Limitr compared
How Limitr compares with the tools teams evaluate next to it: what actually happens in the moments that decide it, what you'd still build on each tool, and when to choose it instead. Every vendor claim was checked on November 10, 2026 against the vendor's own docs and pricing first, then reputable press; sources are listed under each comparison. "We found no" means we looked and didn't find it, not that it doesn't exist. Each comparison also has its own page at https://limitr.dev/compare.
Limitr in one line: an open-source engine that runs inside your app and decides every call (what is allowed, what it is worth, and what it costs you), managed from Limitr Cloud, which keeps the ledger and sends invoices. Priced on the customers and calls it governs, never on a share of your revenue.
Billing platforms
Limitr vs Stripe Billing
Subscriptions and invoicing on Stripe, with advanced usage billing sold as Metronome. Stripe Billing invoices what already happened. Limitr decides each call before it runs, prices it at your cost and your price, and hands Stripe the invoice to collect.
| What happens when… | Stripe Billing | Limitr |
|---|---|---|
| An agent loop runs away at 2 a.m. | Usage is metered for the invoice, and your app acts on alerts. The calls already ran. | 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 pay | Bills what you charge. Your cost isn't in it, so the loss shows up in your own books. | 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 deal | Negotiated contracts and commits are sold separately, as Metronome. | Write it as a contract in Limitr Cloud. Its prices, limits, and terms are enforced in the product on the next call. |
| You change a price | New prices and migrations in the Dashboard or API. We found no way to replay a change first. | Replay the change on real usage, with revenue and cost, then publish. Live on the next call. |
| How it’s priced | 0.7% of billing volume, pay as you go. Advanced usage billing is priced separately. | Free to build. $49 a month plus usage when live. Never a share of your revenue. |
What you'd still build on Stripe Billing: Checks that stop a call before it spends (with Limitr: budgets and limits checked in your app before the call); Cost per call and margin per account (with Limitr: your cost and your price on every call, so margin per account is live); Contract terms enforced in the product (with Limitr: contracts enforced in the product on the next call).
When to choose Stripe Billing: Choose Stripe Billing alone if you sell simple subscriptions and usage costs you little.
Using both: Keep Stripe for payments. Limitr keeps the ledger and makes the invoices. Stripe collects them.
Does Limitr replace Stripe? Not the payments. Limitr decides, meters, and invoices usage; Stripe can still collect the money. You can also bill manually.
Why not just use Stripe meters? Meters count usage for the invoice. Limitr decides each call before it runs, with the customer's plan, contract, and your cost in view.
Is Limitr a good alternative to Stripe Billing? Stripe Billing invoices what already happened. Limitr decides each call before it runs, prices it at your cost and your price, and hands Stripe the invoice to collect. Choose Stripe Billing alone if you sell simple subscriptions and usage costs you little.
Where does Stripe Billing make its decisions, compared with Limitr? Stripe Billing: after the call. Usage is recorded and billed after it happens. Your app acts on alerts and webhooks, once the calls have already run. 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.
How do I switch from Stripe Billing to Limitr? Keep Stripe to collect payments. Limitr keeps the ledger and sends invoices through it. Run Limitr in observe mode next to Stripe Billing and compare the numbers on real traffic. Switch enforcement on. Customers come over as they appear, with no migration day.
How is Stripe Billing priced compared with Limitr? Stripe Billing: 0.7% of billing volume, pay as you go. Advanced usage billing is priced separately. Limitr: Free to build. $49 a month plus usage when live. Never a share of your revenue.
Which is better for AI agents, Stripe Billing or Limitr? 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.
Full comparison: Limitr vs Stripe Billing. Sources: Stripe Billing pricing, Stripe: Metronome and Billing, Stripe token billing.
Limitr vs Metronome
Usage-based billing at very high volume, a Stripe product since January 2026. Metronome invoices usage at enormous scale, after it happens. Limitr decides it as it happens: the call that would break a budget or a contract never runs.
| What happens when… | Metronome | Limitr |
|---|---|---|
| An agent loop runs away at 2 a.m. | Alerts are checked every few minutes and sent as webhooks. Your app acts after the calls ran. | 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 pay | Bills revenue. We 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 deal | Deep: commits, credits, drawdown, and contract edits, applied to the invoice. | Write it as a contract in Limitr Cloud. Its prices, limits, and terms are enforced in the product on the next call. |
| You change a price | Rate cards and contract edits, with forecasting. | Replay the change on real usage, with revenue and cost, then publish. Live on the next call. |
| How it’s priced | Custom plans, sold through Stripe. | Free to build. $49 a month plus usage when live. Never a share of your revenue. |
What you'd still build on Metronome: Enforcement in your app, ahead of any webhook (with Limitr: budgets and limits checked in your app before the call); Cost per call and margin per account (with Limitr: your cost and your price on every call, so margin per account is live); A price-change replay with your costs in it (with Limitr: replays of a price change with revenue and cost).
When to choose Metronome: Choose Metronome if invoicing billions of events against enterprise contracts is the core problem.
Is Metronome part of Stripe? Yes. Stripe completed its acquisition of Metronome on January 14, 2026, and now sells advanced usage-based billing as Metronome.
Which should an AI company choose? If the problem is invoicing billions of events against enterprise contracts, Metronome is built for it. If you need each call allowed, priced, and capped in your app with margin in view, that is Limitr.
Is Limitr a good alternative to Metronome? Metronome invoices usage at enormous scale, after it happens. Limitr decides it as it happens: the call that would break a budget or a contract never runs. Choose Metronome if invoicing billions of events against enterprise contracts is the core problem.
Where does Metronome make its decisions, compared with Limitr? Metronome: after the call. Usage is recorded and billed after it happens. Your app acts on alerts and webhooks, once the calls have already run. 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.
How do I switch from Metronome to Limitr? Map your Metronome plans and prices to a Limitr policy, line by line. Run Limitr in observe mode next to Metronome and compare the numbers on real traffic. Switch enforcement on. Customers come over as they appear, with no migration day.
How is Metronome priced compared with Limitr? Metronome: Custom plans, sold through Stripe. Limitr: Free to build. $49 a month plus usage when live. Never a share of your revenue.
Which is better for AI agents, Metronome or Limitr? 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.
Full comparison: Limitr vs Metronome. Sources: Stripe completes Metronome acquisition, Metronome alerts, Stripe Billing pricing.
