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Amberflo

Amberflo is a cloud metering, usage-based billing, and AI cost management platform. It provides real-time event ingestion, customer billing automation, AI gateway capabilities, and FinOps visibility for API-driven and AI-powered businesses. The platform supports usage-based, token-based, seat-based, and outcome-based pricing models with automated invoicing and embeddable billing dashboards.

agent ready

Reference-quality API operations across every facet — a rich contract, published governance, transparent operations, and machine-readable commercial terms.

Kin Score

API Evangelist profiles Amberflo the way a machine reads it — 101 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 — Amberflo scores 75.7/100 (exemplar), with a separate agent-readiness read of 48/100 (agent ready). 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 Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 75.7/100 · exemplar
Contract Quality 17.9 / 25
Developer Ergonomics 12.6 / 20
Commercial Clarity 20.0 / 20
Operational Transparency 4.8 / 13
Governance 10.4 / 12
Discoverability 10.0 / 10
Agent readiness — 48/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 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

How we profile Amberflo

Each block below is one kind of artifact we hold for Amberflo. 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.

Amberflo Cost Tracking API

The Amberflo Cost Tracking API provides AI and cloud cost management capabilities including cloud provider integrations, business unit management, cost allocation rules, budget ...

Amberflo AI Gateway API

The Amberflo AI Gateway provides a unified API for routing requests to 1,500+ LLM models with intelligent model routing, cost optimization, built-in fallbacks, and MCP server tr...

Amberflo Customers API

Manage customer accounts and lifecycle

Amberflo Event Ingestion API

Ingest meter events for usage tracking

Amberflo Filtering Rules API

Manage meter event filtering rules

Amberflo Invoices API

Retrieve customer invoices

Amberflo Meter Definitions API

Create, read, update, and delete meter definitions

Amberflo Prepaid Orders API

Manage customer prepaid credit orders

Amberflo Pricing Plans API

Manage pricing plans and customer plan assignments

Amberflo Usage Queries API

Query aggregated usage data and raw events

Scroll within the panel for all 10 ·

Arazzo Workflows 12

Real integrations are rarely a single call. Arazzo describes the multi-step sequences — auth, then create, then confirm — so both a human and an agent can follow the choreography, not just the endpoints.

Multi-step API workflows described with the Arazzo specification.

Amberflo Create Customer and Assign Plan

Create a customer account then assign a pricing plan to them.

ARAZZO

Amberflo Create Meter and Ingest Event

Create a meter definition and immediately ingest a usage event against it.

ARAZZO

Amberflo Discover Meter and Query Usage

List meter definitions then query aggregated usage for a selected meter.

ARAZZO

Amberflo Get Customer Invoices

Look up a customer by ID then list their invoices.

ARAZZO

Amberflo Ingest and Query Usage

Ingest a meter event for a customer then query aggregated usage for that meter.

ARAZZO

Amberflo Launch Usage Based Product

Create a meter, onboard a customer, assign a plan, then ingest first usage.

ARAZZO

Amberflo Meter Usage and Top Up Prepaid

Ingest a usage event for a customer then fund a prepaid credit top-up.

ARAZZO

Amberflo Meter with Filtering Rule

Create a meter, attach a dimension filtering rule, then ingest an event.

ARAZZO

Amberflo Offboard Customer If No Invoices

Look up a customer, check for invoices, and delete them only when none exist.

ARAZZO

Amberflo Onboard Customer and Meter Usage

Create a customer, ingest a usage event for them, then query their aggregated usage.

ARAZZO

Amberflo Provision Customer Billing

Create a customer, assign a pricing plan, then fund a prepaid credit order.

ARAZZO

Amberflo Upsert Customer

Find a customer by ID and update it if it exists, otherwise create it.

ARAZZO

Scroll within the panel for all 12 ·

Pricing Plans 1

Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.

Published pricing tiers and plan structures.

Rate Limits 1

Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.

Documented rate limits and quota policies.

Amberflo Rate Limits

3 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.

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

Features 8

The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.

Notable capabilities this provider offers.

Real-Time Event Ingestion

Ingest millions to billions of high-cardinality usage events in real time with idempotency, deduplication, and automatic aggregation.

AI Cost Management

Unified LLM access and control across 1,500+ models with per-unit costs, rollups, budgets, Cost Guards, and margin analysis per customer.

AI Gateway and Model Routing

Single API for multiple LLM providers with intelligent cost optimization, automatic retries, fallbacks, and MCP server traffic monitoring.

Usage-Based Billing

Flexible billing models including usage-based, token-based, seat-based, fixed fee, and outcome-based pricing with multi-currency support and automated invoicing.

Embeddable Billing Dashboards

Customer-facing billing portals and dashboards via a React.js UI Kit with custom domain support and SSO integration.

Revenue Operations

Revenue recognition automation, RevRec ledger tracking, tax management, and integrations with Stripe and NetSuite.

Budget Management

Spending limits, threshold alerts, Cost Guards, and automated notifications for cloud and AI cost governance.

