Crypto Social Intel

Crypto social intelligence skill for AI agents. Activate when user mentions social trends, sentiment analysis, KOL signals, mention surge, Fear & Greed Index, 社交热度, 情绪分析, 恐惧贪婪指数, 热词爆发, KOL提及, 舆情监控, which tokens are trending on social media, is sentiment bullish or bearish, unusual social activity around a token, crypto social alpha, what's the Fear and Greed Index today.

Social intelligence layer for crypto tokens. Powered by Santiment GraphQL API + alternative.me Fear & Greed Index.

5 Tools:

• crypto-social-trending — Top tokens by social volume
• crypto-sentiment-score — Sentiment score for a specific token
• crypto-kol-signals — Social dominance anomaly (KOL proxy, v1.0: social dominance as proxy, not real Twitter KOL data)
• crypto-mention-surge — Detect abnormal mention spikes
• crypto-fear-greed — Fear & Greed Index (real-time, free)

MCP Endpoint

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https://mcp-skills.ai.antalpha.com/mcp

Environment switching: For local dev/test, replace with http://localhost:3000/mcp.

Protocol: MCP Streamable HTTP (JSON-RPC over HTTP with mcp-session-id header).

Connection Flow

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1. POST /mcp → initialize (get mcp-session-id from response header)
2. POST /mcp → tools/call  (with mcp-session-id header)

Data Sources

Tool	Source	Real-time	API Key
crypto-social-trending	Santiment	⚠️ Free tier: ~35-day lag	Required
crypto-sentiment-score	Santiment	⚠️ Free tier: ~35-day lag	Required
crypto-kol-signals	Santiment	⚠️ Free tier: ~35-day lag	Required
crypto-mention-surge	Santiment	⚠️ Free tier: ~35-day lag	Required
crypto-fear-greed	alternative.me	✅ Real-time	None

Note: Santiment free tier has ~35-day data lag. For real-time social data, upgrade to Santiment Basic ($49/mo) and update SANTIMENT_API_KEY on the server — no code changes needed.

MCP Tools (5)

crypto-social-trending

Get top crypto tokens ranked by social volume.

Parameters:

• limit (optional): 1-50, default 10
• time_range (optional): "24h" | "7d", default "7d"

Response example:

json

{
  "items": [
    {
      "rank": 1,
      "slug": "bitcoin",
      "symbol": "BTC",
      "social_volume": 2413,
      "sentiment_score": 57,
      "signal_level": "LOW",
      "trend_change": "N/A",
      "data_source": "santiment"
    }
  ],
  "meta": { "data_source": "santiment", "note": "Free tier: ~35-day lag" }
}

---

crypto-sentiment-score

Get sentiment score and trend for a specific token.

Parameters:

• symbol (required): Token symbol or slug, e.g. "BTC", "ETH", "bitcoin"
• time_range (optional): "7d" | "30d", default "7d"

Response example:

json

{
  "symbol": "BTC",
  "sentiment_score": 57,
  "social_volume": 19301,
  "trend_direction": "down",
  "change_vs_prev": "-17.4%",
  "signal_level": "LOW",
  "data_source": "santiment"
}

---

crypto-kol-signals

Detect social dominance anomalies as KOL activity proxy.

v1.0 uses social_dominance_total as KOL proxy. Real Twitter KOL data planned for v2.0.

Parameters:

• symbol (required): Token symbol or slug
• time_range (optional): "7d" | "30d", default "7d"
• threshold (optional): Surge multiplier threshold, 1-10, default 1.5

Response example:

json

{
  "symbol": "BTC",
  "social_dominance": 1.16,
  "dominance_change": -33,
  "surge_ratio": 0.67,
  "sentiment_direction": "bullish",
  "signal_level": "LOW",
  "note": "Social dominance anomaly used as KOL proxy. Real KOL data (Twitter API) planned for v2.0."
}

---

crypto-mention-surge

Detect tokens with abnormal social mention spikes.

Parameters:

• threshold (optional): Surge ratio vs historical avg, default 2.0
• time_window (optional): "7d" | "30d", default "7d"
• limit (optional): 1-50, default 10

Response example:

json

{
  "items": [
    {
      "rank": 1,
      "symbol": "SOL",
      "current_volume": 1200,
      "historical_avg": 400,
      "surge_ratio": 3.0,
      "sentiment_direction": "bullish",
      "signal_level": "HIGH"
    }
  ],
  "total_found": 1
}

---

crypto-fear-greed

Get the Crypto Fear & Greed Index. Real-time, no API key required.

