使用场景

Reddit 评论数据：
用于客户研究与异议挖掘

Q: 什么算一条？

主帖和每条评论各算一条，你用 max_results 限制总数。

以 JSON 获取 Reddit 帖子及评论，含正文、得分、作者、日期和回复层级，了解客户怎么说话，以及是什么让他们不下单。

预付费，无订阅REST 或 MCP一个密钥搞定模型、数据和智能体

最好的客户研究很少出现在问卷里，而是藏在那些帖子的评论区：人们在这里对比产品、抱怨价格，或者解释自己为什么换了别家。读一个有 800 条评论的帖子很慢，手动复制又会丢掉谁在回复谁。Lovely Router 返回整个帖子。发送帖子链接，每个帖子或评论返回一个 JSON 对象，按条数从预付费余额中计费。

交给你的 AI 智能体

把这段提示词复制到 Claude Code、Cursor、Codex 或任何编程智能体中。它会告诉智能体文档在哪里，以及如何使用你的 API 密钥。

Reddit 评论数据：用于客户研究与异议挖掘. Use the Lovely Router data tools: each returns JSON and is billed per result.

- Docs (read first): https://lovelyrouter.com/docs/tools/find.md and https://lovelyrouter.com/docs/tools/run.md
- Plan first: POST https://lovelyrouter.com/v1/tools/suggest with `{"task": "<my task in plain words>"}` (free). It returns the tools to run in order, each with an example `input`, the `input_required` fields, an estimated cost and a ready-made `run` request. Replace the example values with my task's; if a field is unclear, read the tool with GET https://lovelyrouter.com/v1/tools/<id>. To browse instead, POST https://lovelyrouter.com/v1/tools/discover searches the catalog.
- Show me the plan and its estimated cost (`total_est_cost_usd`) before running anything large.
- Run: POST https://lovelyrouter.com/v1/tools/<id>/run with `{"input": {...}, "max_results": N}`. A 200 has the finished run with `items`; a 202 means it is still running, so poll the `poll` path until `status` is `succeeded`, `failed`, `timed_out` or `stopped`.
- Only delivered results are billed. Keep max_results small on the first run, check the output, then scale up.
- If you support MCP, connect https://lovelyrouter.com/mcp instead (Streamable HTTP, same key; https://lovelyrouter.com/docs/tools/mcp.md) and use suggest_tools, get_tool and run_tool.
- Auth: read my API key from the LOVELY_API_KEY environment variable and send it as `Authorization: Bearer $LOVELY_API_KEY`. Never print or commit the key. If it is not set, ask me to create one at https://lovelyrouter.com/app/keys.
- Billing is prepaid: every call is charged to my balance, so test with a small request before running anything large.
- Every docs page is plain Markdown; the full index is https://lovelyrouter.com/llms.txt.

My task: <the inputs (links, keywords or accounts) and how many results you need>

工作原理

找到相关帖子
自己在 Reddit 上搜索，或用搜索工具查找，然后保留重要帖子的链接：对比、抱怨、推荐。
设置上限后运行工具
把链接连同 max_results 发送到 POST /v1/tools/reddit-comments/run。运行会从你的余额中预留它的最高费用，并以 JSON 返回帖子和评论。
分析用语
按得分和层级对评论分组，再让模型提炼出反复出现的异议、人们使用的措辞，以及他们提到的替代品。

一次请求获取一个帖子的评论

Reddit 评论获取在 urls 中接受帖子链接，并用 maxCommentsPerPost 限制每个帖子的评论数量：

Shell

curl https://lovelyrouter.com/v1/tools/reddit-comments/run \
  -H "Authorization: Bearer $LOVELY_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "input": {
        "urls": [
          "https://www.reddit.com/r/nycrail/comments/1x0x0hw/i_made_a_free_browser_train_sim_of_the_nyc_subway/"
        ],
        "maxCommentsPerPost": 100
      },
    "max_results": 100
  }'