Amazon Neptune
Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. It supports property graph and RDF models, with multiple query languages including Gremlin, SPARQL, and openCypher.
Reference-quality API operations across every facet — a rich contract, published governance, transparent operations, and machine-readable commercial terms.
API Evangelist profiles Amazon Neptune the way a machine reads it — 579 machine-readable artifacts across 29 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 Neptune scores 76.4/100 (exemplar), 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 Amazon Neptune
Each block below is one kind of artifact we hold for Amazon Neptune. 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 29
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 Neptune ?Action=AddTagsToResource API
The ?Action=AddTagsToResource API from Amazon Neptune — 1 operation(s) for ?action=addtagstoresource.
Amazon Neptune ?Action=ListTagsForResource API
The ?Action=ListTagsForResource API from Amazon Neptune — 1 operation(s) for ?action=listtagsforresource.
Amazon Neptune Data Processing API
ML data processing job operations
Amazon Neptune DB Clusters API
Operations for managing Neptune DB clusters
Amazon Neptune DB Instances API
Operations for managing Neptune DB instances
Amazon Neptune Engine API
Operations for querying engine version information
Amazon Neptune Events API
Operations for managing event subscriptions and viewing events
Amazon Neptune Global Clusters API
Operations for managing Neptune global database clusters
Amazon Neptune Graph Snapshots API
Operations for managing graph snapshots
Amazon Neptune Graphs API
Operations for managing Neptune Analytics graph resources
Amazon Neptune Gremlin API
Execute Gremlin graph traversal queries
Amazon Neptune Import Tasks API
Operations for importing data into graphs
Amazon Neptune Inference Endpoints API
ML inference endpoint management operations
Amazon Neptune Loader API
Bulk data loading operations
Amazon Neptune Maintenance API
Operations for managing pending maintenance actions
Amazon Neptune ML API
Machine learning operations
Amazon Neptune Model Training API
ML model training job operations
Amazon Neptune Model Transform API
ML model transform job operations
Amazon Neptune openCypher API
Execute openCypher graph queries
Amazon Neptune Parameter Groups API
Operations for managing DB and cluster parameter groups
Amazon Neptune Private Graph Endpoints API
Operations for managing private graph endpoints in VPCs
Amazon Neptune Property Graph Stream API
Change data capture for property graph (Gremlin/openCypher) data
Amazon Neptune Query API
Submit Gremlin graph traversal queries
Amazon Neptune Snapshots API
Operations for managing cluster snapshots
Amazon Neptune SPARQL API
Execute SPARQL queries against RDF data
Amazon Neptune SPARQL Stream API
Change data capture for RDF (SPARQL) data
Amazon Neptune Status API
Query engine status and statistics
Amazon Neptune Streams API
Change data capture stream operations
Amazon Neptune Subnet Groups API
Operations for managing DB subnet groups
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Postman Collections 9
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.
Amazon Neptune Data API
POSTMANScroll within the panel for all 9 ·
Open Collections 9
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).
Amazon Neptune Neptune Analytics API
OPEN COLLECTIONAmazon Neptune Data API
OPEN COLLECTIONAmazon Neptune Neptune Gremlin API
OPEN COLLECTIONAmazon Neptune Neptune Loader API
OPEN COLLECTIONAmazon Neptune Management API
OPEN COLLECTIONAmazon Neptune Neptune ML API
OPEN COLLECTIONAmazon Neptune Neptune openCypher API
OPEN COLLECTIONAmazon Neptune Neptune SPARQL API
OPEN COLLECTIONAmazon Neptune Neptune Streams API
OPEN COLLECTIONScroll within the panel for all 9 ·
Arazzo Workflows 25
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.
Amazon Neptune Analytics Cancel Import Task
Inspect a Neptune Analytics import task and cancel it only if it is still running.
ARAZZOAmazon Neptune Analytics Create Graph and Wait
Create a Neptune Analytics graph and poll until it becomes AVAILABLE.
ARAZZOAmazon Neptune Analytics Create Graph from Import Task
Create a Neptune Analytics graph populated from S3 and poll the import task to completion.
ARAZZOAmazon Neptune Analytics Create Private Graph Endpoint
Create a VPC private endpoint for a Neptune Analytics graph and poll until it is AVAILABLE.
ARAZZOAmazon Neptune Analytics Reset Graph
Empty a Neptune Analytics graph of all data, then wait until it is AVAILABLE again.
