See Exactly Where Every AI Dollar Goes

Token-level cost attribution across every model, provider, team, customer, and feature—in real time. Stop guessing. Start tracking and monetizing.

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Slice costs any way you need

Break down AI spend by model, customer, team, or feature—all from the same unified event stream.

By Model
By Customer
By Team
By Feature

Charge by model with full cost clarity

Break down AI spend across every model you use, from GPT-4-class workloads to embeddings and open-source deployments. See which models drive cost, compare efficiency, and price usage more accurately.

  • Separate usage and cost by model, version, or deployment
  • Compare input, output, and cached token spend per model
  • Track model-level margins across customers or teams
  • Spot expensive workloads and shift traffic to better-fit models

Know exactly what each customer costs you

Attribute every token, API call, and compute dollar to the customer that triggered it — in real time.

  • Map AI usage and costs down to the individual customer level
  • Identify your highest-cost and highest-margin customers
  • Track per-customer usage trends to spot cost anomalies before they escalate
  • Correlate customer revenue against underlying AI costs for true margin visibility

Allocate AI spend across every team and department

Replace spreadsheets and guesswork with automated, real-time cost attribution across your org.

  • Automatically tag and allocate AI costs to engineering, product, data science, or any internal team
  • Set per-team budgets and enforce spend limits before costs spiral
  • Enable internal chargebacks with accurate, auditable cost breakdowns
  • Compare consumption patterns across teams to find optimization opportunities

Pinpoint which features drive your AI costs

Break down spend by product feature, workflow, or use case — so you know exactly where every AI dollar goes.

  • Attribute AI costs to specific product features like search, summarization, image generation, or chat
  • Identify which features consume the most tokens and compute relative to their value
  • Spot underperforming or over-consuming features before they erode margins
  • Make data-driven decisions on which AI-powered features to scale, optimize, or sunset

Complete Cost Visibility, Built for AI

Built specifically for AI-native pricing complexity—not retrofitted from legacy SaaS billing tools.

Token-Level Attribution

Attribute every input and output token to it exact source—model version, request type, user, and feature. No black boxes, no estimates.

Cost-to-Revenue Margin View

See AI cost and customer revenue side by side. Know which customers and features are profitable—and which are costing you money.

Unified Multi-Provider View

Track costs across Anthropic, OpenAI, Google, Cohere, AWS Bedrock, and Azure OpenAI in a single unified dashboard.

Hierarchical Cost Allocation

Slice spend by any combination of dimensions —org → team → project → feature → customer —with zero re-instrumentation.

Proactive Budget Alerts

Set spend thresholds at any level. Get notified before costs spiral—not after the invoice lands Automatically enforce hard limits.

Real-Time Cost Guards

Enforce spending limits in real time with programmable cost guards. Automatically throttle, block, or reroute when thresholds are hit.

Every invoice is traceable to every event

Line items aren't estimates—they're computed directly from your usage events.

Get ahead of runaway AI spend

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Configure budget thresholds at any granularity. Amberflo monitors spend in real time and alerts your team—or automatically enforces limits—before budgets are breached.

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  • Spend Threshold Alerts
    Notify at 50%, 80%, and 100% of any budget—per customer, team, or model.
  • Hard Cost Guards
    Programmatically block or throttle requests once a spend limit is reached.
  • Anomaly Detection
    Automatically flag usage spikes that deviate significantly from historical patterns.

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Track Costs in Minutes

Send one event per AI call. Amberflo handles attribution, pricing, alerts, and billing from there.

1

Install the SDK

Add the Amberflo SDK to your stack. Available for Node.js, Python, Go, Java, and Ruby.

2

Tag Your Events

Attach the dimensions you care about—model, customer ID, team, feature —as metadata on each event.

3

Costs Flow Automatically

Amberflo resolves prices, updates dashboards, evaluates budgets, and triggers alerts in real time—zero extra config.

4

Same Event Powers Billing

The exact same usage data drives customer invoices. One source of truth for internal costs and external billing.


npm install @amberflo/metering

import { MeteringClient } from '@amberflo/metering';

const af = new MeteringClient({
  apiKey: 'YOUR_KEY'
});

await af.meter({
  meterApiName: 'tokens-consumed',
  customerId: 'cust_abc123',
  meterValue: 4096,
  meterTimeInMillis: Date.now(),
  dimensions: {
    model: 'claude-3-5-sonnet',
    feature: 'smart-search'
  }
});

Built for the AI-Era

Features Legacy Billing
AI Cost Tracking and Governance
AI Metering with Usage Guards
Product, Team, App Level Cost Guards
Margin profile per customer
Credits, Usage, Outcome based Billing
Interactive Customer usage, cost, and invoice explorers

Start Cost Tracking and Billing.

Unify AI cost tracking and customer billing in one place. Track usage, allocate spend, and invoice with confidence.

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