OpenMeter

OpenMeter

An open-source platform that tracks how much customers actually use your product in real time, so you can bill them based on usage — API calls, AI tokens, storage — instead of guessing with flat-rate plans.

🔗 Visit OpenMeter
📁 Payments, Billing & Ops🗣️ English📅 July 28, 2026

Description

Charging a flat monthly fee is simple, but it stops making sense once your product's cost scales with usage — think AI API calls, storage, or compute. Undercharge heavy users and you lose money; overcharge light users and they leave. OpenMeter works like a utility meter for software: it counts what each customer actually consumes, in real time, so billing can match cost.

OpenMeter is an open-source real-time usage-metering platform built for SaaS and AI companies moving to consumption-based pricing. It ingests usage events continuously, aggregates them per customer, and lets teams change pricing/rating logic without redeploying code — a common pain point since usage-based pricing changes are usually a full engineering project. It integrates with Stripe and other billing systems to turn metered usage into actual invoices. Being open-source, it can also be self-hosted for teams that don't want usage data flowing through a third party. There's no public pricing; OpenMeter runs a free trial and quotes custom pricing for production usage, which makes upfront budgeting harder than SaaS with a published price page.

💬 Our review

The short version: if you're moving from flat-rate to usage-based pricing — the direction most AI and infrastructure SaaS are heading — OpenMeter solves the unglamorous but critical plumbing of counting usage accurately and turning it into invoices, without you building that system from scratch.

Usage-based billing is deceptively hard to get right: undercounting loses revenue, overcounting angers customers, and doing the rating logic in application code makes every pricing change a deploy. OpenMeter's real-time ingestion plus configurable rating rules addresses exactly that, and being open-source with self-hosting means AI companies wary of routing usage data through a third party have an out. The catch is pricing opacity — 'contact us' for a metering tool that's meant to save money on billing infrastructure is a bit of friction, and you won't know if it's cheaper than building a lightweight version yourself until you get a quote. Compared to Stripe's own usage-based billing (Stripe Billing meters), OpenMeter is more flexible and self-hostable but adds another moving part to your stack instead of staying inside Stripe's ecosystem.

💰 Pricing

Sur devisEssai gratuit, puis tarification de production sur devis
Trial GratuitProduction Sur devis

📊 Global score

53Average
🌐Availability15/100Faible

1 language · 0 platform

📄Profile90/100Excellent

Profile completeness

🤖 AI-enriched data

💰 Pricing model
💳 Sur devis

Essai gratuit disponible. Tarification de production sur devis, non publiée.

👥 Target audienceDéveloppeurs et équipes produit/RevOps de SaaS et entreprises d'IA passant à la facturation à l'usage
🗣️ Languagesen
🌍 Target countriesInternational
👍

Pros

Métrisation d'usage en temps réel, précise, sans redéploiement pour changer les règles de tarification

Open-source et self-hostable — les données d'usage restent internes si besoin

Intégration Stripe et autres systèmes de paiement

Pensé pour les besoins spécifiques des entreprises d'IA (usage de tokens, API)

👎

Cons

Pas de tarification publique — devis obligatoire pour évaluer le coût réel

Ajoute un composant supplémentaire dans la stack de facturation vs solution native Stripe

Bénéfice surtout net pour des volumes d'usage significatifs, moins pour un usage simple

❓ Frequently asked questions

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