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Douyin Video Index Trend (by Video ID & Date Window)

omnial/douyin-index-fetch-item-index

Given a Douyin video ID and a date window (YYYYMMDD start and end), returns that video's daily index trend -- a per-day activity score for every date in the window -- plus the window's average index value.

activeper callv2

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

Douyin

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.

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For developers: the calls your assistant makes
agent
// 1. search: find the tool
omnial_search({ query: "what you need" })

// 2. inspect: price and input schema
omnial_inspect({ tool: "omnial/douyin-index-fetch-item-index" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "omnial/douyin-index-fetch-item-index" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "omnial/douyin-index-fetch-item-index", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "omnial/douyin-index-fetch-item-index", input: { /* ... */ } })

// 5. settle: the call is charged when it finishes, nothing to do

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Pricing

Every charge this tool can incur.

ChargePrice
Per call
$0.00205
Updated
Oct 27, 2026

Input and output schemas

Input schema
input_schema.json
{
  "type": "object",
  "required": [
    "end_date",
    "item_id",
    "start_date"
  ],
  "properties": {
    "item_id": {
      "type": "string",
      "description": "Video ID (Douyin aweme id, numeric). Example: 7660090930283744575"
    },
    "end_date": {
      "type": "string",
      "description": "End date YYYYMMDD"
    },
    "start_date": {
      "type": "string",
      "description": "Start date YYYYMMDD"
    }
  },
  "additionalProperties": false
}
Output schema
output_schema.json
{
  "type": "object",
  "properties": {
    "avg": {
      "type": "string",
      "description": "The average index value across the requested date window, as a numeric string (e.g. \"152\" on a live window, \"0\" on a pre-publication one)."
    },
    "trend": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "value": {
            "type": "string",
            "description": "The video's index/activity score for that date, as a numeric string (e.g. \"2008\", \"0\"). Zero on dates outside the video's active window."
          },
          "datetime": {
            "type": "string",
            "description": "The date, YYYYMMDD."
          }
        },
        "additionalProperties": true
      },
      "description": "One entry per date in the requested window, inclusive of start and end. Length equals the number of calendar days in the window (62 entries for a 20260701-20260831 call, 59 for a 20260101-20260228 call)."
    }
  },
  "description": "The video's index trend record. It carries an `avg` period average and a `trend` array with one entry per date in the requested window.",
  "additionalProperties": true
}