Paywall is the first payment infrastructure integrated with Cursor IDE.
443 documents, one command.
Cursor AI loads only the relevant documents based on your question. Payment questions activate payment documents, while webhook questions activate webhook documents.
All API documents are downloaded into your project. You can get accurate information about Paywall from Cursor AI even without an internet connection.
It uses Cursor’s latest .mdc rule format. YAML frontmatter provides smart rule management and activation control.
Ready-to-use code examples for C#, Go, Java, PHP, Python, Ruby, TypeScript, and cURL. Start immediately, no matter which language you use.
| File | Scope | Status |
|---|---|---|
| paywall-core.mdc | Core information, authentication, environment settings | ALWAYS |
| odeme-servisi.mdc | 3D Secure, Non-Secure, refund, cancellation, installments | AUTO |
| tekrarli-odeme.mdc | Subscription and recurring payment management | AUTO |
| pazaryeri.mdc | Marketplace, revenue management, debt tracking | AUTO |
| payout.mdc | Payouts and IBAN transfers | AUTO |
| cuzdan.mdc | Wallet services and balance management | AUTO |
| webhook-hata.mdc | Callback endpoints and error codes | AUTO |
With a single command, the .cursor/rules/ and paywall-docs/ folders are added to your project.
Cursor IDE automatically reads the rule files and includes them in context.
Ask questions about the Paywall API and get accurate, up-to-date answers.
Paywall Cursor Rules is a set of rules that integrates the entire API documentation of the Paywall payment infrastructure into the Cursor IDE’s AI assistant. When developers ask Cursor questions about payment services, webhook management, recurring payments, or marketplace processes, the AI no longer responds with generic information; instead, it provides answers based on Paywall’s up-to-date and accurate documentation.
In the traditional method, developers must navigate through API documents, find the relevant information, adapt code examples to their own projects, and manually track integration details. Paywall Cursor Rules reverses this process: the documentation comes directly to your project, and you just ask the questions you need answered.
Installed with a single command, this structure places hundreds of API documents and module-based rule files into the .cursor/rules/ directory. Cursor AI automatically activates only the relevant rules based on the topic you ask about. For example, if you ask about payment flows, the payment service rules are triggered; if you ask about webhook errors, the webhook and error management rules are included in the context.
Files with the .mdc extension are the rule file formats used by the Cursor IDE to provide context to its AI model. Thanks to their YAML frontmatter structure, you can define exactly when, under what conditions, and within what scope each rule file will be activated.
The .mdc rules offered by Paywall are divided into two categories:
This architecture ensures that Cursor AI is never overloaded with unnecessary data, allowing it to respond with the most relevant and up-to-date documentation for the given context. Consequently, the code suggestions and explanations generated by the AI match real-world API behavior precisely.
Payment systems require managing many moving parts simultaneously, such as multi-bank integrations, 3D Secure flows, installment structures, subscription cycles, and marketplace commission calculations. Tracking this complexity manually slows down the development process and increases the risk of errors.
Paywall simplifies this complexity within the financial sector through a payment orchestration approach managed via a single infrastructure. It provides access to pre-established integrations with major banks (such as Akbank, Garanti BBVA, YapıKredi, DenizBank, İş Bankası, Ziraat, Vakıfbank, Halkbank, ING, TEB, QNB, KuveytTürk, and Fibabanka) through a single API.
The Cursor Rules integration combines this orchestration layer with an AI-powered development experience; developers can simply ask Cursor AI which bank, payment method, or module to use, and shape their code accordingly.
The installation process consists of three simple steps:
Upon installation, hundreds of API documents, module-based rule files, and ready-to-use code examples for supported programming languages are downloaded directly into your project.
You can ask Cursor AI to implement 3D Secure and Non-Secure payment flows, refunds, cancellations, and installment payment structures directly at the code level. The AI suggests which endpoint to call with which parameters based on the latest documentation.
Cursor AI guides you step-by-step through setting up callback endpoints, listening to specific event types, and interpreting error codes. You can also get up-to-date examples for the webhook validation process.
For scenarios like creating subscription plans, defining trial periods, managing automatic collection cycles, and handling subscription cancellations, the relevant module rules will automatically activate to guide you with accurate code examples.
You can quickly understand and implement multi-step processes such as tracking vendor earnings, commission calculations, debt management, and withdrawing money via IBAN (payouts) in a marketplace model through Cursor AI.
Paywall Cursor Rules consists of seven separate rule files, each focusing on a specific topic. This modularity ensures that Cursor AI loads only the relevant information, boosting both performance and response accuracy.
Note: All of these modules activate automatically only when a relevant question is asked, while paywall-core.mdc keeps core information like authentication and environment settings in the context at all times.
Paywall Cursor Rules is designed to work independently of the technology stack developers use. Ready-made code examples are available in the following languages:
No matter which language you are developing in, Cursor AI will respond to your questions with executable code examples tailored to that specific language. This ensures that teams achieve consistent results from the same documentation source, regardless of their tech stack.
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