Monetize
Scale your revenue.Monetize usage.
Any pricing model, versioned and auditable. Define entitlements, limits, credits, and prices — Limitr meters and charges every call against it, per customer, per plan, live.
What changed?
Every feature you ship now carries a cost that moves. Pricing has to move with it.
Why teams monetize with Limitr
Ship any pricing model — flat, seat, usage, or all of them at once.
Most billing tools force a single model and make you rebuild when the market shifts. Limitr's policy is always hybrid and won't get in your way — flat fees, seats, usage meters, and credit pools live in the same document, combined however the plan actually needs.
See policy specMove at market and development speed.
Pricing and packaging live outside the codebase. A rate change, a new tier, a limit adjustment — versioned and published live the instant someone with permission makes it. No PR, no deploy, no release train to catch.
Every enterprise deal, without a special build.
Layer a custom rate, a bespoke limit, or a negotiated discount onto any customer or contract — with its own expiry and audit trail — without forking pricing logic or hardcoding a one-off exception.
Meter, price, and invoice — accurate to the moment.
Every call is accurately captured the instant it happens, not reconciled at month-end from logs and guesses. The customer invoice matches exactly what was metered, auditable and reportable in units that matter on both sides.
Get ahead of usage before you or your customer feel it.
Set thresholds once and the runtime watches continuously — a customer trending toward their cap, projected to cross a utilization target this week, whatever matters to your team. Alerts fire the moment it's crossed, in-app, configurable without waiting on engineering.
Policy, not code
Flat fees, seats, usage, credits — every pricing primitive lives in one open-source, versioned policy document, not scattered across code and spreadsheets. That's what makes any model possible: there's nothing to hardcode.
See the spec
Runtime, not a request
What only a runtime can do is hold state — enforcing one cap across an entire pipeline, every vendor call included, because the context never leaves your process.
Local state
One exchange, real ROI
The same exchange that meters usage also translates it into what the customer actually cares about — cost avoided, outcomes delivered, value earned. Their invoice maps to their ROI, so expansion conversations explain themselves.
Strategy to policy
Common pricing questions
Pricing & billing
Yes — that's the default, not a special configuration. A policy document can combine a flat platform fee, a per-seat charge, a metered usage rate, and a pooled credit balance in the same plan, applied to the same customer, at the same time.
Most billing tools treat these as separate products bolted together, which is why switching models usually means a migration. Limitr treats them as primitives inside one document — you're not choosing between flat and usage, you're deciding which primitives this specific plan needs, and changing that mix later doesn't require re-platforming.
Immediately, in the literal sense — a published change propagates to every connected service the moment it's saved, because the policy represents the runtime directly, not a config that gets deployed somewhere downstream.
There's no build step, no PR, no release window to wait for. The person changing the price and the person who set the deploy schedule for your application don't need to be the same team, or even know about each other's calendar.
A custom deal is an override layered on top of a base plan, not a fork of your pricing logic. You keep a small number of standard plans, then apply a different rate, limit, or discount to specific customer(s) or contract(s) — each override carries its own expiry and a record of who approved it.
Practically: sales negotiates a deal, someone with permission applies the override, and it's live for that account without a code change or a conversation with engineering. Nothing about the base plan changes for anyone else.
Literal. Every call is metered and priced against the ledger it belongs to in the same operation it happens in — not batched, not reconciled later from logs. The number on the invoice is the number the ledger recorded at the instant of consumption.
That matters most at the edges: usage right at a plan boundary, a burst right before a billing period closes, a customer who upgrades mid-cycle. Those are exactly the cases where systems that reconcile after the fact tend to drift from what actually happened — there's nothing to drift here, because there's no gap between metering and pricing to begin with.
Yes — thresholds are configured in the dashboard, not in code. You can set a rule against almost anything the runtime already tracks: a customer trending toward their cap, projected utilization over the next few days, a spend threshold crossed mid-period, a specific entitlement running low.
Who gets notified is also configurable per rule — an internal Slack channel, a customer success queue, the customer themselves. The common pattern is proactive account management: knowing a customer is about to hit a wall three days before they do, instead of finding out when support gets the ticket.