2. Metronome

Metronome is a monetization infrastructure that is built for product-led scale and sales-led complexity. To keep up with the demands of the AI era with real-time metering, pricing, billing, and reporting. As one of the alternatives to Schematic, it lets teams stream events, define metrics and pricing, and then apply those rules across various pricing models. 

Stripe has acquired Metronome, which means it fits most naturally within the Stripe ecosystem.

This limits flexibility for companies that want to use multiple payment gateways or avoid relying entirely on a single payment provider. Over time, this can create Stripe lock-in, making it harder for you to switch payment infrastructure or implement multi-gateway payment strategies as they scale.

Key features

• Event metering and billable metrics: Metronome ingests high-volume usage events and lets teams define billable metrics.

• Flexible pricing and rate cards: It supports usage-based, subscription, and composite products, and handles tiers, minimums, overages, and dimensional pricing

• Customer-facing usage and spend visibility: You can show real-time usage and spend data to your customers via dashboards, with configurable alerts and limits so that they can monitor and control consumption.

Pros

• Highly scalable usage metering: Built to process millions of usage events and track metrics like API calls, compute, or storage with high accuracy.

• Developer-friendly architecture: Strong APIs and event-driven infrastructure make it easier for engineering teams to integrate billing directly into product workflows.

• Flexible pricing models: Supports usage-based, hybrid, and tiered pricing structures for modern SaaS and AI products.

• Strong support team: User reviews highlight responsive support and the ability of the team to understand complex processes quickly.

Cons

• Engineering-heavy implementation: Integrating and maintaining metering pipelines can require significant engineering effort compared to more plug-and-play billing tools.

• Focused primarily on metering: The platform is strong for usage tracking, but may require additional systems for broader finance operations.

• Operational complexity with usage billing: Teams adopting usage-based pricing often face challenges around pricing strategy and cost predictability.

Pricing

Metronome offers a free Starter plan for teams launching usage-based products. Custom enterprise pricing is available, but for that, you need to contact their sales team.

Best suited for

Best for teams that want a Stripe-native usage metering solution and plan to standardize on Stripe long-term. With Metronome now part of Stripe, it fits well inside that ecosystem, but is less suitable if you need vendor flexibility, cross-provider integrations, or frequent pricing experimentation.

3. Lago

Lago is an open-source option among Schematic alternatives for teams that want to self-host billing infrastructure. This makes it attractive for engineering teams that prefer managing billing inside their own stack.

However, it often falls short for companies running more complex monetization models. Lago does not support contract ramping, quote or renewal management, or account hierarchies for shared billing across organizations.

Credit workflows are also limited; there are no separate conversion rates for promotional credits, no invoice-backed checkout for credit top-ups, and no advanced balance alerts for spend thresholds.

Key features

• Open-source: Lago can be self-hosted and cloud-hosted for maximum flexibility

• Real-time usage tracking: You can track all the events in real-time for accurate billing

• Flexible pricing: You get the flexibility to go with various pricing models to see what fits best 

• High-volume event ingestion: Lago can handle high volumes of events from metering to billing

Pros

• Open-source and self-hostable, giving teams code transparency and deployment control similar to Flexprice.

• Solid basic usage-based metering with event aggregations and flexible charge models handling around 15K billing events per second.

• Supports prepaid credit wallets with recurring top-ups, expiration dates, and up to 5 active wallets per customer.

• Granular usage filtering lets you segment billing by metadata like model type or token category within a single billable metric.

• Custom pricing units with conversion to fiat for invoicing, useful for abstracting billing into credits or tokens.

Cons

• No parent-child account hierarchy, so multi-entity billing, credit sharing, and consolidated invoicing require custom workarounds.

• No ramped contracts, meaning pilot-to-scale pricing transitions need manually created plan versions and backend scheduling logic.

• No built-in quote or renewal management, forcing sales-led deals into spreadsheets, PDFs, or external CRM add-ons.

