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OpenMeter

Open source · OSI-approvedStatus: unknownNewAcquired

Open-source usage metering and billing for AI and API products

Reviewed lifecycle notice

This Project is marked acquired. These are reviewed catalogue facts and are separate from repository archive, license-change, move, and security observations.

OpenMeter is an open-source usage-metering and billing platform for AI and API products that turns raw usage events into priced revenue. It ingests CloudEvents at real-time scale, aggregates them through meters, and converts the results into entitlements, balances, grants, usage-driven notifications, and Stripe-backed invoices, and suits engineering-led teams that want metering they can self-host and evolve without rebuilding it in-house.[1]

Quick verdict

Self-hosted usage metering and billing for AI/API teams AI and API teams moving to usage-based or hybrid pricing will get the most from OpenMeter, especially when metering data and billing logic must stay self-hosted. Its Go-based pipeline ingests CloudEvents in real time and turns them into meters with aggregation and filtering, entitlements with balances and grants, metered products billed through Stripe, and no-code billing workflows with usage notifications. The price of that control is engineering ownership: event-pipeline setup and Kafka/ClickHouse/Kubernetes self-hosting need developers, the README warns the codebase is not production-ready as shown, and Kong's 2025 acquisition means the roadmap now runs through Kong Konnect. If you can own metering as code under Apache-2.0 with Docker or Kubernetes, choose OpenMeter; if setup must stay developer-light, evaluate the published incumbent Lago first.[1][2]

Key features

  • CloudEvents usage-event ingestion: send usage as CloudEvents and collect and aggregate millions of events in real time with no pre-aggregation required before ingestion.[1][2]

  • Meters with aggregation, filtering, and grouping: define meters over event streams and slice usage into billable metrics for pricing and queries.[1][2]

  • Entitlements with balances and grants: gate features and access from metered usage, issue grants, and track balances against plans.[1][2]

  • Metered products with Stripe billing: turn rated usage into products and invoices collected through the Stripe billing integration.[1][2]

  • Usage queries over APIs and SDKs: answer how much a customer used with database queries, management APIs, and documented SDKs and examples.[1][2]

  • Usage-driven notifications: trigger balance, credit, and threshold notifications from live metered usage.[1][2]

  • No-code billing workflows: compose billing logic without code on top of the metered usage pipeline once events and meters are wired up.[1]

  • Self-hosted Apache-2.0 core or managed Cloud: run the Go, Kafka, and ClickHouse stack with Docker or Helm on Kubernetes, or pay only for usage on OpenMeter Cloud.[1][2]

Who will love it

  • AI and API teams billing on consumption will get the most from OpenMeter, because CloudEvents ingestion, meters, and Stripe-backed invoicing match token, call, and compute pricing directly.[1][2]

  • Teams that need self-hosted metering control fit well, because the Apache-2.0 codebase runs in their own Docker or Kubernetes environment with SOC 2 Type II attestation on the managed side.[1][2]

  • Developers owning pricing as code fit well, because events, meters, queries, and billing workflows are API- and SDK-driven.[1][2]

Who should avoid it

  • Teams without developers should avoid it alone, because API-first setup and Kafka/ClickHouse/Kubernetes self-hosting need engineering ownership.[1][2]

  • Buyers needing settled long-term pricing should wait, because Kong's acquisition keeps Cloud unchanged only until migration completes in mid-2026.[1][2]

  • Teams wanting a built-in payment processor or a no-code-only setup should look elsewhere, because collection flows through Stripe and the pipeline itself needs code.[1][2]

Alternatives and compatibility

Lago is the published catalogue incumbent; the choice turns on OpenMeter's CloudEvents, Kafka/ClickHouse metering scope versus Lago's prepaid-credit and multi-processor orchestration scope, with full incumbent comparison pending its own evidence.[1][2]

Portability facts: the open-source core is Apache-2.0 with 1700+ stars and 138 forks, Docker and Helm self-hosting are documented, and the same codebase also runs as managed Cloud.[1]

If you need self-hosted, event-metered billing with CloudEvents ingestion, entitlements, and Stripe-backed invoicing behind APIs, choose OpenMeter; if billing setup must stay developer-light, evaluate the incumbent first.[1][2]

Questions worth asking

What is the best OpenMeter alternative for non-technical users?

Teams without developers will struggle with OpenMeter alone, because events, meters, aggregation, and billing logic are configured through APIs and event pipelines. Evaluate the published catalogue incumbent Lago as the named candidate where a comparable open-source billing scope with the same self-hosting tradeoff is the goal.[1][2][3]

Is OpenMeter really no-code?

No for everyday setup: OpenMeter is API-first, so sending CloudEvents, defining meters, and operating entitlements and invoicing needs developer work with the API, SDKs, and Docker or Helm self-hosting. Non-technical staff can use the resulting no-code billing workflows and notifications once developers have wired up the pipeline.[1][2][3]

How much does OpenMeter cost per month?

The open-source codebase is free to self-host under Apache-2.0 with no licence fee; managed OpenMeter Cloud is usage-based pay-as-you-go with trial credits including $100, and Kong confirmed no pricing change until migration completes mid-2026. OpenMeter itself is not a payment processor, so Stripe processing fees apply separately. Prices checked October 12, 2026.[1][2][3]

Can you self-host OpenMeter?

Yes: self-host the same Apache-2.0 codebase with the Docker quickstart or a Helm chart on Kubernetes, or run the managed OpenMeter Cloud instead. The repository documents both paths and the README warns the as-shown codebase is not production-ready, so production self-hosting needs hardening.[1][2]

Sources and editorial review

Source research. Reviewed on October 12, 2026. Written by Sanjib Sah. AI assisted; reviewed by a human editor.

We have not run or tested this product.

  1. OpenMeter official site

    official · Observed October 12, 2026

    Official homepage: usage-based billing for AI/API companies, open-source metering, real-time event aggregation, Stripe billing, Cloud pay-only-for-usage with $100 trial credits, SOC 2 Type II.

  2. OpenMeter README (official repository)

    official · Observed October 12, 2026

    Official repository: open-source metering for AI/API/DevOps, Apache 2.0, 1700+ stars, 138 forks, 4300+ commits, 530+ PRs, 140+ releases, Go with Kafka and ClickHouse, Docker quickstart and Helm install, not-production-ready warning.

  3. OpenMeter docs

    official · Observed October 12, 2026

    Official docs: Docker quickstart, Kubernetes/Helm install, CloudEvents ingestion, meters, usage queries via APIs/SDKs, guides, metered products plus Stripe billing, entitlements, notifications.

  4. OpenMeter pricing

    official · Observed October 12, 2026

    Official pricing: open source free; Cloud usage-based pay-as-you-go from June 2025; credit programs.

  5. OpenMeter is Joining Kong (official blog)

    official · Observed October 12, 2026

    Official OpenMeter blog: joining Kong Inc.; Cloud continues with plans unchanged; repos stay open source; full team joins; Konnect integration early 2026, migration mid-2026.

Compared with these products

No explicit proprietary baseline is recorded.

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