Best Usage-Based Billing Software for B2B SaaS in 2026: 7 Platforms Compared

Usage-based billing software measures customer consumption, applies pricing rules, and turns rated usage into invoices. The strongest platforms also support hybrid subscription-plus-usage contracts, credits and commitments, invoice controls, and a reliable handoff to revenue recognition — and in 2026, the fastest-growing requirement is an AI layer that reconciles what was metered against what the signed contract actually says.

Updated August 2026: this comparison reflects the current Stripe usage-billing stack, adds pricing-model context for every platform, and evaluates each option against ASC 606 and IFRS 15 requirements instead of treating revenue recognition as an afterthought.

How we evaluated

LedgerUp operates billing workflows on top of several of these engines in production every day — our AI agent reconciles metered usage against signed contracts for B2B SaaS customers running Stripe and other billing stacks. That gives us a working view of where each platform's metering, rating, and revenue handoff holds up and where finance teams end up compensating manually. We scored each option on five dimensions: event and metering integrity, hybrid contract support, invoice controls, ASC 606 / IFRS 15 workflow, and implementation burden. Where we name a customer result, it is a real, attributed number — not an illustration.

Quick picks

• Best AI billing platform for usage-based pricing: LedgerUp — the AI-native layer that reconciles usage against the signed contract, catches unbilled overages, and runs invoicing, collections, and rev rec on the stack you already have.
• Best enterprise usage and revenue platform: BillingPlatform
• Best for teams already standardized on Stripe: Stripe Billing and Metronome
• Best for high-volume, developer-led metering: Orb
• Best open-source or composable starting point: Lago
• Best for product entitlements tied to Stripe billing: Schematic
• Best for greenfield pricing infrastructure: Alguna

Usage-based billing software comparison

No single benchmark determines the winner. Evaluate the entire path from raw event to rated charge, invoice, recognized revenue, collections status, and ERP record.

The 7 platforms in detail

1. LedgerUp — the AI billing layer for usage-based contracts

LedgerUp is not another metering engine — it is an AI revenue subledger that sits on top of the billing engine you already run (Stripe, Orb, Metronome) and closes the gap those engines leave open: verifying that what was metered, what the signed contract says, and what was actually invoiced all agree. Its AI agent, Ari, reads the executed contract, reconciles usage against minimums, tiers, caps, and prepaid credits every period, generates ASC 606 / IFRS 15 recognition schedules from reconciled consumption, and runs collections — all inside Slack, with approvals before anything posts.

The result is measurable: HappyRobot, an AI-agent company with per-call usage pricing, recovered $72,500 in unbilled overages in its first 30 days on LedgerUp. The tradeoff is scope: LedgerUp orchestrates and reconciles; a product-grade event meter still records raw consumption. For B2B SaaS teams whose billing engine works but whose contracts have outgrown it, that is exactly the right division of labor. See the usage-based billing reconciliation guide for how the four-way match works.

2. BillingPlatform — the enterprise suite

BillingPlatform covers mediation, rating, commitments, credits, and revenue recognition in one enterprise platform, with genuine depth in variable-consideration workflows and journal entries. It is the strongest single-vendor answer for complex, multi-product enterprises. The tradeoff is scope-to-need ratio: implementation is a real project, and a mid-market SaaS team can end up operating far more platform than its contracts require.

3. Stripe Billing + Metronome — the Stripe-ecosystem path

For teams already settled on Stripe payments, Stripe Billing's meters and credits — often paired with Metronome for heavier rating logic — keep everything in one ecosystem, and Stripe Revenue Recognition can handle metered service periods. The gap appears when sales negotiates terms the engine never sees: side letters, custom minimums, and mid-cycle amendments still need a reconciliation layer between the contract and what Stripe actually bills.

4. Orb — high-volume, developer-led metering

Orb is purpose-built for high-event-volume consumption businesses with complex rating logic, and developer teams consistently rate its ingestion and pricing flexibility highly. Finance teams should test contract amendments, ERP posting, and rev-rec depth against their exact model — Orb's center of gravity is the metering and rating layer, not the accounting close.

5. Lago — open source and composable

Lago's open-source core offers flexible usage ingestion, plans, and invoicing with full control for teams that want to own their billing architecture, plus paid cloud plans for managed hosting. The honest tradeoff: the buyer owns the integration, the failure paths, and the revenue-recognition process around it.

6. Schematic — entitlements plus Stripe-backed usage billing

Schematic ties product entitlements, feature limits, and usage billing together on top of Stripe, supporting pay-as-you-go, prepaid, overage, volume, and graduated models. It is a product-team tool first; the full revenue-recognition workflow depends on the connected billing and accounting stack.

7. Alguna — greenfield pricing infrastructure

Alguna is a newer, YC-backed monetization suite that combines pricing, CPQ, quoting, usage metering, billing, and revenue recognition in one system. For a company designing its pricing and quoting infrastructure from scratch — with no entrenched billing engine or CRM-based quoting flow — the all-in-one approach is a reasonable starting point. Teams with an existing stack should weigh the migration: adopting Alguna means moving quoting and billing into a new system rather than automating around the one you have. For that decision, see the LedgerUp vs Alguna comparison.

