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Is Limitr right for you?

Limitr is usage and margin control for AI products. An open-source engine runs inside your app and decides every call, natively and in about a millisecond: what's allowed, what it's worth, and what it costs you. Then it meters, prices, and bills it. Your team changes prices, limits, and contracts live from Limitr Cloud.

Limitr is best for​

  • AI products where each call costs real money. Model tokens, agent runs, compute, or vendor APIs, where one customer can cost more than they pay. Limitr prices every call at your cost and your price, so margin per account is live, and stops the call that would break a budget before you pay for it.

  • Teams selling self-serve and through contracts. Card-paid plans and negotiated deals run from one policy, and a contract's terms are enforced in the product on the next call, not only on the invoice.

  • Products with agents. Agents, yours or your customers', are customers in Limitr, with their own plans, limits, and budgets per task, org, and call.

  • Free tiers and public APIs that attract abuse. Rate limits per user, caps per tier, and a global backstop, checked in your app before the model runs.

  • Teams that want to own the logic, like they wrote it. Pricing changes are as easy as a git commit. Limitr is built on Stof, so the policy carries your own pricing functions, rules, and cost formulas, any built-in rule can be overridden, and it molds to each customer's needs as you grow. The engine is open source (Apache 2.0), Limitr Cloud never takes a share of revenue, and if you leave, the policy keeps running.

  • Internal AI tools at larger companies. Departments, teams, and employees are customers in one policy: department A gets a bigger allowance than department B, every employee has a cap inside it, and IT or finance changes allowances live in Limitr Cloud, with usage by department for showback or chargeback. It governs what people can do in your own tools (features, agents, and actions, not just tokens per key).

  • Software you build for yourself, your coworkers, or friends. If your tool calls AI services on your key, Limitr puts a cap on each person, free and open source, in your app with no account. Ask your coding agent to add it; Limitr ships with skills for that.

It also fits usage-based SaaS without AI: seats, credits, API calls, and hybrid plans.

Limitr is not the best fit if​

  • Your core need is dunning, tax, and revenue recognition for subscriptions. Choose Chargebee or Stripe Billing. Limitr can collect through Stripe and sit next to either.
  • You invoice billions of events against enterprise contracts and nothing needs stopping in the product. Choose Metronome or Orb.
  • You only need release flags and experiments. Choose LaunchDarkly. Limitr's flags are for what a plan includes and what each use costs.
  • You only need one API in front of many model providers. Choose a router like OpenRouter or LiteLLM, and add Limitr when you need to bill your customers for that usage.
  • Your pricing will never change and usage costs you little. Build it yourself.
  • It's just you, on one provider. The provider's own budget and usage limits are enough. Add Limitr when other people use your tool and each needs their own cap, when you use several providers, or when you want to charge for it later.

The signs you need it​

  • You've found out a customer was unprofitable at the end of the month.
  • An agent loop or a leaked key ran up a bill before anyone noticed.
  • A custom deal lives in an if statement or a spreadsheet.
  • Changing a price means a ticket and a release.
  • Finance can't say which accounts, features, or models make money.

Next​

  • Limitr answers: how it fits with Stripe and quote-to-cash, how to integrate it, languages, latency, data, and pricing.
  • How do I…: the jobs teams use Limitr for, with the doc for each.
  • Every comparison: what happens with each tool when an agent runs away, a customer turns unprofitable, or sales signs a deal.
  • Quickstart or book a call to replay last month's usage through Limitr.
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