Amnic website screenshot

Amnic

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.

1 APIs 10 Features
Cloud Cost ObservabilityFinOpsCloud Cost ManagementCost OptimizationKubernetesAzureGoogle Cloud

APIs

Amnic Cloud Cost Observability API

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. Authenti...

Collections

Pricing Plans

Amnic Plans Pricing

3 plans

PLANS

Rate Limits

Amnic Rate Limits

5 limits

RATE LIMITS

FinOps

Amnic Finops

FINOPS

Features

X-Ray Agent

AI agent that provides cloud cost health assessments in 30 seconds, surfacing anomalies and optimization opportunities across AWS, GCP, Azure, and Kubernetes.

Insights Agent

Delivers audience-specific cloud cost insights through natural language queries tailored for finance, engineering, and leadership teams.

Governance Agent

Detects cost anomalies, manages budgets, and enforces tag hygiene across cloud environments for compliance and cost control.

Reporting Agent

Generates customized cost reports for different stakeholder audiences with automated scheduling and delivery.

Cost Anomaly Detection

Real-time detection of unexpected cost spikes and anomalies with alerts to reduce mean time to resolution by 90%.

Cost Allocation

Allocate cloud costs across teams, projects, and business units using tags and custom allocation rules.

Unit Economics

Measure cost efficiency metrics and unit economics to understand cost per customer, feature, or business unit.

Budget Management

Set budgets, track spending against targets, and receive alerts when budgets are approached or exceeded.

Spending Forecasting

Predict future cloud costs based on historical usage patterns and growth trends.

Programmatic API Access

REST API for automating reporting, retrieving saved chart data with custom filters, and integrating Amnic with other FinOps tools.

Use Cases

Automated Cost Reporting

Programmatically retrieve cloud cost data from saved charts and integrate into internal dashboards, data warehouses, or BI tools.

Cost Anomaly Investigation

Detect and investigate unexpected cloud cost spikes using AI agents and real-time cost monitoring to reduce debugging time by 90%.

FinOps Workflow Automation

Automate FinOps workflows including cost allocation, chargeback reporting, and budget variance analysis across engineering teams.

Multi-Cloud Cost Visibility

Gain unified cost visibility across AWS, GCP, Azure, and Kubernetes environments in a single observability platform.

AI-Assisted Cost Optimization

Use natural language queries and AI agents to identify cost optimization opportunities and implement recommendations.

Stakeholder Reporting

Generate and deliver customized cost reports for finance, engineering, and executive stakeholders with relevant metrics and insights.

Integrations

AWS

Connect AWS accounts to ingest billing and usage data for cost monitoring, anomaly detection, and optimization recommendations.

Google Cloud Platform

Integrate GCP projects for unified cloud cost visibility and optimization across Google Cloud services.

Microsoft Azure

Connect Azure subscriptions for real-time cost monitoring and FinOps automation across Azure services.

Kubernetes

Native Kubernetes cost observability for container workloads, namespace cost allocation, and cluster efficiency optimization.

Semantic Vocabularies

Amnic Api Context

3 classes · 5 properties

JSON-LD

API Governance Rules

Amnic API Rules

31 rules · 15 errors 15 warnings 1 info

SPECTRAL

JSON Structure

Amnic Api Chart Data Structure

2 properties

JSON STRUCTURE

Amnic Api Filter List Structure

0 properties

JSON STRUCTURE

Amnic Api Filter Request Structure

1 properties

JSON STRUCTURE

Amnic Api Filter Structure

2 properties

JSON STRUCTURE

Example Payloads

Amnic Api Chart Data Example

2 fields

EXAMPLE

Amnic Api Filter Example

2 fields

EXAMPLE

Resources

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GitHubOrganization
GitHubOrganization
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Website
Website
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Documentation
Documentation
💰
Pricing
Pricing
📰
Blog
Blog
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LinkedIn
LinkedIn
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SpectralRules
SpectralRules
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JSONLD
JSONLD
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Vocabulary
Vocabulary
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LlmsText
LlmsText

Sources

Raw ↑
opencollection: 1.0.0
info:
  name: Amnic Cloud Cost Observability API
  version: 1.0.0
request:
  auth:
    type: apikey
    key: X-API-Key
    value: '{{X-API-Key}}'
    placement: header
items:
- info:
    name: Cost Analyzer
    type: folder
  items:
  - info:
      name: Amnic Get Chart Filters
      type: http
    http:
      method: GET
      url: https://api.amnic.com/orchestrator/v1/external/view/:uuid/filters
      params:
      - name: uuid
        value: 550e8400-e29b-41d4-a716-446655440000
        type: path
        description: The unique identifier of the saved chart in the Cost Analyzer.
    docs: Returns the filters configured in a saved chart identified by its UUID.
  - info:
      name: Amnic Get Chart Data
      type: http
    http:
      method: POST
      url: https://api.amnic.com/orchestrator/v1/external/view/:uuid
      params:
      - name: uuid
        value: 550e8400-e29b-41d4-a716-446655440000
        type: path
        description: The unique identifier of the saved chart in the Cost Analyzer.
      body:
        type: json
        data: '{}'
    docs: Retrieves saved chart data by providing additional custom filters to narrow the cost analysis results.
bundled: true