Plan a workflow with the HtAG Use Case Builder
Describe your idea, compare endpoint chains and generate a HtAG starter pack. Learn how to review the plan and test a small request before building.
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Category: Tutorials
Follow practical tutorials for HtAG’s Australian property APIs, Claude MCP connections and H3 spatial analytics. Start with setup, code and research examples.
Use the HtAG API Playground: test a request and take the code with you
Choose an endpoint, set bounded parameters, inspect the response and copy code from the HtAG Playground. Start with a small locality lookup.
Read articleManage HtAG API and MCP costs: plan, limit and refresh your data
Plan HtAG costs before calling the API or MCP tools. Learn billing units, bounded requests, worked examples, caching, refresh strategies and AI cost controls.
Read articleHtAG core concepts: places, address keys and data context
Understand reference lookups, address keys, geographic levels, property selections, reporting dates and reusable data snapshots before building with HtAG.
Read articleSet up the HtAG API and make your first request
Create an HtAG API key, configure authentication and verify one small request using your terminal, PowerShell or Postman.
Read articleConnect the three HtAG MCP servers to your AI assistant
Connect HtAG Docs, Intelligence and Spatial with clear server URLs, authentication steps, configuration and connection checks.
Read articleConnect Claude Desktop to HtAG via MCP
See how Claude Desktop can turn a property question into a traceable HtAG workflow using a verified Richmond house-market snapshot.
Read articleH3 Spatial Analytics: Build Property Heatmaps with HtAG
Explore five Richmond H3 cells on a street basemap, with verified median weekly house rents from $874 to $945 in a snapshot captured 10 September 2026.
Read articleGetting Started with the HtAG API
Follow a first HtAG API request from Richmond locality lookup to a dated house-market card with typical price, weekly rent and gross yield.
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