# Coverage demoted 2026-10-07 (roadmap#942, PLAN.md Stage A): this file was written by an API Evangelist # sweep and names no billing unit, meters or pricing category read from the provider — it restates the # FinOps framework. It is `x-coverage: unmeasured`, and the FOCUS alignment it claimed has been removed. x-coverage: unmeasured specification: FinOps Framework specificationVersion: '1.0' provider: Anomaly Detection providerId: anomaly-detection publisherName: Anomaly Detection serviceCategory: API created: '2026-05-04' # Provenance stamped 2026-08-11: this artifact was written by the API Evangelist # bulk sweep dated 2026-05-04, not harvested from the provider. See roadmap#35. method: generated modified: '2026-05-04' tags: - Anomaly Detection - Artificial Intelligence - Data Science - Fraud Detection - Machine Learning - Monitoring - Observability - Outlier Detection - Pattern Recognition - Security - Time Series - FinOps - Cost Management - FOCUS description: FinOps framework definition for the Anomaly Detection API surface. Provides a FOCUS-aligned mapping for cost allocation, usage measurement, and unit-economics reporting across the provider's APIs. principles: - name: Visibility description: Make API consumption costs visible to engineering, product, and finance teams in near real-time. - name: Allocation description: Tag every chargeable API call with the consuming team, environment, application, and feature so cost can be allocated. - name: Optimization description: Continuously evaluate request patterns, caching, batching, and tier selection to reduce cost per useful unit of work. - name: Accountability description: Establish budget owners and chargeback or showback flows for each consuming team. domains: - name: Understand Usage and Cost capabilities: - Data Ingestion - Allocation - Reporting and Analytics - Anomaly Management - name: Quantify Business Value capabilities: - Planning and Estimating - Forecasting - Budgeting - Benchmarking - Unit Economics - name: Optimize Usage and Cost capabilities: - Architecting for Cloud - Rate Optimization - Workload Optimization - Cloud Sustainability - Licensing and SaaS - name: Manage the FinOps Practice capabilities: - FinOps Practice Operations - FinOps Education and Enablement - Invoicing and Chargeback - Onboarding Workloads - Intersecting Disciplines billingModel: pricingCategory: Usage-Based billingFrequency: Monthly billingCurrency: USD chargeCategories: - Usage - Purchase - Tax - Credit - Adjustment chargeFrequency: Recurring focusColumns: ServiceName: Anomaly Detection ServiceCategory: Developer Tools / API ProviderName: Anomaly Detection PublisherName: Anomaly Detection InvoiceIssuerName: Anomaly Detection PricingCategory: Usage-Based PricingUnit: request BillingCurrency: USD ChargeCategory: Usage meters: - name: api_requests description: Count of billable API requests unit: request aggregation: sum dimensions: - api - endpoint - tier - region - consumer - name: data_egress description: Bytes returned over the network in API responses unit: GB aggregation: sum dimensions: - api - region - consumer - name: compute_seconds description: Server-side compute consumed by the request, where applicable unit: second aggregation: sum dimensions: - api - endpoint - tier apis: - name: Azure AI Anomaly Detector baseURL: https://api.cognitive.microsoft.com tags: - Anomaly Detection - Azure - Machine Learning - Microsoft - Multivariate - Time Series - Univariate serviceName: Azure AI Anomaly Detector serviceCategory: API - name: Elasticsearch Anomaly Detection API baseURL: https://your-elasticsearch-host:9200 tags: - Anomaly Detection - Elasticsearch - Machine Learning - Monitoring - Time Series serviceName: Elasticsearch Anomaly Detection API serviceCategory: API - name: Datadog Anomaly Monitor API baseURL: https://api.datadoghq.com tags: - Anomaly Detection - Datadog - Monitoring - Observability - Time Series serviceName: Datadog Anomaly Monitor API serviceCategory: API - name: AWS Lookout for Metrics baseURL: https://lookoutmetrics.us-east-1.amazonaws.com tags: - Amazon Web Services - Anomaly Detection - AWS - Business Metrics - Machine Learning serviceName: AWS Lookout for Metrics serviceCategory: API - name: PyOD (Python Outlier Detection) baseURL: https://pypi.org/project/pyod/ tags: - Anomaly Detection - Data Science - Machine Learning - Open Source - Outlier Detection - Python serviceName: PyOD (Python Outlier Detection) serviceCategory: API unitEconomics: - name: Cost per 1K Requests metric: billed_cost / (api_requests / 1000) - name: Cost per Active Consumer metric: billed_cost / active_consumers maintainers: - FN: Kin Lane email: info@apievangelist.com X: apievangelist url: https://apievangelist.com