OpenMeter
Open-source, real-time usage metering and billing for AI and API companies, now shipped by Kong as Konnect Metering & Billing.
Pick OpenMeter if your problem is metering accuracy and entitlement enforcement at event-stream scale, not invoice design. It gets you real-time usage, quotas, and a product catalog you can change without a deploy — Trigger.dev's per-millisecond compute billing and Requestly's API-consumption-to-Stripe-invoice flow are both credible proof points. Kong's September 2025 acquisition answers the vendor-risk question the project used to raise, and the Apache 2.0 core remains a genuine exit hatch. Budget integration time regardless: tax, dunning, and revenue recognition are yours to solve, and teams on the deprecated Subject API need a refactor first.
Verified 4d ago · liveness 69/100 · cite: rightaichoice.com/tools/openmeter
- AI companies metering token usage per customer and billing on consumption
- API providers moving from flat-rate to usage-based pricing with entitlements
- Platform teams needing edge-level usage gating to cap free-tier and runaway costs
- Engineering-led orgs that want an Apache 2.0 metering core they can self-host
- Teams wanting a single vendor to own invoicing, tax, and revenue recognition end to end
- Finance-first buyers who prefer a full quote-to-cash suite over a metering layer
- Flat-rate subscription businesses with no usage component to track
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Skip OpenMeter if you want one vendor to own invoicing, tax, and revenue recognition end to end — this is a metering and entitlement layer, and the downstream accounting work stays with your team.
Self-hosting is free under Apache 2.0, but you pay for the event pipeline, storage, and platform engineering time to keep metering reliable at scale.
Two ways to buy: the Apache 2.0 self-hosted core at $0 in license cost (you pay the infrastructure and engineering), or Konnect Metering & Billing which starts free and moves to sales for larger plans. Compared to Metronome or a full Stripe Billing setup, you pay less in license and more in integration labor — the metering core is free, the tax and revenue recognition stack is not included at any tier.
In short
OpenMeter — Open-source, real-time usage metering and billing for AI and API companies, now shipped by Kong as Konnect Metering & Billing. Best for AI companies metering token usage per customer and billing on consumption, API providers moving from flat-rate to usage-based pricing with entitlements, Platform teams needing edge-level usage gating to cap free-tier and runaway costs. Free to use.
What's new in OpenMeter
Checked 4 days agoAcross the latest 5 updates: 5 news mentions.
What 230 Software Companies Say About Pricing in 2026
Survey of 230 software companies finds hybrid pricing at 37% heading to 47%, a median AI gross margin target of 50%, and outcome-based pricing expected to grow from 5% to 31%.
Your Rate Card Is an API Now
OpenMeter argues public pricing pages are disappearing as machine buyers need a pricing API rather than a price page.
Enforce Usage Limits Where the Usage Happens
OpenMeter argues usage-based billing platforms are downstream by design, leaving them unable to stop an overage before it happens — the case for edge-level limit enforcement.
Metering the Code You Did Not Write
Agent runs touch many providers, so OpenMeter argues metering has to move to the shared hop rather than any single API you own.
The Seat Did Not Die, It Changed Jobs
Seat-based pricing fell from 24% to 17% in a year and respondents expect it to reach 1% within three years, surviving as a budgeting wrapper.
What people actually say about OpenMeter — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
5 mentions across 2 sources (Hacker News, GitHub) · researched Jul 3, 2026.
Average across the 2 sources that answered — each source counts once, not each post.
- +Real-time usage metering with low-latency enforcement for API calls.
- +No-code product catalog enables rapid pricing iteration without devs.
- +Open-source core allows self-hosting for full data control.
- +Native Stripe integration simplifies billing and invoicing workflows.
- +Pre-built collectors for LangChain, Kubernetes, and OpenTelemetry.
- −High number of open GitHub issues (124) raises stability concerns.
- −Community support is quiet; slow responses on critical issues.
- −Advanced pricing customization may still require developer effort.
- −Acquisition by Kong creates uncertainty about open-source future.
- −Documentation gaps for complex use cases like outcome-based pricing.
- • Self-hosting requires operational costs for infrastructure and maintenance.
- • Cloud Pro pricing is not publicly listed; may scale steeply with volume.