• Entitlements are tightly coupled to the subscription lifecycle rather than operating as a flexible, independent layer.

• No separate spend vs. top-up conversion rates, making promotional credit campaigns harder to model without distorting revenue accounting.

• No per-feature low-balance alerts, multi-level threshold notifications, or invoice-backed checkout flow for credit top-ups.

• No native pricing iteration tools like staged rollouts, A/B experiments, or version history; core plan properties lock once subscribers are attached.

Pricing

Lago offers custom pricing for its Business and Enterprise plans, depending on usage scale and deployment needs. For more information, contact their sales team.

Best suited for

Developer teams that want a simple open-source billing foundation for basic usage-based pricing and event metering. Companies running straightforward credit-based billing with prepaid wallets, recurring top-ups, and expiration rules. SaaS products with relatively simple pricing models that do not require complex enterprise contracts, pricing experimentation, or account hierarchies. Teams are comfortable building additional billing workflows themselves, such as consolidated invoicing, credit automation, or pricing migrations, as their monetization needs grow.

4. OpenMeter

OpenMeter is an open-source usage metering platform built to track real-time product usage for APIs, infrastructure services, and AI applications. It captures events like API calls, tokens, compute usage, or model interactions and converts them into measurable usage data for usage-based billing.

For teams evaluating Schematic alternatives, OpenMeter provides the core metering layer that tracks product consumption.

However, OpenMeter focuses mainly on usage tracking and pricing calculations, not the full billing lifecycle. Teams typically integrate separate tools for payments, invoicing, credit systems, and subscription management, making it one component in a larger billing stack rather than a complete billing platform.

Key features

• Real-time event metering for tracking AI Agent usage, API calls, and infrastructure consumption

• Open-source deployment with self-hosting or managed cloud options

• Product catalog with plans, subscriptions, and usage-based pricing models

• Flexible pricing models, including per-unit, tiered, and volume pricing

• Usage limits and entitlements for controlling AI Agent access or quotas

• Event ingestion APIs and SDKs for integrating metering into AI platforms

Pros

• Open-source usage metering platform with transparent infrastructure

• Strong real-time event tracking for AI Agents and API consumption

• Flexible pricing models built around usage events

• Entitlements and quotas are useful for controlling AI feature access

Cons

• Primarily focused on usage metering, not full billing infrastructure

• Requires external systems for payments, contracts, and revenue workflows

• Limited native support for advanced Agentic AI monetization models like outcome-based pricing

• Less built-in support for enterprise billing features like complex contract workflows

Pricing

OpenMeter pricing is not publicly listed. You can contact their sales team for more information 

Best suited for

• Developer teams building usage-based pricing who need a reliable way to track product consumption, such as API requests, tokens, or compute usage.

• AI, API, and DevTool companies that need event-based metering to convert product activity into measurable usage data.

• Teams that want an open-source metering layer they can self-host and integrate with their own billing stack.

• Companies that already use tools like Stripe or external billing systems and just need accurate usage tracking to sync with those platforms.

5. Orb

Orb is a usage-based billing platform built primarily for developer-first SaaS and infrastructure products that monetize through consumption. It focuses on ingesting product events such as API calls, compute usage, or storage metrics and converting them into billable charges in real time. Because of its event-driven architecture and flexible pricing models, Orb often appears when companies evaluate Schematic alternatives or other billing tools designed for modern usage-based pricing.

However, Orb operates as a fully managed SaaS platform with a closed-source architecture and no self-hosted option. Companies cannot run the billing engine inside their own infrastructure or extend it beyond the platform boundaries. For teams searching for an alternative to Schematic that provides deeper control over billing infrastructure, pricing experimentation, or deployment flexibility, this can become a limitation as products scale.

Key features

• Event-based usage metering: Ingests raw usage events such as API calls, compute jobs, or storage metrics and converts them into billable usage.

• Flexible pricing models: Supports tiered pricing, volume discounts, custom rate cards, and usage-based billing structures.

