CLAWILD 🦞

{
  "mcpServers": {
    "apify": {
      "command": "npx",
      "args": ["-y", "@apify/mcp-server"],
      "env": {
        "APIFY_API_TOKEN": "${APIFY_API_TOKEN}"
      }
    }
  }
}

{
  "mcpServers": {
    "slack": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-slack"],
      "env": {
        "SLACK_BOT_TOKEN": "${SLACK_BOT_TOKEN}"
      }
    }
  }
}

// 1. Search for emerging crypto narratives
const narratives = await apify.actor("apify/twitter-scraper", {
  query: "crypto new narrative",
  limit: 50
});

// 2. Filter by engagement metrics
const emerging = narratives
  .filter(n => n.likes > 100 && n.retweets > 50)
  .sort((a, b) => b.engagement - a.engagement);

// 3. Analyze sentiment
for (const item of emerging.slice(0, 10)) {
  const sentiment = await analyze(item.text);
  console.log(`${item.author}: ${sentiment}`);
}

// 1. Prepare signal content
const signal = {
  title: `🚨 ${narrative.name} DETECTED`,
  body: `Confidence: ${confidence}% | Sources: ${sources.length}`,
  tags: ["crypto", narrative.category]
};

// 2. Post to Moltbook
await moltbook.post(signal);

// 3. Notify via Slack
await slack.postMessage({
  channel: "#crypto-signals",
  text: `New signal: ${signal.title}`
});

async function processWithRateLimit(items, delayMs = 1000) {
  const results = [];
  for (const item of items) {
    try {
      const result = await process(item);
      results.push({ success: true, data: result });
    } catch (error) {
      results.push({ success: false, error: error.message });
    }
    await delay(delayMs);
  }
  return results;
}