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.

Amnic is listed with 1 API on the APIs.io network: Cost Analyzer API. Tagged areas include Cloud Cost Observability, FinOps, Cloud Cost Management, Cost Optimization, and Kubernetes.

The Amnic catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.

Amnic’s developer surface includes authentication, documentation, pricing, engineering blog, and 12 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

28.6/100 thin ▬ flat Agent 40/100 agent ready Front door AI 6/6 dominant Heartbeat 37/100 slowing saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemiumSelf serve⚡ Free to try

1 API 1 MCP Servers 10 Features 6 Use Cases

Cloud Cost ObservabilityFinOps Cloud Cost Management Cost Optimization Kubernetes Amazon Web Services Microsoft Azure Google Cloud

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 28.6/100 · thin

Contract Quality 5.2 / 19

Developer Ergonomics 5.4 / 15

Access Clarity 2.8 / 15

Operational Transparency 1.0 / 10

Contract Governance 2.5 / 9

Discoverability 5.0 / 8

Regulatory Posture 2.5 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 40/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 0 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks
Documented Reversibility +6 pts — a reversal operation in the contract, graded up when a window is documented too

7 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 27.7 — up to +18.1 composite points
Access Clarity scores 18.4 — up to +16.3 composite points
Developer Ergonomics scores 35.7 — up to +12.9 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/amnic/apis.yml: open an issue on github.com/api-evangelist/amnic to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Cloud Native (Kubernetes, CNCF, FinOps)	standard	26.8 (thin)	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 2

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

OpenAPI

measured — observed by APIs.io (published)

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Amnic Cost Analyzer API

Operations for retrieving cost data and filters from saved charts in the Cost Analyzer.

Open Collections 2

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Amnic Cloud Cost Observability Cost Analyzer API

OPEN COLLECTION

Amnic Cloud Cost Observability API

OPEN COLLECTION

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Amnic MCP Server

Remote MCP server at docs.amnic.com over HTTP.

MCP SERVER

Amnic API pricing

Not yet checked against Amnic's own pricing page. Compiled by API Evangelist on 2026-05-04; confirm before you rely on a figure. A free plan or tier is listed.

Plan	Price
Free freemium	Free
Professional paid	Free
Enterprise enterprise	—

Plan details, limits and sources →

Rate limits

Free Tier Default: 10 requests per minute
Free Tier Monthly Quota: 1000 requests per month
Professional Tier Default: 100 requests per minute

Compiled by API Evangelist, not yet checked against Amnic's documentation. All 5 limits →

Pricing Plans 1

Published pricing tiers and plan structures.

Amnic Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Amnic Rate Limits

5 limits

RATE LIMITS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Amnic

SLA

FinOps 1

Cost, billing, and metering signals for API financial operations.

Amnic Finops

FINOPS

Features 10

Notable capabilities this provider offers.

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.

Scroll for all 10

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Amnic Api Context

3 classes · 5 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs.

Amnic — jsonschema rules

4 rules · 3 warnings 1 info

SPECTRAL

Amnic API Rules

34 rules · 15 errors 18 warnings 1 info

SPECTRAL

JSON Schema 4

Standalone JSON Schema definitions for this provider's data models.

ChartData

2 properties

JSON SCHEMA

FilterList

0 properties

JSON SCHEMA

FilterRequest

1 properties

JSON SCHEMA

Filter

2 properties

JSON SCHEMA

JSON Structure 4

JSON Structure definitions describing this provider's data shapes.

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

Examples 3

Example request and response payloads for these APIs.

Amnic Api Chart Data Example

2 fields

EXAMPLE

Amnic Api Filter Example

2 fields

EXAMPLE

Amnic Api Filter Request Example

1 fields

EXAMPLE

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Amnic Authentication

apiKey · 1 scheme

SECURITY

Amnic Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Amnic Agentic Access

2 operations

2 operations · 0 acting

AGENTIC

Use Cases 6

What developers build with this provider.

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 4

Pre-built integrations with other platforms and tools.

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.

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

LlmsText

LlmsText

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

SpectralRules

SpectralRules

JSONLD

JSONLD

Vocabulary

Vocabulary

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 3

Pricing, plans, and the legal terms of use

Plans

Plans

FinOps

FinOps

Pricing

Pricing

Company 3

The organization behind the API

Website

Website

Blog

Blog

LinkedIn

Source (apis.yml)

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.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Freemium · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/amnic.png
x-docs-platform: gitbook
x-docs-platform-confidence: high
x-docs-platform-checked: 2026-09-18
tags:
- Cloud Cost Observability
- FinOps
- Cloud Cost Management
- Cost Optimization
- Kubernetes
- Amazon Web Services
- Microsoft Azure
- Google Cloud
tags_raw:
- Cloud Cost Observability
- FinOps
- Cloud Cost Management
- Cost Optimization
- Kubernetes
- AWS
- Azure
- Google Cloud
created: '2026-03-27'
modified: '2026-05-19'
specificationVersion: '0.23'
apis:
- aid: amnic:amnic-cost-analyzer-api
  name: Amnic Cost Analyzer API
  description: Operations for retrieving cost data and filters from saved charts in the Cost Analyzer.
  humanURL: https://amnic.com/
  tags:
  - Cost Analyzer
  properties:
  - type: OpenAPI
    url: openapi/amnic-cost-analyzer-api-openapi.yml
  - type: Documentation
    url: https://docs.amnic.com/
  - type: GettingStarted
    url: https://docs.amnic.com/
  - 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: Examples
    url: examples/amnic-api-filter-example.json
  - type: Examples
    url: examples/amnic-api-filter-list-example.json
  - type: Examples
    url: examples/amnic-api-filter-request-example.json
  - type: Examples
    url: examples/amnic-api-chart-data-example.json
common:
- type: Plans
  url: plans/amnic-plans-pricing.yml
- type: RateLimits
  url: rate-limits/amnic-rate-limits.yml
- type: FinOps
  url: finops/amnic-finops.yml
- type: AgenticAccess
  url: agentic-access/amnic-agentic-access.yml
- type: DomainSecurity
  url: security/amnic-domain-security.yml
- type: Authentication
  url: authentication/amnic-authentication.yml
- type: GitHubOrganization
  url: https://github.com/amnic
- 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: 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.
- type: LlmsText
  url: https://docs.amnic.com/llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

Amnic API — frequently asked questions

Does Amnic have an API?

Yes. APIs.io lists 1 API from Amnic, including Amnic Cost Analyzer API.

Is there an OpenAPI specification for the Amnic API?

Yes. APIs.io indexes 1 OpenAPI specification for Amnic, each linked for download from this page.

How do I authenticate with the Amnic API?

Amnic uses bearer-token authentication (apiKey · 1 scheme). The details are profiled on APIs.io as Amnic Authentication.

How much does the Amnic API cost?

APIs.io lists 3 pricing plans for Amnic, with each plan's price, limits and inclusions under Pricing on this page.

Does Amnic have an MCP server?

Yes. APIs.io lists 1 MCP server for Amnic: Remote MCP server at docs.amnic.com over HTTP.

Is the Amnic API ready for AI agents?

Amnic has a Kin Score of 28.6 out of 100 (thin) and an Agent Readiness score of 39.8 (agent-ready), scored by API Evangelist on 2026-11-06.

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