Amnic

aid: amnic
url: https://raw.githubusercontent.com/api-evangelist/amnic/refs/heads/main/apis.yml
name: Amnic
description: >-
  Amnic is a cloud cost observability platform providing real-time cost monitoring,
  anomaly detection, and optimization for cloud and Kubernetes environments. Powered
  by context-aware AI agents, Amnic helps FinOps practitioners, engineering leads, and
  finance teams gain visibility into AWS, GCP, Azure, and Kubernetes costs through
  automated reporting, anomaly detection, budget governance, and programmatic API access.
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
tags:
  - Cloud Cost Observability
  - FinOps
  - Cloud Cost Management
  - Cost Optimization
  - Kubernetes
  - AWS
  - Azure
  - Google Cloud
created: '2026-03-27'
modified: '2026-04-19'
specificationVersion: '0.19'
apis:
  - aid: amnic:amnic-api
    name: Amnic Cloud Cost Observability API
    description: >-
      The Amnic API provides programmatic access to cloud cost data from saved Cost Analyzer
      charts, enabling automation of reporting and integration with other FinOps tools.
      Authenticate with an API key header to retrieve chart filters and cost data with
      custom filter parameters.
    humanURL: https://amnic.com/
    tags:
      - Cloud Cost Observability
      - FinOps
      - Cost Analytics
    properties:
      - type: Documentation
        url: https://docs.amnic.com/
      - type: GettingStarted
        url: https://docs.amnic.com/
      - type: OpenAPI
        url: openapi/amnic-openapi.yml
      - type: JSONSchema
        url: json-schema/amnic-api-filter-schema.json
      - type: JSONSchema
        url: json-schema/amnic-api-filter-list-schema.json
      - type: JSONSchema
        url: json-schema/amnic-api-filter-request-schema.json
      - type: JSONSchema
        url: json-schema/amnic-api-chart-data-schema.json
      - type: JSONStructure
        url: json-structure/amnic-api-filter-structure.json
      - type: JSONStructure
        url: json-structure/amnic-api-filter-list-structure.json
      - type: JSONStructure
        url: json-structure/amnic-api-filter-request-structure.json
      - type: JSONStructure
        url: json-structure/amnic-api-chart-data-structure.json
      - type: Example
        url: examples/amnic-api-filter-example.json
      - type: Example
        url: examples/amnic-api-filter-list-example.json
      - type: Example
        url: examples/amnic-api-filter-request-example.json
      - type: Example
        url: examples/amnic-api-chart-data-example.json
common:
  - type: Website
    url: https://amnic.com/
  - type: Documentation
    url: https://docs.amnic.com/
  - type: Pricing
    url: https://amnic.com/pricing
  - type: Blog
    url: https://amnic.com/blog
  - type: LinkedIn
    url: https://www.linkedin.com/company/amnic
  - type: SpectralRules
    url: rules/amnic-spectral-rules.yml
  - type: NaftikoCapability
    url: capabilities/shared/amnic-api.yaml
  - type: NaftikoCapability
    url: capabilities/cloud-cost-observability.yaml
  - type: JSONLD
    url: json-ld/amnic-api-context.jsonld
  - type: Vocabulary
    url: vocabulary/amnic-vocabulary.yaml
  - type: Features
    data:
      - name: X-Ray Agent
        description: AI agent that provides cloud cost health assessments in 30 seconds, surfacing anomalies and optimization opportunities across AWS, GCP, Azure, and Kubernetes.
      - name: Insights Agent
        description: Delivers audience-specific cloud cost insights through natural language queries tailored for finance, engineering, and leadership teams.
      - name: Governance Agent
        description: Detects cost anomalies, manages budgets, and enforces tag hygiene across cloud environments for compliance and cost control.
      - name: Reporting Agent
        description: Generates customized cost reports for different stakeholder audiences with automated scheduling and delivery.
      - name: Cost Anomaly Detection
        description: Real-time detection of unexpected cost spikes and anomalies with alerts to reduce mean time to resolution by 90%.
      - name: Cost Allocation
        description: Allocate cloud costs across teams, projects, and business units using tags and custom allocation rules.
      - name: Unit Economics
        description: Measure cost efficiency metrics and unit economics to understand cost per customer, feature, or business unit.
      - name: Budget Management
        description: Set budgets, track spending against targets, and receive alerts when budgets are approached or exceeded.
      - name: Spending Forecasting
        description: Predict future cloud costs based on historical usage patterns and growth trends.
      - name: Programmatic API Access
        description: REST API for automating reporting, retrieving saved chart data with custom filters, and integrating Amnic with other FinOps tools.
  - type: UseCases
    data:
      - name: Automated Cost Reporting
        description: Programmatically retrieve cloud cost data from saved charts and integrate into internal dashboards, data warehouses, or BI tools.
      - name: Cost Anomaly Investigation
        description: Detect and investigate unexpected cloud cost spikes using AI agents and real-time cost monitoring to reduce debugging time by 90%.
      - name: FinOps Workflow Automation
        description: Automate FinOps workflows including cost allocation, chargeback reporting, and budget variance analysis across engineering teams.
      - name: Multi-Cloud Cost Visibility
        description: Gain unified cost visibility across AWS, GCP, Azure, and Kubernetes environments in a single observability platform.
      - name: AI-Assisted Cost Optimization
        description: Use natural language queries and AI agents to identify cost optimization opportunities and implement recommendations.
      - name: Stakeholder Reporting
        description: Generate and deliver customized cost reports for finance, engineering, and executive stakeholders with relevant metrics and insights.
  - type: Integrations
    data:
      - name: AWS
        description: Connect AWS accounts to ingest billing and usage data for cost monitoring, anomaly detection, and optimization recommendations.
      - name: Google Cloud Platform
        description: Integrate GCP projects for unified cloud cost visibility and optimization across Google Cloud services.
      - name: Microsoft Azure
        description: Connect Azure subscriptions for real-time cost monitoring and FinOps automation across Azure services.
      - name: Kubernetes
        description: Native Kubernetes cost observability for container workloads, namespace cost allocation, and cluster efficiency optimization.
maintainers:
  - FN: Kin Lane
    email: [email protected]