Viability Score
How well maintained and how widely used is OpenMeter? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Real-time usage metering from events, logs, and metrics
- Low-latency usage limit enforcement with edge-level usage gating
- Meters millions of events per second
- No-code product catalog for pricing changes in minutes
- Plans, credits, usage-based pricing, and commitments
- Automatic volume discounts in usage-based pricing
- Token metering for AI models (e.g. gpt-4 token counts)
- Entitlements, quotas, and usage notifications
- Stripe integration for automated usage invoicing
- CRM integration surfacing usage and expansion insights
- SDKs for TypeScript, Python, Go, and cURL
- Collectors for LangChain, Kubernetes, and OpenTelemetry
- Customers API separating usage owners from billing entities
- Customer self-service usage dashboards powered by the API
- Open-source Apache 2.0 self-hosting option
About OpenMeter
OpenMeter ingests your events, logs, and metrics — token counts, API calls, serverless invocations, per-millisecond compute — and turns them into low-latency aggregated usage you can query, gate on, and invoice against. The core pieces are real-time metering with usage limits, a no-code product catalog covering plans, credits, commitments, and usage-based pricing, and a billing layer that syncs metered usage to Stripe. Entitlements, quotas, notifications, and edge-level usage gating let you police free tiers and stop runaway spend before it hits your margin. Integration is developer-first: SDKs for TypeScript, Python, Go, and cURL, plus collectors for LangChain, Kubernetes, and OpenTelemetry. It joined Kong in September 2025 and the hosted product now ships as Konnect Metering & Billing — same team, same product — while the project continues on GitHub under Apache 2.0 if you would rather self-host. A recent API change separates usage owners (subjects) from billing entities (customers), and the Subject API is deprecated in favor of customers. Be clear-eyed about scope: this is the metering and entitlement layer, not the whole billing stack, so tax, dunning, and revenue recognition are still yours to wire up. Compared to Metronome or Stripe Billing, OpenMeter leans harder toward engineering control and an open-source escape hatch.
Behind the Verdict
OpenMeter solves a narrow problem unusually well: turning a firehose of usage events into numbers you can bill and limits you can enforce. If you bill on tokens, API calls, or compute milliseconds, that problem is existential and most billing suites handle it badly. Strengths. The metering engine is built on event-streaming techniques rather than a nightly batch aggregation job, which is what makes real-time usage dashboards and low-latency limit enforcement possible. The no-code product catalog is the sleeper feature: plans, credits, commitments, and automatic volume discounts change in minutes instead of a deploy cycle, which matters when your pricing is still being figured out. Entitlements and quotas are first-class, so a free tier doesn't quietly become free compute. The developer surface is broad — TypeScript, Python, Go, cURL SDKs plus LangChain, Kubernetes, and OpenTelemetry collectors. And the Apache 2.0 core means you can run the metering engine yourself rather than bet your billing ledger on a startup's continued existence. Weaknesses. This is a metering and entitlement layer, not a billing stack. Tax, dunning, revenue recognition, and the general accounting mess around consumption revenue are still your integration work. That is by design, but it is real cost. The Subject-to-Customer API migration means anyone who built early has refactoring to do. And Kong ownership changes the calculus in both directions: more stability, less of the scrappy responsiveness the project had as a standalone company. Where it fits. Engineering-led AI and API companies with a consumption component — token billing, per-call pricing, GPU compute — who want control and an escape hatch. Platform teams that need edge-level gating to cap runaway usage. Revenue ops teams that want usage signals surfaced in the CRM. Where it doesn't. Flat-rate subscription businesses. Finance-first buyers who want one vendor to own quote-to-cash. Companies without the platform engineering capacity to run event pipelines and collectors. And anyone wanting invoicing, tax, and revenue recognition bundled into the same contract.
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Real-world workflow fit
Concrete scenarios for the personas OpenMeter actually fits — and what changes day-one when you adopt it.
Push OpenAI token events per customer into the OpenMeter TypeScript SDK, create a token-usage meter, then sync aggregated usage to Stripe so each customer gets an invoice for their consumption.
Outcome: Consumption billing runs without a manual reconciliation spreadsheet, and you can see which customers are growing before the invoice lands.
Define entitlements and quotas for the free plan, then enforce limits at the edge so a customer cannot exceed the cap before the usage is recorded, with notifications firing as they approach it.
Outcome: Free-tier abuse stops costing money instead of showing up as an overage after the fact.
Sync metered usage into the CRM so account teams see which customers are consuming more than their plan covers and which are trending toward a larger commitment.
Outcome: Sales works expansion conversations from usage data rather than guesswork.
Use Cases
- Track OpenAI token usage per user and generate invoices based on consumption
- Enforce rate limits on API endpoints using real-time metering and entitlements
- Automate billing for GPU compute usage in Kubernetes clusters
- Create self-service usage dashboards so customers can monitor their spend
- Implement an add-on cross-sell system for SaaS plans with no code changes
- Sync metered usage data to Stripe for subscription invoicing
- Enforce usage limits where the usage happens rather than after the fact
- Replay a candidate rate card against real usage before shipping a price change
Limitations
- OpenMeter is a usage metering and entitlement layer, not a complete billing stack — tax, dunning, and revenue recognition remain your integration work.
