Skip to contentTikTok Shop data,
TikTok Shop data,
every way you workTikTok Shop数据， 融入你的每种工作方式
The data behind FastMoss — 300M+ creators, 500M+ products, 1,200+ days of history across 19+ markets — exposed as REST APIs for your systems and MCP for your AI agents.FastMoss 背后的数据资产——3 亿+ 达人、5 亿+ 商品、覆盖 19+ 国家的 1200+ 天历史数据——以两种形态开放：系统用 API、AI Agent 用 MCP。
300M+creators tracked收录达人
500M+products monitored监控商品
1,200+days of history天历史数据
19+markets, daily refresh国家，每日更新
🔔medicube just signed 12 new affiliate creators this week.你关注的竞品 medicube 本周新增 12 个带货达人。Reach out →立即联系 →
$4.2M
Week GMV
▲18%
71K
Orders
▲9%
12.4K
Customers
▲6%
882
Products
▲1.2%
7-day GMV trend近 7 天 GMV
Channel mix渠道占比
● Organic自然 40%
● Paid付费 38%
● Live直播 22%
Top products · 7-day GMV热销榜 · 近 7 天 GMV
| 1 | medicube PDRN Balm | $1.72M | +6438% |
| 2 | Glass Glow Set | $875K | +922% |
| 3 | Dr.Melaxin Boost | $666K | +4421% |
Flip to see the data behind it翻面看背后的数据
fm_pipeline.py· build_dashboard.tsx · schema.sql
# raw FastMoss data → your own warehouse
import fastmoss, pandas as pd, asyncio, os
client = fastmoss.Client(key=os.environ["FM_KEY"])
async def pull_top(cat=14, region="US", wk=25):
rows = await client.product_rank_top_selling(
category=cat, region=region, week=wk, sort="gmv")
df = pd.DataFrame(rows).assign(
wow=lambda d: d.gmv / d.gmv_prev - 1)
return df.query("wow > 1.0").head(200)
creators = await client.creator_search(shop="medicube",
region="US", joined_after="2026-06-15")
if len(creators) > 10: notify("new affiliates", creators)
import fastmoss, pandas as pd, asyncio, os
client = fastmoss.Client(key=os.environ["FM_KEY"])
async def pull_top(cat=14, region="US", wk=25):
rows = await client.product_rank_top_selling(
category=cat, region=region, week=wk, sort="gmv")
df = pd.DataFrame(rows).assign(
wow=lambda d: d.gmv / d.gmv_prev - 1)
return df.query("wow > 1.0").head(200)
creators = await client.creator_search(shop="medicube",
region="US", joined_after="2026-06-15")
if len(creators) > 10: notify("new affiliates", creators)
$ python fm_pipeline.py → 200 OK · 1,204 rows · 0.8s
Flip back to your dashboard翻回你的看板
One platform, two interfaces一个平台，两种接口
Same data. Your workflow.同一份数据，长在你的工作流里
Spend it through whichever door fits the job.按任务选择最合适的那扇门。
MCP
TikTok Shop data inside Claude, ChatGPT, Cursor. Ask in plain language — zero code.TikTok 电商数据进入 Claude、ChatGPT、Cursor。自然语言提问，零代码。
Explore MCP了解 MCP
REST API
45+ endpoints for pipelines, BI and SaaS. Stable schemas, predictable metering.45+ 接口，服务数据管道、BI 与 SaaS。Schema 稳定，计量可预期。
GET /creator/v1/search?region=US
200 · 20 creators · 84ms
Explore API了解 API200 · 20 creators · 84ms
Pick your door选择入口