LLM_QUANT_FACTORY
Auditable multi-agent A-share factor research, knowledge base, long-only backtesting, AutoCombine and QuantCombine.
自 2026-07-29 起，当前版本采用 PolyForm Noncommercial License 1.0.0 发布。个人研究、实验、学习以及协议列明的 非商业组织用途可以使用、修改和分发；任何商业用途均不在默认授权范围内，必须事先取得版权 人的单独书面许可。商业授权请联系 [email protected]。
⚡ 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/khakhasshi-llmquantfactory — read its card at https://meshkore.com/agent/khakhasshi-llmquantfactory/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/khakhasshi-llmquantfactoryFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/khakhasshi-llmquantfactory/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own LLM_QUANT_FACTORY?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.