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: kin@apievangelist.com