Amazon Managed Service for Prometheus
Amazon Managed Service for Prometheus is a serverless, Prometheus-compatible monitoring service for container metrics. It automatically scales as your monitoring needs increase, works with open-source tools, and integrates with Amazon EKS and other container environments. The service provides fully managed workspaces, alert manager definitions, and rule group namespaces for Prometheus-compatible monitoring at scale.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Amazon Managed Service for Prometheus the way a machine reads it — 261 machine-readable artifacts across 2 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 Managed Service for Prometheus scores 66.9/100 (strong), 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.
How we profile Amazon Managed Service for Prometheus
Each block below is one kind of artifact we hold for Amazon Managed Service for Prometheus. 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 2
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 Managed Service for Prometheus Tags API
The Tags API from Amazon Managed Service for Prometheus — 2 operation(s) for tags.
Amazon Managed Service for Prometheus Workspaces API
The Workspaces API from Amazon Managed Service for Prometheus — 7 operation(s) for workspaces.
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 Managed Prometheus 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.
Features 6
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 Prometheus
Run Prometheus-compatible monitoring without managing servers, scaling, or high availability.
Alert Manager Definitions
Configure Prometheus AlertManager rules for routing, grouping, and suppressing alerts.
Rule Groups Namespaces
Define and manage Prometheus recording and alerting rules organized in namespaces.
Managed Scrapers
Create managed scrapers to automatically collect metrics from Amazon EKS clusters.
Logging Configuration
Configure logging for Prometheus workspaces to capture operational events.
Prometheus-Compatible APIs
Use standard Prometheus remote write and query APIs with existing tooling and clients.
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.
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.
JSON Schema 79
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.
AccessDeniedException
JSON SCHEMAAlertManagerDefinitionData
JSON SCHEMAAlertManagerDefinitionDescription
JSON SCHEMAAlertManagerDefinitionStatusCode
JSON SCHEMAAlertManagerDefinitionStatus
JSON SCHEMAConflictException
JSON SCHEMACreateAlertManagerDefinitionRequest
JSON SCHEMACreateAlertManagerDefinitionResponse
JSON SCHEMACreateLoggingConfigurationRequest
JSON SCHEMACreateLoggingConfigurationResponse
JSON SCHEMACreateRuleGroupsNamespaceRequest
JSON SCHEMACreateRuleGroupsNamespaceResponse
JSON SCHEMACreateWorkspaceRequest
JSON SCHEMACreateWorkspaceResponse
JSON SCHEMADeleteAlertManagerDefinitionRequest
JSON SCHEMADeleteLoggingConfigurationRequest
JSON SCHEMADeleteRuleGroupsNamespaceRequest
JSON SCHEMADeleteWorkspaceRequest
JSON SCHEMADescribeAlertManagerDefinitionRequest
JSON SCHEMADescribeAlertManagerDefinitionResponse
JSON SCHEMADescribeLoggingConfigurationRequest
JSON SCHEMADescribeLoggingConfigurationResponse
JSON SCHEMADescribeRuleGroupsNamespaceRequest
JSON SCHEMADescribeRuleGroupsNamespaceResponse
JSON SCHEMADescribeWorkspaceRequest
JSON SCHEMADescribeWorkspaceResponse
JSON SCHEMAIdempotencyToken
JSON SCHEMAInternalServerException
JSON SCHEMAListRuleGroupsNamespacesRequest
JSON SCHEMAListRuleGroupsNamespacesResponse
JSON SCHEMAListTagsForResourceRequest
JSON SCHEMAListTagsForResourceResponse
JSON SCHEMAListWorkspacesRequestMaxResultsInteger
JSON SCHEMAListWorkspacesRequest
JSON SCHEMAListWorkspacesResponse
JSON SCHEMALogGroupArn
JSON SCHEMALoggingConfigurationMetadata
JSON SCHEMALoggingConfigurationStatusCode
