Agent-Commerce-Core Normalization Engine

Example Use Cases

• 1

  Convert unstructured web content into high-fidelity structured data.

• 2

  That require semantic extraction and normalization of public utility and civic web data.

• 3

  RAG-ready outputs optimized for vector database ingestion and downstream automation.

Description

Agent-Commerce-Core serves as the normalization layer within the Agent-Commerce-OS infrastructure, performing semantic extraction and data normalization from complex web sources. It outputs data in LLM-native Markdown and JSON formats optimized for vector databases and RAG workflows. The engine ensures strict schema alignment using validated Pydantic models, enabling downstream automation and agentic tool use while adhering to strict data privacy standards.