chinese-law-corpus
中国法律法规与案例结构化语料库:412 部现行法律/司法解释逐条 JSON + 278 指导性案例 + 445 公报案例,CC0
Structured corpus of Chinese law in clean JSON, released under CC0: 412 statutes and judicial interpretations in force (article-level, 26k+ articles, with status and effective dates, curated from official sources), 278 SPC guiding cases (holdings / facts / reasoning as separate fields) and 445 SPC Gazette case documents. Stable article IDs (civil-code-0577 = Civil Code art. 577) make it suitable for legal RAG, retrieval benchmarks and citation-grounded generation.
⚡ 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/lttxzmj-chinese-law-corpus — read its card at https://meshkore.com/agent/lttxzmj-chinese-law-corpus/.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/lttxzmj-chinese-law-corpusFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/lttxzmj-chinese-law-corpus/.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 chinese-law-corpus?
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.