Limitr vs Orb
Enterprise usage billing and revenue reporting, part of Adyen since July 2026. Orb re-rates usage after it happens. Limitr decides it before: within budget, within contract, and at a margin you can see.
| What happens when… | Orb | Limitr |
|---|---|---|
| An agent loop runs away at 2 a.m. | Alerts and webhooks. Your app enforces, after the fact. | 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 pay | Reports revenue. We 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 deal | Deep amendments, shared credits, and commits, with AI contract ingest, applied at billing. | Write it as a contract in Limitr Cloud. Its prices, limits, and terms are enforced in the product on the next call. |
| You change a price | Simulations replay past usage under new prices, for revenue only. | Replay the change on real usage, with revenue and cost, then publish. Live on the next call. |
| How it’s priced | Custom pricing on billings and events. | Free to build. $49 a month plus usage when live. Never a share of your revenue. |
What you'd still build on Orb: Enforcement in the product, before the call (with Limitr: budgets and limits checked in your app before the call); Cost and margin per account (with Limitr: your cost and your price on every call, so margin per account is live); Simulations that include your costs (with Limitr: replays of a price change with revenue and cost).
When to choose Orb: Choose Orb if re-rating and invoicing complex, high-volume contracts is the core problem.
Is Orb part of Adyen? Yes. Adyen completed its acquisition of Orb on July 1, 2026. Orb continues as a stand-alone product.
Can Orb enforce limits? Orb sends alerts and webhooks, and your app does the enforcing. Limitr makes that decision in your app on every call.
Is Limitr a good alternative to Orb? Orb re-rates usage after it happens. Limitr decides it before: within budget, within contract, and at a margin you can see. Choose Orb if re-rating and invoicing complex, high-volume contracts is the core problem.
Where does Orb make its decisions, compared with Limitr? Orb: after the call. Usage is recorded and billed after it happens. Your app acts on alerts and webhooks, once the calls have already run. 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.
How do I switch from Orb to Limitr? Map your Orb plans and prices to a Limitr policy, line by line. Run Limitr in observe mode next to Orb and compare the numbers on real traffic. Switch enforcement on. Customers come over as they appear, with no migration day.
How is Orb priced compared with Limitr? Orb: Custom pricing on billings and events. Limitr: Free to build. $49 a month plus usage when live. Never a share of your revenue.
Which is better for AI agents, Orb or Limitr? 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.
Full comparison: Limitr vs Orb. Sources: Adyen closes Orb acquisition, Orb simulations, Orb docs overview.
Limitr vs Chargebee
Subscription billing, CPQ, and revenue recognition for finance teams. Chargebee runs the subscription and finance side of billing. Limitr runs what happens in your product: every call allowed, priced at your cost, and held to the customer's contract.
| What happens when… | Chargebee | Limitr |
|---|---|---|
| An agent loop runs away at 2 a.m. | Credits can be held through a remote authorize call. Everything else waits for the invoice. | 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 pay | Bills revenue. We found no per-customer cost 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 deal | CPQ with ramps and commit tiers, applied to billing. | 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 unreachable | The authorize call is a network request. Your app decides what happens when it fails. | Nothing to reach. Decisions run in your process and keep working offline. |
| How it’s priced | A share of billing volume. Plans were repackaged in 2026; check chargebee.com. | Free to build. $49 a month plus usage when live. Never a share of your revenue. |
What you'd still build on Chargebee: Usage decisions in the product, on every call (with Limitr: budgets and limits checked in your app before the call); Cost per call and margin per account (with Limitr: your cost and your price on every call, so margin per account is live); Fallback logic for when the remote check fails (with Limitr: decisions in your process, with nothing to fail open).
When to choose Chargebee: Choose Chargebee if dunning, tax, and revenue recognition are the core problem.
Can Chargebee and Limitr work together? They cover different layers: Chargebee for subscriptions and finance workflows, Limitr for deciding and pricing usage in the product.
Does Limitr do revenue recognition? Limitr Cloud handles contracts with renewals, fees, and commitments, and revenue recognition for them, on the plans for custom deals.
Is Limitr a good alternative to Chargebee? Chargebee runs the subscription and finance side of billing. Limitr runs what happens in your product: every call allowed, priced at your cost, and held to the customer's contract. Choose Chargebee if dunning, tax, and revenue recognition are the core problem.
Where does Chargebee make its decisions, compared with Limitr? Chargebee: a call to their service. Your app asks their API before acting, over the network, and decides what to do when that call fails. 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.
How do I switch from Chargebee to Limitr? Keep Chargebee for subscriptions and dunning if you like; Limitr works alongside it. Run Limitr in observe mode next to Chargebee and compare the numbers on real traffic. Switch enforcement on. Customers come over as they appear, with no migration day.
How is Chargebee priced compared with Limitr? Chargebee: A share of billing volume. Plans were repackaged in 2026; check chargebee.com. Limitr: Free to build. $49 a month plus usage when live. Never a share of your revenue.
Which is better for AI agents, Chargebee or Limitr? 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.
Full comparison: Limitr vs Chargebee. Sources: Chargebee ledger operations API, Chargebee pricing.
Limitr vs Zuora
Enterprise monetization: billing, CPQ, and revenue for large companies. Zuora runs order-to-revenue for large enterprises, and leaves enforcement to other systems. Limitr enforces in the product itself, call by call, priced against your cost.
| What happens when… | Zuora | Limitr |
|---|---|---|
| An agent loop runs away at 2 a.m. | Entitlements are enforced by outside systems you connect. | 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 pay | Costs are an input to its pricing simulator, not to each call. | 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 deal | The deepest contract model in the category, from CPQ to ASC 606. | Write it as a contract in Limitr Cloud. Its prices, limits, and terms are enforced in the product on the next call. |
| You change a price | An AI Pricing Simulator shows billing, revenue, and margin effects. | Replay the change on real usage, with revenue and cost, then publish. Live on the next call. |
| How it’s priced | Enterprise contracts. | Free to build. $49 a month plus usage when live. Never a share of your revenue. |
What you'd still build on Zuora: The enforcement system Zuora points to (with Limitr: budgets and limits checked in your app before the call); Cost on every call, not only in simulations (with Limitr: your cost and your price on every call, so margin per account is live); A way to start without an enterprise rollout (with Limitr: free to start, with no enterprise rollout).
When to choose Zuora: Choose Zuora if you're a large enterprise whose core problem is order-to-revenue and audit.
Is Limitr a Zuora replacement? For companies whose hard problem is usage in the product, often. For a public company whose hard problem is revenue recognition across many entities, Zuora is built for that.
