UnitPay

Price, bill, and prove value for your AI product

API

Fintech

Developer Tools

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Vijay, the margin-tracking pitch is what got me. WinBidIQ runs its AI summaries/scoring through a multi-provider LLM setup (primary provider with a fallback when quota gets hit), so the actual inference cost per request isn't fixed — it depends on which provider handled that specific call. Does UnitPay's margin tracking capture the real per-request cost when it varies like that, or is it built around a single expected/blended cost per action? That distinction is exactly the kind of thing I'd have gotten wrong building this myself.

Vijay — the line in your intro that jumped out was "what if they upgrade mid-cycle with a negative balance." I run WinBidIQ (AI bid intelligence for U.S. federal contracts), and we meter AI-generated proposal drafts plus daily federal opportunity data pulls per customer. Our version of that problem is fiscal-year-driven usage bursts: a customer can blow through a month's credit allotment in one week chasing an RFP deadline, then go quiet for three. Does UnitPay support any kind of temporary overage/grace buffer before hard-stopping at zero balance, or is it strictly prepaid-and-cut-off?

Hey @vijay_gorfad2, congrats on the launch. I like the AI summary links on the website, cool touch.

I modeled some customers to give you some feedback:

1. One of the most common feedback points was that users want automated GAAP compliant revenue recognition mapping that syncs usage to their accounting tools like QuickBooks, Xero, and Sage.

2. A number of users report already using Stripe's Metronome (metronome.com) for AI based usage billing, but uses with data sensitive products (like medical AI) say they would switch to a product that offers a self-hostable VPC gateway option with local event masking.

The part that matters for anyone shipping AI is per-token metering tied to real inference cost and margin in one ledger — most teams bolt Stripe on and never see unit economics until the invoice lands. My one edge case: when usage settles late (an async/batch job whose token cost only resolves hours after the request), does UnitPay reserve credits at request time, or reconcile against the balance at settlement — and what happens if that settlement pushes a prepaid customer negative mid-cycle?

Smart approach. Does it support metered billing rollups at custom intervals, or only monthly?

Congrats on the launch! Billing infra is such an unglamorous but critical piece — we went through our own webhook-idempotency + subscription-state-sync headaches wiring Stripe + Lemon Squeezy for CancelKit's save-offer flow, so I have a lot of respect for anyone tackling usage-based/per-token billing at this level of complexity. Does UnitPay handle its own webhook retries/idempotency, or does it sit on top of Stripe's?

Interesting launch. Like the value receipt. Most billing tools show what a customer spent, almost none show what they got back. Congrats

For the “prove value” part of UnitPay, how are you thinking about the actual proof layer? Is it more around usage and billing data, or do you help AI product teams connect outcomes back to customer-facing metrics too? Curious because pricing an AI agent or workflow tool can get messy fast when token costs, seats, and business value all point in different directions.

Congratulations on the launch! AI pricing is becoming increasingly complex as products combine multiple models and usage patterns. I like that you're tackling both billing and value measurement instead of treating them separately.

I'm curious whether teams can define custom pricing metrics beyond tokens, such as API calls, workflows, or business outcomes.

@vijay_gorfad2 Congrats on bringing UnitPay to PH! 🚀
For teams with an existing app already using standard Stripe subscriptions, how heavy is the lift to layer UnitPay on top for usage-based credits? Is it plug-and-play alongside Stripe, or does it work best as a complete replacement for the billing pipeline?

The “prove value” part of the UnitPay tagline is the piece I’m most curious about. Is that meant to connect usage-based billing to customer-facing reports, or more for internal teams to understand which AI features are driving revenue? For AI agents and workflow automation tools, the unit of value can be pretty different from app to app, so I’d be interested in how flexible that model is.

Proud to have been part of this journey! 🚀

I've seen firsthand how much thought and effort the team has put into building UnitPay. It's exciting to finally see it live on Product Hunt. Huge congratulations to everyone involved, and wishing you an incredible launch!

thw lovable demo is a nice touch checked the ledger math and it holds up nicely. wishing you guys a massive launch day today👏qq can we map different credit burn rates for fast vs slow models directly in the dashboard?

What a day. 🚀

Seeing @UnitPay live on Product Hunt is something we've been working toward for a long time, and it's honestly exciting to finally share it with everyone.

A lot of the vision behind UnitPay comes from our founder, Vijay, who saw firsthand how AI teams were spending months building billing instead of building their products. That experience became the foundation for everything we've built.

Our goal is simple. We want to make monetisation feel effortless so builders can spend their time creating great products.

If you've checked us out today, thank you. Every upvote, comment, and bit of feedback means a lot to our team.

We'll be here all day answering questions and listening to your feedback. We'd genuinely love to hear what you think and what you'd like to see next. 💚