Know your unit economics
Revenue, costs & margins in one overview. The unit economics every AI startup needs to scale with confidence.
Any pricing model.
Ships in an afternoon.
Your power users cost you money
Polar breaks down LLM spend customer by customer, so you catch the ones bleeding your margins before they bleed your runway.
Customer
Revenue
LLM cost
Gross margin
Jane Doe
Enterprise · 4.1M tokens
$4,200
$294
+93%
John Doe
Growth · 3.3M tokens
$1,800
$234
+87%
Emily Carter
Growth · 2.6M tokens
$920
$184
+80%
Michael Chen
Hobby · 5.5M tokens
$480
$389
+19%
Sarah Müller
Hobby · 8.7M tokens
$90
$612
-580%
01.
Customer invoiced automatically
Usage rolls straight into invoices and charges, with no manual billing runs.
Learn more
02.
LLM Usage Breakdown
03.
Margins, Profits & Cashflow Metrics
04.
Cost Anomalies & Insights
05.
Tax Collection & Remittance
06.
Payment Processing
07.
Refunds & Chargebacks
08.
Risk Analysis & Fraud
Everything between usage & revenue
Usage goes in, settled revenue goes out to your bank account. In between, Polar handles billing, invoicing, metrics, tax, payments & fraud as your merchant of record.
John Doe
Consumed 23,820 tokens
Polar
Customer invoiced automatically
LLM Usage Breakdown
Margins, Profits & Cashflow Metrics
Cost Anomalies & Insights
Tax Collection & Remittance
Payment Processing
Refunds & Chargebacks
Risk Analysis & Fraud
Merchant Payout
Acme Inc
$9,311
SEB **** 9128
Event-based usage billing. Checkouts that convert. Realtime metrics. Worldwide tax handled.
Polar is the financial layer for a new generation of intelligent software.
Built for the shape of AI
From token-metered APIs to autonomous agents and GPU workloads. Polar fits how modern AI products actually charge.
AI completions
Wrap any model from the Vercel AI SDK with the Polar LLMStrategy. Token usage is metered and billed automatically on every call.
import { Ingestion } from '@polar-sh/ingestion'
import { LLMStrategy } from '@polar-sh/ingestion/strategies/LLM'
import { generateText } from 'ai'
import { openai } from '@ai-sdk/openai'
const llm = Ingestion({ accessToken: process.env.POLAR_ACCESS_TOKEN })
.strategy(new LLMStrategy(openai('gpt-4o')))
.ingest('openai-usage')
const { text } = await generateText({
model: llm.client({ customerId: user.id }),
prompt,
})What industry leaders
think about Polar.
The speed at which Polar is executing on the financial infrastructure primitives the new world needs is very impressive.
I've joined Polar as an advisor!
I think it benefits everyone for devs to have more options to get paid to work on their passions, to support upstreams, and for users to have more confidence/transparency in the software they're supporting/purchasing.
I switched to Polar a few weeks back. Best decision ever.
Starter
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Fees
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Features
All features to sell
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Fees
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Features
All features on Starter
Prioritized Support
Growth
For scaling startups.
Fees
3.60% + 35¢ per transaction
Features
All features on Pro
Prioritized Support
Scale
For fast growing businesses.
Fees
3.40% + 30¢ per transaction
Features
All features on Growth
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