📄️ Teads In-Chat API (V2.0): Example Use Cases
This documentation provides technical implementation examples for the Teads Recommendation Request (API Version 2.0). This API is a POST call used to fetch a structured JSON payload of sponsored and organic recommendations for conversational interfaces.
📄️ Getting Started with Teads LLM Integration
Welcome to the Teads LLM/Chatbot Integration portal. This API allows Chatbot and LLM publishers to programmatically retrieve and inject contextually relevant ad recommendations into conversational interfaces.
📄️ Technical Integration Guide: Teads In-Chat API (V2.0)
This documentation defines the technical specification for the Teads Recommendation API (API Version 2.0). This API can be used to fetch a structured JSON payload of sponsored content and organic recommendations tailored to conversational interfaces.
📄️ Privacy & Consent Integration Guide (API V2.0)
This document outlines the technical requirements for handling user privacy, data transparency, and regulatory compliance when integrating the Teads Recommendation API. To ensure monetization eligibility and legal compliance (GDPR, CCPA, etc.), specific parameters must be passed in every request.