Market Size Estimation: a Tokeny case study

Prepare the inputs

Create a separate workspace in Tokeny, download and unpack the sample inputs, then select a model that supports tools. The sample uses synthetic data or the public sources named in the article.

• assumptions.json

The original task was executed in Chinese. Copying these instructions reproduces the same task; the results below include an English report.

用给定假设计算 TAM/SAM/SOM 和敏感性分析，给出公式、适用范围与需要后续采集的数据，输出 Excel。

交付文件：market.xlsx、market-sizing.md。
验收要点：
- TAM 36000000，SAM 7200000，SOM 180000 元/年
- 假设和事实清楚区分
这是使用合成演示输入或指定公开资料的真实操作案例。请先读取工作空间输入，再实际生成文件并自检。所有写入、脚本与临时服务限于当前工作空间；临时服务只监听 127.0.0.1，执行后关闭；不触达外部收件人、不发布、不付款、不更改系统设置，不调用子智能体。需要公开资料时可读取给定 URL。只启用完成任务必需的工具。另写 report.md（中文）和 report.en.md（英文），简洁、完整，包含输入、处理步骤、真实结果、检查方式和局限；失败或未验证部分如实记录，不能宣称成功。最终回复用中文列出产物、关键结果与待核实项。
排版检查：Word 主标题仅出现一次，标题为黑色且与后续正文或表格保持同页；Excel 表头和长文字不能被窄列截断，合理设置列宽、换行、行高；HTML 在 390px 视口不能整页横向溢出。报告没有固定字数要求，不要为字数反复改写。

The recorded run used an isolated demonstration workspace. Review the commands and file paths before approving operations in your own workspace.

What actually ran

The task was submitted through the Tokeny input box. An online model read the inputs and executed tools. This run covers the local sample task and its actual files. Results and checks are recorded below.

Results and verification