Is Limitr a good alternative to Zuora? Zuora runs order-to-revenue for large enterprises, and leaves enforcement to other systems. Limitr enforces in the product itself, call by call, priced against your cost. Choose Zuora if you're a large enterprise whose core problem is order-to-revenue and audit.
Where does Zuora make its decisions, compared with Limitr? Zuora: an outside system you connect. Entitlements are defined in the platform and enforced by another system you wire up. 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.
How do I switch from Zuora to Limitr? Map your Zuora plans and prices to a Limitr policy, line by line. Run Limitr in observe mode next to Zuora and compare the numbers on real traffic. Switch enforcement on. Customers come over as they appear, with no migration day.
How is Zuora priced compared with Limitr? Zuora: Enterprise contracts. Limitr: Free to build. $49 a month plus usage when live. Never a share of your revenue.
Which is better for AI agents, Zuora or Limitr? 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.
Full comparison: Limitr vs Zuora. Sources: Zuora entitlements, Zuora AI Monetization Suite.
Limitr vs m3ter
Usage-based pricing and billing for B2B, part of Salesforce since July 2026. m3ter prices and bills B2B usage inside Salesforce, after it happens. Limitr decides each call first, with your cost and the contract terms in view.
| What happens when… | m3ter | Limitr |
|---|---|---|
| An agent loop runs away at 2 a.m. | Notifications and events. Your app enforces. | 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 pay | We 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 deal | Commitments, prepayments, and account hierarchies, with Salesforce and NetSuite. | Write it as a contract in Limitr Cloud. Its prices, limits, and terms are enforced in the product on the next call. |
| How it’s priced | Contact sales. | Free to build. $49 a month plus usage when live. Never a share of your revenue. |
What you'd still build on m3ter: Enforcement in the product (with Limitr: budgets and limits checked in your app before the call); Cost per call and margin per account (with Limitr: your cost and your price on every call, so margin per account is live); Contract terms the product actually obeys (with Limitr: contracts enforced in the product on the next call).
When to choose m3ter: Choose m3ter if Salesforce is the center of your revenue process.
Is m3ter part of Salesforce? Yes. Salesforce completed its acquisition of m3ter on July 1, 2026, and is bringing it into Agentforce Revenue Management.
Is Limitr a good alternative to m3ter? m3ter prices and bills B2B usage inside Salesforce, after it happens. Limitr decides each call first, with your cost and the contract terms in view. Choose m3ter if Salesforce is the center of your revenue process.
Where does m3ter make its decisions, compared with Limitr? m3ter: after the call. Usage is recorded and billed after it happens. Your app acts on alerts and webhooks, once the calls have already run. 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.
How do I switch from m3ter to Limitr? Map your m3ter plans and prices to a Limitr policy, line by line. Run Limitr in observe mode next to m3ter and compare the numbers on real traffic. Switch enforcement on. Customers come over as they appear, with no migration day.
How is m3ter priced compared with Limitr? m3ter: Contact sales. Limitr: Free to build. $49 a month plus usage when live. Never a share of your revenue.
Which is better for AI agents, m3ter or Limitr? 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.
Full comparison: Limitr vs m3ter. Sources: Salesforce to acquire m3ter, m3ter notifications.
Limitr vs Recurly
Subscription management and recurring billing, with payments and dunning. Recurly bills subscriptions and recovers failed payments, at the end of the cycle. Limitr decides what each customer may use on every call, and what it costs you.
| What happens when… | Recurly | Limitr |
|---|---|---|
| An agent loop runs away at 2 a.m. | Usage is charged at the end of the billing cycle. Stopping calls is up to your app. | 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 pay | Bills revenue. We found no per-customer cost 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 deal | Plans, add-ons, ramps, and coupons. | Write it as a contract in Limitr Cloud. Its prices, limits, and terms are enforced in the product on the next call. |
| How it’s priced | A monthly fee plus a share of billing volume. | Free to build. $49 a month plus usage when live. Never a share of your revenue. |
What you'd still build on Recurly: Usage limits in the product (with Limitr: budgets and limits checked in your app before the call); Cost per call and margin per account (with Limitr: your cost and your price on every call, so margin per account is live); Per-customer terms beyond plans and coupons (with Limitr: contracts enforced in the product on the next call).
When to choose Recurly: Choose Recurly if recovering failed subscription payments is the core problem.
Does Recurly support usage-based billing? Yes, as usage add-ons charged at the end of each billing cycle. Limitr decides and prices each use as it happens.
Is Limitr a good alternative to Recurly? Recurly bills subscriptions and recovers failed payments, at the end of the cycle. Limitr decides what each customer may use on every call, and what it costs you. Choose Recurly if recovering failed subscription payments is the core problem.
Where does Recurly make its decisions, compared with Limitr? Recurly: after the call. Usage is recorded and billed after it happens. Your app acts on alerts and webhooks, once the calls have already run. 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.
How do I switch from Recurly to Limitr? Map your Recurly plans and prices to a Limitr policy, line by line. Run Limitr in observe mode next to Recurly and compare the numbers on real traffic. Switch enforcement on. Customers come over as they appear, with no migration day.
How is Recurly priced compared with Limitr? Recurly: A monthly fee plus a share of billing volume. Limitr: Free to build. $49 a month plus usage when live. Never a share of your revenue.
Which is better for AI agents, Recurly or Limitr? 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.
Full comparison: Limitr vs Recurly. Sources: Recurly usage-based billing, Recurly pricing (ERPResearch).
Limitr vs Lago
Open-source metering and usage-based billing (AGPLv3). Lago is open-source billing: it meters what happened and invoices it. Limitr is an open-source engine that decides each call in your app before it happens, then bills it.
| What happens when… | Lago | Limitr |
|---|---|---|
| An agent loop runs away at 2 a.m. | Metered for billing, with budget alerts. We found no way to stop the call in your app. | 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 pay | LLM cost plus markup in its Agent SDK. We found no margin reporting. | 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 deal | Minimum commitments (Premium) and wallets, applied on the invoice. | Write it as a contract in Limitr Cloud. Its prices, limits, and terms are enforced in the product on the next call. |
| You change a price | Plans in the UI or API, with revenue forecasting (beta). | Replay the change on real usage, with revenue and cost, then publish. Live on the next call. |
| Open source | AGPLv3 core. Self-hosting is free; Premium is by quote. | The engine and policy format, Apache 2.0. |
What you'd still build on Lago: Limits that stop a call in your app (with Limitr: budgets and limits checked in your app before the call); Margin reporting per account (with Limitr: your cost and your price on every call, so margin per account is live); Contract terms enforced beyond the invoice (with Limitr: contracts enforced in the product on the next call).