• Credit and balance management: Provides prepaid and postpaid credit systems with support for multiple pricing units and credit pools.

• Revenue simulations: Allows teams to test pricing changes against historical usage data before deploying new billing models.

Pros

• Strong enterprise billing capabilities: Supports customer hierarchies, shared credits, contract commitments, and extended payment terms.

• Advanced usage pricing infrastructure: Flexible charge models and real-time event processing for complex consumption billing.

• Robust credit systems: Supports multiple credit pools, custom pricing units, and parent-child credit sharing.

Cons

• Closed-source platform: No self-hosting option or ability to inspect and extend the billing engine.

• High starting price: Plans start around $720 per month, with advanced integrations requiring higher tiers.

• Limited payment gateway flexibility: Primarily built around Stripe, with limited native support for regional payment providers.

• No agent-native billing interface: Billing configuration must be done through the dashboard or APIs without MCP or agent workflow integration.

Pricing

Orb does not publicly list its pricing. If you want to know the cost, you need to contact the Orb sales team

Best suited for

Best suited for companies building usage-based SaaS or infrastructure products that want a managed billing platform with strong enterprise billing features and are comfortable operating inside the Stripe ecosystem while evaluating Schematic alternatives.

Why Flexprice is one of the best Schematic alternatives

As there are many Schematic alternatives available today, Flexprice is the ultimate alternative to Schematic. The reason is that Flexprice is designed as a complete enterprise billing infrastructure, whereas Schematic primarily focuses on feature entitlements and plan management layered on top of Stripe.

Here are some of the features that Flexprice provides, which make it a suitable alternative to Schematic.

Built for enterprise billing complexity

Flexprice is designed as a full enterprise billing infrastructure, not just an entitlement layer. While Schematic focuses on linking feature flags to subscription plans, Flexprice manages the full billing lifecycle for enterprise SaaS and AI companies.

Enterprise teams often need capabilities like:

• Contract-based pricing

• Hybrid pricing models

• Multi-level account structures

• Advanced credit systems

Flexprice supports these through a flexible pricing engine that combines subscriptions, usage-based billing, credits, and commitments in the same system.

For example, you can think of it as the platform that processes product usage events in real time, converts them into billable usage, and automatically applies pricing rules, credits, and commitments when generating invoices.

Parent-child account hierarchies are the one thing that many of these so-called modern billing platforms lack. Why is it important? Because it allows enterprise customers with multiple teams or departments to manage usage under one contract while maintaining separate usage visibility.

Flexprice operates as a standalone billing engine, which allows companies to run enterprise billing across multiple payment providers and regions without relying on a single gateway.

Open-source and self-hostable billing infrastructure

One of the reasons that companies evaluating Schematic alternatives choose Flexprice is its open-source billing architecture. Unlike other platforms where the billing engine is a black box, Flexprice allows teams to inspect, audit, and run the billing infrastructure themselves. This level of transparency reduces vendor risk.

• Licensed under AGPLv3 using an open-core model 

• The main GitHub repository has 3,500+ stars, 130+ forks, and 60+ contributors.

• The entire billing pipeline is auditable, allowing teams to inspect how usage metering, pricing, and invoicing work.

• Can be self-hosted on your own infrastructure, avoiding vendor lock-in common in proprietary billing tools.

• SOC 2 Type I compliant, which helps teams pass enterprise procurement and security reviews.

For companies that are building AI platforms, APIs, and SaaS products with hybrid pricing models, this architecture becomes especially important, which is why Flexprice is considered a strong alternative to Schematic for enterprise billing.

Multi-payment gateway support, not just Stripe

Another major reason companies explore Schematic alternatives is payment flexibility. Schematic’s billing functionality is tightly coupled with Stripe. Here, Flexprice takes a different approach by acting as a payment-provider-agnostic billing engine that allows companies to run enterprise billing and usage-based billing across multiple gateways.

• Integrates with Stripe and Razorpay, enabling companies to run billing across different payment providers.

