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Build with AI

Integrating Pago46 with the help of an AI assistant? We give models all the context they need. Our docs publish an llms.txt index that links to a clean Markdown copy of every page, so any assistant can read the pay-in, pay-out, authentication, and checkout flows without wrestling with the site's HTML.

Pick your assistant below to open it with the integration prompt already loaded, or copy a ready-to-run command for your terminal coding agent.

Our docs publish an llms.txt index that points any AI at a clean Markdown copy of every page. Launch your assistant with the integration prompt ready, or copy a ready-to-run command for your terminal coding agent.

Open llms.txt

Chat in your browser

Opens the assistant with the prompt loaded. Gemini has no prefill — use “Copy prompt” and paste it.

ClaudeAnthropicChatGPTOpenAIPerplexitySearch + browseGrokxAILe ChatMistral AIGeminiGoogle

Use your coding agent

Copy a ready-to-run command for your terminal.

Claude CodeAnthropic CLI
Codex CLIOpenAI
Gemini CLIGoogle
opencodeOpen source
Cursorcursor-agent CLI
AiderOpen source

The prompts​

These are the exact prompts the buttons above use. Copy and adapt them to your case — for example, name your language, framework, or whether you integrate as a merchant or as a payment provider.

For browser assistants (Claude, ChatGPT, Perplexity, Grok, Le Chat, Gemini):

I'm integrating Pago46 cash payments (pay-in and pay-out) for Latin America.
Read the documentation index at https://docs.pago46.io/en/llms.txt — it links to
a Markdown copy of every doc page — then help me plan and implement the
integration. Start by fetching that URL.

For terminal coding agents (Claude Code, Codex, Gemini CLI, opencode, Cursor, Aider):

Read https://docs.pago46.io/en/llms.txt and the pages it links, then help me
integrate Pago46 cash pay-in and pay-out.
Copy any page into your assistant

Every page in these docs has a Copy Page button (top right) that copies its Markdown, or opens it directly in ChatGPT or Claude. Use it when you have a focused question about one specific page.

How it works​

  • llms.txt — an index at the site root that lists every page with its title and a link to the Markdown version. It's the ideal starting point for an assistant: open it here.
  • Per-page Markdown — every page also exists as .md (for example authentication.md), stripped of the site chrome, so the model reads only the content.
  • Always fresh — these files are generated on every docs release, so the assistant reads the current version, not a stale copy.

For the full endpoint and payload reference, also point your assistant at the OpenAPI reference.