AWS Compute Optimizer
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AI ReadinessAI-Aware (B-)61/100
Agent-ready OpenAPI document · curated by JenticCloud InfrastructureComputeAWS Signature v4 (HMAC)21 EndpointsREST
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For Agents
Fetch right-sizing and idle-resource recommendations across EC2, Auto Scaling, EBS, Lambda, ECS-Fargate, and RDS, and export them to S3.
Use for: I need to find oversized EC2 instances I can downsize, I want to export Lambda right-sizing recommendations to S3, Get the recommendations for a specific Auto Scaling group, List all idle EBS volumes in this account
Not supported: Does not handle automatic right-sizing actions, billing analysis, or general performance monitoring - use only to fetch right-sizing recommendations and export them.
Jentic publishes the only available OpenAPI specification for AWS Compute Optimizer, keeping it validated and agent-ready. AWS Compute Optimizer analyzes utilization metrics from CloudWatch to recommend right-sized configurations for EC2 instances, EC2 Auto Scaling groups, EBS volumes, Lambda functions, ECS services on Fargate, RDS, and idle resources. It quantifies the savings and performance risk of each recommendation and can export full recommendation sets to S3 for downstream analysis. Recommendations are refreshed daily based on at least 14 days of metric history.
Install Jentic One Beta
Connect the AWS Compute Optimizer to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the AWS Compute Optimizer, 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%2Faws-compute-optimizer" | 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%2Faws-compute-optimizer" | 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 AWS Compute Optimizer API.
Get right-sizing recommendations for EC2 instances and Auto Scaling groups
Surface oversized or underutilized EBS volumes and Lambda functions
Export recommendation sets to S3 for finance and reporting workflows
Detect idle resources across the account with GetIdleRecommendations
Retrieve effective recommendation preferences for an enrollment status
Update recommendation preferences such as enhanced infrastructure metrics
Use Cases
Patterns agents use AWS Compute Optimizer API for, with concrete tasks.
★ EC2 Right-Sizing for Cost Reduction
FinOps and platform teams need to identify EC2 instances that are over-provisioned. AWS Compute Optimizer's GetEC2InstanceRecommendations returns recommended instance types ranked by estimated monthly savings and performance risk, based on at least 14 days of CloudWatch metrics. Acting on the top recommendations typically yields 20-40% compute cost reduction.
Call GetEC2InstanceRecommendations for the current account and return the top 10 instances by estimated monthly savings.
Lambda Memory Tuning
Lambda billing scales with allocated memory and duration. AWS Compute Optimizer's GetLambdaFunctionRecommendations recommends a memory size that minimizes cost while keeping latency within risk bounds. Applying the recommendation is a single UpdateFunctionConfiguration call per function.
Call GetLambdaFunctionRecommendations and return the recommended memory size and projected savings for a given function ARN.
Idle Resource Cleanup
Engineering organizations accumulate idle EC2 instances, EBS volumes, and Auto Scaling groups that incur cost without delivering value. AWS Compute Optimizer's GetIdleRecommendations surfaces these resources with confidence-rated idle classifications so they can be stopped, deleted, or scheduled.
Call GetIdleRecommendations and return all resources classified as Idle along with their estimated monthly savings.
Agent-Driven FinOps Reports
An AI agent supporting a FinOps team can pull recommendations across EC2, Auto Scaling, EBS, Lambda, ECS, and RDS in one pass and generate a prioritized savings plan. Through Jentic, each operation is one structured call - no boto3 setup or pagination boilerplate.
Call GetRecommendationSummaries, then GetEC2InstanceRecommendations and GetLambdaFunctionRecommendations, and return the top 20 savings opportunities ranked by estimated monthly impact.
Key Endpoints
21 endpoints — jentic publishes the only available openapi specification for aws compute optimizer, keeping it validated and agent-ready.
