AWS Amazon Prometheus Service
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AI ReadinessAI-Aware (B)64/100
Agent-ready OpenAPI document · curated by JenticDeveloper ToolsMonitoring ObservabilityapiKey21 EndpointsREST
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For Agents
Provision and manage Prometheus-compatible metric workspaces, alert manager definitions, and rule groups for cloud-native applications via 21 control-plane operations.
Use for: I want to create a new Prometheus workspace for my Kubernetes cluster, List all Prometheus workspaces in a region, Get the details of a specific workspace by id, Update the alert manager definition for a workspace
Not supported: Does not handle metric ingestion via remote-write, PromQL queries, or dashboard rendering - use for control-plane management of Prometheus workspaces, alert manager definitions, and rule groups only.
Jentic publishes the only available OpenAPI specification for Amazon Managed Service for Prometheus, keeping it validated and agent-ready. Amazon Managed Service for Prometheus (AMP) is a fully managed Prometheus-compatible monitoring service for container and Kubernetes workloads. The control-plane API exposes 21 operations covering workspaces, alert manager definitions, rule group namespaces, logging configuration, and resource tagging. Platform and SRE teams use it to provision metric stores at scale without operating their own Prometheus servers.
Install Jentic One Beta
Connect the Amazon Prometheus Service to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Amazon Prometheus Service, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
1
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Famazonaws.com%2Famp" | sh2
Step 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Famazonaws.com%2Famp" | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
Capabilities
What an agent can do with Amazon Prometheus Service API.
Create and tag Prometheus workspaces that ingest remote-write metrics from EKS, ECS, or self-managed Kubernetes clusters
Define and update alert manager configurations to route firing alerts to receivers like Slack and PagerDuty
Manage rule group namespaces that hold recording and alerting rules evaluated server side
Toggle logging on a workspace to capture rules engine evaluation diagnostics in CloudWatch Logs
List and inspect workspaces with their status, tags, and creation timestamps for cost and capacity tracking
Use Cases
Patterns agents use Amazon Prometheus Service API for, with concrete tasks.
★ Multi-Tenant Kubernetes Monitoring
Platform teams use AMP to provide isolated Prometheus workspaces per tenant or environment without operating Prometheus servers. CreateWorkspace returns a remote-write endpoint that each cluster ships metrics to via Prometheus or the AWS Distro for OpenTelemetry. Tenants get isolated metric storage with shared infrastructure costs, and the workspace tag set is used for chargeback.
Call CreateWorkspace with alias=tenant-acme and tags including CostCenter, then return the prometheusEndpoint for the cluster's remote-write configuration
Centralised Alert Manager Configuration
SRE teams use PutAlertManagerDefinition to push a single alert manager YAML configuration to many workspaces, ensuring consistent routing of firing alerts to on-call channels. The definition is versioned per workspace, and DescribeAlertManagerDefinition lets a deploy pipeline diff the active definition against the desired state before applying changes.
Call PutAlertManagerDefinition with the YAML config Base64 encoded for the target workspace, then DescribeAlertManagerDefinition to confirm the new revision is active
Recording and Alerting Rule Lifecycle
Application teams ship recording rules and alerting rules to AMP through CreateRuleGroupsNamespace and UpdateRuleGroupsNamespace. Each namespace holds a set of rule groups defined in Prometheus YAML, and changes are evaluated server side as soon as they are applied. ListRuleGroupsNamespaces gives an inventory across a workspace for review and cleanup.
Call CreateRuleGroupsNamespace with name=app-rules and a Base64 encoded YAML body containing recording and alerting rules for the workspace
AI Agent Observability Provisioner
An AI agent invoked through Jentic provisions a fresh Prometheus workspace whenever a new tenant onboards. The agent searches Jentic for the create-workspace operation, executes it with the tenant's tags, and returns the resulting endpoint URL to the deployment pipeline. Jentic handles SigV4 signing so the agent never sees the raw access key id and secret.
Search Jentic for create amazon prometheus workspace, load the CreateWorkspace operation, execute it with the tenant alias and tags, and return the prometheusEndpoint
Key Endpoints
21 endpoints — jentic publishes the only available openapi specification for amazon managed service for prometheus, keeping it validated and agent-ready.
METHOD
PATH
DESCRIPTION
POST
/workspaces
Create a new Prometheus workspace
GET
/workspaces
List all Prometheus workspaces in the region
GET
/workspaces/{workspaceId}
Describe a workspace by id
PUT
/workspaces/{workspaceId}/alertmanager/definition
Put an alert manager definition for a workspace
POST
/workspaces/{workspaceId}/rulegroupsnamespaces
Create a rule group namespace inside a workspace
PUT
/workspaces/{workspaceId}/logging
Enable or update logging for a workspace
POST
/workspaces
Create a new Prometheus workspace
GET
/workspaces
List all Prometheus workspaces in the region
GET
/workspaces/{workspaceId}
Describe a workspace by id
PUT
/workspaces/{workspaceId}/alertmanager/definition
Put an alert manager definition for a workspace
POST
/workspaces/{workspaceId}/rulegroupsnamespaces
Create a rule group namespace inside a workspace
PUT
/workspaces/{workspaceId}/logging
Enable or update logging for a workspace
Jentic AI Readiness Score
This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.
A
Amazon Prometheus Service
- AI-Aware (B)64/100
99
Foundational Compliance63
Developer Experience & Jentic Compatibility43
AI-Readiness & Agent Experience94
Agent Usability50
Security100
AI DiscoverabilityPowered by JenticScoring Framework 1.0.0 | Scoring Engine 0.4.0
Show dimension breakdown
99
Foundational Compliance
Base layer of spec validity and structural soundness.
