Douyin brand trends
omnial/douyin-brand-trends
Returns daily Douyin index series for one brand over a date range: for each row, a day-by-day spread index, content index and search index, with the category the row belongs to. The result also carries comparison rows from the same category, labelled as the supplier gives them.
Price
Up to $0.00205 per call; you pay what the call used
You pay the price shown. If a call turns out to cost more than its quote, you pay the actual price, capped at twice the quote. No monthly minimum. Top-ups start at $0.50.
Data source
Data from Douyin.
Use it
Your AI assistant does the work: it finds this tool, shows you the price first, runs it, and you are charged when the run finishes. There is nothing to set up for this tool in particular.
Connect once and your AI can find and run this tool, and any other it needs.
For developers: the calls your assistant makes
// 1. search: find the tool
omnial_search({ query: "what you need" })
// 2. inspect: price and input schema
omnial_inspect({ tool: "omnial/douyin-brand-trends" })
// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "omnial/douyin-brand-trends" })
// 4. run: price the exact call first, then run it
omnial_execute({ tool: "omnial/douyin-brand-trends", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "omnial/douyin-brand-trends", input: { /* ... */ } })
// 5. settle: the call is charged when it finishes, nothing to doNot connected yet? Point your MCP client at https://mcp.eden-engine.com/mcp, then copy a config for your client.
Pricing
Every charge this tool can incur.
| Charge | Price |
|---|---|
Per call | $0.00205 |
- Updated
- Nov 1, 2026
Input and output schemas
Input schema
{
"type": "object",
"required": [
"end_date",
"brand_name",
"start_date"
],
"properties": {
"app_name": {
"enum": [
"aweme"
],
"type": "string",
"default": "aweme",
"description": "The platform to query; Douyin ('aweme')."
},
"end_date": {
"type": "string",
"description": "Last day of the range, as YYYYMMDD."
},
"brand_name": {
"type": "string",
"description": "The brand to look up, as a name."
},
"start_date": {
"type": "string",
"description": "First day of the range, as YYYYMMDD."
}
},
"additionalProperties": false
}Output schema
{
"type": "object",
"properties": {
"BaseResp": {
"type": "object",
"properties": {
"StatusCode": {
"type": "number"
},
"StatusMessage": {
"type": "string"
}
}
},
"brand_list": {
"type": "array",
"items": {
"type": "object",
"properties": {
"brand_name": {
"type": "string"
},
"category_id": {
"type": "string"
},
"search_list": {
"type": "array",
"items": {
"type": "object",
"properties": {
"date": {
"type": "string"
},
"index": {
"type": "string"
}
}
}
},
"spread_list": {
"type": "array",
"items": {
"type": "object",
"properties": {
"date": {
"type": "string"
},
"index": {
"type": "string"
}
}
}
},
"content_list": {
"type": "array",
"items": {
"type": "object",
"properties": {
"date": {
"type": "string"
},
"index": {
"type": "string"
}
}
}
},
"category_name": {
"type": "string"
}
}
}
}
},
"description": "Response of the lookup, as returned after shaping."
}