Cross-platform search

One search across 10 kinds of public sources: Weibo, Douyin, Toutiao, Xiaohongshu (RedNote), Kuaishou and other short-video apps, WeChat official accounts, news sites and newspapers, forums, Tieba and Q&A, Bilibili and other long-video sites, and news apps. Filter by date, platform, content type and sentiment, or match text in images, video frames and audio. Results come in one format, with the total hit count and the count per platform.

10 source typesplatforms: weibo, douyin, xiaohongshu, wechat …

Date rangesince / until, up to 90 days a query

Images and audiomatch: media_text, audio

MCPapi.qovia.ai/mcp

# One search, 10 source types
curl https://api.qovia.ai/v1/search \
  -H "Authorization: Bearer $QOVIA_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "EV range",
    "platforms": ["weibo", "xiaohongshu", "douyin"],
    "sentiment": ["negative"]
  }'

import os, requests

resp = requests.post(
    "https://api.qovia.ai/v1/search",
    headers={"Authorization": f"Bearer {os.environ['QOVIA_KEY']}"},
    json={"query": "EV range", "sentiment": ["negative"]},
)
for item in resp.json()["data"]["items"]:
    print(item["platform"], item["published_at"], item["text"])

// Add to any MCP client
{
  "mcpServers": {
    "qovia": {
      "url": "https://api.qovia.ai/mcp",
      "headers": { "Authorization": "Bearer sk-qovia-…" }
    }
  }
}

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Raw endpoints Datasets Bulk social data Custom data

Your agent only knows what you give it

Give it Douyin, Xiaohongshu (RedNote), WeChat and product reviews: structured, per call, nothing charged for failures.

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