• Billing infrastructure works independently from the payment processor, rather than being tied to one gateway.

• Allows companies to operate enterprise billing across multiple regions without relying on a single provider.

• Reduces the Stripe lock-in risk, which is common in many billing platforms.

• Makes it easier to support global payment infrastructure as companies expand.

Flexprice allows teams to run the billing engine independently and connect it to whichever payment provider fits their infrastructure.

Advanced credit wallets and prepaid billing models

Flexprice provides an advanced credit wallet infrastructure where usage is deducted from prepaid balances rather than billed purely at the end of the cycle.

• Supports prepaid credits, promotional credits, and recurring credit grants.

• Includes auto top-ups, credit expiration rules, and rollover logic.

• Allows credit consumption priority, for example, promotional credits burn before paid credits.

• Built to support credit-based billing and hybrid pricing models commonly used by AI products.

Flexprice’s wallet system provides that flexibility, making it more complete than Schematic’s basic credit burn model.

Real-time event ingestion for high-volume usage data

Flexprice is built to handle high-volume usage-based billing, which is critical for AI platforms, APIs, and infrastructure products that generate millions of usage events.

• Uses Kafka for event ingestion and ClickHouse for real-time aggregation.

• Processes millions of usage events per second with real-time updates to usage and billing data.

• Each event is validated, deduplicated, and priced within milliseconds.

• Ensures zero data loss and accurate billing even under peak event loads.

This architecture allows companies to process large usage streams and convert them into invoices without manual reconciliation. Building a similar usage metering pipeline from scratch typically takes 3-6 months of engineering work, but with Flexprice, it can be done within days

See how Flexprice helped Skoot to ship usage-based billing in less than 4 hours of dev time. From idea to production –Founder and CEO of Skoot, Akash Nawani

Built for modern AI pricing models

Teams experiment with usage-based billing, credits, hybrid plans, and outcome-based pricing as their product and infrastructure costs scale. This is where many companies start evaluating Schematic alternatives, because entitlement-focused tools struggle to support complex or changing monetization models.

• Supports token-based billing for LLM input and output usage.

• Enables per-model pricing so different AI models can have different rates.

• Tracks GPU minutes, compute usage, API calls, and other infrastructure metrics.

• Supports credit-based billing and prepaid usage models.

• Allows hybrid pricing models combining subscriptions with usage charges.

• Enables outcome-based billing, such as charging for completed workflows or successful tasks.

With Flexprice, teams can update pricing structures, adjust credit models, or introduce new usage metrics without rebuilding the billing system. This makes it easier to experiment with different AI pricing strategies while keeping usage-based billing and enterprise billing infrastructure stable.

Wrapping up

Schematic solves a very specific problem well: linking feature flags and entitlements with subscription plans. 

If your SaaS product runs on Stripe and your main goal is to control feature access based on billing state, Schematic can work as a lightweight layer between your product and your billing system.

Teams often need a full billing infrastructure that can meter product usage, apply pricing rules, manage credits, and generate invoices from real-time product activity.

That is where many teams start evaluating Schematic alternatives. Here’s a quick way to think about the main Schematic alternatives:

1. Flexprice

Best choice if you need a complete enterprise billing infrastructure. It combines real-time usage metering, advanced credit wallets, hybrid pricing models, and multi-payment gateway support in one system. Built for AI and modern SaaS products where pricing depends on tokens, APIs, compute usage, or credits.

2. Metronome 

A solid option for teams committed to the Stripe ecosystem that want scalable usage metering.

3. Lago

Good for developers who want a self-hosted open-source billing foundation for basic usage-based pricing.

4. OpenMeter

Primarily a usage metering layer, usually paired with other tools for payments and invoicing.

5. Orb 

A managed SaaS billing platform for companies that want enterprise usage-based billing without running their own infrastructure.

As AI and usage-based SaaS models grow, the winning billing stack is usually the one that lets you iterate on pricing without rebuilding infrastructure every time your product changes.