Anomaly Detection · FinOps Profile

Anomaly Detection Finops

Name: Anomaly Detection Finops
Creator: Anomaly Detection
Keywords: Anomaly Detection, Artificial Intelligence, Data Science, Fraud Detection, Machine Learning, Monitoring, Observability, Outlier Detection, Pattern Recognition, Security, Time Series, FinOps, Cost Management, FOCUS

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.

Anomaly Detection Finops is the FinOps profile for Anomaly Detection on the APIs.io network, aligned with the FinOps Foundation Framework.

It defines 3 billable meters, billed in USD, on a monthly cycle, and pricing category usage-based.

The profile maps 9 FOCUS columns for cost-allocation reporting.

Tagged areas include Anomaly Detection, Artificial Intelligence, Data Science, Fraud Detection, and Machine Learning.

Category: API Pricing: Usage-Based Billing: Monthly FOCUS v1.3

Anomaly DetectionArtificial IntelligenceData ScienceFraud DetectionMachine LearningMonitoringObservabilityOutlier DetectionPattern RecognitionSecurityTime SeriesFinOpsCost ManagementFOCUS

Framework Alignment

Framework

FinOps Foundation Framework

Data Spec

FOCUS v1.3

Charge Categories

UsagePurchaseTaxCreditAdjustment

FOCUS Columns

BillingCurrency

USD

ChargeCategory

Usage

InvoiceIssuerName

Anomaly Detection

PricingCategory

Usage-Based

PricingUnit

request

ProviderName

Anomaly Detection

PublisherName

Anomaly Detection

ServiceCategory

Developer Tools / API

ServiceName

Anomaly Detection

Meters

api_requests

Unit: request

Count of billable API requests

data_egress

Unit: GB

Bytes returned over the network in API responses

compute_seconds

Unit: second

Server-side compute consumed by the request, where applicable