ARAZZOAmazon Neptune Analytics Snapshot and Restore
Snapshot a Neptune Analytics graph, wait for the snapshot, then restore it into a new graph.
ARAZZOAmazon Neptune Bulk Loader Start and Poll
Start a bulk loader job from S3 and poll its status until the load completes.
ARAZZOAmazon Neptune Gremlin Add and Count Vertices
Add a labeled vertex over the Gremlin HTTP endpoint, then count vertices to confirm the write landed.
ARAZZOAmazon Neptune Cancel a Running Gremlin Query
Look up a specific Gremlin query's status, then cancel it if it has not already been cancelled.
ARAZZOAmazon Neptune Gremlin Explain then Profile
Inspect a Gremlin query's execution plan, then profile it with runtime statistics.
ARAZZOAmazon Neptune Gremlin Query with Status Check
Run a Gremlin traversal via the Data API and confirm the engine and query queue are healthy.
ARAZZOAmazon Neptune Cancel a Running Bulk Load
Look up a bulk load job's status and cancel it only if it is still in progress.
ARAZZOAmazon Neptune Bulk Load Job Lifecycle
Start a bulk load via the Loader endpoint, verify it appears in the job list, and poll its status.
ARAZZOAmazon Neptune ML Create and Verify Inference Endpoint
Create an ML inference endpoint from a trained model and poll it until it is in service.
ARAZZOAmazon Neptune ML Data Processing to Model Training
Run a Neptune ML data processing job to completion, then launch and poll model training.
ARAZZOAmazon Neptune ML Model Transform Job
Launch a Neptune ML model transform job from a trained model and poll it to completion.
ARAZZOAmazon Neptune ML Stop Data Processing Job
Inspect a Neptune ML data processing job and stop it with cleanup only if it is still running.
ARAZZOAmazon Neptune openCypher Create and Read Node
Create a node over the openCypher HTTP endpoint, then read nodes back to confirm the write.
ARAZZOAmazon Neptune openCypher Explain then Execute
Inspect an openCypher query's execution plan, then run it for real.
ARAZZOAmazon Neptune openCypher Query with Status Check
Run an openCypher query via the Data API and inspect the openCypher query queue.
ARAZZOAmazon Neptune Property Graph Statistics Refresh
Trigger a property graph statistics refresh and read back the updated graph summary counts.
ARAZZOAmazon Neptune Property Graph Stream Replay
Read property graph change records from the start of the stream, then continue from the last event id.
ARAZZOAmazon Neptune SPARQL Query with Status Check
Run a SPARQL query via the Data API and inspect the SPARQL query queue.
ARAZZOAmazon Neptune SPARQL Statistics Refresh
Trigger an RDF statistics refresh and read back the updated triple-store counts.
ARAZZOAmazon Neptune SPARQL Update and Verify
Run a SPARQL INSERT DATA update, then run a SELECT query to confirm the triples landed.
ARAZZOScroll within the panel for all 25 ·
Pricing 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.
Amazon Neptune 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.
Amazon Neptune Finops
FINOPSFeatures 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.
Serverless Graph Database
Automatically scales compute and memory resources based on workload demands without requiring capacity planning.
Multiple Query Language Support
Supports Apache TinkerPop Gremlin, openCypher, and SPARQL 1.1 query languages for property graph and RDF models.
High Availability
Multi-AZ deployment with up to 15 read replicas, automated failover, and continuous backups with point-in-time recovery up to 35 days.
Global Database
Multi-region replication with sub-second latency across up to five secondary clusters for global applications.
Neptune Analytics
Memory-optimized graph analytics engine for analyzing tens of billions of relationships within seconds with vector search capabilities.
GraphRAG Support
Fully managed GraphRAG with Amazon Bedrock Knowledge Bases for AI-enhanced graph retrieval augmented generation.
Machine Learning on Graphs
Native graph neural network support via Neptune ML powered by Amazon SageMaker for link prediction and node classification.
ACID Transactions
Full ACID transaction support ensuring data consistency and integrity across graph operations.
AWS Security Integration
VPC network isolation, IAM resource permissions, AWS KMS encryption, TLS in-transit encryption, and CloudWatch audit logging.
Auto-Expanding Storage
Storage automatically grows up to 128 TiB with self-healing architecture spanning three availability zones.
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Semantic Vocabularies 10
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.
