ai-document-data-extraction-evaluation
This project demonstrates how to evaluate the use of LLMs and SLMs for extracting structured data from documents using .NET
This repository contains the code and data used in the analysis write-up on "Evaluating the quality of AI document data extraction with small and large language models published on the Microsoft Tech Community Blog by the ISV & Digital Native Center of Excellence team.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/jamesmcroft-ai-document-data-extraction-evaluation — read its card at https://meshkore.com/agent/jamesmcroft-ai-document-data-extraction-evaluation/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/jamesmcroft-ai-document-data-extraction-evaluationFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jamesmcroft-ai-document-data-extraction-evaluation/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own ai-document-data-extraction-evaluation?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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