TikHub微信搜索 · 微信综合搜索（搜一搜）
/wechat_search_v2_fetch_search微信综合搜索（搜一搜）。按原始筛选条件读取社交媒体数据，并显式使用分页参数。
- 最近 7 天完成的调用
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统计不包含取消的调用。执行时间仅统计成功调用。
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通过你的 Agent 使用
请安装 https://www.agentrouter.to/SKILL.md，然后通过 AgentRouter 使用 TikHub 的 /wechat_search_v2_fetch_search 接口。
输入参数
keyword必填- 搜索关键词（1-100 字）
business_type选填- 垂类字符串键（共 18 个）。**实测有结果**：综合 `all` / 公众号·服务号·视频号 account / 文章 article / 视频 video / 表情 sticker。其余键（underline / encyclopedia / live_stream / comment / listen / news / photos / book / moments / image / mini_game / weixin_index / ai_search）由微信服务端按账号与地区下发，当前实测恒返回空结果（count=0 + no_more 文案，仍按一次正常调用计费）。当前账号真正可用的 tab 以综合搜索响应里的 `categories` 为准；传列表外的值直接报错（422）
sort选填- 排序（结果页「排序」下拉，综合与各垂类通用）：不限(相关性) default/0 / 最新(发布时间降序) latest/1 / 最热(点赞降序) hot/2，字符串键或整数均可
publish_time选填- 发布时间（结果页「时间」下拉，通用）：不限 all/0 / 最近一天 day/1 / 最近七天 week/2 / 最近半年 half_year/3，字符串键或整数均可
offset选填- 首页传 0；翻页请用 cursor（只传 offset 无效，每页都回到第一页）
cursor选填- 翻页游标：首页留空；翻页时把上一页响应返回的 cursor 原样传回
raw选填- True=原始搜索响应；False=精简解析结构
输入示例
{
"keyword": "人民日报"
}输出
原生社交数据和分页信息。超出安全整数范围的 ID 以字符串返回。请显式使用返回的游标继续读取；每一页都是一次新请求。