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Spectral 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 Neptune API Rules
SPECTRALAmazon Neptune API Rules
SPECTRALJSON Schema 191
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 Neptune Analytics Graph
JSON SCHEMACreateDataProcessingJobRequest
JSON SCHEMACreateDBClusterRequest
JSON SCHEMACreateDBInstanceRequest
JSON SCHEMACreateGraphInput
JSON SCHEMACreateGraphSnapshotInput
JSON SCHEMACreateGraphUsingImportTaskInput
JSON SCHEMACreateInferenceEndpointRequest
JSON SCHEMACreateMLEndpointInput
JSON SCHEMACreateModelTrainingJobRequest
JSON SCHEMACreateModelTransformJobRequest
JSON SCHEMACreatePrivateGraphEndpointInput
JSON SCHEMAAmazon Neptune DB Cluster
JSON SCHEMAAmazon Neptune DB Instance
JSON SCHEMADBCluster
JSON SCHEMADBClusterMember
JSON SCHEMADBClusterRole
JSON SCHEMADBClusterSnapshot
JSON SCHEMADBInstance
JSON SCHEMADBSubnetGroup
JSON SCHEMADescribeDBClusterSnapshotsResponse
JSON SCHEMADescribeDBClustersResponse
JSON SCHEMADescribeDBInstancesResponse
JSON SCHEMADescribeDBSubnetGroupsResponse
JSON SCHEMAEndpointCreatedResponse
JSON SCHEMAEndpointListResponse
JSON SCHEMAEndpointStatusResponse
JSON SCHEMAEngineStatusOutput
JSON SCHEMAErrorResponse
JSON SCHEMAExecuteGremlinProfileInput
JSON SCHEMAExecuteGremlinQueryInput
JSON SCHEMAExecuteGremlinQueryOutput
JSON SCHEMAExecuteOpenCypherExplainInput
JSON SCHEMAExecuteOpenCypherQueryInput
JSON SCHEMAExecuteOpenCypherQueryOutput
JSON SCHEMAExecuteSparqlQueryInput
JSON SCHEMAAmazon Neptune Graph Element
JSON SCHEMAGraphOutput
JSON SCHEMAGraphSnapshotOutput
JSON SCHEMAGremlinErrorResponse
JSON SCHEMAGremlinQueryRequest
JSON SCHEMAGremlinQueryResponse
JSON SCHEMAGremlinQueryStatus
JSON SCHEMAGremlinQueryStatusDetail
JSON SCHEMAGremlinQueryStatusList
JSON SCHEMAGremlinQueryStatusOutput
JSON SCHEMAImportTaskOutput
JSON SCHEMAJobCreatedResponse
JSON SCHEMAJobListResponse
JSON SCHEMAJobStatusResponse
JSON SCHEMAListGraphSnapshotsOutput
JSON SCHEMAListGraphsOutput
JSON SCHEMAListImportTasksOutput
JSON SCHEMAAmazon Neptune Loader Job
JSON SCHEMALoaderErrorResponse
JSON SCHEMALoaderJobStatusOutput
JSON SCHEMALoaderListResponse
JSON SCHEMALoaderRequest
JSON SCHEMALoaderStartResponse
JSON SCHEMALoaderStatusResponse
JSON SCHEMAAmazon Neptune ML Job
JSON SCHEMAMLEndpointStatusOutput
JSON SCHEMAMLJobStatusOutput
JSON SCHEMAModifyDBClusterRequest
JSON SCHEMAModifyDBInstanceRequest
JSON SCHEMAOpenCypherErrorResponse
JSON SCHEMAOpenCypherNode
JSON SCHEMAOpenCypherQueryRequest
JSON SCHEMAOpenCypherQueryResponse
JSON SCHEMAOpenCypherQueryStatusDetail
JSON SCHEMAOpenCypherQueryStatusList
JSON SCHEMAOpenCypherQueryStatusOutput
JSON SCHEMAOpenCypherRelationship
JSON SCHEMAPrivateGraphEndpointOutput
JSON SCHEMAPropertyGraphData
JSON SCHEMAPropertygraphStatisticsOutput
JSON SCHEMAPropertygraphStreamOutput
JSON SCHEMAPropertygraphStreamRecord
JSON SCHEMAPropertyGraphStreamResponse
JSON SCHEMARestoreDBClusterFromSnapshotRequest
JSON SCHEMARestoreGraphFromSnapshotInput
JSON SCHEMASparqlErrorResponse
JSON SCHEMASparqlQueryOutput
JSON SCHEMASparqlQueryStatusDetail
JSON SCHEMASparqlQueryStatusList
JSON SCHEMASparqlRequestBody
JSON SCHEMASparqlSelectResponse
JSON SCHEMASparqlStatisticsOutput
JSON SCHEMASparqlStreamOutput
JSON SCHEMASparqlStreamRecord
JSON SCHEMASparqlStreamResponse
JSON SCHEMAStartLoaderJobInput
JSON SCHEMAStartLoaderJobOutput
JSON SCHEMAStartMLDataProcessingJobInput
JSON SCHEMAStartMLModelTrainingJobInput
JSON SCHEMAStartMLModelTransformJobInput
JSON SCHEMAAmazon Neptune Stream Record
JSON SCHEMAStreamEventId
JSON SCHEMAUpdateGraphInput
