Douyin Audience Portrait (by Keyword and Date Range)
omnial/douyin-index-fetch-portrait
Given a keyword and a date range (plus an optional platform -- Douyin by default, or Toutiao), returns the audience crowd portrait for that term: age, gender, province/city and city-tier distribution, and interest categories with sub-category breakdowns, each bucket carrying its share of the audience and an index against the platform baseline.
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 $5.00.
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-index-fetch-portrait" })
// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "omnial/douyin-index-fetch-portrait" })
// 4. run: price the exact call first, then run it
omnial_execute({ tool: "omnial/douyin-index-fetch-portrait", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "omnial/douyin-index-fetch-portrait", 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
- Oct 27, 2026
Input and output schemas
Input schema
{
"type": "object",
"required": [
"end_date",
"keyword",
"start_date"
],
"properties": {
"keyword": {
"type": "string",
"description": "Keyword"
},
"app_name": {
"enum": [
"aweme",
"toutiao"
],
"type": "string",
"default": "aweme",
"description": "平台/Platform: aweme(抖音), toutiao(头条)"
},
"end_date": {
"type": "string",
"description": "End date YYYYMMDD"
},
"start_date": {
"type": "string",
"description": "Start date YYYYMMDD"
}
},
"additionalProperties": false
}Output schema
{
"type": "object",
"properties": {
"data": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name_en": {
"type": "string",
"description": "The dimension's English key (e.g. age, gender, province, city, province_city, yuntu_city_level, or an interest-category key)."
},
"name_zh": {
"type": "string",
"description": "The dimension's Chinese label (e.g. 年龄/age, 性别/gender)."
},
"label_list": {
"type": "array",
"items": {
"type": "object",
"properties": {
"tgi": {
"type": "number",
"description": "The bucket's index against the platform baseline audience (100 = average; observed 0 alongside `value` 0 on negligible buckets)."
},
"value": {
"type": "number",
"description": "The bucket's share of the audience, 0-1 (observed 0 for negligible buckets such as 台湾 on the province dimension)."
},
"name_zh": {
"type": "string",
"description": "The bucket's Chinese label (e.g. 18-23, 男, 北京)."
},
"label_id": {
"type": [
"string",
"null"
],
"description": "An internal category id assigned by the source. Always `null` in this tool's output -- the value is withheld; only its presence as a field is observable."
},
"child_list": {
"type": "array",
"items": {
"type": "object",
"properties": {
"tgi": {
"type": "number",
"description": "The sub-bucket's index against the platform baseline audience."
},
"value": {
"type": "number",
"description": "The sub-bucket's share of the audience, 0-1 (observed 0 for negligible sub-buckets)."
},
"name_zh": {
"type": "string",
"description": "The sub-bucket's Chinese label (e.g. 时尚_穿搭)."
},
"label_id": {
"type": [
"string",
"null"
],
"description": "An internal sub-category id. Always `null` in this tool's output -- the value is withheld."
}
},
"additionalProperties": true
},
"description": "Only on the interest-category dimension of the Douyin (aweme) platform: nested sub-labels (e.g. 时尚_穿搭 under 时尚). Absent entirely on the Toutiao platform."
},
"parent_name": {
"type": "string",
"description": "Only on the province_city dimension: the province/region a city entry belongs to (e.g. 广东 for 深圳). Absent on every other dimension."
}
},
"additionalProperties": true
},
"description": "One entry per bucket within this dimension (an age range, a gender, a province, a city, a city tier, or an interest category)."
}
},
"additionalProperties": true
},
"description": "One entry per audience dimension -- the set varies by platform but always includes age, gender, province, city, city-tier, province_city and an interest category dimension."
},
"BaseResp": {
"type": "object",
"properties": {
"StatusCode": {
"type": "number",
"description": "0 on success; a nonzero value would indicate a source-side error."
},
"StatusMessage": {
"type": "string",
"description": "Empty on success; carries error text when StatusCode is nonzero."
}
},
"description": "The request's status envelope.",
"additionalProperties": true
}
},
"description": "One Douyin (or Toutiao) audience portrait: a `data` array of audience dimensions plus a `BaseResp` request-status envelope.",
"additionalProperties": true
}