Amazon Detective
Amazon Detective is a security investigation service that makes it easy to analyze, investigate, and quickly identify the root cause of potential security issues or suspicious activities. It automatically collects log data from your AWS resources and uses machine learning, statistical analysis, and graph theory to build interactive visualizations that help you conduct faster and more efficient security investigations.
Reference-quality API operations across every facet — a rich contract, published governance, transparent operations, and machine-readable commercial terms.
API Evangelist profiles Amazon Detective the way a machine reads it — 202 machine-readable artifacts across 7 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 Detective scores 74.1/100 (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 Detective
Each block below is one kind of artifact we hold for Amazon Detective. 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 7
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 Detective Datasources API
Data source package management operations
Amazon Detective Graph API
Behavior graph management operations
Amazon Detective Investigations API
Security investigation operations
Amazon Detective Invitations API
Invitation management for member accounts
Amazon Detective Members API
Member account management operations
Amazon Detective Organizations API
AWS Organizations integration operations
Amazon Detective Tags API
Resource tagging operations
Scroll within the panel for all 7 ·
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.
Amazon Detective
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).
Amazon Detective
OPEN COLLECTIONArazzo Workflows 7
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 Detective Archive a Resolved Investigation
Find a behavior graph's investigations, inspect one, and archive it when it has succeeded.
ARAZZOAmazon Detective Enable a Data Source Package
Start a data source package on a behavior graph and verify its ingest state.
ARAZZOAmazon Detective Onboard a Behavior Graph with Member Accounts
Create a new behavior graph and invite member accounts, then confirm their membership status.
ARAZZOAmazon Detective Member Accepts a Behavior Graph Invitation
List open invitations for a member account, accept one, and confirm enrollment.
ARAZZOAmazon Detective Run an Investigation and Collect Indicators
Start an investigation on an entity, poll until it completes, then list its indicators.
ARAZZOAmazon Detective Start Monitoring a Member Account
Invite a member account, enable data ingest for it, and confirm it is being monitored.
ARAZZOAmazon Detective Tag a Behavior Graph
Discover behavior graphs, apply tag values to one, and read the tags back.
ARAZZOScroll within the panel for all 7 ·
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 Detective 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 Detective Finops
FINOPSFeatures 8
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.
Behavior Graph Analysis
Automatically builds a behavior graph from log data using machine learning and graph theory to visualize security issues.
Security Investigations
Start and manage structured investigations on IAM users and roles with scoped time ranges and severity scoring.
Indicators of Compromise
Automatically identifies indicators including impossible travel, flagged IP addresses, new geolocations, new user agents, and TTP observations.
Multi-Account Support
Aggregate security data from multiple AWS accounts using an administrator account and member account model.
AWS Organizations Integration
Automatically enable new organization accounts as member accounts in the organization behavior graph.
Data Source Packages
Ingest security telemetry from CloudTrail, VPC Flow Logs, GuardDuty findings, EKS audit logs, and Active Directory audit logs.
Interactive Visualizations
Provides interactive graph visualizations in the AWS console to explore entity relationships and security events.
Investigation Severity Scoring
Assigns severity levels (Informational, Low, Medium, High, Critical) based on likelihood and impact of compromise indicators.
Scroll within the panel for all 8 ·
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 Detective 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 Detective API Rules
SPECTRALAmazon Detective API Rules
SPECTRALJSON Schema 54
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.
