Amazon Lookout for Metrics

aid: amazon-lookout-for-metrics
name: Amazon Lookout for Metrics
description: Amazon Lookout for Metrics uses machine learning to automatically detect anomalies in business and operational
  metrics such as revenue performance, customer engagement, and user activity. It continuously monitors data from various
  sources including Amazon S3, CloudWatch, RDS, Redshift, Athena, and AppFlow, providing root cause analysis and alert notifications
  when anomalies are detected.
type: Index
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
tags:
- Anomaly Detection
- AWS
- Business Intelligence
- Machine Learning
- Metrics
- Monitoring
url: https://raw.githubusercontent.com/api-evangelist/amazon-lookout-for-metrics/refs/heads/main/apis.yml
created: '2026-03-16'
modified: '2026-05-19'
specificationVersion: '0.19'
apis:
- aid: amazon-lookout-for-metrics:amazon-lookout-for-metrics-api
  name: Amazon Lookout for Metrics API
  description: The Amazon Lookout for Metrics API provides programmatic access to create and manage anomaly detectors, anomaly
    groups, alerts, and datasets for automated anomaly detection in business metrics. Supports detector lifecycle management,
    metric set configuration, alert creation, anomaly analysis, feedback collection, and resource tagging across 30 operations.
  humanURL: https://aws.amazon.com/lookout-for-metrics/
  baseURL: https://lookoutmetrics.amazonaws.com
  tags:
  - Anomaly Detection
  - Machine Learning
  - Metrics
  - Monitoring
  properties:
  - type: Documentation
    url: https://docs.aws.amazon.com/lookoutmetrics/latest/api/Welcome.html
  - type: OpenAPI
    url: openapi/amazon-lookout-for-metrics-openapi-original.yaml
  - type: GettingStarted
    url: https://aws.amazon.com/lookout-for-metrics/getting-started/
  - type: Pricing
    url: https://aws.amazon.com/lookout-for-metrics/pricing/
  - type: FAQ
    url: https://aws.amazon.com/lookout-for-metrics/faqs/
  - type: JSONSchema
    url: json-schema/amazon-lookout-for-metrics-activate-anomaly-detector-response-schema.json
  - type: JSONStructure
    url: json-structure/amazon-lookout-for-metrics-activate-anomaly-detector-response-structure.json
  - type: JSONLD
    url: json-ld/amazon-lookout-for-metrics-context.jsonld
  - type: NaftikoCapability
    url: capabilities/amazon-lookout-for-metrics.yaml
common:
- type: Portal
  url: https://aws.amazon.com/lookout-for-metrics/
- type: Documentation
  url: https://docs.aws.amazon.com/lookoutmetrics/
- type: TermsOfService
  url: https://aws.amazon.com/service-terms/
- type: PrivacyPolicy
  url: https://aws.amazon.com/privacy/
- type: Support
  url: https://aws.amazon.com/premiumsupport/
- type: Blog
  url: https://aws.amazon.com/blogs/machine-learning/tag/amazon-lookout-for-metrics/
- type: GitHubOrganization
  url: https://github.com/aws
- type: Console
  url: https://console.aws.amazon.com/lookoutmetrics/
- type: SignUp
  url: https://portal.aws.amazon.com/billing/signup
- type: Login
  url: https://signin.aws.amazon.com/
- type: StatusPage
  url: https://health.aws.amazon.com/health/status
- type: Contact
  url: https://aws.amazon.com/contact-us/
- type: SpectralRules
  url: rules/amazon-lookout-for-metrics-spectral-rules.yml
- type: Vocabulary
  url: vocabulary/amazon-lookout-for-metrics-vocabulary.yaml
- type: Features
  data:
  - name: Automated Anomaly Detection
    description: Uses ML to automatically detect anomalies in business and operational metrics without requiring ML expertise.
  - name: Root Cause Analysis
    description: Identifies the top contributors to each anomaly to help determine root causes quickly.
  - name: Multi-Source Data Ingestion
    description: Connects to Amazon S3, CloudWatch, RDS, Redshift, Athena, and AppFlow as data sources.
  - name: Continuous Monitoring
    description: Continuously monitors metrics and sends real-time alerts when anomalies are detected.
  - name: Alert Configuration
    description: Configure alerts via Amazon SNS, Lambda, or other AWS services when anomalies occur.
  - name: Anomaly Feedback
    description: Provide feedback on detected anomalies to improve future detection accuracy.
  - name: Resource Tagging
    description: Tag anomaly detectors and related resources for cost allocation and organization.
- type: UseCases
  data:
  - name: Revenue Anomaly Detection
    description: Monitor revenue metrics and detect unexpected drops or spikes that could indicate fraud or system issues.
  - name: Customer Engagement Monitoring
    description: Track customer engagement metrics and alert teams when patterns deviate from expected ranges.
  - name: Operational Metrics Monitoring
    description: Monitor operational metrics such as system performance, error rates, and throughput for anomalies.
  - name: E-Commerce Performance
    description: Detect anomalies in e-commerce metrics like conversion rates, cart abandonment, and sales volume.
  - name: User Activity Analysis
    description: Analyze user activity patterns and detect unusual behavior that may indicate security incidents.
- type: Integrations
  data:
  - name: Amazon S3
    description: Use S3 buckets as a data source for metric data in CSV or JSON format.
  - name: Amazon CloudWatch
    description: Ingest CloudWatch metrics directly for anomaly detection.
  - name: Amazon RDS
    description: Connect to RDS databases to retrieve metric data for analysis.
  - name: Amazon Redshift
    description: Use Redshift data warehouse as a source for business metrics.
  - name: Amazon Athena
    description: Query Athena tables to feed metric data into anomaly detectors.
  - name: AWS AppFlow
    description: Use AppFlow connectors to ingest data from SaaS applications.
  - name: Amazon SNS
    description: Send alert notifications via SNS topics when anomalies are detected.
  - name: AWS Lambda
    description: Trigger Lambda functions in response to detected anomalies for custom workflows.
- type: Integrations
  url: https://aws.amazon.com/marketplace
integrations:
- name: Sign in
- name: Agent Mode
- name: Why AWS Marketplace?
- name: Get started in AWS Marketplace
- name: Industry
- name: Resources
- name: Become a Channel Partner
- name: Sell in AWS Marketplace
- name: Manage Your Account
maintainers:
- FN: Kin Lane
  email: [email protected]