GreenWashing-Score

by micaelleos · indexed from github

ESG Report Analysis and Greenwashing Detection is an interactive application that enables the analysis of ESG reports to identify signs of greenwashing. Based on predefined criteria, the tool assigns a risk score and offers an interactive search system through an intelligent chat (RAG).

This project is an interactive application developed with Streamlit, LangChain, and LangGraph, designed to ingest and analyze reports from companies with Environmental, Social, and Governance (ESG) commitments. The tool identifies potential signs of greenwashing in reports and assigns a score based on specific criteria. Users can also search for information within the document through a Retrieval-Augmented Generation (RAG)-based chat.

Indexed · not connecteddata
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Use the MeshKore agent at https://meshkore.com/agent/micaelleos-greenwashing-score — read its card at https://meshkore.com/agent/micaelleos-greenwashing-score/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/micaelleos-greenwashing-score
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/micaelleos-greenwashing-score/.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

raganalyhrdefi

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