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APIs / Cloud Infrastructure / Amazonaws / AWS App Runner
AWS App Runner logo

AWS App Runner

Browse all Amazonaws APIs
60
AI ReadinessAI-Aware (B-)60/100
See full scorecard
Agent-ready OpenAPI document · curated by JenticCloud InfrastructureServerlessapiKey35 EndpointsREST

Know of an official OpenAPI document? Contribute it →

For Agents

Deploy and manage container-based web services on AWS App Runner. Automate service creation, custom domain mapping, autoscaling configuration, and VPC connectivity without managing infrastructure.

Use for: I need to deploy a container image as a web service on AWS, Set up automatic scaling for my App Runner service based on request concurrency, I want to connect my App Runner service to a database in a private VPC, List all running App Runner services in my AWS account

Not supported: Does not handle container orchestration, batch processing, or function-as-a-service - use for deploying persistent HTTP web services from container images or source code only.

Jentic publishes the only available OpenAPI specification for AWS App Runner, keeping it validated and agent-ready. Deploy containerized web applications and APIs directly from source code or container images without managing infrastructure. App Runner automatically handles provisioning, scaling, load balancing, and TLS certificate management across AWS regions, reducing deployment from days to minutes.

Jentic One on GithubView OpenAPI Document

Install Jentic One Beta

Connect the AWS App Runner to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the AWS App Runner, 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-app-runner" | sh
2

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-app-runner" | sh
jentic register       # connects your agent to your Jentic One instance

Jentic 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 App Runner API.

Deploy web services from container images or source code repositories with automatic build pipelines

Configure autoscaling thresholds that respond to concurrent request volume per service instance

Map custom domains to App Runner services with automatic TLS certificate provisioning

Connect services to private VPC resources through VPC connectors for database and internal API access

Pause and resume services to eliminate compute costs during idle periods without losing configuration

Attach observability configurations for X-Ray tracing and CloudWatch log aggregation per service

Trigger manual deployments or set up automatic deployment from source repository commits

Use Cases

Patterns agents use AWS App Runner API for, with concrete tasks.

★ AI Agent Service Deployment

AI agents use AWS App Runner through Jentic to deploy containerized microservices without managing cluster infrastructure. An agent searches for the deployment operation, receives the CreateService schema with source configuration and instance settings, and executes the call. App Runner handles provisioning compute, configuring the load balancer, and issuing TLS certificates. Deployment completes in under 5 minutes for standard container images.

Create a new App Runner service from the container image 'myapp:latest' in ECR with 1 vCPU, 2GB memory, and autoscaling set to min 1 max 10 instances

Auto-Scaling Web Applications

Configure App Runner services to scale automatically based on concurrent request volume. Each autoscaling configuration defines minimum and maximum instance counts along with a concurrency threshold that triggers scale-out. App Runner adds instances when requests per instance exceed the threshold and scales in during low-traffic periods, maintaining response latency without manual intervention.

Create an autoscaling configuration with max concurrency of 100 requests per instance, minimum 2 instances, and maximum 20 instances

Private VPC Network Integration

Connect App Runner services to resources inside a private VPC using VPC connectors. This allows deployed services to reach RDS databases, ElastiCache clusters, and internal APIs that are not publicly accessible. Each VPC connector specifies subnets and security groups, establishing a network path from App Runner's managed infrastructure into your private network without exposing services to the public internet.

Create a VPC connector targeting subnets subnet-abc123 and subnet-def456 with security group sg-789012 for database access

Custom Domain Mapping with TLS

Map branded domains to App Runner services with automatic certificate provisioning and renewal. The AssociateCustomDomain operation links a domain name to a service and returns DNS validation records. Once DNS propagation completes and validation succeeds, App Runner provisions a TLS certificate and routes traffic from the custom domain to the service endpoint.

Associate the custom domain 'api.example.com' with the App Runner service identified by its ARN and retrieve the DNS validation records

Cost Optimization with Service Pause

Pause App Runner services during non-production hours to eliminate compute costs while preserving the service configuration, custom domains, and deployment history. A paused service retains its URL and can be resumed in seconds when traffic needs to be served again. This is particularly effective for development and staging environments that only need availability during business hours.

Pause the App Runner service with ARN 'arn:aws:apprunner:us-east-1:123456789:service/my-dev-service' and verify the status changes to PAUSED

Key Endpoints

35 endpoints — jentic publishes the only available openapi specification for aws app runner, keeping it validated and agent-ready.

METHOD

PATH

DESCRIPTION

POST

/#X-Amz-Target=AppRunner.CreateService

Deploy a new service from source code or container image

POST

/#X-Amz-Target=AppRunner.DescribeService

Retrieve service configuration and current status

POST

/#X-Amz-Target=AppRunner.ListServices

List all App Runner services in the account

POST

/#X-Amz-Target=AppRunner.CreateAutoScalingConfiguration

Define scaling thresholds for service instances

POST

/#X-Amz-Target=AppRunner.AssociateCustomDomain

Link a custom domain to a service

POST

/#X-Amz-Target=AppRunner.CreateVpcConnector

Create a connector for private VPC access

POST

/#X-Amz-Target=AppRunner.StartDeployment

Trigger a manual deployment

POST

/#X-Amz-Target=AppRunner.PauseService

Pause a service to stop compute charges

POST

/#X-Amz-Target=AppRunner.CreateService

Deploy a new service from source code or container image

POST

/#X-Amz-Target=AppRunner.DescribeService

Retrieve service configuration and current status

POST

/#X-Amz-Target=AppRunner.ListServices

List all App Runner services in the account

POST

/#X-Amz-Target=AppRunner.CreateAutoScalingConfiguration

Define scaling thresholds for service instances

POST

/#X-Amz-Target=AppRunner.AssociateCustomDomain

Link a custom domain to a service

POST

/#X-Amz-Target=AppRunner.CreateVpcConnector

Create a connector for private VPC access

POST

/#X-Amz-Target=AppRunner.StartDeployment

Trigger a manual deployment

POST

/#X-Amz-Target=AppRunner.PauseService

Pause a service to stop compute charges

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 App Runner

- AI-Aware (B-)
60/100
99
Foundational Compliance
63
Developer Experience & Jentic Compatibility
37
AI-Readiness & Agent Experience
94
Agent Usability
50
Security
100
AI Discoverability
Powered 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
46%

