Amazon AppFlow
Amazon AppFlow is a fully managed integration service that enables you to securely transfer data between SaaS applications like Salesforce, SAP, Zendesk, Slack, and ServiceNow, and AWS services like Amazon S3 and Amazon Redshift, in just a few clicks.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Amazon AppFlow the way a machine reads it — 210 machine-readable artifacts across 3 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 — Amazon AppFlow scores 62.3/100 (strong), with a separate agent-readiness read of 67/100 (agent native). 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 Amazon AppFlow
Each block below is one kind of artifact we hold for Amazon AppFlow. 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 3
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.
Amazon AppFlow Connectors API
Operations for managing connector profiles and connector registrations
Amazon AppFlow Flows API
Operations for creating and managing data flows
Amazon AppFlow Tags API
Operations for managing resource tags
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
amazon-appflow-mcp.yml
MCP SERVERFeatures 10
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.
No-Code Data Flows
Create data flows between SaaS applications and AWS services without writing code.
Scheduled Transfers
Schedule data flows to run at configurable intervals using cron or rate expressions.
Event-Triggered Flows
Trigger data flows in response to business events from connected SaaS applications.
On-Demand Execution
Manually trigger data flows for ad-hoc data transfers.
Data Transformations
Apply field mapping, filtering, masking, merging, and arithmetic transformations during transfer.
Incremental Data Pull
Transfer only new or changed records since the last flow run using datetime-based incremental pulls.
Custom Connectors
Register custom Lambda-backed connectors for proprietary or unsupported data sources.
Data Catalog Integration
Automatically catalog transferred data in AWS Glue Data Catalog for discoverability.
KMS Encryption
Encrypt data in transit and at rest using AWS KMS customer-managed keys.
Private Link Support
Transfer data privately over AWS PrivateLink without traversing the public internet.
Scroll within the panel for all 10 ·
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.
Amazon Appflow 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.
Amazon AppFlow API Rules
SPECTRALAmazon AppFlow API Rules
SPECTRALJSON Schema 57
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.
Amazon AppFlow Flow Definition
JSON SCHEMACancelFlowExecutionsRequest
JSON SCHEMACancelFlowExecutionsResponse
JSON SCHEMAConnectorDetail
JSON SCHEMAConnectorEntityField
JSON SCHEMAConnectorEntity
JSON SCHEMAConnectorProfile
JSON SCHEMACreateConnectorProfileRequest
JSON SCHEMACreateConnectorProfileResponse
JSON SCHEMACreateFlowRequest
JSON SCHEMACreateFlowResponse
JSON SCHEMADeleteConnectorProfileRequest
JSON SCHEMADeleteFlowRequest
JSON SCHEMADescribeConnectorEntityRequest
JSON SCHEMADescribeConnectorEntityResponse
JSON SCHEMADescribeConnectorProfilesRequest
JSON SCHEMADescribeConnectorProfilesResponse
JSON SCHEMADescribeConnectorRequest
JSON SCHEMADescribeConnectorResponse
JSON SCHEMADescribeConnectorsRequest
JSON SCHEMADescribeConnectorsResponse
JSON SCHEMADescribeFlowExecutionRecordsRequest
JSON SCHEMADescribeFlowExecutionRecordsResponse
JSON SCHEMADescribeFlowRequest
JSON SCHEMADescribeFlowResponse
JSON SCHEMADestinationFlowConfig
JSON SCHEMAExecutionDetails
JSON SCHEMAExecutionResult
JSON SCHEMAFlowDefinition
JSON SCHEMAFlowExecution
JSON SCHEMAListConnectorEntitiesRequest
JSON SCHEMAListConnectorEntitiesResponse
JSON SCHEMAListConnectorsRequest
JSON SCHEMAListConnectorsResponse
JSON SCHEMAListFlowsRequest
JSON SCHEMAListFlowsResponse
JSON SCHEMAListTagsForResourceResponse
JSON SCHEMAMetadataCatalogConfig
JSON SCHEMARegisterConnectorRequest
JSON SCHEMARegisterConnectorResponse
JSON SCHEMAResetConnectorMetadataCacheRequest
JSON SCHEMAScheduledTriggerProperties
JSON SCHEMASourceFlowConfig
JSON SCHEMAStartFlowRequest
JSON SCHEMAStartFlowResponse
JSON SCHEMAStopFlowRequest
JSON SCHEMAStopFlowResponse
JSON SCHEMATagResourceRequest
JSON SCHEMATask
JSON SCHEMATriggerConfig
JSON SCHEMAUnregisterConnectorRequest
JSON SCHEMAUpdateConnectorProfileRequest
JSON SCHEMAUpdateConnectorProfileResponse
JSON SCHEMAUpdateConnectorRegistrationRequest
JSON SCHEMAUpdateConnectorRegistrationResponse
JSON SCHEMAUpdateFlowRequest
JSON SCHEMAUpdateFlowResponse
JSON SCHEMAScroll within the panel for all 57 ·
JSON Structure 57
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.
