Clocknext - Pricing and Billing Infrastructure for AI Agents
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Clocknext is a billing and monetization platform for AI-native apps and agents. It’s tailored for AI founders, revenue, and engineering teams, to track AI usage from your product in real time, turn it into billable metrics with flexible pricing plans, and monitor costs, margins, and profitability at every level.
Replies
Margins per customer is the metric most AI apps don't have until it's too late. How do you handle a single user action that fans out to several model calls with different providers, do you attribute the combined cost back to that one action or does it show up as separate line items?
@galdayan Exactly, Gal. A lack of visibility into margins per customer can hurt, especially when expensive models and high usage numbers are in play!
Clocknext solves this by handing complete control over how each user action is monetized.
Raw usage is captured in real time as signals.
You can create entitlements like credits, outcomes, and more, and define exactly how the customer's signal should be monetized, what models are being used, and what margins go along with each of them.
So regardless of what model or what provider a user runs, you make margins.
On top of that, cost attribution comes back to you as a single line item when you combine it as an outcome or composite. You can also bill them as separate line items by keeping them as individual entitlements.
@vijayanandkailash @arundesigns Thank you, Arun! That's a great question, because it's a dull pain that founders hardly recognise until it eats into their revenue.
Some strong trigger points we've seen with AI founders that push them towards a solution:
Current solutions in the market are still traditional, where they realise that they're trying to fit the product's pricing strategy to the tool, rather than the other way around, where the tool supports the ideal pricing strategy
In-house billing setups they have, become increasingly troublesome to maintain and scale as they onboard customers
Founders have no clue whether a customer they've signed is actually making them money until the end of the month, when they may have already lost revenue
This seems really cool, can't wait to see where it will go! Congrats on the launch.
@benjamin_sloutsky Thank you for your support, Benjamin! Means a lot. :)
Love how Clocknext brings usage billing and other profitability together this is a real pain point for AI startups. Great work, team. Congrats on the launch.
@kartikrawatt Thank you for the support!
This feels like one of those problems that’s only going to get bigger as more AI products come to market. Making pricing and billing easier for AI companies makes a lot of sense. Excited to see where Clocknext goes from here. Congrats on the launch! Kudos to the entire @Clocknext team! 🚀
@deepak_v17 Thank you for the support :)
Will certainly try this out. I've been using stripe and chargebee for a while, @Clocknext is a good alternative!
@sharun_kanan Bespoke for AI. Thank you for the support!
Congrats on the launch, @vijayanandkailash
AI billing has been a real pain and Clocknext made it simple for us. 🚀
@shivaraj_s Glad to have you as one of our early adopters. The use cases that we solve for Facilio pushes us to go deeper and attribute the nuances of how agents runs, and turn every AI usage in to accurate billing.
Vijay is back with a banger, congrats to the whole team on launch. Do good.
@harshactually Thank you, my friend!
Congrats team! The "Postgres signals table + cron job + spreadsheet" line is painfully accurate. Pricing experiments in agent products slow down because every change needs engineering to touch the metering code. Making pricing a config change rather than a deploy is going to be a need.
@satya_deva549 Thank you for the support!
@vijayanandkailash very important use case to target, as building agents is simpler, but monetizing them is a hard nut to crack.