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Verosight Monitor

该 Skill 通过 Verosight 外部 API 提供社交媒体情报与网络监测能力:可完成情感分析、热度趋势检测、影响力账号识别与机器人嫌疑识别,覆盖 X、Instagram、TikTok、YouTube、Threads 及新闻门户等平台,并附带鉴权脚本、命令行查询脚本与 PDF 报告生成指南。

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热度 52.55
最近更新 2026-07-23 01:47:12
分类:营销依赖:第三方 API / 代码执行 / 读写文件应用场景:社交媒体 / 市场分析 / 报告撰写 / 研究

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add verosight-monitor
Metadata
name
verosight-monitor
description
Integrate Verosight API for social media intelligence and cyber monitoring. Sentiment analysis, trend detection, influencer identification, and bot detection across X (Twitter), Instagram, TikTok, YouTube, Threads, and news portals. Use when: user asks for sentiment analysis, social media monitoring, trend analysis, influencer tracking, bot detection, or mentions 'Verosight', 'social listening', 'cyber monitoring', 'digital reputation'. Covers auth setup, querying posts, analytics (sentiment/trending/volume), profile search, and report generation.

Verosight Monitor — Social Media Intelligence Skill

Integrate Verosight API for real-time social media monitoring and digital reputation management across major platforms.

Quick Setup

1. Get API Key

Sign up at verosight.com and generate an API key from the API Keys dashboard. Keys start with vlt_live_ (production) or vlt_test_ (test).

2. Authenticate

Exchange your API key for a JWT token (valid 24 hours):

JWT=$(curl -s -X POST "https://api.verosight.com/v1/auth/token" \
  -H "X-API-Key: vlt_live_YOUR_KEY" | jq -r '.token')

Or use the bundled auth script:

./scripts/verosight-auth.sh vlt_live_YOUR_KEY

3. Query Data

# Sentiment analysis
curl -s "https://api.verosight.com/v1/analytics/sentiment?query=KEYWORD&sources=x,instagram&days=7" \
  -H "Authorization: Bearer $JWT"

# Search posts
curl -s "https://api.verosight.com/v1/posts?query=KEYWORD&sources=x,instagram&limit=10" \
  -H "Authorization: Bearer $JWT"

API Endpoints

Posts

GET /v1/posts

Search posts across platforms with filters.

Parameter Type Description
query string Search keyword
sources string Comma-separated: x,instagram,tiktok,youtube,threads,news_portal
limit int Results per page (default: 10, max: 50)
days int Lookback period (1-90)
sentiment string Filter: positive, negative, neutral
GET /v1/posts/:id

Get a single post by ID.

GET /v1/posts/:id/comments

Get comments for a post.

Analytics

GET /v1/analytics/sentiment

Sentiment analysis for a keyword. Returns positive/negative/neutral breakdown, weighted percentages, and sample posts.

Parameter Type Description
query string Search keyword
sources string Comma-separated platforms
days int Lookback period
limit int Number of sample posts to return
GET /v1/analytics/volume

Post/comment volume over time (daily breakdown).

GET /v1/analytics/trending

Trending posts and profiles for a keyword.

Profiles

GET /v1/profiles?query=ACCOUNT&source=instagram

Search for social media profiles.

GET /v1/profiles/:source/:account

Get profile details (auto-crawls if missing).

GET /v1/profiles/:source/:account/stats

Engagement stats for a profile.

Search

POST /v1/search

Semantic search across all content.

Body:

{
  "query": "keyword",
  "sources": ["x", "instagram"],
  "days": 7
}

Account

GET /v1/account/balance

Check credit balance (0 cost).

GET /v1/account/usage

Usage history and statistics (0 cost).

Response Format

All responses follow a standard envelope:

{
  "data": { ... },
  "meta": {
    "request_id": "uuid",
    "credits_used": 2,
    "credits_remaining": 998
  },
  "pagination": {
    "next_cursor": "base64...",
    "has_more": true,
    "total": 38113
  }
}

Workflows

Sentiment Analysis Report

  1. Authenticate → get JWT
  2. Query /v1/analytics/sentiment → get positive/negative/neutral breakdown
  3. Query /v1/posts with sentiment=negative → identify vocal accounts
  4. Query /v1/analytics/volume → trend over time
  5. Compile report: overview → trend → narratives → insights → recommendations

For detailed workflow, see references/sentiment-workflow.md.

Influencer Identification

  1. Query posts about target topic with high engagement
  2. Sort by likes, shares, views
  3. Cross-reference with sentiment (positive vs negative influencers)
  4. Profile top accounts for follower count and verification status

Bot Detection

  1. Query posts about target topic across platforms
  2. Look for patterns:
    • Multiple posts from same account in short timeframe
    • Identical or near-identical content across accounts
    • Coordinated posting timing
    • New accounts with abnormally high activity
  3. Flag suspicious accounts for manual review

PDF Report Generation

Generate professional reports with tables, charts, and formatted layouts using pdfkit (Node.js).

See references/pdf-template.md for complete guide.

Supported Platforms

Platform Coverage
X (Twitter) Posts, replies, engagement metrics
Instagram Posts, captions, engagement
TikTok Videos, descriptions
YouTube Videos, comments
Threads Posts, replies
Facebook Posts, pages
LinkedIn Posts, articles
News Portals Articles from Indonesian media

Credit System

Each successful API call (2xx response) costs credits. Failed calls (4xx/5xx) do not deduct credits.

Tier Rate Limit Starting Credits
Standard 60 req/min 1,000
Pro 300 req/min 10,000
Enterprise Custom Custom

Check balance:

curl -s "https://api.verosight.com/v1/account/balance" \
  -H "Authorization: Bearer $JWT"

Known Limitations

  • News portal results dominate volume (~70%); social platforms contribute less
  • Semantic search returns broadly relevant results; source/date filters are limited
  • Instagram direct scraping often blocked; use Verosight API for Instagram data
  • Profile metadata (followers, account age) may not be available for all accounts

Bundled Resources

File Purpose
references/sentiment-workflow.md Step-by-step sentiment analysis workflow with report template
references/pdf-template.md PDF generation guide with pdfkit (tables, charts, layout)
scripts/verosight-auth.sh Auth helper — exchange API key for JWT
scripts/quick-sentiment.sh Quick sentiment check from command line

Links