AcceptInvitationRequest
JSON SCHEMAAccount
JSON SCHEMAAdministrator
JSON SCHEMABatchGetGraphMemberDatasourcesRequest
JSON SCHEMABatchGetGraphMemberDatasourcesResponse
JSON SCHEMABatchGetMembershipDatasourcesRequest
JSON SCHEMABatchGetMembershipDatasourcesResponse
JSON SCHEMACreateGraphRequest
JSON SCHEMACreateGraphResponse
JSON SCHEMACreateMembersRequest
JSON SCHEMACreateMembersResponse
JSON SCHEMADatasourcePackageIngestDetail
JSON SCHEMADeleteGraphRequest
JSON SCHEMADeleteMembersRequest
JSON SCHEMADeleteMembersResponse
JSON SCHEMADescribeOrganizationConfigurationRequest
JSON SCHEMADescribeOrganizationConfigurationResponse
JSON SCHEMADisassociateMembershipRequest
JSON SCHEMAEnableOrganizationAdminAccountRequest
JSON SCHEMAGetInvestigationRequest
JSON SCHEMAGetInvestigationResponse
JSON SCHEMAGetMembersRequest
JSON SCHEMAGetMembersResponse
JSON SCHEMAGraph
JSON SCHEMAIndicator
JSON SCHEMAInvestigationDetail
JSON SCHEMAListDatasourcePackagesRequest
JSON SCHEMAListDatasourcePackagesResponse
JSON SCHEMAListGraphsRequest
JSON SCHEMAListGraphsResponse
JSON SCHEMAListIndicatorsRequest
JSON SCHEMAListIndicatorsResponse
JSON SCHEMAListInvestigationsRequest
JSON SCHEMAListInvestigationsResponse
JSON SCHEMAListInvitationsRequest
JSON SCHEMAListInvitationsResponse
JSON SCHEMAListMembersRequest
JSON SCHEMAListMembersResponse
JSON SCHEMAListOrganizationAdminAccountsRequest
JSON SCHEMAListOrganizationAdminAccountsResponse
JSON SCHEMAListTagsForResourceResponse
JSON SCHEMAMemberDetail
JSON SCHEMAMembershipDatasources
JSON SCHEMARejectInvitationRequest
JSON SCHEMAStartInvestigationRequest
JSON SCHEMAStartInvestigationResponse
JSON SCHEMAStartMonitoringMemberRequest
JSON SCHEMATagResourceRequest
JSON SCHEMATimestampForCollection
JSON SCHEMAUnprocessedAccount
JSON SCHEMAUnprocessedGraph
JSON SCHEMAUpdateDatasourcePackagesRequest
JSON SCHEMAUpdateInvestigationStateRequest
JSON SCHEMAUpdateOrganizationConfigurationRequest
JSON SCHEMAScroll within the panel for all 54 ·
JSON Structure 54
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 Detective Accept Invitation Request Structure
JSON STRUCTUREAmazon Detective Account Structure
JSON STRUCTUREAmazon Detective Administrator Structure
JSON STRUCTUREAmazon Detective Create Graph Request Structure
JSON STRUCTUREAmazon Detective Create Graph Response Structure
JSON STRUCTUREAmazon Detective Create Members Request Structure
JSON STRUCTUREAmazon Detective Create Members Response Structure
JSON STRUCTUREAmazon Detective Delete Graph Request Structure
JSON STRUCTUREAmazon Detective Delete Members Request Structure
JSON STRUCTUREAmazon Detective Delete Members Response Structure
JSON STRUCTUREAmazon Detective Get Investigation Request Structure
JSON STRUCTUREAmazon Detective Get Investigation Response Structure
JSON STRUCTUREAmazon Detective Get Members Request Structure
JSON STRUCTUREAmazon Detective Get Members Response Structure
JSON STRUCTUREAmazon Detective Graph Structure
JSON STRUCTUREAmazon Detective Indicator Structure
JSON STRUCTUREAmazon Detective Investigation Detail Structure
JSON STRUCTUREAmazon Detective List Graphs Request Structure
JSON STRUCTUREAmazon Detective List Graphs Response Structure
JSON STRUCTUREAmazon Detective List Indicators Request Structure
JSON STRUCTUREAmazon Detective List Indicators Response Structure
JSON STRUCTUREAmazon Detective List Investigations Request Structure
JSON STRUCTUREAmazon Detective List Investigations Response Structure
JSON STRUCTUREAmazon Detective List Invitations Request Structure
JSON STRUCTUREAmazon Detective List Invitations Response Structure
JSON STRUCTUREAmazon Detective List Members Request Structure
JSON STRUCTUREAmazon Detective List Members Response Structure
JSON STRUCTUREAmazon Detective Member Detail Structure
JSON STRUCTUREAmazon Detective Membership Datasources Structure
JSON STRUCTUREAmazon Detective Reject Invitation Request Structure
JSON STRUCTUREAmazon Detective Start Investigation Request Structure
JSON STRUCTUREAmazon Detective Start Investigation Response Structure
JSON STRUCTUREAmazon Detective Tag Resource Request Structure
JSON STRUCTUREAmazon Detective Timestamp For Collection Structure
JSON STRUCTUREAmazon Detective Unprocessed Account Structure
JSON STRUCTUREAmazon Detective Unprocessed Graph Structure
JSON STRUCTUREScroll within the panel for all 54 ·
Examples 54
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.
Scroll within the panel for all 54 ·
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 5
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.
Security Incident Investigation
Rapidly investigate security incidents by analyzing entity behavior, network activity, and API call patterns across your AWS environment.
Threat Hunting
Proactively search for suspicious activity and potential threats using behavior analysis and machine learning across your AWS accounts.
Root Cause Analysis
Identify the root cause of security issues by exploring the relationships between resources, users, and events in a behavior graph.
Compliance Forensics
Collect and preserve forensic evidence for compliance investigations using structured investigations with defined scope and time ranges.
Multi-Account Security Operations
Centrally manage security investigations across an AWS Organization from a single administrator account.
Resources
Every other property we hold for Amazon Detective — 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 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 9
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 9 ·
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 4
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/amazon-detective · machine-readable index on apis.io