Many companies struggle with implementing and managing usage-based pricing models for their AI, API, and infrastructure offerings, leading to inaccurate billing, revenue leakage, and complex manual processes. Existing solutions often lack the flexibility to handle diverse event data and the real-time capabilities needed for accurate metering and limit enforcement. This complexity hinders product teams from quickly iterating on pricing strategies and offering customized deals.

OpenMeter provides a metering solution designed for developers and product teams to implement flexible usage-based billing. The platform collects and aggregates event data in real-time, enabling businesses to accurately track usage of AI tools, APIs, and infrastructure components. OpenMeter integrates with existing infrastructure and offers SDKs for popular programming languages, allowing developers to turn events, logs, and metrics into revenue streams. The solution also includes features for building real-time customer dashboards, tracking balances and credits, and enforcing usage limits to prevent overages.

Real-time event ingestion and aggregation for accurate usage tracking

SDKs for Node.js, Python, and Go to facilitate integration with existing applications

Flexible product catalog to support various pricing models, including plans, credits, and usage-based pricing

Low-latency limit enforcement for APIs and infrastructure to prevent overages

Real-time customer dashboards with embeddable components and React hooks

Collectors for popular AI tools, cloud infrastructure, and frameworks, such as Kubernetes, S3, and Langchain

Integration with CRM, tax, and payment providers, including Stripe

Open-source core available under the Apache 2.0 license for self-hosted deployments

OpenMeter targets developers, product teams, and revenue operations teams at AI, API, and infrastructure companies that require flexible and scalable usage-based billing solutions.