Credyt is real-time monetization infrastructure for AI, with the core goal of solving three typical problems AI products face in billing and cost control: not knowing which pricing model to adopt, fronting AI costs before charging users, and not understanding their own profit margins as they scale.
Purpose Credyt is used to observe the actual spending of AI applications, control cost exposure, and bill customers according to the pricing model the product currently uses or may adopt in the future. The official description emphasizes that every time a user accesses the application, a cost is incurred, and Credyt can bill them in real time.
Main capabilities
- Real-time cost stream: Observe costs for each API call, each model, and each customer, understand the actual cost of each user, not waiting for month-end settlement but happening in real time; anomalies can be detected, and customer-level profitability can be viewed in real time.
- Limits and budget control: Hard budget caps can be set for each customer, each agent, and each team. Credyt checks the balance before authorizing usage, rather than after generating an invoice; if the balance is insufficient, it blocks the operation, avoiding exceeding thresholds and over-limit bills.
- Billing with multiple pricing models: Supports pricing models such as usage-based, subscription, hybrid, credits, tokens, and entitlements. Pricing can be designed in the dashboard and adjusted without modifying code; customers get a clean billing portal showing real-time balance, usage history, and top-up options, without frontend engineering.
- Real-time charging and balance updates: Official examples show that usage authorization, pricing, and charging happen atomically, with no batch processing, user-side balances update instantly, and revenue is visible in real time.
How to use Materials mention that for users building applications with Lovable, Bolt, or Claude, Credyt can add real-time billing in a few hours without a backend; designing pricing takes about 2 minutes, and after pasting a prompt, customers can see the billing portal. For AI-native companies, Credyt can handle real-time billing, subscriptions and usage-based pricing, and a customer-facing portal. Teams can view spending in real time, enforce budget limits, and test new pricing models without deploying. Integration duration, specific onboarding steps, and code examples are not yet fully provided in the available materials.
Applicable scenarios
- Individuals or small teams using tools such as Lovable, Bolt, and Claude to build quickly and wanting to integrate billing quickly.
- AI-native companies with live products where every API call incurs real costs and that need real-time monetization and budget control.
- Those whose revenue is growing but whose profit margins are unclear, and whose usage is growing faster than pricing adjustmentsTeams that need real-time spending visibility, budget enforcement, and pricing flexibility.
- Products that need to support multiple pricing models such as usage, subscription, hybrid, credits, tokens, and entitlements.
- The official source also suggests that Credyt may be suitable for scenarios such as games or in-app economies, but the specific capabilities and limitations have not yet been elaborated in the materials.
Limitations and considerations The provided materials do not give complete specific integration steps, details of supported technology stacks, available regions, specific feature limitations, or service-level commitments. Regarding pricing, the official source only states that you can start for free, that it does not take a percentage of revenue, that there are no long-term commitments, and that it charges by active customers rather than by revenue amount. Details such as whether it can coexist with an existing Stripe setup, the specific differences from Stripe Billing, and integration time are listed in the materials in the form of FAQ questions, but no answers are given and they are not yet provided.
