New Structured Data API Provides Subscription Pricing for LLM Agents
What This Is
A developer has built a structured data API that provides normalized subscription pricing data specifically designed for LLM agents and retrieval systems. The API addresses the problem that LLMs are decent at reasoning but terrible at up-to-date subscription pricing, and scraping is brittle with constantly changing HTML and inconsistent schemas across services.
Key Details
The API normalizes subscription pricing across multiple categories:
- Streaming platforms
- Ride-share services
- Dating apps
- Other subscription-based platforms
The API exposes several key features:
- Consistent schema across providers
- Structured JSON responses
- Region-aware pricing where available
- MCP-compatible endpoints so LLMs can consume it cleanly
The goal isn't a consumer app — it's to provide a clean data layer that agents and tools can query without scraping. The developer has shared documentation at https://api.aristocles.com.au/docs for inspecting the schema and experimenting.
The developer is seeking feedback from the community on:
- Schema improvements
- Missing fields
- Better ways to expose this for agent tooling
- Whether this is useful for workflows
Who It's For
This is designed for developers building LLM agents or retrieval systems that need structured real-world pricing data without the maintenance burden of web scraping.
📖 Read the full source: r/LocalLLaMA
👀 See Also
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