抖音巨量算数品牌指数趋势 API

curl -G "https://api.dataxapi.com/v1/douyin/index/brands/history" \
  --data-urlencode "brand=泡泡玛特" \
  --data-urlencode "since=2026-09-01T00:00:00Z" \
  --data-urlencode "until=2026-09-30T00:00:00Z" \
  -H "Authorization: Bearer $DATAXAPI_API_KEY"

{
  "code": "ok",
  "request_id": "5c4f8386-6175-4b89-8343-d268358f330b",
  "data": {
    "item": {
      "brand": "泡泡玛特",
      "category": "母婴",
      "points": [
        {
          "date": "2026-09-01T00:00:00Z",
          "search_index": 121864,
          "content_index": 41224,
          "spread_index": 75601
        },
        {
          "date": "2026-09-02T00:00:00Z",
          "search_index": 122413,
          "content_index": 46057,
          "spread_index": 77637
        },
        {
          "date": "2026-09-03T00:00:00Z",
          "search_index": 122213,
          "content_index": 45504,
          "spread_index": 77642
        },
        {
          "date": "2026-09-04T00:00:00Z",
          "search_index": 122205,
          "content_index": 54042,
          "spread_index": 78337
        },
        {
          "date": "2026-09-05T00:00:00Z",
          "search_index": 124682,
          "content_index": 42229,
          "spread_index": 77377
        },
        {
          "date": "2026-09-06T00:00:00Z",
          "search_index": 124155,
          "content_index": 42738,
          "spread_index": 76569
        },
        {
          "date": "2026-09-07T00:00:00Z",
          "search_index": 121751,
          "content_index": 41525,
          "spread_index": 76108
        },
        // … 另有 23 条
      ]
    }
  },
  "warnings": [],
  "meta": {
    "capability": "douyin.index.brands.history",
    "result_status": "complete",
    "fetched_at": "2026-10-12T21:56:40.000Z",
    "cached": false,
    "replayed": false,
    "unavailable": {},
    "billing": {
      "amount": "0.002",
      "currency": "USD",
      "balance_after": "9.998"
    }
  }
}

取自 2026-10-12 21:56 UTC 录下的真实返回。名字、正文和编号是示例，链接也是，都不是录到的原文（页面不展示任何人的个人信息）；数字是原样。长列表做了截断。请求号、游标和余额是示意。

返回大小：标准档 3.2 KB（精简 3.2 KB，完整 3.2 KB）。

curl -G "https://api.dataxapi.com/v1/douyin/index/brands/history" \
  --data-urlencode "brand=泡泡玛特" \
  --data-urlencode "since=2026-09-01T00:00:00Z" \
  --data-urlencode "until=2026-09-30T00:00:00Z" \
  -H "Authorization: Bearer $DATAXAPI_API_KEY"

from dataxapi import DataXAPI

dx = DataXAPI()  # reads DATAXAPI_API_KEY
result = dx.douyin.index.brands.history(brand="泡泡玛特", since="2026-09-01T00:00:00Z", until="2026-09-30T00:00:00Z")
print(result["data"]["item"])

import { DataXAPI } from "@dataxapi/sdk";

const dx = new DataXAPI(); // reads DATAXAPI_API_KEY
const result = await dx.douyin.index.brands.history({ brand: "泡泡玛特", since: "2026-09-01T00:00:00Z", until: "2026-09-30T00:00:00Z" });
console.log(result.data.item);

dataxapi call douyin.index.brands.history 'brand=泡泡玛特' since=2026-09-01T00:00:00Z until=2026-09-30T00:00:00Z

{
  "mcpServers": {
    "dataxapi": {
      "type": "http",
      "url": "https://api.dataxapi.com/mcp",
      "headers": {
        "Authorization": "Bearer ${DATAXAPI_API_KEY}"
      }
    }
  }
}

把这段加进你的 MCP 客户端，然后让你的 AI 调用 douyin.index.brands.history。