Amazon Billing And Cost Management
AWS Billing and Cost Management is a suite of tools and APIs that enables organizations to view, analyze, forecast, budget, and optimize their AWS spending. It includes AWS Cost Explorer for cost analysis, AWS Budgets for budget tracking and alerts, Cost Anomaly Detection for ML-powered anomaly identification, Cost Categories for spend organization, and the AWS Price List API for programmatic pricing queries. The suite supports consolidated billing across AWS Organizations and chargeback/showback workflows.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Amazon Billing And Cost Management the way a machine reads it — 23 machine-readable artifacts across 10 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Amazon Billing And Cost Management scores 53.5/100 (developing), with a separate agent-readiness read of 67/100 (agent native). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Amazon Billing And Cost Management
Each block below is one kind of artifact we hold for Amazon Billing And Cost Management. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 10
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
AWS Price List API
The AWS Price List API allows programmatic querying of AWS service pricing information in JSON or CSV format. Retrieve price lists for all AWS services, filter by region and att...
Amazon Billing And Cost Management Anomaly Detection API
Detect and manage cost anomalies
Amazon Billing And Cost Management Budget Actions API
Automated actions when budget thresholds are exceeded
Amazon Billing And Cost Management Budgets API
Create and manage cost budgets
Amazon Billing And Cost Management Cost And Usage API
Query cost and usage data
Amazon Billing And Cost Management Cost Categories API
Organize costs with custom categories
Amazon Billing And Cost Management Forecasting API
Generate cost and usage forecasts
Amazon Billing And Cost Management Notifications API
Manage budget alert notifications
Amazon Billing And Cost Management Recommendations API
Cost optimization recommendations
Amazon Billing And Cost Management Tags API
Manage cost allocation tags
Scroll within the panel for all 10 ·
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
Semantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
context Context
JSON-LDSpectral Rules 1
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
JSON Schema 1
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
AWS Budget
JSON SCHEMAJSON Structure 1
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Billing Resource Structure
JSON STRUCTUREExamples 3
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Create Budget Example
EXAMPLEGet Cost And Usage Example
EXAMPLESecurity Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for Amazon Billing And Cost Management — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 2
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 5
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/amazon-billing-and-cost-management · machine-readable index on apis.io