JSON SCHEMACreateGraphInput
JSON SCHEMACreateGraphSnapshotInput
JSON SCHEMACreateGraphUsingImportTaskInput
JSON SCHEMACreatePrivateGraphEndpointInput
JSON SCHEMAGraphOutput
JSON SCHEMAGraphSnapshotOutput
JSON SCHEMAImportTaskOutput
JSON SCHEMAListGraphSnapshotsOutput
JSON SCHEMAListGraphsOutput
JSON SCHEMAListImportTasksOutput
JSON SCHEMAPrivateGraphEndpointOutput
JSON SCHEMARestoreGraphFromSnapshotInput
JSON SCHEMAUpdateGraphInput
JSON SCHEMACreateMLEndpointInput
JSON SCHEMAEngineStatusOutput
JSON SCHEMAExecuteGremlinProfileInput
JSON SCHEMAExecuteGremlinQueryInput
JSON SCHEMAExecuteGremlinQueryOutput
JSON SCHEMAExecuteOpenCypherExplainInput
JSON SCHEMAExecuteOpenCypherQueryInput
JSON SCHEMAExecuteOpenCypherQueryOutput
JSON SCHEMAExecuteSparqlQueryInput
JSON SCHEMAGremlinQueryStatusOutput
JSON SCHEMAGremlinQueryStatus
JSON SCHEMALoaderJobStatusOutput
JSON SCHEMAMLEndpointStatusOutput
JSON SCHEMAMLJobStatusOutput
JSON SCHEMAOpenCypherQueryStatusOutput
JSON SCHEMAPropertygraphStatisticsOutput
JSON SCHEMAPropertygraphStreamOutput
JSON SCHEMAPropertygraphStreamRecord
JSON SCHEMASparqlQueryOutput
JSON SCHEMASparqlStatisticsOutput
JSON SCHEMASparqlStreamOutput
JSON SCHEMAStartLoaderJobInput
JSON SCHEMAStartLoaderJobOutput
JSON SCHEMAStartMLDataProcessingJobInput
JSON SCHEMAStartMLModelTrainingJobInput
JSON SCHEMAStartMLModelTransformJobInput
JSON SCHEMAGremlinErrorResponse
JSON SCHEMAGremlinQueryRequest
JSON SCHEMAGremlinQueryResponse
JSON SCHEMAGremlinQueryStatusDetail
JSON SCHEMAGremlinQueryStatusList
JSON SCHEMALoaderErrorResponse
JSON SCHEMALoaderListResponse
JSON SCHEMALoaderRequest
JSON SCHEMALoaderStartResponse
JSON SCHEMALoaderStatusResponse
JSON SCHEMACreateDBClusterRequest
JSON SCHEMACreateDBInstanceRequest
JSON SCHEMADBClusterMember
JSON SCHEMADBClusterRole
JSON SCHEMADBCluster
JSON SCHEMADBClusterSnapshot
JSON SCHEMADBInstance
JSON SCHEMADBSubnetGroup
JSON SCHEMADescribeDBClusterSnapshotsResponse
JSON SCHEMADescribeDBClustersResponse
JSON SCHEMADescribeDBInstancesResponse
JSON SCHEMADescribeDBSubnetGroupsResponse
JSON SCHEMAModifyDBClusterRequest
JSON SCHEMAModifyDBInstanceRequest
JSON SCHEMARestoreDBClusterFromSnapshotRequest
JSON SCHEMACreateDataProcessingJobRequest
JSON SCHEMACreateInferenceEndpointRequest
JSON SCHEMACreateModelTrainingJobRequest
JSON SCHEMACreateModelTransformJobRequest
JSON SCHEMAEndpointCreatedResponse
JSON SCHEMAEndpointListResponse
JSON SCHEMAEndpointStatusResponse
JSON SCHEMAJobCreatedResponse
JSON SCHEMAJobListResponse
JSON SCHEMAJobStatusResponse
JSON SCHEMAOpenCypherErrorResponse
JSON SCHEMAOpenCypherNode
JSON SCHEMAOpenCypherQueryRequest
JSON SCHEMAOpenCypherQueryResponse
JSON SCHEMAOpenCypherQueryStatusDetail
JSON SCHEMAOpenCypherQueryStatusList
JSON SCHEMAOpenCypherRelationship
JSON SCHEMASparqlErrorResponse
JSON SCHEMASparqlQueryStatusDetail
JSON SCHEMASparqlQueryStatusList
JSON SCHEMASparqlRequestBody
JSON SCHEMASparqlSelectResponse
JSON SCHEMAPropertyGraphData
JSON SCHEMAPropertyGraphStreamRecord
JSON SCHEMAPropertyGraphStreamResponse
JSON SCHEMASparqlStreamRecord
JSON SCHEMASparqlStreamResponse
JSON SCHEMAStreamEventId
JSON SCHEMAScroll within the panel for all 191 ·
JSON Structure 100
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 Neptune Analytics Graph Structure
JSON STRUCTUREAmazon Neptune Db Cluster Structure
JSON STRUCTUREAmazon Neptune Db Instance Structure
JSON STRUCTUREAmazon Neptune Graph Element Structure
JSON STRUCTUREAmazon Neptune Loader Job Structure
JSON STRUCTUREAmazon Neptune Ml Job Structure
JSON STRUCTUREAmazon Neptune Stream Record Structure