When to choose Lago: Choose Lago if you want an open-source billing system to run yourself, and stopping usage isn't the problem.
Both are open source. What is different? Lago is a billing system you run. Limitr is an engine inside your app that decides each call (limits, prices, costs, contract terms) and then bills it. Limitr is Apache 2.0; Lago is AGPLv3.
Is Limitr a good alternative to Lago? Lago is open-source billing: it meters what happened and invoices it. Limitr is an open-source engine that decides each call in your app before it happens, then bills it. Choose Lago if you want an open-source billing system to run yourself, and stopping usage isn't the problem.
Where does Lago make its decisions, compared with Limitr? Lago: after the call. Usage is recorded and billed after it happens. Your app acts on alerts and webhooks, once the calls have already run. 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.
How do I switch from Lago to Limitr? Map your Lago plans and prices to a Limitr policy, line by line. Run Limitr in observe mode next to Lago and compare the numbers on real traffic. Switch enforcement on. Customers come over as they appear, with no migration day.
Which is better for AI agents, Lago or Limitr? 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.
Full comparison: Limitr vs Lago. Sources: Lago on GitHub, Lago pricing, Lago commitments.
Limitr vs Flexprice
Open-source usage billing with cost and revenue analytics (AGPLv3). Flexprice shows cost next to revenue and checks balances over its API. Limitr decides in your process, with prices, costs, limits, and contract terms in one policy.
| What happens when… | Flexprice | Limitr |
|---|---|---|
| An agent loop runs away at 2 a.m. | A remote balance check over its API, if your app makes it. | 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 pay | Yes: costsheets, and revenue against cost per customer. | 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 deal | Ramps, minimums, and drawdown order, with HubSpot and Salesforce. | 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 unreachable | The balance check is a network call. Your app decides what happens when it fails. | Nothing to reach. Decisions run in your process and keep working offline. |
| How it’s priced | From $199 a month plus 0.5% of billing. Enterprise from $3K a month. | Free to build. $49 a month plus usage when live. Never a share of your revenue. |
What you'd still build on Flexprice: The call to check before every use (with Limitr: budgets and limits checked in your app before the call); Fallback logic for when the check fails (with Limitr: decisions in your process, with nothing to fail open); Contract terms enforced in the product (with Limitr: contracts enforced in the product on the next call).
When to choose Flexprice: Choose Flexprice if you want self-hosted open-source billing with cost analytics.
Both track margin. What is different? Where the decision happens. Flexprice checks balances over its API; Limitr decides in your process with prices, costs, limits, and contract terms all in the policy.
Is Limitr a good alternative to Flexprice? Flexprice shows cost next to revenue and checks balances over its API. Limitr decides in your process, with prices, costs, limits, and contract terms in one policy. Choose Flexprice if you want self-hosted open-source billing with cost analytics.
Where does Flexprice make its decisions, compared with Limitr? Flexprice: a call to their service. Your app asks their API before acting, over the network, and decides what to do when that call fails. 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.
How do I switch from Flexprice to Limitr? Map your Flexprice plans and prices to a Limitr policy, line by line. Run Limitr in observe mode next to Flexprice and compare the numbers on real traffic. Switch enforcement on. Customers come over as they appear, with no migration day.
How is Flexprice priced compared with Limitr? Flexprice: From $199 a month plus 0.5% of billing. Enterprise from $3K a month. Limitr: Free to build. $49 a month plus usage when live. Never a share of your revenue.
Which is better for AI agents, Flexprice or Limitr? 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.
Full comparison: Limitr vs Flexprice. Sources: Flexprice on GitHub, Flexprice costs, Flexprice pricing.
Limitr vs OpenMeter
Open-source metering, now Kong Konnect Metering & Billing. OpenMeter enforces at the Kong gateway, eventually, and fails open. Limitr decides in your app, at the call, with the customer, their contract, and your cost in view.
| What happens when… | OpenMeter | Limitr |
|---|---|---|
| An agent loop runs away at 2 a.m. | Enforced at the Kong gateway, eventually consistent: counts catch up after calls pass. | 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 pay | Computes LLM model costs. We found no 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 deal | Plans and grants. We found no CRM or CPQ link. | 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 unreachable | The enforcement plugin fails open, and credits are not enforced. | Nothing to reach. Decisions run in your process and keep working offline. |
| Open source | Apache 2.0 metering core. | The engine and policy format, Apache 2.0. |
What you'd still build on OpenMeter: Limits that hold at the call, not eventually (with Limitr: budgets and limits checked in your app before the call); Margin per account (with Limitr: your cost and your price on every call, so margin per account is live); Credits and contract terms that are enforced (with Limitr: contracts enforced in the product on the next call).
When to choose OpenMeter: Choose OpenMeter if Kong is already your gateway and metering is the whole job.
Is OpenMeter part of Kong? Yes. OpenMeter joined Kong in September 2025, and its cloud is now Kong Konnect Metering & Billing.
Is Limitr a good alternative to OpenMeter? OpenMeter enforces at the Kong gateway, eventually, and fails open. Limitr decides in your app, at the call, with the customer, their contract, and your cost in view. Choose OpenMeter if Kong is already your gateway and metering is the whole job.
Where does OpenMeter make its decisions, compared with Limitr? OpenMeter: a gateway in the request path. Every call routes through their gateway or proxy, which enforces budgets per key at provider prices. 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.
How do I switch from OpenMeter to Limitr? Map your OpenMeter plans and prices to a Limitr policy, line by line. Run Limitr in observe mode next to OpenMeter and compare the numbers on real traffic. Switch enforcement on. Customers come over as they appear, with no migration day.
Which is better for AI agents, OpenMeter or Limitr? 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.
Full comparison: Limitr vs OpenMeter. Sources: OpenMeter joins Kong, Kong Metering & Billing, Kong Entitlement Enforcement plugin.
Entitlements and feature flags
Limitr vs Schematic
Plans, entitlements, and credits for SaaS and AI, built around Stripe. 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.
| What happens when… | Schematic | Limitr |
|---|---|---|
| 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 pay | We 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 deal | Custom 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 unreachable | By default, a check is a REST call with a short cache. | Nothing to reach. Decisions run in your process and keep working offline. |
| Open source | No. | The engine and policy format, Apache 2.0. |
What you'd still build on Schematic: Meters that update in your app, in the same step as the check (with Limitr: budgets and limits checked in your app before the call); Cost per call and margin per account (with Limitr: your cost and your price on every call, so margin per account is live); Prices and contract terms in the same rules as access (with Limitr: contracts enforced in the product on the next call).
