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Amazon Managed Service for Prometheus website screenshot

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.

agent ready

Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.

Kin Score

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.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 66.9/100 · strong
Contract Quality 17.0 / 25
Developer Ergonomics 8.3 / 20
Commercial Clarity 16.3 / 20
Operational Transparency 6.8 / 13
Governance 10.4 / 12
Discoverability 8.0 / 10
Agent readiness — 48/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

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.

FinOps 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.

Amazon Managed Prometheus Context

48 classes · 21 properties

JSON-LD

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 Managed Service for Prometheus API Rules

5 rules · 3 warnings

SPECTRAL

Amazon Managed Service for Prometheus API Rules

22 rules · 7 errors · 10 warnings

SPECTRAL

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

0 properties

JSON SCHEMA

AlertManagerDefinitionData

0 properties

JSON SCHEMA

AlertManagerDefinitionDescription

4 properties

JSON SCHEMA

AlertManagerDefinitionStatusCode

0 properties

JSON SCHEMA

AlertManagerDefinitionStatus

2 properties

JSON SCHEMA

ConflictException

0 properties

JSON SCHEMA

CreateAlertManagerDefinitionRequest

2 properties

JSON SCHEMA

CreateAlertManagerDefinitionResponse

1 properties

JSON SCHEMA

CreateLoggingConfigurationRequest

2 properties

JSON SCHEMA

CreateLoggingConfigurationResponse

1 properties

JSON SCHEMA

CreateRuleGroupsNamespaceRequest

4 properties

JSON SCHEMA

CreateRuleGroupsNamespaceResponse

4 properties

JSON SCHEMA

CreateWorkspaceRequest

3 properties

JSON SCHEMA

CreateWorkspaceResponse

4 properties

JSON SCHEMA

DeleteAlertManagerDefinitionRequest

0 properties

JSON SCHEMA

DeleteLoggingConfigurationRequest

0 properties

JSON SCHEMA

DeleteRuleGroupsNamespaceRequest

0 properties

JSON SCHEMA

DeleteWorkspaceRequest

0 properties

JSON SCHEMA

DescribeAlertManagerDefinitionRequest

0 properties

JSON SCHEMA

DescribeLoggingConfigurationRequest

0 properties

JSON SCHEMA

DescribeLoggingConfigurationResponse

1 properties

JSON SCHEMA

DescribeRuleGroupsNamespaceRequest

0 properties

JSON SCHEMA

DescribeRuleGroupsNamespaceResponse

1 properties

JSON SCHEMA

DescribeWorkspaceRequest

0 properties

JSON SCHEMA

DescribeWorkspaceResponse

1 properties

JSON SCHEMA

IdempotencyToken

0 properties

JSON SCHEMA

InternalServerException

0 properties

JSON SCHEMA

ListRuleGroupsNamespacesRequest

0 properties

JSON SCHEMA

ListRuleGroupsNamespacesResponse

2 properties

JSON SCHEMA

ListTagsForResourceRequest

0 properties

JSON SCHEMA

ListTagsForResourceResponse

1 properties

JSON SCHEMA

ListWorkspacesRequest

0 properties

JSON SCHEMA

ListWorkspacesResponse

2 properties

JSON SCHEMA

LogGroupArn

0 properties

JSON SCHEMA

LoggingConfigurationMetadata

5 properties

JSON SCHEMA

LoggingConfigurationStatusCode

0 properties

JSON SCHEMA

LoggingConfigurationStatus

2 properties

JSON SCHEMA

PaginationToken

0 properties

JSON SCHEMA

PutAlertManagerDefinitionRequest

2 properties

JSON SCHEMA

PutAlertManagerDefinitionResponse

1 properties

JSON SCHEMA

PutRuleGroupsNamespaceRequest

2 properties

JSON SCHEMA

PutRuleGroupsNamespaceResponse

4 properties

JSON SCHEMA

ResourceNotFoundException

0 properties

JSON SCHEMA

RuleGroupsNamespaceArn

0 properties

JSON SCHEMA

RuleGroupsNamespaceData

0 properties

JSON SCHEMA

RuleGroupsNamespaceDescription

7 properties

JSON SCHEMA

RuleGroupsNamespaceName

0 properties

JSON SCHEMA

RuleGroupsNamespaceStatusCode

0 properties

JSON SCHEMA

RuleGroupsNamespaceStatus

2 properties

JSON SCHEMA

RuleGroupsNamespaceSummaryList

0 properties

JSON SCHEMA

RuleGroupsNamespaceSummary

6 properties

JSON SCHEMA

ServiceQuotaExceededException

0 properties

JSON SCHEMA

String

0 properties

JSON SCHEMA

TagKey

0 properties

JSON SCHEMA

TagKeys

0 properties

JSON SCHEMA

TagMap

0 properties

JSON SCHEMA

TagResourceRequest

1 properties

JSON SCHEMA

TagResourceResponse

0 properties

JSON SCHEMA

TagValue

0 properties

JSON SCHEMA

ThrottlingException

0 properties

JSON SCHEMA

Timestamp

0 properties

JSON SCHEMA

UntagResourceRequest

0 properties

JSON SCHEMA

UntagResourceResponse

0 properties

JSON SCHEMA

UpdateLoggingConfigurationRequest

2 properties

JSON SCHEMA

UpdateLoggingConfigurationResponse

1 properties

JSON SCHEMA

UpdateWorkspaceAliasRequest

2 properties

JSON SCHEMA

Uri

0 properties

JSON SCHEMA

ValidationException

0 properties

JSON SCHEMA

WorkspaceAlias

0 properties

JSON SCHEMA

WorkspaceArn

0 properties

JSON SCHEMA

WorkspaceDescription

7 properties

JSON SCHEMA

WorkspaceId

0 properties

JSON SCHEMA

WorkspaceStatusCode

0 properties

JSON SCHEMA

WorkspaceStatus

1 properties

JSON SCHEMA

WorkspaceSummaryList

0 properties

JSON SCHEMA

WorkspaceSummary

6 properties

JSON SCHEMA

Scroll 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 String Structure

0 properties

JSON STRUCTURE

Amazon Managed Prometheus Uri Structure

0 properties

JSON STRUCTURE

Scroll 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.

Amazon Managed Prometheus Authentication

apiKey · 1 scheme

SECURITY

Amazon Managed Prometheus Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Amazon Managed Prometheus Vulnerability Disclosure

security.txt · contact published

SECURITY

Amazon Managed Prometheus Trust Center

PCI DSS, HIPAA, FedRAMP, GDPR, FIPS 140

SECURITY

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.

Amazon Managed Prometheus Agentic Access

21 operations · 14 acting

21 operations · 14 acting

AGENTIC

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

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