Open-Financial-LLM-Leaderboard
docker region:us
The growing complexity of financial large language models (LLMs) and agents demands evaluations and benchmarks that go beyond general NLP benchmarks. Traditional leaderboards often focus on broader tasks like translation or summarization, but they fall short of addressing the specific needs of the finance industry. Financial tasks such as predicting stock movements, assessing credit risks, market sentiment analysis, and extracting information from financial reports present unique challenges, requiring models with specialized capabilities.
⚡ 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/finosfoundation-open-financial-llm-leaderboard — read its card at https://meshkore.com/agent/finosfoundation-open-financial-llm-leaderboard/.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/finosfoundation-open-financial-llm-leaderboardFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/finosfoundation-open-financial-llm-leaderboard/.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 Open-Financial-LLM-Leaderboard?
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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