When to choose Schematic: Choose Schematic if you want a polished plan and entitlement manager on Stripe, and cost isn't in scope.
Schematic also runs checks locally. What is different? 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.
Is Limitr a good alternative to 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. Choose Schematic if you want a polished plan and entitlement manager on Stripe, and cost isn't in scope.
Where does Schematic make its decisions, compared with Limitr? 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.
How do I switch from Schematic to Limitr? 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.
Which is better for AI agents, Schematic or Limitr? 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.
Full comparison: Limitr vs Schematic. Sources: Schematic in your stack, schematic-node, Schematic billing.
Limitr vs Stigg
Entitlements and usage runtime for AI products. Stigg serves entitlements from a cached sidecar next to your app. Limitr runs the engine inside your app, with prices, costs, and contract terms in the same policy.
| What happens when… | Stigg | Limitr |
|---|---|---|
| An agent loop runs away at 2 a.m. | A cached sidecar checks entitlements and credits, falling back to its Edge API. | 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 pay | We 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 deal | Contracts in beta, with Salesforce, HubSpot, and DealHub. | 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 unreachable | The sidecar serves its cache; misses go to the Edge API. | Nothing to reach. Decisions run in your process and keep working offline. |
| How it’s priced | Build free, Pro $399 a month, Scale from $50K a year. Bring-your-own-cloud from $150K a year. | Free to build. $49 a month plus usage when live. Never a share of your revenue. |
What you'd still build on Stigg: A sidecar to deploy and keep fresh (with Limitr: the engine in your process, holding the meters itself); Cost per call and margin per account (with Limitr: your cost and your price on every call, so margin per account is live); Contract terms beyond the beta (with Limitr: contracts enforced in the product on the next call).
When to choose Stigg: Choose Stigg if you want paywall and plan tooling for product teams.
Is a sidecar the same as running in-app? Close, but not the same. A sidecar is a separate process serving cached state. Limitr runs in your process and holds the meters itself.
Is Limitr a good alternative to Stigg? Stigg serves entitlements from a cached sidecar next to your app. Limitr runs the engine inside your app, with prices, costs, and contract terms in the same policy. Choose Stigg if you want paywall and plan tooling for product teams.
Where does Stigg make its decisions, compared with Limitr? Stigg: a sidecar next to your app. A separate process serves cached entitlements and credits, and falls back to their API on a miss. 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.
How do I switch from Stigg to Limitr? Map your Stigg plans and prices to a Limitr policy, line by line. Run Limitr in observe mode next to Stigg and compare the numbers on real traffic. Switch enforcement on. Customers come over as they appear, with no migration day.
How is Stigg priced compared with Limitr? Stigg: Build free, Pro $399 a month, Scale from $50K a year. Bring-your-own-cloud from $150K a year. Limitr: Free to build. $49 a month plus usage when live. Never a share of your revenue.
Which is better for AI agents, Stigg or Limitr? 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.
Full comparison: Limitr vs Stigg. Sources: Stigg product, Stigg sidecar, Stigg pricing.
Limitr vs Autumn
Open-source billing layer between your app and Stripe (Apache 2.0). Autumn checks access over its API and fails open when it can’t be reached. Limitr decides in your process, so there is nothing to fail, and prices each call at your cost.
| What happens when… | Autumn | Limitr |
|---|---|---|
| An agent loop runs away at 2 a.m. | An API call checks the balance first, if Autumn is reachable. | 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 pay | We found no per-call 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. |
| The service is unreachable | Checks fail open by default: the call is allowed, and usage during the outage may be lost. | Nothing to reach. Decisions run in your process and keep working offline. |
| Billing your customers for AI | Stripe handles subscriptions, invoices, and payments. | Meters each customer, keeps the ledger, and sends invoices. Collect through Stripe, or bill manually. |
| Open source | Apache 2.0. Self-host or use the cloud. | The engine and policy format, Apache 2.0. |
What you'd still build on Autumn: A plan for what happens when checks fail open (with Limitr: decisions in your process, with nothing to fail open); Cost per call and margin per account (with Limitr: your cost and your price on every call, so margin per account is live); Billing that isn’t tied to Stripe (with Limitr: collect through Stripe, or bill manually).
When to choose Autumn: Choose Autumn if you want the quickest credits-on-Stripe setup and cost isn't in scope.
What does failing open mean? When Autumn cannot be reached, its SDK returns allowed: true so your users are not blocked, and usage during the outage may be lost. Limitr decides in your process, so there is nothing to reach.
Is Limitr a good alternative to Autumn? Autumn checks access over its API and fails open when it can’t be reached. Limitr decides in your process, so there is nothing to fail, and prices each call at your cost. Choose Autumn if you want the quickest credits-on-Stripe setup and cost isn't in scope.
Where does Autumn make its decisions, compared with Limitr? Autumn: a call to their service. Your app asks their API before acting, over the network, and decides what to do when that call fails. 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.
How do I switch from Autumn to Limitr? Map your Autumn plans and prices to a Limitr policy, line by line. Run Limitr in observe mode next to Autumn and compare the numbers on real traffic. Switch enforcement on. Customers come over as they appear, with no migration day.
Which is better for AI agents, Autumn or Limitr? 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.
Full comparison: Limitr vs Autumn. Sources: What is Autumn, Autumn fail-open, Autumn check.
Limitr vs LaunchDarkly
Feature flags, experiments, and AI Configs for engineering teams. LaunchDarkly decides who sees a feature. Limitr decides that too, and what each use costs, what it’s worth, and when the plan runs out.
| What happens when… | LaunchDarkly | Limitr |
|---|---|---|
| A feature costs money on every use | Flags turn it on or off. What each use costs isn't part of it. | Each use is metered and priced, at your cost and your price. |
| A customer's plan doesn't include it | You map plans to flag targeting yourself. | Plan access lives in the same policy as the flag. |
| Sales gives one customer early access | Add them to the targeting rules. | Give them the feature with an expiry, as part of their deal, and bill it. |
| A rollout goes wrong | Kill switches and guarded releases with automatic rollback. | A kill switch in the policy, live on the next call. |
| How it’s priced | Free Developer plan, usage-metered Foundation, custom Enterprise. | Free to build. $49 a month plus usage when live. Never a share of your revenue. |
What you'd still build on LaunchDarkly: A mapping from plans to flags (with Limitr: plans, flags, and prices in one policy); Metering and pricing for each use (with Limitr: your cost and your price on every call, so margin per account is live); Per-customer grants that end and bill (with Limitr: give and take features per customer, with expiries).
