O2 CAPABILITY OF AGILE MONETIZATION
Granular Usage Metering
Usage and outcomes metered per customer, per product, per feature has become critical capability when moving beyond seats and lisences. Metering turns high-fidelity usage data into metered data that defines the amount of value customer got and how much it cost.
What You Can’t Meter, You Can’t Price.
Metering has changed. It stopped measuring just products. It started measuring value.
For years, metering was an operational capability—good enough for monitoring, reporting, and product analytics. AI, usage, and outcome-based business models changed that.
Modern monetization demands a different kind of metering: granular enough to measure every customer, product, feature, transaction, and outcome; real-time enough to detect and prevent problems before they escalate; and trusted, run on high-fidelity monetization data and not just any data.
Anything less leaves product, customers, and finance operating and making decisions on incomplete or unreliable metered data. UsageCloud delivers the granular, real-time, finance-grade metering modern monetization demands.
What We Hear Every Day.
Missing meters slow innovation
The product team wants to launch token-based pricing next month. A competitor launched theirs last quarter. But your metering layer was built for seats and subscriptions. Engineering estimates six weeks of rework before you can even start.
36%
Say they can’t launch or change a monetization model without major metering rework
Customers stop trusting the invoice.
A customer calls Finance asking what drove this month’s charges. The invoice shows totals, but no breakdown. Feature-level usage was never metered. The bill can’t be explained. The renewal is suddenly at risk.
40%
Say “customer can’t reconcile the bill” as a top dispute
Research: The Year Customers Audited the Invoice, DigitalRoute
Finance loses confidence in the numbers.
It’s the third week of the month. The metering summary reports 12.4 million AI credits. The source events show 12.7 million. Two analysts are manually reconciling the difference before the audit. No one knows which number is correct.
61%
Can’t produce audit-grade lineage from actual usage to reported revenue
Research: The Year Customers Audited the Invoice, DigitalRoute
01
Our Solution.
02
How Our Metering Works?
Three functional steps. One continuous process.
Configure the meters your business needs. Meter every usage event autonomously in real time. Generate continuously updated meter summaries for downstream systems, consumption and observability.
Meter types specify what and how you measure usage — unit, aggregation, and reset period. Individual meters track customers, subscriptions, assets, or features. Units and accumulation periods are configurable, so you can add pricing dimensions without a schema migration.
Validated, enriched usage events route into the right meters as they arrive. Raw signals convert into the configured billable unit — MB to GB, seconds to hours, ten API calls to one credit. Running meter state maintained per customer, per product, per feature, as events flow in.
At each defined period, compact summaries arrive per customer, subscription, and feature. Each summary line links back to its source events. Pricing, billing, ERP, and analytics work from summaries—not raw events—composed via configuration, not code. Meter state is queryable in real time down to each customer, product, and billable unit.
03
Metering. Reimagined.
Every business defines unit of value differently. Meter by customer, product, feature, API, AI credits, transaction, workflow, machine, cost, tenant—or any combination. Unlike competing platforms UsageCloud Metering adapts with ease to what matters to your business. No limits, meter to what your telemetry happens to provide.
Meter What Matters. Not Just What’s Easy.
Meter the business exactly as it creates value. Customer, product, feature, API, AI model, workflow, transaction, outcome, cost, tenant—or any combination. Configure new meters in minutes, not code. No Limits.
Meter Continuously. Not After the Fact.
Revenue doesn’t wait for batch jobs. Every event stream is metered the moment it happens, giving product, customer, and finance teams real-time observability before small issues become expensive ones. No blindspots.
Meter On Hi-Fidelity Data. Not Bad Data.
A perfect meter built on bad data is still wrong. UsageCloud meters validated, enriched, contextualized, high-fidelity monetization data—so every number is accurate, traceable, and trusted from product to finance. No Leaks.
Built Differently.