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.

View full reportHow the score is calculatedMore about the dimensions

Score it yourself

Every API in the directory is allowlisted, so you can re-score it with no key required.

Score your own APIScoring CLI agent skill
npx @jentic/api-scorecard-cli score <openapi-url>

Why Jentic?

What agents get from Jentic-routed access to this vendor.

Setup

Wiring AWS App Runner by hand means creating IAM credentials, choosing the right regional host from apprunner.{region}.amazonaws.com, signing every request with AWS SigV4, and passing the X-Amz-Target action header on each call yourself. Through Jentic you install once, import AWS App Runner from the API Directory, store the AWS access key once, and your agent calls it.

Permission scoping

AWS App Runner carries the service and configuration targets in the request body rather than the URL path, so limit the agent to the operations it needs, such as CreateService, DescribeService, or ListServices. You choose the operations it may call, so destructive ones like deleting a service or pausing it are not included unless you add them.

Credential isolation

Your AWS access key for AWS App Runner is stored once, encrypted, by your own Jentic One instance and signed with SigV4 at execution time. It never enters the agent's prompt, logs, or context.

Intent-based discovery

Agents search Jentic by intent such as 'deploy a container service on AWS' or 'link a custom domain to a service', and Jentic returns the matching AWS App Runner operation with its input schema so the agent calls the right endpoint without browsing the AWS service reference.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Alternative

AWS Lambda

→

Lambda runs individual functions while App Runner deploys full containerized web services with built-in load balancing

Choose Lambda when you need event-driven function execution with sub-second billing. Choose App Runner when deploying a persistent HTTP service from a container image or source repository.

Alternative

Render API

→

Render provides similar container deployment with a simpler pricing model but less AWS ecosystem integration

Choose Render when the user prefers a vendor-neutral platform with straightforward pricing. Choose App Runner when deep AWS integration (VPC, IAM, CloudWatch) is required.

Alternative

DigitalOcean API

→

DigitalOcean App Platform offers similar PaaS deployment with a broader feature set including managed databases

Choose DigitalOcean when the user wants a simpler cloud with integrated database provisioning. Choose App Runner when they need AWS-native deployment with IAM and VPC connectivity.

FAQs

Specific to using AWS App Runner API through Jentic.

Why is there no official OpenAPI spec for AWS App Runner?

AWS does not publish an OpenAPI specification for App Runner. Jentic generates and maintains this spec so that AI agents and developers can call AWS App Runner 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 App Runner API use?

App Runner uses AWS Signature Version 4 (SigV4) authentication via an HMAC-signed Authorization header. Through Jentic, your AWS credentials are stored encrypted in your Jentic One instance and agents receive scoped access tokens, so raw AWS secret keys never enter the agent context.

Can I deploy a service from a GitHub repository using the App Runner API?

Yes. First create a connection to your GitHub account using the CreateConnection operation, then use CreateService with a SourceConfiguration that references the repository URL, branch, and build settings. App Runner builds the container from source and deploys it automatically on each commit.

What are the scaling limits for AWS App Runner?

Each App Runner service can scale from 1 to 25 instances by default (adjustable via service quotas). Autoscaling triggers based on concurrent requests per instance, with configurable thresholds via CreateAutoScalingConfiguration. Each instance supports 1-4 vCPUs and 2-12 GB memory.

How do I connect an App Runner service to a private RDS database through Jentic?

Search Jentic for 'create VPC connector for App Runner'. The agent receives the CreateVpcConnector schema requiring subnet IDs and security group IDs. After creating the connector, update the service with UpdateService to attach the VPC connector. The service then routes outbound traffic through your private subnets to reach RDS.

Can I pause an App Runner service to reduce costs?

Yes. The PauseService operation stops all running instances and eliminates compute charges while preserving the service URL, custom domains, and configuration. Resume with ResumeService when you need the service active again. Paused services still incur minimal charges for the paused state.

How does Jentic help AI agents deploy services on App Runner?

Agents search by intent (e.g., 'deploy a container on AWS') and Jentic returns the matching CreateService operation with its full input schema. The agent fills in the image URI, instance configuration, and scaling settings, then executes through Jentic. No AWS SDK setup or credential management required - install with pip install jentic and authenticate through Jentic One, the self-hosted execution layer.

Can I limit what my agent is allowed to do with the AWS App Runner API?

Yes. Because Jentic One is self-hosted, you decide which App Runner operations your agent may call, restricting it to what it needs such as CreateService, DescribeService, or ListServices. App Runner carries the service and configuration targets in the request body rather than the URL, so destructive operations like deleting or pausing a service are excluded unless you explicitly add them. Your AWS access key stays under your own rules and is signed at execution time, so the agent only ever exercises the operations you have permitted.

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