paid-media-api

To discover read-only API endpoints and authentication flows for data pipelines, you can automate the extraction of minimum metadata including base URLs, rate limits, pagination patterns, and sample JSON schemas to produce a structured investigation report.

The best way to document API rate limits and pagination patterns for Meta Marketing and Google Ads is to use automated discovery tools that extract these specific read-only metadata fields and return them in a structured JSON format for pipeline integration.

Yes, you can extract sample JSON schemas from unknown or custom APIs for your BI pipeline by utilizing web search and documentation reading functions to analyze the target API and identify available fields and structure.

API discovery for data pipelines explicitly supports TikTok Marketing and YouTube Data APIs, identifying their endpoints, auth methods, and pagination patterns to seed downstream data models without generating any write operations.

You generate a structured API investigation report for downstream data models by collecting metadata such as base_url, auth method, endpoints, available_fields, pagination, rate_limits, and freshness into a defined JSON format.

A key limitation of automating read-only API documentation for data engineering is that it strictly prohibits generating any write operations, focusing solely on extracting discovery metadata like endpoints and schemas to feed data models safely.