Monetize every AI token, call, and agent activity
AI workloads don't fit traditional seat-based pricing. Get high-fidelity metering built for unpredictable, high-frequency consumption—with real-time visibility for you and your customers.
Purpose Built for AI-Era SaaS & Software
Infrastructure designed for AI‑scale metering & monetization
Not a billing system with metering bolted on. A metering engine built from the ground up for high-frequency, high-volume workloads that works with any billing system. As the AI landscape rapidly evolves, organizations need a robust monetization strategy and a dedicated AI monetization strategy to effectively manage costs, create value, and remain competitive.
Flexible Rating Engine
Any pricing model you can imagine. Credits, tiers, volume, time-based—all supported. Flexible rating engines enable dynamic pricing strategies, including AI pricing strategy and the ability to adjust tiers as needed to optimize your overall pricing strategy.
Cost Attribution
Track costs per customer, per feature, per model. Granular cost attribution enables you to monitor unit economics, protect gross margin, and uncover cost savings opportunities. Know exactly where margin goes.
Usage Limits & Alerts
Set hard caps or soft warnings. Usage caps and AI credits are effective tools for managing customer usage and preventing overages. Prevent runaway costs before they happen.
Sub-Second Ingestion
Events are processed in milliseconds. No batching delays, no reconciliation headaches. Infrastructure reliability and scalability are key — your metering layer must handle traffic spikes and scale seamlessly as AI usage grows.
Multi-Model Support
OpenAI, Anthropic, self-hosted — meter usage across any AI infrastructure. Whatever provider you use now or adopt in the future, AI monetization requires support for all of them. AI technology moves quickly — your metering must be provider-agnostic.
Real-Time Dashboards
Customers see their usage as it happens. No waiting for end-of-month surprises. Real-time dashboards improve cost predictability and enhance customer satisfaction by providing transparency into usage and billing, helping users better understand and trust the AI feature monetization process.
By leveraging Nalpeiron's platform, UiPath ensured its licensing operations could keep pace with its rapid growth, allowing it to focus on its core mission of accelerating human achievement through automation. This partnership has been integral to UiPath's success.
Mihai Faur
SVP – Chief Information Officer, UiPath
The Challenge
Why AI breaks traditional pricing
Flat-rate subscriptions worked for predictable SaaS. But every AI interaction burns real compute and inference cost, so consumption — and your costs — swing wildly. Your pricing has to keep up.
Unpredictable costs
AI costs scale with every token and inference — flat-rate pricing doesn't. Margins erode as usage grows.
Batch billing blind spots
Systems that rate usage daily or weekly can't enforce limits or catch anomalies in time. AI needs sub-second visibility.
Scale constraints
Token-level metering generates millions of events. Most billing systems were never built for that volume.
Attribution complexity
AI agents call many models, APIs, and services. Without granular attribution, the true cost per customer is impossible to see.
Architecture
From event to rated usage in milliseconds
A purpose-built pipeline for AI-scale usage data.
Monitor Events
Send usage events via SDK or API. Tokens, compute, actions—whatever you meter.
Real-Time Processing
Events are ingested, validated, and attributed to customers in milliseconds.
Flexible Rating
Apply your pricing rules: credits, tiers, volume discounts, custom rates.
Visibility & Control
Customers see their usage live. You control limits and overages in real-time.
Pricing Models
AI pricing models that actually work
Choose the model that fits your product. Combine them for hybrid pricing. Change your mind without re-engineering your billing stack.
Credit Burndown
Customers buy credit pools upfront and burn them per AI action — predictable budgets, guaranteed revenue.
Pay as You Go
Bill on actual consumption, metered in real time. Ideal for API-first products with variable usage.
Seat-Based
Charge per user, with AI feature access governed by entitlements and usage limits on heavier tiers.
Flat Rate
Fixed-price plans with defined AI allowances — simple to sell and easy for customers to understand.
Hybrid
Combine seats, usage, and credits in one plan — the most common model for AI-powered products.
Tiered Usage
Volume discounts as consumption grows, rewarding your heaviest users with better unit economics.
Go Deeper
How do you monetize
AI functionality?
It comes down to three things — the metering that measures it, the credit model that packages it, and the billing the agentic era now demands. Explore each in depth:
Flexibility
Meter anything your AI consumes
From LLM tokens to agent actions, track every unit of value your product delivers. You can meter both basic features and advanced AI features, and offer them as add-ons for flexible monetization, allowing you to tailor pricing and packaging to different customer needs.
LLM Tokens
Input and output tokens across any model provider
Compute Time
GPU seconds, inference time, processing duration
Agent Actions
Tool calls, reasoning steps, autonomous decisions
API Calls
External service invocations, webhooks, integrations
Storage & Retrieval
Vector DB queries, embeddings, document processing
Custom Events
Any measurable unit your product defines
Buy vs. Build
Building AI metering is deceptively complex, make it easier
"We'll just count tokens and store them in Postgres."
Until you need real-time limits. And multi-model attribution. And usage dashboards. And audit trails.
Launching AI features requires robust metering and feedback loops to ensure successful adoption and optimize feature deployment. Beta programs are essential for testing and refining new AI features before full-scale launch, providing valuable feedback and usage data to inform monetization strategies.
Event ingestion that scales to millions of events per hour
Real-time aggregation with sub-second latency
Exactly once metering and processing
Customer-facing dashboards and alerts
Flexible rating rules that change without deployments
Use a complete platform for AI metering & billing
AI metering is one piece of the puzzle. The Monetization Engine delivers the full picture — flexible pricing models, real-time rating, entitlement control, and billing integration. AI providers need robust solutions to monetize AI products and support evolving business models, ensuring their offerings remain competitive and profitable. Power any pricing page you can imagine, from pay-per-token to hybrid plans, without rewriting your product.
Explore the platformReal-Time Rating
Apply pricing rules to usage events as they happen
Any Pricing Model
Seats, tokens, credits, tiers, hybrid — all supported
Entitlement Control
Enforce access and limits in real-time per customer
Billing Integration
Connect to Stripe, NetSuite, Zuora, or any billing system
Any Pricing Page. Any Rate Table.
Build the exact pricing page your market demands — per-token rates, credit packs, tiered volume discounts, hybrid seat-plus-usage plans. Define rate tables that update instantly without code changes or deployments.
FAQ
AI monetization FAQ
How credits, usage, and hybrid pricing work for AI products — and how to bill for them.
Ready to monetize AI with confidence?
Book a demo and we'll show you exactly how the platform meters and monetizes your AI use case — and answer any questions you have. Prefer to talk it through first? We're happy to help.