Parameters:

• days (optional): History days to return, 1-30, default 7

Response example:

json

{
  "current": {
    "value": 23,
    "classification": "Extreme Fear",
    "date": "2026-04-15"
  },
  "trend": "improving",
  "signal_level": "MEDIUM",
  "market_note": "市场偏恐慌，情绪面有支撑，注意底部信号。",
  "history": [...],
  "data_source": "alternative.me"
}

Contrarian signal logic:

• Extreme Fear (≤20) → 🔴 HIGH (historical buy opportunity)
• Fear (21-40) → 🟡 MEDIUM
• Neutral (41-60) → 🟢 LOW
• Greed (61-79) → 🟢 LOW
• Extreme Greed (≥80) → 🔴 HIGH (caution, potential top)

Signal Levels

Level	Condition	Badge
HIGH	sentiment>70 + surge>3x, OR Extreme Fear/Greed	🔴
MEDIUM	sentiment≥50 + surge≥2x, OR Fear	🟡
LOW	otherwise	🟢

Note: crypto-kol-signals signal_level is based on dominance_change (independent of the sentiment+surge rule above). Extreme dominance change (>50% or <-50%) → HIGH; moderate change → MEDIUM; otherwise LOW.

Workflow

Check Market Sentiment (most common)

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1. crypto-fear-greed { days: 7 }           ← overall market mood
2. crypto-social-trending { limit: 10 }    ← what's hot
3. Present combined view to user

Analyze Specific Token

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1. crypto-sentiment-score { symbol: "ETH" }
2. crypto-kol-signals { symbol: "ETH", threshold: 1.5 }
3. Combine: sentiment score + dominance signal → final assessment

Early Warning Scan

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1. crypto-mention-surge { threshold: 2.0, limit: 10 }
2. For tokens with HIGH/MEDIUM signals → crypto-sentiment-score to confirm
3. Alert user to tokens with multiple converging signals

Combined with Smart Money

When social signal + on-chain signal converge:

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1. crypto-mention-surge detects abnormal spike
2. → Call smart-money-signal to check if whales are buying
3. Two signals converging → stronger conviction

Message Template

When presenting social intel to user:

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📊 市场情绪总览
恐惧贪婪指数: 23 — Extreme Fear 🔴
趋势: improving ↗
注记: 历史上极度恐慌区间往往是逆向机会，但需结合链上数据确认。

🔥 社交热榜 Top 5
#1 BTC  vol=2413  sentiment=57  🟢 LOW
#2 ETH  vol=491   sentiment=52  🟢 LOW
#3 SOL  vol=386   sentiment=52  🟢 LOW

Mention surge alert:

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🚨 社交提及暴增预警
SOL: 当前3000 vs 均值400 → 7.5x ↑ 🔴 HIGH (bullish)
建议: 关注链上是否有聪明钱跟进

Agent Behavior Rules

On "市场情绪怎么样" / "market sentiment"

1. Call crypto-fear-greed first (real-time, fast)
2. Optionally call crypto-social-trending for top tokens
3. Present combined view
4. When Santiment data is involved, always append: ⚠️ 社交数据来自 Santiment 免费层，存在约 35 天延迟，仅供参考。

On "BTC情绪" / "SOL sentiment" / specific token

1. Call crypto-sentiment-score { symbol }
2. If signal_level is HIGH or MEDIUM, also call crypto-kol-signals
3. Present score + trend + signal
4. Always append disclaimer: ⚠️ 数据来自 Santiment 免费层，存在约 35 天延迟，仅供参考，勿作实时决策依据。
5. For kol-signals output, always note: 注：v1.0 KOL 信号以社交主导度代理，非真实 Twitter KOL 数据，v2.0 将接入 Twitter API。

On "哪些币在暴涨社交" / "mention surge" / "异常热度"

1. Call crypto-mention-surge { threshold: 2.0 }
2. For HIGH signal items, offer to do deeper analysis
3. Always append disclaimer: ⚠️ 数据来自 Santiment 免费层，存在约 35 天延迟，仅供参考。

On "恐惧贪婪" / "fear greed" / "市场贪婪指数"

1. Directly call crypto-fear-greed
2. Present value, classification, trend, market note

Supported Token Slugs

Common symbol → slug mapping (Santiment):

Symbol	Slug
BTC	bitcoin
ETH	ethereum
SOL	solana
BNB	binance-coin
XRP	ripple
DOGE	dogecoin
ADA	cardano
AVAX	avalanche
DOT	polkadot
LINK	chainlink
UNI	uniswap
ARB	arbitrum
OP	optimism
SUI	sui

For unlisted tokens, pass the full Santiment slug directly (e.g. "pepe", "floki").

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