中国 AI 合规与备案（条文级自查）
生成式AI备案、AI生成内容标识、深度合成、算法备案：条文级问答 + 按条号取法规原文 + 应办清单（中文）
Listing completeness · 75/100
Presence of published information only. Not a security, reliability or performance score. Same rules for Datoka and external listings.
- Name and traceable source
- 10/10 · Present
- Meaningful description
- 10/10 · Present
- Connection or installation reference
- 20/20 · Present
- Dedicated documentation or source repository
- 15/15 · Present
- Explicit free access or numeric tariff
- 0/20 · Missing or insufficient
- Declared integration protocol
- 10/10 · Present
- Source updated within 90 days
- 10/10 · Present
- Declared capability names
- 0/5 · Missing or insufficient
Evaluated 2026-10-07 · Method listing-completeness-1. Scoring rules
Connect & use
Connect through the publisher’s supported interface. Any credentials or payments are handled by the provider.
MCP endpoint
https://savantcat.cn/mcp-complianceCategories and declared capabilities
Topic categories are derived from publisher text for discovery, not independently verified capabilities.
The registry does not provide a verified tools list. See the observations, when available, for any tools/list check; a published tools list does not establish that execution succeeds.
Evidence, with its limits.
This listing is indexed. Any domain claim or endpoint observation appears separately with its date and limited scope. No payment execution, factual accuracy or safety certification is inferred.