When to choose LaunchDarkly: Choose LaunchDarkly for release engineering: rollouts, experiments, and guarded releases.
Using both: Release flags here, commercial flags there. Keep LaunchDarkly for shipping code safely. Put what each plan includes, and what each use costs, in Limitr.
Can Limitr do rollouts? Yes. Rollouts, betas, and kill switches live in the policy, alongside plan access, limits, and prices.
Is Limitr a good alternative to LaunchDarkly? LaunchDarkly decides who sees a feature. Limitr decides that too, and what each use costs, what it’s worth, and when the plan runs out. Choose LaunchDarkly for release engineering: rollouts, experiments, and guarded releases.
Where does LaunchDarkly make its decisions, compared with Limitr? LaunchDarkly: flag rules in your app. SDKs evaluate flag rules streamed to your app. Plans, prices, and costs are not part of the decision. 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.
How do I switch from LaunchDarkly to Limitr? Keep LaunchDarkly for release flags and experiments. Run Limitr in observe mode next to LaunchDarkly and compare the numbers on real traffic. Switch enforcement on. Customers come over as they appear, with no migration day.
How is LaunchDarkly priced compared with Limitr? LaunchDarkly: Free Developer plan, usage-metered Foundation, custom Enterprise. Limitr: Free to build. $49 a month plus usage when live. Never a share of your revenue.
Which is better for AI agents, LaunchDarkly or Limitr? 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.
Full comparison: Limitr vs LaunchDarkly. Sources: LaunchDarkly pricing, LaunchDarkly pricing (Orb Pricing Atlas capture).
AI cost and margin
Limitr vs Paid
Monetization and cost tracking for AI agents. Paid tracks what each agent cost after it ran. Limitr decides before it runs: whether the call is allowed, what it will cost, and whether the budget covers it.
| What happens when… | Paid | Limitr |
|---|---|---|
| An agent loop runs away at 2 a.m. | Tracks what the agent spent. Stopping it is up to your app. | 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 pay | Yes, its core: cost per agent, workflow, and customer, after the work. | 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 deal | Seat, activity, and outcome pricing in one contract. | Write it as a contract in Limitr Cloud. Its prices, limits, and terms are enforced in the product on the next call. |
| Open source | No. | The engine and policy format, Apache 2.0. |
What you'd still build on Paid: Budgets that stop a call before it spends (with Limitr: budgets and limits checked in your app before the call); Limits and caps per customer and task (with Limitr: caps per customer, org, task, and call); Enforcement of the contract in the product (with Limitr: contracts enforced in the product on the next call).
When to choose Paid: Choose Paid if you sell agents on outcomes and proving value per outcome is the core need.
Both track margin. What is different? Paid tracks cost and value after the work. Limitr also decides before the work: whether the call is allowed, what it will cost, and whether the budget can cover it.
Is Limitr a good alternative to Paid? Paid tracks what each agent cost after it ran. Limitr decides before it runs: whether the call is allowed, what it will cost, and whether the budget covers it. Choose Paid if you sell agents on outcomes and proving value per outcome is the core need.
Where does Paid make its decisions, compared with Limitr? Paid: after the call. Usage is recorded and billed after it happens. Your app acts on alerts and webhooks, once the calls have already run. 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.
How do I switch from Paid to Limitr? Map your Paid plans and prices to a Limitr policy, line by line. Run Limitr in observe mode next to Paid and compare the numbers on real traffic. Switch enforcement on. Customers come over as they appear, with no migration day.
Which is better for AI agents, Paid or Limitr? 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.
Full comparison: Limitr vs Paid. Sources: Paid, Paid seed round (TechCrunch).
Limitr vs Amberflo
Metering, AI cost attribution, billing, and an AI gateway. Amberflo attributes AI cost and enforces at a gateway your calls pass through. Limitr decides in your app, with no gateway in the path, and holds each customer to their contract.
| What happens when… | Amberflo | Limitr |
|---|---|---|
| An agent loop runs away at 2 a.m. | Budgets and cost guards at its AI gateway. | 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 pay | Yes: cost and margin per customer, model, and workload. | 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 deal | Commits and prepaid credits. | 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 unreachable | Model calls route through its gateway. | Nothing to reach. Decisions run in your process and keep working offline. |
| How it’s priced | From $99 a month (Starter). | Free to build. $49 a month plus usage when live. Never a share of your revenue. |
What you'd still build on Amberflo: A gateway in your request path (with Limitr: no gateway: decisions in your process); Per-customer contract terms in the product (with Limitr: contracts enforced in the product on the next call); An engine you can read and run yourself (with Limitr: an open-source engine, Apache 2.0).
When to choose Amberflo: Choose Amberflo if you want a managed AI gateway with cost allocation across cloud and model spend.
Do I need a gateway to control AI spend? No. Limitr makes the decision in your app before the call, with your provider keys staying where they are.
Is Limitr a good alternative to Amberflo? Amberflo attributes AI cost and enforces at a gateway your calls pass through. Limitr decides in your app, with no gateway in the path, and holds each customer to their contract. Choose Amberflo if you want a managed AI gateway with cost allocation across cloud and model spend.
Where does Amberflo make its decisions, compared with Limitr? Amberflo: a gateway in the request path. Every call routes through their gateway or proxy, which enforces budgets per key at provider prices. 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.
How do I switch from Amberflo to Limitr? Map your Amberflo plans and prices to a Limitr policy, line by line. Run Limitr in observe mode next to Amberflo and compare the numbers on real traffic. Switch enforcement on. Customers come over as they appear, with no migration day.
How is Amberflo priced compared with Limitr? Amberflo: From $99 a month (Starter). Limitr: Free to build. $49 a month plus usage when live. Never a share of your revenue.
Which is better for AI agents, Amberflo or Limitr? 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.
Full comparison: Limitr vs Amberflo. Sources: Amberflo on AWS Marketplace, Amberflo pricing.
