Clocknext

Clocknext is monetization and billing infrastructure built specifically for AI agents and AI-native applications. It lets teams track AI usage from their product in real time, turn that usage into billable metrics with flexible pricing plans, and monitor costs, margins, and profitability at every level. The platform is aimed at AI founders along with revenue and engineering teams who need to convert tokens, completed outcomes, and countable units into revenue. Its stated goal is to make AI billing simple again: every AI interaction has to be metered, priced, and billed, and Clocknext supplies the infrastructure for that so teams do not have to assemble it themselves. The problem Clocknext addresses is the gap between counting usage and earning from it. As the company puts it, every token is easy to count, but turning it into revenue isn't. Without the right infrastructure, teams risk losing revenue, momentum, and peace of mind. Cost visibility is a large part of that risk: a model switch made in June should not surface as a surprise in September, which is why Clocknext tracks cost as it happens, against the signal that caused it. Engineering dependency is the other friction point — metering pipelines, wallet logic, and invoicing all have to be built and maintained unless a platform owns them, and pricing changes routinely get queued behind engineering work. Clocknext is designed so that pricing moves at the speed of the business rather than the deployment calendar. Pricing is assembled from primitives that can be mixed and changed without touching the code that reports usage. Credits are a token-denominated allowance drawn from a wallet as agents work. Outcomes price the completed result rather than the compute behind it. Units cover seats, repos, integrations, and anything countable. Composites combine primitives for multi-action agents and bill them as one line. In the product's own example, 100,000 credits at $0.008 come to $800.00, 47 outcomes at $12.00 come to $564.00, 12 seats at $29.00 come to $348.00, and a voice agent composite spanning four meters comes to $410.00 — all of it landing on one plan and one invoice totaling $2,122.00. Teams start with one primitive, add the rest when needed, and change the mix freely. Payment methods are equally configurable, supporting prepaid, postpaid, hybrid, and top-ups. With prepaid, customers fund a wallet before they use anything and usage draws it down in real time, so there is no chasing payment after the work is done. Hybrid combines a commitment upfront that covers expected volume with anything beyond it billed after, with both landing on the same invoice under one plan. Postpaid meters through the month and settles once at the end, fitting the purchase order and procurement cycle enterprise buyers already run. Top-ups let customers buy more credits or outcomes on their own whenever they need them, with the balance landing in their wallet straight away. Margin control sits alongside billing. Clocknext bridges the gap between provider cost and usage with margins that keep a product's bottom line healthy in real time, showing revenue against provider cost with margin as the visible band between them. A customer view surfaces cash balance, credit allowance, units consumed, revenue, provider cost, gross margin, and month-over-month movement, alongside a monthly table of revenue, provider cost, margin, and gross margin. Because margin is tracked by account, by agent, and by model, an account that falls below target is flagged — for example, a customer showing 8.2% margin against peers at 74.9% and 66.9% — and can be repriced immediately. Changes to the plan, the rate, or the credit conversion take effect on save, with no engineering involvement. Operationally, the product is built around usage signals rather than a bespoke metering pipeline. Setup runs in three steps: install the SDK, send a usage signal, and map signals to pricing. From there, pricing packages are built by mixing credits, outcomes, and units and bundling them into composites when a product needs its own price, then published to all customers live with no deploy. Engineering teams get a drop-in usage SDK and API so there is no metering pipeline to own, while wallets and invoicing are built in. Product teams can run no-code pricing experiments, ship new plans in hours, and A/B test monetization without an engineering dependency. The stated outcomes are speed and financial clarity. Clocknext reports a time to live of two days from signup to the first invoice out the door, eight hours of billing operations saved every week on reconciliation and invoicing, and a 90% increase in gross margin after pricing moved onto the platform. Teams can catch losses immediately because cost is attributed to the signal that caused it, and they can reprice without a deploy whenever a rate or conversion no longer works. For revenue teams, the value is per-agent margin analytics, self-serve credit top-ups, and revenue and provider cost in a single view, so pricing decisions can be made against profit rather than top-line numbers alone. Concrete workflows follow from those building blocks. A team launches a product with a hybrid plan, covering expected volume with a commitment and billing overage after. A voice agent with several billable actions is modeled as a composite of four meters and billed as one line item. A revenue team notices an account whose gross margin has slipped below target and reprices that offering, with the change going live on save. Customers top up credits on their own instead of waiting on an account manager. An enterprise buyer procures on postpaid terms through a purchase order while prepaid customers fund a wallet before use. Product teams test a new rate with an A/B experiment and publish the winner to all customers. Clocknext is positioned for AI-native teams globally, including AI founders and the product, engineering, and revenue functions inside those companies, and it lists Boomerang, Facilio, Superb AI, Strivelabs, and Ninjahire among the teams using it. The platform is offered with a free start and a free trial — free up to $100K USD in billed revenue — alongside a demo booking path for teams that want to see it in action. It also publishes a guide to pricing economics for AI agents, aimed at teams refining their pricing strategy. In summary, Clocknext is monetization infrastructure for AI agents that unifies metering, flexible pricing primitives, prepaid and postpaid payments, and real-time margin analytics in one system. Its primary value proposition is straightforward: meter AI usage as it happens, price it in whatever mix of credits, outcomes, and units fits the product, change that pricing without a deploy, and see margin per customer, per agent, and per model so AI billing stops being the bottleneck between usage and revenue.