Metering.ai

What is Metering.ai?

Metering.ai is a tool developed by Togai to simplify Stripe Metered Billing for businesses by providing a no-code metering solution. It allows businesses to aggregate usage data and connect it to Stripe without coding expertise, enabling the transformation of product usage data into invoices with minimal effort and without the need for extensive engineering work. The tool aims to streamline the implementation of usage-based pricing models by eliminating manual work, reducing the risk of billing errors, and offering flexible pricing model experimentation opportunities.

Metering.ai is particularly beneficial for B2B SaaS companies facing challenges in converting usage data into invoices on various billing platforms like Stripe, Zuora, Chargebee, or Recurly. It targets individuals involved in product management, finance, or customer success roles within fast-growing SaaS companies who struggle with manual data aggregation processes and the complexities of managing pricing and billing workflows. The tool aims to simplify these processes, save time, and improve accuracy in billing practices.

Who created Metering.ai?

Metering.ai was created by Togai, with a key focus on simplifying Stripe Metered Billing for businesses by offering a no-code metering tool. The founder, Aravind Murthy, identified the challenges faced by SaaS companies in converting usage data into invoices efficiently. Metering.ai addresses this by providing a platform that aggregates data without coding requirements, enabling easy integration with billing systems such as Stripe, Zuora, Chargebee, or Recurly. This tool was developed to streamline billing processes and pricing strategies, particularly for companies adopting modern consumption-based pricing models.

What is Metering.ai used for?

• Count of API hits for a communications API company
• Percentage of total payment value for a fintech payments company
• Marketing automation product/customer data platform charging on monthly active users
• Cloud infrastructure pricing based on compute hour
• Applying conditions and filters via metering.ai
• Graduated pricing model (platform fee up to a certain usage limit and overages beyond that)
• Configuring different pricing models for basic and premium plans
• Automating billing workflows with Stripe integration
• Complex calculations made simple with a wide range of functions
• Saving time by automating manual billing processes
• Marketing automation product / customer data platform that charges based on monthly active users
• Cloud infrastructure company that prices based on compute hour
• Charges based on the number of monthly active users for a marketing automation product
• Charges based on total compute hours for a cloud infrastructure company
• Applying conditions and filters for generating invoices accurately on Stripe
• Implementation of a graduated pricing model for marketing automation products
• Configuring pricing models for different customer plans
• Automated aggregation of usage data for accurate invoicing
• Connecting product usage data to pricing and billing workflows
• Experimenting with and launching new pricing models based on usage data
• Processing payments and charging customers based on a percentage of the total payment value processed
• Charging based on the number of monthly active users
• Pricing based on compute hour usage
• Applying conditions and filters to generate accurate invoices on Stripe
• Converting raw usage data into Stripe invoices
• Automatically pushing information to Stripe
• Aggregating and transforming usage data into billable entities
• Solving billing system bottlenecks by changing/implementing pricing models
• Implementing usage-based pricing models
• Metering any type of raw usage data with zero engineering effort
• Convert raw usage data into Stripe invoices
• Apply any type of computation and transformation
• Automatically push information to Stripe
• Usage based billing workflows - on autopilot
• Aggregating usage data into digestible format for Stripe
• No more grunt work at billing cycle end
• No more billing disputes due to manual errors
• Save 1 day every month on data aggregation
• Hassle-free data aggregation
• Flexible pricing models based on usage data

Who is Metering.ai for?

• API companies
• Fintech payments companies
• Marketing automation products
• Cloud infrastructure companies
• API company
• Fintech company
• Marketing automation product / customer data platform
• Cloud infrastructure company
• Fintech companies processing payments
• Marketing automation products/Customer data platforms
• Product Managers
• Founders
• Finance Executives
• Customer Success Managers

How to use Metering.ai?

To use Metering.ai for streamlined SaaS billing, follow these steps:

1. Sign up for a Togai account.
2. Connect your product usage data to the Metering.ai platform.
3. Configure your desired pricing and billing workflows.
4. With just three clicks, transform your product usage data into Stripe invoices.

Metering.ai simplifies Stripe Metered Billing by providing a no-code platform that aggregates usage data effortlessly, eliminating the need for complex Excel calculations and reducing the risk of billing errors. This tool is designed for non-engineers, enabling product managers or founders to manage the system easily and efficiently. Metering.ai streamlines the process by applying transformations and aggregations to ensure accurate connection to the billing system, allowing businesses to experiment with and launch new pricing models based on usage data. As your business expands, Metering.ai scales with you, providing an efficient and accurate billing system for SaaS businesses.