an agent can follow the choreography, not just the endpoints.
Multi-step API workflows described with the Arazzo specification.
CrewAI AMP Discover Inputs and Kick Off
Discover the inputs a crew expects, then launch an execution with them.
ARAZZOCrewAI AMP Full Run With Result
Discover inputs, kick off a crew, poll to completion, and return the result.
ARAZZOCrewAI AMP Kick Off and Poll Until Complete
Launch a crew execution and poll its status until it completes or errors.
ARAZZOCrewAI AMP Kick Off With Human-in-the-Loop Review
Kick off a crew, poll until it pauses for review, deliver feedback, and poll again.
ARAZZOCrewAI AMP Resume a Paused Execution
Inspect an existing execution, deliver human feedback, then poll until it settles.
ARAZZOPricing 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.
Crewai Cloud 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.
Crewai Cloud Finops
FINOPSFeatures 25
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.
Scroll within the panel for all 25 ·
Event Specifications 1
Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.
AsyncAPI definitions for this provider's event-driven and streaming APIs.
CrewAI AMP Webhook Streaming
Outbound webhook events published by CrewAI AMP during crew execution. Three callback URLs can be supplied per kickoff — `taskWebhookUrl`, `stepWebhookUrl`, and `crewWebhookUrl`...
ASYNCAPISemantic 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.
Crewai Cloud Context
JSON-LDSpectral Rules 3
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.
JSON Schema 3
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.
CrewAI AMP Kickoff
JSON SCHEMACrewAI AMP Resume Request
JSON SCHEMACrewAI AMP Kickoff Status
JSON SCHEMAJSON Structure 1
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.
Crewai Cloud Kickoff Structure
JSON STRUCTUREExamples 3
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.
Crewai Cloud Kickoff Example
EXAMPLECrewai Cloud Resume Example
EXAMPLECrewai Cloud Status Example
EXAMPLESecurity Posture 3
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.
Resources
Every other property we hold for CrewAI Cloud — 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 4
Portal, sign-up, and the first successful call
Documentation 26
Reference material describing how the API behaves
Scroll within the panel for all 26 ·
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 6
Pagination, idempotency, versioning, errors, and events
Build 7
SDKs, sample code, and the tooling you integrate with
Scroll within the panel for all 7 ·
Access & Security 6
Authentication, authorization, and security posture
Operate 4
Status, limits, changes, and where to get help
Commercial 6
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
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