Documentation

Requestador is an AI middleware platform — a control layer that sits between your applications and AI models.

Instead of dealing with unpredictable, unstructured AI outputs, Requestador lets you define prompt endpoints with built-in validation rules, business logic, catalog mappings, and automatic retry mechanisms. Think of it as an API gateway built specifically for AI: every request is parameterized, every response is validated, and failures are handled automatically — without exposing raw AI errors to your systems.

Whether you're enriching product data at scale, validating customer input across multiple channels, generating brand-consistent imagery, or powering a multi-tenant SaaS platform, Requestador ensures that AI outputs are accurate, structured, and production-ready from day one.

One integration. Unlimited validators. Zero deploys for rule changes.

Documentation image

In This Documentation

  • Configuring an AI Endpoint in Requestador: Steps and Best Practices

  • Creating and Testing Actions in Requestador

    • Validation Scripts Guide

    • Transformation Scripts Guide

  • Creating a Catalogue

    • Using Catalogs in Validation Scripts to Ensure AI Output Compliance

    • Using Catalogs in Transformation Scripts for Normalizing Output Values

  • User Management Guide

  • Troubleshooting