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  "title": "OpenMeter",
  "description": "Apache-2.0 monetization infrastructure (Go) for AI, API and usage-based products. It ingests CloudEvents, attributes and aggregates usage, enforces entitlements and credit limits, models plans and dynamic prices, and runs the invoice lifecycle while leaving payment and tax processing to external providers. A Docker Compose quickstart runs locally; production uses OpenMeter API and workers with Kafka, ClickHouse and PostgreSQL. The current v1 releases are beta and can break between upgrades.",
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  "lead": "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,…",
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      "text": "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."
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      "text": "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.\n\n- 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).\n- Surfaced in the 2026-09-19 viral-X pull through a post about metering agent actions, tokens, tool calls, tasks and compute.\n- The claim that the metering engine has processed billions of events is the maker's production claim and was not independently audited here."
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      "text": "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.\n\nPer-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."
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