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Compare · Entitlements and feature flags

Limitr vs Schematic.

Schematic checks entitlements, and in an opt-in mode evaluates flag and credit rules locally while usage is processed on its servers. Limitr runs the whole policy in your app: prices, costs, limits, contract terms, and the meters themselves.

The short answer
Schematic

Plans, entitlements, and credits for SaaS and AI, built around Stripe.

Limitr

Decides every call in your app, with prices, costs, limits, and contract terms, then bills it.

Side by side

What happens when…

The moments that decide it, answered from each product's own docs and pricing.

When…SchematicLimitr
An agent loop runs away at 2 a.m.Credit checks can run locally (opt-in), but usage is processed on its servers, so balances trail the calls.The call that would break the budget never runs. Task, customer, and org budgets are checked in your app first.
A customer costs more than they payWe found no per-customer cost or margin view.Margin per account is live, and a cap on what an account can cost you stops it before it turns unprofitable.
Sales signs a custom dealCustom plans and overrides. Billing with POs and commitments is in early access.Write it as a contract in Limitr Cloud. Its prices, limits, and terms are enforced in the product on the next call.
The service is unreachableBy default, a check is a REST call with a short cache.Nothing to reach. Decisions run in your process and keep working offline.
Open sourceNo.The engine and policy format, Apache 2.0.

Checked November 10, 2026. Sources: Schematic in your stack · schematic-node · Schematic billing. Something out of date? Tell us.

Architecture

Where the decision happens.

The difference most comparisons skip: where a call is allowed, priced, and capped, and when.

Schematic
Partly in your app

Flag and credit rules can be evaluated locally in an opt-in mode, while usage is processed on their servers and balances follow later.

Your applocal rule checks
rules only
Model or APIthe cost
balances lag
Their serversprocess usage
Limitr
Inside your app, before the call

The engine runs natively in your process and decides every call in about a millisecond: allowed, priced at your cost and your price, and held to the contract. Usage goes to Limitr Cloud in the background.

Your appLimitr engine inside
decided first
Model or APIthe cost
in the background
Limitr Cloudledger and invoices

The gap

What you'd still build on Schematic.

Teams pair Schematic with code of their own. With Limitr, that part is the product.

With Schematic, you still build
With Limitr, you get
Meters that update in your app, in the same step as the check
Budgets and limits checked in your app before the call
Cost per call and margin per account
Your cost and your price on every call, so margin per account is live
Prices and contract terms in the same rules as access
Contracts enforced in the product on the next call

Choose Schematic if you want a polished plan and entitlement manager on Stripe, and cost isn't in scope.

Switching

From Schematic to Limitr.

No migration day. Limitr runs next to what you have until the numbers match.

Map your Schematic plans and prices to a Limitr policy, line by line.
Run Limitr in observe mode next to Schematic and compare the numbers on real traffic.
Switch enforcement on. Customers come over as they appear, with no migration day.

Common questions

Limitr vs Schematic, answered.

What runs locally. Schematic's opt-in mode evaluates flag and credit rules; Limitr evaluates the whole policy (prices, costs, limits, contract terms, and a task's running spend) and meters in place.

Schematic checks entitlements, and in an opt-in mode evaluates flag and credit rules locally while usage is processed on its servers. Limitr runs the whole policy in your app: prices, costs, limits, contract terms, and the meters themselves. Choose Schematic if you want a polished plan and entitlement manager on Stripe, and cost isn't in scope.

Schematic: partly in your app. Flag and credit rules can be evaluated locally in an opt-in mode, while usage is processed on their servers and balances follow later. Limitr: inside your app, before the call. The engine runs natively in your process and decides every call in about a millisecond: allowed, priced at your cost and your price, and held to the contract. Usage goes to Limitr Cloud in the background.

Map your Schematic plans and prices to a Limitr policy, line by line. Run Limitr in observe mode next to Schematic and compare the numbers on real traffic. Switch enforcement on. Customers come over as they appear, with no migration day.

Limitr is built for them. An agent is a customer like any other, with its own plan, limits, and budget, linked to the workspace it works for. Budgets per task, customer, and org are checked in your app before each step runs, and the agent can see what it has left as a Claude tool.

See it on your own pricing.

npm i @formata/limitr