For more than 25 years, we’ve built metering around three principles that matter more than ever in the shift to AI, usage, and outcome-based business models: meter any usage or outcome event at enterprise scale, meter continuously in real time, and meter only from high-fidelity monetization data that is complete, corrected, validated, and contextualized. It’s this combination of architecture and enterprise expertise that makes UsageCloud fundamentally different.
01
Granular and Agile
Meter exactly what your business monetizes. Customer, product, feature, AI model, workflow, cost, or outcome. Configure new meters in minutes—not engineering projects.
02
Continuous Stream Processing
Know what is happening as it happens. Every usage event is metered instantly, giving product, operations, and customers real-time visibility instead of month-end surprises.
01
Runs on Hi-fidelity data
Trusted meters start with trusted data. Every event is validated, corrected, enriched, and contextualized before it reaches the meter—eliminating silent errors and revenue leakage.
01
Fully Traceable
Every number has an explanation. Trace every meter, summary, and invoice back to the original usage events with complete auditability.
01
Autonomous
Modern metering runs itself. Continuous metering, threshold monitoring, overages, and entitlements happen automatically—without manual intervention.
01
Intelligent
See problems before customers do. Detect anomalies, usage spikes, fraud, unusual consumption, and revenue risks the moment they happen.
01
Financial Integrity
Give finance numbers they can trust. Every monetization record is reconciliation-ready, fully auditable, and traceable from raw event to recognized revenue.
Let´s Find Your Metering Gaps
Most companies can meter. But not in granular, agile, in realtime and finance-grade enough.
In a complimentary assessment, we’ll benchmark your current capabilities against the best-in class metering and show you exactly what to improve—and how.
What Changes?
The Metering Advantage.
The best metering isn’t just the one that counts events. It’s the one that transforms and changes how your business runs. Here’s what that means for the different teams that depend on it every day.
A01
For engineering — from coding spiral to momentum
Stop writing meter logic for every new pricing model. Configuration replaces code. Metering is defined through UIs, APIs and MCP. Conversions, accumulation periods, customer-level state — all platform-managed.
A02
For product & pricing — from guesswork to confidence
New pricing dimensions — features, outcomes, tiers — shipped as configuration, not engineering tickets. Granularity matches how customers actually consume value, not how the system defaults to roll up. Pricing run on real meter data, not on assumptions.
A03
For finance — from fragmented to one financial truth
Meter summaries arrive bill-ready. Every line traces back to source events. Detect and reconcile discrepancies early, not in month-end discovery work. Audit responses retrieved from the audit log, not reconstructed under deadline.
Proofs of Impact.
The speed of innovation is increasing. So is the complexity of metering. Every new product, feature, customer, or AI capability creates another unit of value to measure. UsageCloud helps you create, adapt, and observe unlimited meters in real time—without writing code.
200M+
Active meters
Running continuously across enterprise environments.
5M+
Metered Usage events / second
Real-time metering for a single enterprise customer.
3× Faster
Launch of new pricing
Configured (not coded) complex meters for a AI product in hours
From 5 to 25
Reduced manual processing through work automation
40% Less
Engineering effort
No rebuilding. No schema rewrites. No custom meter development.
90% Less
Revenue leakage
High-fidelity metering catches missing, incorrect, and duplicate usage before it reaches finance.
Explore More.
Research: State of AI Monetization 2026, DigitalRoute
Usage, outcomes, throughput, tokens — 40% still don’t know what their AI charge should be based on. Yet every model call is a monetization decision, and 76% say real-time usage data is critical to getting it right. See why AI pricing broke at the meter.
UsageCloud documentation:
From device event to billable usage
A worked example of granular metering end to end: meter types, live usage events, and thresholds that trigger notifications or deactivation automatically. See exactly how it’s configured.
Research: From Usage to Revenue 2026, DigitalRoute
Before usage can be priced, it has to be metered. 20.8% hit breaking points just defining the billable unit. 31.5% at capturing usage events reliably. See where the chain from meter to revenue breaks.