# OpenMeter

> Updated 2026-09-19 · type: tool · category: commerce-payments · status: active · rev 1

OpenMeter turns product and agent usage events into metered balances, access decisions and usage-based invoices on infrastructure you control.

- Open source: yes (Apache-2.0)
- Self-hostable: yes
- Pricing model: freemium
- Best for: Builders charging for AI, API or automated-agent work by tokens, tool calls, tasks or compute who need one source of truth for usage, limits, credits and invoicing.
- Last verified: 2026-09-19

- **Canonical:** https://gtmstacker.com/registry/tool/openmeter/
- **Source:** [github · openmeterio/openmeter](https://github.com/openmeterio/openmeter)
- **Tags:** commerce-payments, usage-metering, billing, entitlements, self-hostable
- **Repository:** https://github.com/openmeterio/openmeter

## Is OpenMeter open source?

Yes, OpenMeter is open source under the Apache-2.0 license.

## How much does OpenMeter cost?

OpenMeter has a free tier plus paid plans. The open-source version can be self-hosted with no license cost; you pay only for your own infrastructure.

## Can I self-host OpenMeter?

Yes, OpenMeter can be self-hosted (the source is available under the Apache-2.0 license).

## Alternatives & related

- [stripe-python](https://gtmstacker.com/registry/tool/stripe-python/)
- [Hyperswitch](https://gtmstacker.com/registry/tool/hyperswitch/)


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Apache-2.0 monetization infrastructure for AI, API and usage-based products. OpenMeter takes raw product or agent events, turns them into customer-level usage, applies entitlements and credit limits, models usage-based pricing, and carries charges into an invoice lifecycle. It can own that whole path or sit between your application and the payment, tax and accounting providers you already use.

## Provenance

- Apache-2.0, Go, Docker Compose quickstart, CloudEvents ingestion, meters, entitlements, credits, plans and invoice lifecycle independently verified from the repo on 2026-09-19 (github.com/openmeterio/openmeter, ~2.3k stars; v1.0.0-beta.233 released 2026-09-18).
- Surfaced in the 2026-09-19 viral-X pull through a post about metering agent actions, tokens, tool calls, tasks and compute.
- The claim that the metering engine has processed billions of events is the maker's production claim and was not independently audited here.

## Why it matters for a GTM stack

Per-seat billing fits people. Agents create a different unit problem: one run may make three tool calls and another may burn hours of compute. OpenMeter gives a product team the missing middle between those events and the bill, including the limits that stop an agent or customer from consuming beyond an allowance. That makes it a practical build-vs-buy option for AI products whose pricing is part of the product design. The honest cost is operational: the evaluation stack is easy, but production means running event and analytics infrastructure, and you still need payment, tax and accounting providers around it.