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.
Amazon AppFlow is listed with 3 APIs on the APIs.io network: Connectors API, Flows API, and Tags API. Tagged areas include Amazon Web Services, Connectors, Dataflows, Data Integration, and ETL.
The Amazon AppFlow catalog on APIs.io includes 1 JSON-LD context and 3 Spectral governance rulesets.
Amazon AppFlow’s developer surface includes CLI, changelog, getting-started guide, authentication, developer portal, documentation, support, and 49 more developer resources.
Kin Score
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.
APIs 3
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
Postman Collections 3
Ready-to-run Postman collections for exercising this provider's APIs.
Open Collections 3
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Amazon AppFlow Connectors API
OPEN COLLECTIONAmazon AppFlow Connectors Flows API
OPEN COLLECTIONAmazon AppFlow Connectors Tags API
OPEN COLLECTIONAmazon AppFlow API pricing
Prices published by Amazon AppFlow, read 2026-10-28 from aws.amazon.com/appflow/pricing/.
| Plan | Price |
|---|---|
| Flow run | $0.001 per flow run |
| Data processing | $0.02 per GB |
Plan details, limits and sources →
Rate limits
- Flows per account: Number of flows per account: 1,000
- Flow runs per month: Number of flow runs per month: 10 million
- Concurrent flow runs: Number of concurrent flow runs at any time: 1000
Billed by: flow run · FinOps profile →
Pricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Amazon AppFlow Rate Limits
RATE LIMITSTerms of Service 1
What its API terms permit and prohibit, quoted from its own page.
Privacy & Data 1
Its role, the data it processes, retention and transfers, quoted from its own privacy page.
Compliance 1
Attestations the provider states (SOC 2, ISO 27001 and others), quoted from its own trust page. APIs.io verifies none of them.
AI Preferences 1
Its stance on AI training, inference and agents, quoted from its own pages.
FinOps 1
Cost, billing, and metering signals for API financial operations.
Amazon AppFlow Finops
FINOPSFeatures 10
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.
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Semantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Amazon Appflow Context
JSON-LDSpectral Rules 3
Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.
Amazon AppFlow — jsonschema rules
SPECTRALAmazon AppFlow API Rules
SPECTRALAmazon AppFlow API Rules
SPECTRALOpenAPI Overlays 1
Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.
Amazon AppFlow Openapi Overlay
DERIVEDJSON Schema 57
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 for all 57
JSON Structure 57
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 for all 57
Examples 57
Example request and response payloads for these APIs.
Amazon AppFlow Example
EXAMPLEAppflow Task Example
EXAMPLEScroll for all 57
Security Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access (API Evangelist recommendations) 1
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 6
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 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.
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Resources
Get Started 6
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 10
Pagination, idempotency, versioning, errors, and events
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Build 5
SDKs, sample code, and the tooling you integrate with
Access & Security 7
Authentication, authorization, and security posture
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Learn 1
Tutorials, courses, talks, and written guidance
Operate 8
Status, limits, changes, and where to get help
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Commercial 5
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 5
Properties that don't map to a standard resource type
Source (apis.yml)
Amazon AppFlow API — frequently asked questions
Does Amazon AppFlow have an API?
Yes. APIs.io lists 3 APIs from Amazon AppFlow, including Amazon AppFlow Connectors API, Amazon AppFlow Flows API and Amazon AppFlow Tags API.
Is there an OpenAPI specification for the Amazon AppFlow API?
Yes. APIs.io indexes 3 OpenAPI specifications for Amazon AppFlow, each linked for download from this page.
How do I authenticate with the Amazon AppFlow API?
Amazon AppFlow uses bearer-token authentication (apiKey · 1 scheme). The details are profiled on APIs.io as Amazon AppFlow Authentication.
How much does the Amazon AppFlow API cost?
Amazon AppFlow publishes its prices; its Flow run plan is $0.001 per flow run as of 2026-10-28. APIs.io lists 2 pricing plans for Amazon AppFlow, with each plan's price, limits and inclusions under Pricing on this page.
Is the Amazon AppFlow API ready for AI agents?
Amazon AppFlow has a Kin Score of 74.0 out of 100 (exemplar) and an Agent Readiness score of 36.4 (agent-ready), scored by API Evangelist on 2026-11-13.
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