AI gateways and routers
Limitr vs LiteLLM
Open-source LLM proxy with virtual keys, budgets, and routing. LiteLLM caps what a key spends at provider prices. Limitr decides what a customer may use against their plan, their contract, and what you charge them.
| What happens when… | LiteLLM | Limitr |
|---|---|---|
| An agent loop runs away at 2 a.m. | Budgets per virtual key, team, or user stop spend at the proxy, in provider dollars. | 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 pay | Spend at provider prices. No revenue, so no margin. | Margin per account is live, and a cap on what an account can cost you stops it before it turns unprofitable. |
| A customer's AI budget runs low | Routing and fallbacks follow providers, not the customer’s plan. | Your app asks Limitr which models the customer may use and can afford, and switches or downgrades. No proxy, no token resale. |
| Billing your customers for AI | Not a billing tool. | Meters each customer, keeps the ledger, and sends invoices. Collect through Stripe, or bill manually. |
| The service is unreachable | Every model call goes through the proxy. | Nothing to reach. Decisions run in your process and keep working offline. |
What you'd still build on LiteLLM: Limits tied to plans and contracts (with Limitr: limits tied to the customer's plan and contract); Revenue next to spend, for margin (with Limitr: your cost and your price on every call, so margin per account is live); Metering and invoices for your customers (with Limitr: metering, ledger, and invoices for your customers).
When to choose LiteLLM: Choose LiteLLM, next to Limitr, for one API in front of every model provider.
Using both: Route with LiteLLM, decide with Limitr. Limitr tells your app what a customer may use and can afford. LiteLLM sends the call to the right provider.
Can Limitr downgrade a model? Yes, by deciding. Your app asks Limitr whether a customer may use a model, or can afford it, and switches to another when the answer is no. Limitr never proxies the call.
Is Limitr a good alternative to LiteLLM? LiteLLM caps what a key spends at provider prices. Limitr decides what a customer may use against their plan, their contract, and what you charge them. Choose LiteLLM, next to Limitr, for one API in front of every model provider.
Where does LiteLLM make its decisions, compared with Limitr? LiteLLM: a gateway in the request path. Every call routes through their gateway or proxy, which enforces budgets per key at provider prices. 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.
How do I switch from LiteLLM to Limitr? Keep LiteLLM for routing to providers. Run Limitr in observe mode next to LiteLLM and compare the numbers on real traffic. Switch enforcement on. Customers come over as they appear, with no migration day.
Full comparison: Limitr vs LiteLLM. Sources: LiteLLM virtual keys, LiteLLM budgets and rate limits.
Limitr vs Portkey
AI gateway, now Palo Alto Networks' Prisma AIRS AI Gateway. Portkey governs AI traffic at a gateway, now as part of Palo Alto Networks. Limitr decides in your app what each customer may use, and bills them for it.
| What happens when… | Portkey | Limitr |
|---|---|---|
| An agent loop runs away at 2 a.m. | Cost and token budgets on provider integrations (Enterprise). | 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 pay | Cost tracking at provider prices. | Margin per account is live, and a cap on what an account can cost you stops it before it turns unprofitable. |
| A customer's AI budget runs low | Routing, fallbacks, and caching follow providers, not the customer’s plan. | Your app asks Limitr which models the customer may use and can afford, and switches or downgrades. No proxy, no token resale. |
| Billing your customers for AI | Not a billing tool. | Meters each customer, keeps the ledger, and sends invoices. Collect through Stripe, or bill manually. |
| The service is unreachable | Every model call goes through the gateway. | Nothing to reach. Decisions run in your process and keep working offline. |
What you'd still build on Portkey: Limits per customer and plan, not per provider key (with Limitr: limits tied to the customer's plan and contract); Revenue next to spend, for margin (with Limitr: your cost and your price on every call, so margin per account is live); Metering and invoices for your customers (with Limitr: metering, ledger, and invoices for your customers).
When to choose Portkey: Choose Portkey for AI traffic security and governance inside Prisma AIRS.
Is Portkey part of Palo Alto Networks? Yes. Palo Alto Networks completed its acquisition of Portkey in May 2026, and the gateway is now the Prisma AIRS AI Gateway.
Is Limitr a good alternative to Portkey? Portkey governs AI traffic at a gateway, now as part of Palo Alto Networks. Limitr decides in your app what each customer may use, and bills them for it. Choose Portkey for AI traffic security and governance inside Prisma AIRS.
Where does Portkey make its decisions, compared with Limitr? Portkey: a gateway in the request path. Every call routes through their gateway or proxy, which enforces budgets per key at provider prices. 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.
How do I switch from Portkey to Limitr? Keep Portkey for AI traffic security and routing. Run Limitr in observe mode next to Portkey and compare the numbers on real traffic. Switch enforcement on. Customers come over as they appear, with no migration day.
Full comparison: Limitr vs Portkey. Sources: Palo Alto Networks completes Portkey acquisition, Portkey budget limits.
Limitr vs OpenRouter
One API and one credit balance for hundreds of models, joining Stripe. OpenRouter resells model access through one API and one balance. Limitr never touches your tokens: you keep your provider keys, and Limitr decides what each customer may use and bills them for it.
| What happens when… | OpenRouter | Limitr |
|---|---|---|
| An agent loop runs away at 2 a.m. | Workspace budgets cap your own spend, not each customer's. | 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 pay | Provider prices passed through, plus a 5.5% fee on credits. Your price isn't in it. | Margin per account is live, and a cap on what an account can cost you stops it before it turns unprofitable. |
| A customer's AI budget runs low | Routes by price and uptime, not the customer's plan. | Your app asks Limitr which models the customer may use and can afford, and switches or downgrades. No proxy, no token resale. |
| Billing your customers for AI | Not a billing tool. | Meters each customer, keeps the ledger, and sends invoices. Collect through Stripe, or bill manually. |
| The service is unreachable | Every model call goes through OpenRouter. | Nothing to reach. Decisions run in your process and keep working offline. |
What you'd still build on OpenRouter: Per-customer limits and budgets (with Limitr: limits tied to the customer's plan and contract); Your price on every call, for margin (with Limitr: your cost and your price on every call, so margin per account is live); Metering and invoices for your customers (with Limitr: metering, ledger, and invoices for your customers).
When to choose OpenRouter: Choose OpenRouter for one API and one bill across hundreds of models.
Using both: Use any provider. Bill for all of it. OpenRouter can be one of your providers. Limitr meters what each of your customers uses and bills them for it.
Is OpenRouter part of Stripe? Stripe agreed to acquire OpenRouter in August 2026; OpenRouter said its pricing is unchanged.
Does Limitr resell tokens? No. You keep your own provider keys and rates. Limitr decides and bills; it never sits between you and the model.
Is Limitr a good alternative to OpenRouter? OpenRouter resells model access through one API and one balance. Limitr never touches your tokens: you keep your provider keys, and Limitr decides what each customer may use and bills them for it. Choose OpenRouter for one API and one bill across hundreds of models.