METHOD
PATH
DESCRIPTION
POST
/#X-Amz-Target=ComputeOptimizerService.GetEC2InstanceRecommendations
Get right-sizing recommendations for EC2 instances
POST
/#X-Amz-Target=ComputeOptimizerService.GetAutoScalingGroupRecommendations
Get recommendations for Auto Scaling groups
POST
/#X-Amz-Target=ComputeOptimizerService.GetLambdaFunctionRecommendations
Get memory-size recommendations for Lambda
POST
/#X-Amz-Target=ComputeOptimizerService.GetEBSVolumeRecommendations
Get recommendations for EBS volumes
POST
/#X-Amz-Target=ComputeOptimizerService.GetIdleRecommendations
List idle resource recommendations
POST
/#X-Amz-Target=ComputeOptimizerService.ExportEC2InstanceRecommendations
Export EC2 recommendations to S3
POST
/#X-Amz-Target=ComputeOptimizerService.GetRecommendationSummaries
Summarize recommendations across resource types
POST
/#X-Amz-Target=ComputeOptimizerService.GetEC2InstanceRecommendations
Get right-sizing recommendations for EC2 instances
POST
/#X-Amz-Target=ComputeOptimizerService.GetAutoScalingGroupRecommendations
Get recommendations for Auto Scaling groups
POST
/#X-Amz-Target=ComputeOptimizerService.GetLambdaFunctionRecommendations
Get memory-size recommendations for Lambda
POST
/#X-Amz-Target=ComputeOptimizerService.GetEBSVolumeRecommendations
Get recommendations for EBS volumes
POST
/#X-Amz-Target=ComputeOptimizerService.GetIdleRecommendations
List idle resource recommendations
POST
/#X-Amz-Target=ComputeOptimizerService.ExportEC2InstanceRecommendations
Export EC2 recommendations to S3
POST
/#X-Amz-Target=ComputeOptimizerService.GetRecommendationSummaries
Summarize recommendations across resource types
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
AWS Compute Optimizer
- AI-Aware (B-)61/100
99
Foundational Compliance63
Developer Experience & Jentic Compatibility37
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
96%
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.
37
AI-Readiness & Agent Experience
Semantic breadth, depth, and agent comprehension for AI systems.
Grade: FSignals: 4
48%
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 AWS Compute Optimizer by hand means signing every request with AWS Signature v4 HMAC, targeting the right regional host like compute-optimizer.{region}.amazonaws.com, and dispatching each operation through the X-Amz-Target header instead of a REST path. Through Jentic you install once, import AWS Compute Optimizer from the API Directory, store the AWS access key and secret once, and your agent calls it.
Permission scoping
Compute Optimizer routes operations through the X-Amz-Target header and carries resource ARNs and account filters in the request body, not the URL path, so scoping is by operation. You limit the agent to the operations it needs, such as GetEC2InstanceRecommendations or GetRecommendationSummaries, so export operations like ExportEC2InstanceRecommendations 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 when the request is signed. They never enter the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'find oversized EC2 instances and Lambda functions' or 'list idle resource recommendations', and Jentic returns the matching Compute Optimizer operation with its input schema, so the agent calls the correct endpoint without browsing the AWS service reference.
Related APIs
Alternatives and complements available in the Jentic catalogue.
FAQs
Specific to using AWS Compute Optimizer API through Jentic.
Why is there no official OpenAPI spec for AWS Compute Optimizer?
AWS does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call AWS Compute Optimizer 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 AWS Compute Optimizer API use?
AWS Signature v4 (HMAC) with IAM permissions on compute-optimizer:Get* and compute-optimizer:Export* actions. Jentic isolates the AWS credentials and signs each request from its vault.
Can I get Lambda memory recommendations with the AWS Compute Optimizer API?
Yes. GetLambdaFunctionRecommendations returns one or more memory-size options per function, with estimated cost savings and a performance risk rating. Recommendations require at least 14 days of CloudWatch invocation metrics.
What are the rate limits for the AWS Compute Optimizer API?
Per-account, per-region TPS limits apply to all Get* operations. Use ExportEC2InstanceRecommendations and similar export operations to fetch large recommendation sets without paginating thousands of Get calls.
How do I export right-sizing recommendations through Jentic?
Search Jentic for 'export EC2 right-sizing recommendations to S3', load the ExportEC2InstanceRecommendations schema, and execute it with the destination S3 bucket and object key. Compute Optimizer writes the CSV file and returns the job ID.
Is the AWS Compute Optimizer API free?
The basic recommendations are free. Enhanced infrastructure metrics for EC2 require an opt-in and incur a small per-resource monthly charge. Export operations are free aside from S3 storage of the output.
Can I limit what my agent is allowed to do with the AWS Compute Optimizer API?
Yes. Because you run Jentic One yourself, your own rules decide which Compute Optimizer operations and credentials the agent may use, and scoping here is by operation since the API selects each action through the X-Amz-Target header rather than a URL path. You can restrict the agent to read-only calls like GetEC2InstanceRecommendations, GetLambdaFunctionRecommendations, or GetRecommendationSummaries, so write and export actions such as ExportEC2InstanceRecommendations are not available unless you explicitly add them. The AWS access key and secret stay stored on your instance and are injected only when a permitted request is signed.
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