Grade: A+Signals: 4
97%
Lint Results
Aggregated quality score from linter diagnostics, weighted by severity.
100%
Resolution Completeness
Percentage of `$ref` references that resolve successfully.
100%
Specification Validity
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
100%
Structural Integrity
Structural correctness score based on schema issues using logarithmic dampening.
63
Developer Experience & Jentic Compatibility
Clarity, completeness, and ingestion readiness for developers and tooling.
Grade: B-Signals: 4
0%
Example Density
How richly the API is illustrated with examples.
100%
Example Validity
Percentage of examples that conform to their schemas.
50%
Response Coverage
Percentage of operations with complete response definitions (success, client error, server error).
100%
Tooling Readiness
Health of API ingestion, bundling, and resolution within Jentic pipelines.
43
AI-Readiness & Agent Experience
Semantic breadth, depth, and agent comprehension for AI systems.
Grade: D-Signals: 4
72%
Description Coverage
Coverage of descriptions across API elements.
0%
Error Standardization
Coverage of RFC 9457 Problem Details for error responses.
100%
OperationId Quality
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
0%
Summary Coverage
Coverage of summaries across operations/tags/info.
94
Agent Usability
Functional utility, complexity comfort, and AI orchestration readiness.
Grade: A+Signals: 1
94%
Complexity Comfort
Agent comfort level based on API operational and structural complexity.
50
Security
Trust, risk posture, and security compliance.
Grade: C-Signals: 1
50%
Authentication Strength
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
100
AI Discoverability
Findability, semantic richness, and reasoning readiness.
Grade: A+Signals: 1
100%
Descriptive Richness
Clarity and depth of descriptions across API elements.
Score it yourself
Every API in the directory is allowlisted, so you can re-score it with no key required.
npx @jentic/api-scorecard-cli score <openapi-url>Why Jentic?
What agents get from Jentic-routed access to this vendor.
Setup
Wiring Amazon Managed Service for Prometheus by hand means signing every control-plane request with AWS Signature Version 4 and resolving the aps.{region}.amazonaws.com host for your region. Through Jentic you install once, import Amazon Prometheus Service from the API Directory, store your AWS access key and secret once, and your agent calls it.
Permission scoping
AMP puts the workspace id in the URL path (/workspaces/{workspaceId}/...), so a rule can pin the agent to one Prometheus workspace and its alert-manager and rule-group configuration. You choose the operations it may call, so actions like creating new workspaces with POST /workspaces are not included unless you add them.
Credential isolation
Your AWS access key and secret are stored once, encrypted, by your own Jentic One instance and injected at execution time. They never enter the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'create a Prometheus workspace' or 'update the alert manager definition', and Jentic returns the matching AMP operation with its input schema so the agent does not have to map operation names to AWS path conventions.
Related APIs
Alternatives and complements available in the Jentic catalogue.
FAQs
Specific to using Amazon Prometheus Service API through Jentic.
Why is there no official OpenAPI spec for Amazon Managed Service for Prometheus?
AWS does not publish an OpenAPI specification for AMP; the official surface is the AWS SDKs and the Smithy model. Jentic generates and maintains this spec so that AI agents and developers can call Amazon Prometheus Service via structured tooling. It is validated against the live API and kept up to date. Get started with Jentic One, the self-hosted execution layer.
What authentication does the Amazon Managed Prometheus API use?
AMP uses AWS Signature Version 4 (SigV4) on the control plane, signed with an IAM access key id and secret access key. The data plane (remote-write and query) uses SigV4 too. Through Jentic the access key id and secret access key are stored encrypted in the vault and SigV4 signing is performed server side.
Can I push Prometheus rules with the Amazon Managed Prometheus API?
Yes. Use POST /workspaces/{workspaceId}/rulegroupsnamespaces with a Base64 encoded YAML body containing one or more rule groups. AMP evaluates the rules server side as soon as the namespace is created, and PUT updates an existing namespace in place.
What are the rate limits for the Amazon Managed Prometheus API?
AMP applies per-region throttling on control-plane operations like CreateWorkspace and PutAlertManagerDefinition; rates are higher for read operations like ListWorkspaces. Data-plane remote-write and query throttling depend on the workspace's active series and query rate. ThrottlingException should be retried with exponential backoff.
How do I create a workspace with the Amazon Managed Prometheus API through Jentic?
Install the SDK with pip install jentic, search Jentic for create amazon prometheus workspace, load the CreateWorkspace operation schema, and execute it with an alias and tags. Jentic handles SigV4 signing and returns the workspace id and remote-write endpoint URL.
Can I delete a workspace and recover its metrics later?
No. DeleteWorkspace permanently removes the workspace and all stored metrics; there is no undelete. Before deletion, snapshot any required dashboards or export metrics through the query API. AMP retains metrics for the workspace's configured retention period only while the workspace exists.
Can I limit what my agent is allowed to do with the Amazon Managed Prometheus API?
Yes. Jentic One runs self-hosted, so you set the rules that decide which AMP operations and credentials your agent may use. Because AMP puts the workspace id in the URL path (/workspaces/{workspaceId}/...), you can pin the agent to a single Prometheus workspace and its alert manager and rule group configuration. You pick the operations it may call, so broad actions like creating new workspaces with POST /workspaces stay off limits unless you add them.
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