JSON STRUCTUREAmazon Neptune Structure
JSON STRUCTUREAnalytics Create Graph Input Structure
JSON STRUCTUREAnalytics Create Graph Snapshot Input Structure
JSON STRUCTUREAnalytics Create Graph Using Import Task Input Structure
JSON STRUCTUREAnalytics Create Private Graph Endpoint Input Structure
JSON STRUCTUREAnalytics Graph Output Structure
JSON STRUCTUREAnalytics Graph Snapshot Output Structure
JSON STRUCTUREAnalytics Import Task Output Structure
JSON STRUCTUREAnalytics List Graph Snapshots Output Structure
JSON STRUCTUREAnalytics List Graphs Output Structure
JSON STRUCTUREAnalytics List Import Tasks Output Structure
JSON STRUCTUREAnalytics Private Graph Endpoint Output Structure
JSON STRUCTUREAnalytics Restore Graph From Snapshot Input Structure
JSON STRUCTUREAnalytics Update Graph Input Structure
JSON STRUCTUREData Create Ml Endpoint Input Structure
JSON STRUCTUREData Engine Status Output Structure
JSON STRUCTUREData Execute Gremlin Profile Input Structure
JSON STRUCTUREData Execute Gremlin Query Input Structure
JSON STRUCTUREData Execute Gremlin Query Output Structure
JSON STRUCTUREData Execute Open Cypher Explain Input Structure
JSON STRUCTUREData Execute Open Cypher Query Input Structure
JSON STRUCTUREData Execute Open Cypher Query Output Structure
JSON STRUCTUREData Execute Sparql Query Input Structure
JSON STRUCTUREData Gremlin Query Status Output Structure
JSON STRUCTUREData Gremlin Query Status Structure
JSON STRUCTUREData Loader Job Status Output Structure
JSON STRUCTUREData Ml Endpoint Status Output Structure
JSON STRUCTUREData Ml Job Status Output Structure
JSON STRUCTUREData Open Cypher Query Status Output Structure
JSON STRUCTUREData Propertygraph Statistics Output Structure
JSON STRUCTUREData Propertygraph Stream Output Structure
JSON STRUCTUREData Propertygraph Stream Record Structure
JSON STRUCTUREData Sparql Query Output Structure
JSON STRUCTUREData Sparql Statistics Output Structure
JSON STRUCTUREData Sparql Stream Output Structure
JSON STRUCTUREData Start Loader Job Input Structure
JSON STRUCTUREData Start Loader Job Output Structure
JSON STRUCTUREData Start Ml Data Processing Job Input Structure
JSON STRUCTUREData Start Ml Model Training Job Input Structure
JSON STRUCTUREData Start Ml Model Transform Job Input Structure
JSON STRUCTUREGremlin Gremlin Error Response Structure
JSON STRUCTUREGremlin Gremlin Query Request Structure
JSON STRUCTUREGremlin Gremlin Query Response Structure
JSON STRUCTUREGremlin Gremlin Query Status Detail Structure
JSON STRUCTUREGremlin Gremlin Query Status List Structure
JSON STRUCTURELoader Loader Error Response Structure
JSON STRUCTURELoader Loader List Response Structure
JSON STRUCTURELoader Loader Request Structure
JSON STRUCTURELoader Loader Start Response Structure
JSON STRUCTURELoader Loader Status Response Structure
JSON STRUCTUREManagement Create Db Cluster Request Structure
JSON STRUCTUREManagement Create Db Instance Request Structure
JSON STRUCTUREManagement Db Cluster Member Structure
JSON STRUCTUREManagement Db Cluster Role Structure
JSON STRUCTUREManagement Db Cluster Snapshot Structure
JSON STRUCTUREManagement Db Cluster Structure
JSON STRUCTUREManagement Db Instance Structure
JSON STRUCTUREManagement Db Subnet Group Structure
JSON STRUCTUREManagement Describe Db Clusters Response Structure
JSON STRUCTUREManagement Describe Db Instances Response Structure
JSON STRUCTUREManagement Describe Db Subnet Groups Response Structure
JSON STRUCTUREManagement Modify Db Cluster Request Structure
JSON STRUCTUREManagement Modify Db Instance Request Structure
JSON STRUCTUREMl Create Data Processing Job Request Structure