- It joined Kong Inc. in September 2025 and the managed product is now sold as Konnect Metering & Billing on the Kong Konnect platform, while the project continues under Apache 2.0.
- Deployment options include self-hosting or the managed service.
- The API change that separates usage owners (subjects) from billing entities (customers) means the Subject API is deprecated, so older integrations need a refactor.
- Metering depends on you running event pipelines and collectors, which assumes platform engineering capacity.
- OpenMeter is not an AI model provider, so no underlying AI models are applicable here.
as of 2026-10-07
Verification history
We have re-verified OpenMeter 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published OpenMeter tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Open Source (Self-Hosted)
$0
Ideal for
Engineering-led teams with platform capacity who want to own the metering core and avoid vendor lock-in on their billing data.
What this tier adds
Starting tier: Apache 2.0 license from GitHub, self-deployed, with SDKs, collectors, SOC 2 compliant deployment options, and Stripe usage sync.
Konnect Metering & Billing (Cloud)
Free to start
Ideal for
AI and API companies that want real-time metering without running the event pipeline themselves, starting small before committing to a larger contract.
What this tier adds
Fully managed real-time metering plus a no-code product catalog for rapid pricing iterations; starts free, then contact sales for larger plans.
Where the pricing makes sense
The company stage and team size where OpenMeter's pricing actually pencils out — and where peers do it cheaper.
Two ways to buy: the Apache 2.0 self-hosted core at $0 in license cost (you pay the infrastructure and engineering), or Konnect Metering & Billing which starts free and moves to sales for larger plans. Compared to Metronome or a full Stripe Billing setup, you pay less in license and more in integration labor — the metering core is free, the tax and revenue recognition stack is not included at any tier.
Setup time & first value
How long it actually takes to get something useful out of OpenMeter — broken out by persona, not the marketing-page minute.
Quickstart is roughly 5 minutes to send a first event with an SDK. A workable token or API-call meter with a dashboard is a day or two. Full usage-based billing — meters, product catalog, entitlements, Stripe sync, and limit enforcement in production — is a multi-week integration for most teams, longer if you are migrating off the deprecated Subject API.
Switching to or from OpenMeter
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Stripe Billing alone: add OpenMeter to meter the usage component, then sync aggregated usage back to Stripe for invoicing.
- →From self-hosted OpenMeter: move to Konnect Metering & Billing managed service, same product and team.
- →From the deprecated Subject API: migrate usage owners to the Customers API to separate subjects from billing entities.
- →From homegrown usage counters: replace the in-house aggregation service with meters and entitements tied to a product catalog.
- →From flat-rate plans: introduce a usage-based plan in the catalog alongside the existing subscription.
- ↗To Metronome: move metering and billing together if you want a vendor to own more of the monetization stack.
- ↗To Stripe Billing standalone: keep flat or simple tiered subscriptions and drop the separate metering layer if usage gating is no longer needed.
- ↗To Apache 2.0 self-hosting: run the OpenMeter engine on your own infrastructure if managed hosting is no longer required.
Integrations
Resources & Guides
- Documentationopenmeter.io
Docs · OpenMeter
Full product docs from openmeter.io
- Documentationopenmeter.io
Collectors · OpenMeter
Full product docs from openmeter.io
- API Referenceopenmeter.io
Api · OpenMeter
Methods, params, types from openmeter.io
- Resourceopenmeter.io
Security · OpenMeter
Helpful link from openmeter.io
Tutorials & Learning
YouTube returned 6 videos for “OpenMeter”, and we withheld 6: 6 could not be judged, because “OpenMeter” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about OpenMeter.
Official links
Featured Head-to-Head Comparisons
Openmeter vs Spider Cloud
OpenMeter and Spider Cloud serve entirely different needs — one is a usage metering and billing platform, the other is a web scraping API for AI agents. Choose OpenMeter if you need to monetize AI/API usage with real-time metering and Stripe integration; choose Spider Cloud if you need fast, reliable web data extraction for RAG pipelines or LLM tools at low cost. They are complementary rather than competitive.
Openmeter vs Temporal Ai
Temporal AI and OpenMeter solve different problems. Choose Temporal if you need durable, fault-tolerant orchestration for AI agents and workflows. Choose OpenMeter if you need real-time usage metering and billing for AI/API products. They are complementary, not substitutes.
Openmeter vs Voyage Ai
Voyage AI and OpenMeter serve entirely different needs. Choose Voyage AI if you need high-accuracy, domain-specific embeddings for RAG pipelines, especially for finance or legal documents. Choose OpenMeter if you need to meter and bill AI/API usage in real time. They are complementary: a Voyage AI customer might use OpenMeter to bill for their API, but the tools are not competitive.
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