
From discovered data to useful UI
Map reviewed API fields to website cards, detail pages, honest empty states, update policies, and a deployment boundary that matches the product.
Read the guide : Website Builder API Crawler7 min read🧭 TOPICS
Evidence, specifications, and useful endpoint records.
API discovery is the starting point for several different jobs: planning an integration, giving an IDE better context, extracting a structured record, or designing a page from real fields. This topic brings those jobs together without pretending they have the same output.
Look for the recurring distinction between a published contract, a runtime observation, and an application decision. Keeping those evidence types separate makes it easier to review a catalog and explain where a claim came from. A sample response should not silently become a guarantee.
Choose a guide below based on the decision you need to make. The catalog documentation is a practical companion: it shows a small record with explicit uncertainty and an execution boundary. For a complete introduction, start with API foundations, then return here to explore how reviewed discovery supports the rest of the workflow.

Map reviewed API fields to website cards, detail pages, honest empty states, update policies, and a deployment boundary that matches the product.
Read the guide : Website Builder API Crawler7 min read
Create reusable API extraction prompts with explicit record contracts, evidence references, unknown values, small examples, and meaningful review checks.
Read the guide : Prompts API Crawler6 min read
Build an evidence-led API catalog from approved specifications. Preserve versions, uncertainty, and the boundary between discovery and runtime testing.
Read the guide : AI API Crawler6 min read
Build a reviewed endpoint knowledge pack for AI IDE workflows, with evidence records, clear permissions, small context files, and practical evaluation cases.
Read the guide : AI IDE API Crawler6 min read