JSON STRUCTUREMl Create Inference Endpoint Request Structure
JSON STRUCTUREMl Create Model Training Job Request Structure
JSON STRUCTUREMl Create Model Transform Job Request Structure
JSON STRUCTUREMl Endpoint Created Response Structure
JSON STRUCTUREMl Endpoint List Response Structure
JSON STRUCTUREMl Endpoint Status Response Structure
JSON STRUCTUREMl Job Created Response Structure
JSON STRUCTUREMl Job List Response Structure
JSON STRUCTUREMl Job Status Response Structure
JSON STRUCTUREOpencypher Open Cypher Error Response Structure
JSON STRUCTUREOpencypher Open Cypher Node Structure
JSON STRUCTUREOpencypher Open Cypher Query Request Structure
JSON STRUCTUREOpencypher Open Cypher Query Response Structure
JSON STRUCTUREOpencypher Open Cypher Query Status Detail Structure
JSON STRUCTUREOpencypher Open Cypher Query Status List Structure
JSON STRUCTUREOpencypher Open Cypher Relationship Structure
JSON STRUCTURESparql Sparql Error Response Structure
JSON STRUCTURESparql Sparql Query Status Detail Structure
JSON STRUCTURESparql Sparql Query Status List Structure
JSON STRUCTURESparql Sparql Request Body Structure
JSON STRUCTURESparql Sparql Select Response Structure
JSON STRUCTUREStreams Property Graph Data Structure
JSON STRUCTUREStreams Property Graph Stream Record Structure
JSON STRUCTUREStreams Property Graph Stream Response Structure
JSON STRUCTUREStreams Sparql Stream Record Structure
JSON STRUCTUREStreams Sparql Stream Response Structure
JSON STRUCTUREStreams Stream Event Id Structure
JSON STRUCTUREScroll within the panel for all 100 ·
Examples 178
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.
Ml Job List Response Example
EXAMPLEScroll within the panel for all 178 ·
Security Posture 4
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 8
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.
Knowledge Graphs and GraphRAG
Build knowledge graphs to enhance AI accuracy, comprehensiveness, and explainability using GraphRAG with Amazon Bedrock.
Fraud Detection
Model transaction and account relationship networks to detect fraudulent patterns in near real-time using graph traversals.
Customer 360
Build unified customer profile graphs linking purchases, preferences, and interactions for personalization and marketing.
Cybersecurity and Threat Detection
Model IT infrastructure as a connected graph to detect attack paths, anomalies, and proactive threats.
Recommendation Engines
Power product and content recommendation engines by traversing user-item relationship graphs.
Social Networks
Model and query highly connected social graph data for applications requiring relationship traversal at scale.
Network and IT Operations
Map network topology, dependencies, and configuration relationships for operations and impact analysis.
Supply Chain Management
Model complex supply chain relationships and dependencies for optimization and risk analysis.
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Resources
Every other property we hold for Amazon Neptune — 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 8
Reference material describing how the API behaves
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Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 37
Pagination, idempotency, versioning, errors, and events
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Build 5
SDKs, sample code, and the tooling you integrate with
Access & Security 6
Authentication, authorization, and security posture
Operate 6
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
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