Amazon Appflow Structure
JSON STRUCTUREAppflow Cancel Flow Executions Request Structure
JSON STRUCTUREAppflow Cancel Flow Executions Response Structure
JSON STRUCTUREAppflow Connector Detail Structure
JSON STRUCTUREAppflow Connector Entity Field Structure
JSON STRUCTUREAppflow Connector Entity Structure
JSON STRUCTUREAppflow Connector Profile Structure
JSON STRUCTUREAppflow Create Connector Profile Request Structure
JSON STRUCTUREAppflow Create Connector Profile Response Structure
JSON STRUCTUREAppflow Create Flow Request Structure
JSON STRUCTUREAppflow Create Flow Response Structure
JSON STRUCTUREAppflow Delete Connector Profile Request Structure
JSON STRUCTUREAppflow Delete Flow Request Structure
JSON STRUCTUREAppflow Describe Connector Entity Request Structure
JSON STRUCTUREAppflow Describe Connector Entity Response Structure
JSON STRUCTUREAppflow Describe Connector Profiles Request Structure
JSON STRUCTUREAppflow Describe Connector Profiles Response Structure
JSON STRUCTUREAppflow Describe Connector Request Structure
JSON STRUCTUREAppflow Describe Connector Response Structure
JSON STRUCTUREAppflow Describe Connectors Request Structure
JSON STRUCTUREAppflow Describe Connectors Response Structure
JSON STRUCTUREAppflow Describe Flow Request Structure
JSON STRUCTUREAppflow Describe Flow Response Structure
JSON STRUCTUREAppflow Destination Flow Config Structure
JSON STRUCTUREAppflow Execution Details Structure
JSON STRUCTUREAppflow Execution Result Structure
JSON STRUCTUREAppflow Flow Definition Structure
JSON STRUCTUREAppflow Flow Execution Structure
JSON STRUCTUREAppflow List Connector Entities Request Structure
JSON STRUCTUREAppflow List Connector Entities Response Structure
JSON STRUCTUREAppflow List Connectors Request Structure
JSON STRUCTUREAppflow List Connectors Response Structure
JSON STRUCTUREAppflow List Flows Request Structure
JSON STRUCTUREAppflow List Flows Response Structure
JSON STRUCTUREAppflow List Tags For Resource Response Structure
JSON STRUCTUREAppflow Metadata Catalog Config Structure
JSON STRUCTUREAppflow Register Connector Request Structure
JSON STRUCTUREAppflow Register Connector Response Structure
JSON STRUCTUREAppflow Reset Connector Metadata Cache Request Structure
JSON STRUCTUREAppflow Scheduled Trigger Properties Structure
JSON STRUCTUREAppflow Source Flow Config Structure
JSON STRUCTUREAppflow Start Flow Request Structure
JSON STRUCTUREAppflow Start Flow Response Structure
JSON STRUCTUREAppflow Stop Flow Request Structure
JSON STRUCTUREAppflow Stop Flow Response Structure
JSON STRUCTUREAppflow Tag Resource Request Structure
JSON STRUCTUREAppflow Task Structure
JSON STRUCTUREAppflow Trigger Config Structure
JSON STRUCTUREAppflow Unregister Connector Request Structure
JSON STRUCTUREAppflow Update Connector Profile Request Structure
JSON STRUCTUREAppflow Update Connector Profile Response Structure
JSON STRUCTUREAppflow Update Connector Registration Request Structure
JSON STRUCTUREAppflow Update Connector Registration Response Structure
JSON STRUCTUREAppflow Update Flow Request Structure
JSON STRUCTUREAppflow Update Flow Response Structure
JSON STRUCTUREScroll within the panel for all 57 ·
Examples 57
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.
Amazon Appflow Example
EXAMPLEAppflow Task Example
EXAMPLEScroll within the panel for all 57 ·
Security 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.
Use Cases 6
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.
Customer 360
Consolidate marketing, sales, and support data from Salesforce, Marketo, and ServiceNow into Amazon Redshift or S3 for unified customer analytics.
ML Data Preparation
Ingest SaaS data into Amazon SageMaker Data Wrangler for machine learning feature engineering and model training.
Data Lake Ingestion
Load SaaS application data into Amazon S3 data lakes for centralized analytics and reporting.
Real-Time Analytics
Transfer Salesforce data in near real-time to Amazon Redshift for operational dashboards and BI reporting.
Cross-Application Automation
Automate workflows by triggering data flows when records are created or updated in SaaS applications.
Data Compliance
Securely extract and archive regulated data from SaaS applications into encrypted AWS storage for compliance auditing.
Integrations 12
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
Pre-built integrations with other platforms and tools.
Salesforce
Bidirectional data transfer between Salesforce CRM and AWS services.
SAP
Transfer data from SAP ERP systems via SAPOData connector.
ServiceNow
Sync ServiceNow ITSM data to AWS for analytics and reporting.
Slack
Export Slack workspace data to Amazon S3.
Zendesk
Transfer Zendesk customer support tickets and data to AWS.
Marketo
Import Marketo marketing automation data into Amazon Redshift or S3.
Google Analytics
Export Google Analytics data to Amazon S3 for custom analytics pipelines.
Amazon S3
Use Amazon S3 as both source and destination for AppFlow data flows.
Amazon Redshift
Load SaaS data directly into Amazon Redshift for SQL analytics.
Amazon EventBridge
Send AppFlow data to Amazon EventBridge for event-driven architectures.
AWS Glue
Catalog AppFlow output data automatically in AWS Glue Data Catalog.
Amazon SageMaker
Feed SaaS data into SageMaker Data Wrangler for ML preparation.
Scroll within the panel for all 12 ·
Resources
Every other property we hold for Amazon AppFlow — 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 5
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 6
Authentication, authorization, and security posture
Learn 1
Tutorials, courses, talks, and written guidance
Operate 5
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/amazon-appflow · machine-readable index on apis.io