JSON SCHEMALoggingConfigurationStatus
JSON SCHEMAPaginationToken
JSON SCHEMAPutAlertManagerDefinitionRequest
JSON SCHEMAPutAlertManagerDefinitionResponse
JSON SCHEMAPutRuleGroupsNamespaceRequest
JSON SCHEMAPutRuleGroupsNamespaceResponse
JSON SCHEMAResourceNotFoundException
JSON SCHEMARuleGroupsNamespaceArn
JSON SCHEMARuleGroupsNamespaceData
JSON SCHEMARuleGroupsNamespaceDescription
JSON SCHEMARuleGroupsNamespaceName
JSON SCHEMARuleGroupsNamespaceStatusCode
JSON SCHEMARuleGroupsNamespaceStatus
JSON SCHEMARuleGroupsNamespaceSummaryList
JSON SCHEMARuleGroupsNamespaceSummary
JSON SCHEMAServiceQuotaExceededException
JSON SCHEMAString
JSON SCHEMATagKey
JSON SCHEMATagKeys
JSON SCHEMATagMap
JSON SCHEMATagResourceRequest
JSON SCHEMATagResourceResponse
JSON SCHEMATagValue
JSON SCHEMAThrottlingException
JSON SCHEMATimestamp
JSON SCHEMAUntagResourceRequest
JSON SCHEMAUntagResourceResponse
JSON SCHEMAUpdateLoggingConfigurationRequest
JSON SCHEMAUpdateLoggingConfigurationResponse
JSON SCHEMAUpdateWorkspaceAliasRequest
JSON SCHEMAUri
JSON SCHEMAValidationException
JSON SCHEMAWorkspaceAlias
JSON SCHEMAWorkspaceArn
JSON SCHEMAWorkspaceDescription
JSON SCHEMAWorkspaceId
JSON SCHEMAWorkspaceStatusCode
JSON SCHEMAWorkspaceStatus
JSON SCHEMAWorkspaceSummaryList
JSON SCHEMAWorkspaceSummary
JSON SCHEMAScroll within the panel for all 79 ·
JSON Structure 79
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 Managed Prometheus Conflict Exception Structure
JSON STRUCTUREAmazon Managed Prometheus Idempotency Token Structure
JSON STRUCTUREAmazon Managed Prometheus List Rule Groups Namespaces Request Max Results Integer Structure
JSON STRUCTUREAmazon Managed Prometheus Log Group Arn Structure
JSON STRUCTUREAmazon Managed Prometheus Pagination Token Structure
JSON STRUCTUREAmazon Managed Prometheus String Structure
JSON STRUCTUREAmazon Managed Prometheus Tag Key Structure
JSON STRUCTUREAmazon Managed Prometheus Tag Keys Structure
JSON STRUCTUREAmazon Managed Prometheus Tag Map Structure
JSON STRUCTUREAmazon Managed Prometheus Tag Resource Request Structure
JSON STRUCTUREAmazon Managed Prometheus Tag Value Structure
JSON STRUCTUREAmazon Managed Prometheus Throttling Exception Structure
JSON STRUCTUREAmazon Managed Prometheus Timestamp Structure
JSON STRUCTUREAmazon Managed Prometheus Uri Structure
JSON STRUCTUREAmazon Managed Prometheus Validation Exception Structure
JSON STRUCTUREAmazon Managed Prometheus Workspace Alias Structure
JSON STRUCTUREAmazon Managed Prometheus Workspace Arn Structure
JSON STRUCTUREAmazon Managed Prometheus Workspace Id Structure
JSON STRUCTUREAmazon Managed Prometheus Workspace Status Structure
JSON STRUCTUREAmazon Managed Prometheus Workspace Summary Structure
JSON STRUCTUREScroll within the panel for all 79 ·
Examples 79
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 79 ·
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.
Kubernetes Cluster Monitoring
Monitor EKS clusters and Kubernetes workloads with Prometheus metrics at any scale.
Container Performance Metrics
Collect and analyze container CPU, memory, and network metrics for performance optimization.
Microservices Observability
Monitor distributed microservices with Prometheus metrics and custom alert rules.
Infrastructure Capacity Planning
Track resource utilization trends over time for infrastructure capacity planning.
SLA Monitoring
Define SLO-based alerting rules to monitor service level agreements in real time.
Resources
Every other property we hold for Amazon Managed Service for Prometheus — 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 2
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 3
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
← All providers · Data indexed from github.com/api-evangelist/amazon-managed-prometheus · machine-readable index on apis.io