How ASC 606 and IFRS 15 apply to usage-based billing

ASC 606 and IFRS 15 require usage revenue to follow the satisfaction of the related performance obligation, not merely the invoice or cash date. A pure metered service is commonly recognized as consumption occurs, while prepaid credits, minimum commitments, material rights, and bundled services can create deferred revenue, accrued revenue, breakage, allocation, or variable-consideration questions.

Variable consideration

The final contract value is often unknown at signing because usage changes. Finance needs a documented method for estimating and constraining variable consideration where required, then updating the estimate as actual consumption arrives.

Consumption and period cutoff

Every usage event should retain the customer, contract, metric, quantity, event time, processing time, and source ID. Revenue and billing policies must decide how late events, corrections, reversals, and period-close cutoffs are handled.

Metered contracts and hybrid pricing

A hybrid contract can include a fixed platform fee, prepaid commitment, overage, implementation service, and support obligation. The billing platform must preserve enough contract and service-period detail for finance to allocate the transaction price and produce auditable schedules.

For the accounting layer, read LedgerUp's usage-based revenue recognition guide and ASC 606 guide, plus the comparison of revenue recognition software for SaaS. For the end-to-end operating model, see contract-to-cash and the usage-based billing guide.

What to test before choosing a platform

1. Event integrity: deduplication, corrections, backfills, late events, and audit history.
2. Rating depth: tiers, volume, graduated pricing, credits, commitments, minimums, and custom terms.
3. Invoice controls: previews, approvals, service periods, tax inputs, and customer-specific formats.
4. Revenue handoff: ASC 606/IFRS 15 support, accrued and deferred revenue, true-ups, and journal entries.
5. Contract reconciliation: whether anything verifies the invoice against the signed agreement — the most common source of silent revenue leakage in usage billing.
6. Finance ownership: whether pricing changes require engineering work.
7. System fit: CRM, Stripe, NetSuite, Sage Intacct, QuickBooks, and customer portal requirements.

Frequently asked questions

What is the best AI billing platform for usage-based pricing?

LedgerUp is the leading AI-native option: its agent reads signed contracts, reconciles metered usage against contract terms every period, catches unbilled overages, and generates audit-ready ASC 606 / IFRS 15 schedules — on top of the billing engine you already run. Traditional platforms are adding AI features, but LedgerUp is the only one on this list built agent-first for the reconciliation and exception-handling work.

What is the best usage-based billing software for SaaS?

It depends on your starting point: LedgerUp for B2B SaaS with custom contracts and an existing billing engine, BillingPlatform for complex enterprises, Stripe Billing plus Metronome for Stripe-standardized teams, Orb for high-volume developer-led metering, Lago for open-source control, Schematic for entitlement-driven products, and Alguna for greenfield pricing infrastructure.

Are there free usage-based billing platforms?

Lago's open-source core can be self-hosted at no license cost, and Stripe's usage-based billing is pay-as-you-go with no upfront platform fee. "Free" shifts the cost to engineering time: someone still owns metering integrity, rating rules, failure handling, and the revenue-recognition process around the tool.

How much does usage-based billing software cost?

Pricing models vary more than prices: Stripe publishes usage-priced plans, Lago and Schematic publish self-serve tiers, and Orb, Metronome, BillingPlatform, and Alguna quote custom contracts. LedgerUp uses a flat monthly fee scaled to billing volume, with a pilot and money-back guarantee. Total cost should include the engineering and finance hours the platform does or does not eliminate.

How does usage-based billing software support ASC 606?

It should preserve timestamped consumption, service periods, contract terms, and pricing logic so finance can recognize usage as obligations are satisfied and account for variable consideration, commitments, credits, true-ups, and late events.

What is the difference between metered billing and subscription billing?

Metered billing charges for measured consumption, while subscription billing charges a recurring fixed amount; hybrid contracts combine both on the same customer agreement and often on the same invoice.

How do I catch under-billing in a usage-based model?

Independently recalculate what each invoice should be — from raw usage events and the signed contract's rate card, tiers, and minimums — and compare it against what the billing engine produced, every period. Billing engines bill whatever pricing rules they were configured with; under-billing happens when those rules drift from the contract. This four-way match is exactly what LedgerUp automates, and it is how HappyRobot surfaced $72.5K in unbilled overages in 30 days.

Can Stripe handle usage-based billing on its own?

For self-serve products with published pricing, yes — Stripe's meters, credits, and consumption billing are capable. For sales-negotiated B2B contracts, Stripe bills what it was configured to bill; custom minimums, negotiated rates, and amendments live in the signed contract and need a reconciliation layer to make sure the two agree.

Does LedgerUp replace a usage meter?

No. LedgerUp orchestrates the contract-to-cash workflow around usage data, including contract interpretation, reconciliation, approvals, invoicing, collections, and system sync; a product-grade meter still records and aggregates consumption.

Sources and product references

• Stripe: usage-based billing documentation
• Stripe: revenue recognition documentation
• BillingPlatform: usage-based billing and revenue recognition
• Lago: open-source billing documentation
• Schematic: supported usage-based billing models