Chargeback and Showback

Chargeback rates, quotes, and invoices for internal cost allocation and showback reporting across business units.

Scroll within the panel for all 8 ·

Semantic Vocabularies 8

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.

Amberflo Billing Address Context

1 classes · 6 properties

JSON-LD

Amberflo Billing Customer Context

5 classes · 10 properties

JSON-LD

Amberflo Billing Invoice Context

1 classes · 7 properties

JSON-LD

Amberflo Billing Prepaid Context

3 classes · 5 properties

JSON-LD

Amberflo Billing Pricing Context

1 classes · 3 properties

JSON-LD

Amberflo Metering Filtering Context

1 classes · 5 properties

JSON-LD

Amberflo Metering Meter Context

3 classes · 10 properties

JSON-LD

Amberflo Metering Usage Context

3 classes · 11 properties

JSON-LD

Scroll within the panel for all 8 ·

Spectral Rules 2

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.

Amberflo API Rules

5 rules · 3 warnings

SPECTRAL

Amberflo API Rules

10 rules · 1 errors · 8 warnings

SPECTRAL

JSON Schema 14

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.

Address

6 properties

JSON SCHEMA

CustomerRequest

8 properties

JSON SCHEMA

Customer

13 properties

JSON SCHEMA

Invoice

7 properties

JSON SCHEMA

PrepaidOrderRequest

4 properties

JSON SCHEMA

PrepaidOrder

6 properties

JSON SCHEMA

PricingPlanAssignment

3 properties

JSON SCHEMA

FilteringRule

5 properties

JSON SCHEMA

MeterDefinitionRequest

4 properties

JSON SCHEMA

MeterDefinition

6 properties

JSON SCHEMA

MeterEvent

7 properties

JSON SCHEMA

UsageQueryRequest

8 properties

JSON SCHEMA

UsageQueryResponse

1 properties

JSON SCHEMA

UsageRecord

2 properties

JSON SCHEMA

Scroll within the panel for all 14 ·

JSON Structure 14

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 Address Structure

6 properties

JSON STRUCTURE

Billing Customer Request Structure

8 properties

JSON STRUCTURE

Billing Customer Structure

13 properties

JSON STRUCTURE

Billing Invoice Structure

7 properties

JSON STRUCTURE

Billing Prepaid Order Request Structure

4 properties

JSON STRUCTURE

Billing Prepaid Order Structure

6 properties

JSON STRUCTURE

Billing Pricing Plan Assignment Structure

3 properties

JSON STRUCTURE

Metering Filtering Rule Structure

5 properties

JSON STRUCTURE

Metering Meter Definition Structure

6 properties

JSON STRUCTURE

Metering Meter Event Structure

7 properties

JSON STRUCTURE

Metering Usage Query Request Structure

8 properties

JSON STRUCTURE

Metering Usage Query Response Structure

1 properties

JSON STRUCTURE

Metering Usage Record Structure

2 properties

JSON STRUCTURE

Scroll within the panel for all 14 ·

Examples 14

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.

Scroll within the panel for all 14 ·

Security Posture 3

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.

Amberflo Authentication

apiKey · 1 scheme

SECURITY

Amberflo Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Amberflo Trust Center

SOC 2

SECURITY

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.

Amberflo Agentic Access

17 operations · 11 acting

17 operations · 11 acting

AGENTIC

Use Cases 6

What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.

What developers build with this provider.

API Monetization

Meter API usage and automatically bill customers based on calls, tokens, or custom events with flexible pricing models.

AI Cost Governance

Track and govern LLM spending across teams and customers with budgets, alerts, and per-customer cost attribution.

SaaS Billing Automation

Automate end-to-end billing for SaaS products with usage-based pricing plans, invoicing, and customer portals.

Cloud FinOps

Allocate and showback cloud costs to business units and customers using automated cost allocation rules and chargeback workflows.

Customer Cost Transparency

Provide customers with real-time visibility into their usage and costs via embedded dashboards and billing portals.

Usage Analytics and Reporting

Query and analyze usage data in real time with batch and sparse query modes, raw event queries, and revenue calculation analytics.

Integrations 6

Pre-built integrations with other platforms tell you where this provider already fits in a stack.

Pre-built integrations with other platforms and tools.

Stripe

Native integration with Stripe for payment processing and revenue operations workflows.

NetSuite

Integration with NetSuite for revenue recognition and financial reporting.

Kong

Official Kong plugin for metering API requests handled by Kong instances and monetizing APIs.

AWS SaaS Builder Toolkit

Integration with AWS SaaS Builder Toolkit for SaaS billing and metering best practices on AWS.

LiteLLM

Logging callback for LiteLLM to meter LLM usage and monitor AI costs.

AWS Lambda

Examples and utilities for metering AWS Lambda function invocations.

Resources

Every other property we hold for Amberflo — 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.

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Commercial 3

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/amberflo · machine-readable index on apis.io