Where does OpenRouter make its decisions, compared with Limitr? OpenRouter: a gateway in the request path. Every call routes through their gateway or proxy, which enforces budgets per key at provider prices. 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.
How do I switch from OpenRouter to Limitr? Keep OpenRouter as a provider if you like. Run Limitr in observe mode next to OpenRouter and compare the numbers on real traffic. Switch enforcement on. Customers come over as they appear, with no migration day.
Full comparison: Limitr vs OpenRouter. Sources: OpenRouter pricing and Stripe deal (UsagePricing), Stripe and OpenRouter (The New Stack).
API keys and rate limits
Limitr vs Unkey
Open-source API keys, rate limiting, and usage credits. Unkey counts requests per key at its edge. Limitr decides what each customer's call is allowed and worth, in dollars and tokens, against their plan and contract.
| What happens when… | Unkey | Limitr |
|---|---|---|
| An agent loop runs away at 2 a.m. | Rate limits and credit counts per key, in requests. | 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 pay | Not part of it. | Margin per account is live, and a cap on what an account can cost you stops it before it turns unprofitable. |
| A customer upgrades their plan | Update the limits on the customer's keys or identity. | The plan changes once, and every limit follows. |
| The service is unreachable | Verification happens at Unkey's edge. | Nothing to reach. Decisions run in your process and keep working offline. |
| Open source | Open source and self-hostable. | The engine and policy format, Apache 2.0. |
What you'd still build on Unkey: Limits that know the plan and contract (with Limitr: limits tied to the customer's plan and contract); Dollars and tokens, not only request counts (with Limitr: limits in any unit: requests, tokens, dollars, seats); Pricing and billing each call (with Limitr: metering, ledger, and invoices for your customers).
When to choose Unkey: Choose Unkey for issuing and verifying API keys.
Using both: Unkey checks the key. Limitr decides the call. Verify who is calling with Unkey, then let Limitr decide what that customer may do and what it costs.
Can Limitr rate-limit? Yes. Burst and steady rate limits per customer are part of the policy, next to caps, budgets, and a global backstop.
Is Limitr a good alternative to Unkey? Unkey counts requests per key at its edge. Limitr decides what each customer's call is allowed and worth, in dollars and tokens, against their plan and contract. Choose Unkey for issuing and verifying API keys.
Where does Unkey make its decisions, compared with Limitr? Unkey: a call to their service. Your app asks their API before acting, over the network, and decides what to do when that call fails. 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.
How do I switch from Unkey to Limitr? Keep Unkey for issuing and verifying API keys. Run Limitr in observe mode next to Unkey and compare the numbers on real traffic. Switch enforcement on. Customers come over as they appear, with no migration day.
Full comparison: Limitr vs Unkey. Sources: Unkey docs, Unkey rate limiting.
Agent payments
Limitr vs x402
An open HTTP protocol for agents to pay per request in stablecoins. x402 moves money for one request. Limitr decides what each buyer may use across all of them, meters it, and bills it. They work at different layers.
| What happens when… | x402 | Limitr |
|---|---|---|
| An agent wants to buy from your app | The server answers 402 with terms, and the client pays in stablecoins and retries. | With Limitr Network, it signs a voucher for a plan, an amount, and a time. Spend lands on its Cloud invoice, and you're paid through Stripe. |
| It needs a plan, not one payment | Not part of the protocol. Each request carries its price. | Plans, caps, and budgets per buyer, in your policy. |
| You want a cap per buyer | Up to your server. | A cap in the voucher and in your policy. The provider never serves more than it was paid for. |
| Who governs it | The x402 Foundation, under the Linux Foundation. | Open-source engine and protocol (Apache 2.0), with Cloud as an optional operator. |
What you'd still build on x402: Plans and caps per paying buyer (with Limitr: plans and caps per buyer, in your policy); Metering and margin per buyer (with Limitr: margin per buyer, like any customer); Invoices for buyers without wallets (with Limitr: voucher spend on a Cloud invoice).
When to choose x402: Use x402 when you want account-free, per-request payment in stablecoins.
Using both: Take x402 payments, keep your plans. Treat each paying wallet as a customer in your policy, so its limits, caps, and margin apply like anyone else’s.
Is Limitr Network built on x402? No. Network buyers pay with signed vouchers against a Limitr Cloud invoice, and providers are paid through Stripe.
Who runs x402? Coinbase introduced it in 2025. Since 2026 the x402 Foundation, under the Linux Foundation, stewards the protocol.
Where does x402 make its decisions, compared with Limitr? x402: at payment, per request. A server answers 402 with terms, and the client pays and retries. Plans, caps, and metering are up to your server. 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.
Full comparison: Limitr vs x402. Sources: What is x402 (Decrypt), x402 Foundation (Decrypt), Limitr Network.
Building it yourself
Limitr vs Building it yourself
Counters, tables, and webhooks in your own code. The first version is quick either way. Limitr is built for every change after it: a new plan, one customer’s deal, a model that costs more, with current customers handled.
| What happens when… | Building it yourself | Limitr |
|---|---|---|
| You add a plan | New tables, a migration, and a release. | Add it in Limitr Cloud and publish. Live on the next call. |
| Sales signs a custom deal | A branch in the code for that customer. | Write it as a contract in Limitr Cloud. Its prices, limits, and terms are enforced in the product on the next call. |
| A model's price changes | Find every place the cost is hardcoded. | Change one credit. Every plan that uses it follows. |
| Two calls race for the last credit | Your own locking and reservation code. | Reserved and settled by the engine, so concurrent calls can’t overspend. |
| Who owns it | You do, along with every edge case. | You do too: the engine is open source and runs in your app. |
What you'd still build on Building it yourself: Resets, grants, caps, and concurrency (with Limitr: tested in the engine, already); An editor so finance and sales can change pricing (with Limitr: limitr Cloud, with replays before you publish); Ledgers, invoices, and margin reporting (with Limitr: built in, per customer).
When to choose Building it yourself: Build it yourself if your pricing will never change.
When should we build it ourselves? If your pricing never changes, build it. If plans, deals, and model prices will keep moving, that is the work Limitr removes.
Where does Building it yourself make its decisions, compared with Limitr? Building it yourself: wherever you write it. Checks live in your own code, wherever each team put them, with every change a release. 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.
How do we replace our own code with Limitr? Write your current plans and limits as a policy, or let a coding agent do it with the Limitr skills. Run it in observe mode next to your code and compare the numbers on real traffic. Switch enforcement on and delete the counters, tables, and branches it replaces.
Full comparison: Limitr vs Building it yourself. Sources: Limitr engine.