A community-driven registry for the Claude Code ecosystem. Not affiliated with Anthropic.
Are you the author? Sign in to claim
Financial narrative intelligence for AI agents — real-time narrative tracking, sentiment, and insights for US equities v
Give your AI agent a financial narrative brain.
AletaIndex tracks how financial stories evolve across thousands of news sources in real time — clustering articles into structured narratives, measuring sentiment momentum, and mapping narrative risk across portfolios. Available for 109 tickers across all major sectors.
Instead of raw news feeds or simple sentiment scores, your agent gets narrative-level intelligence: what the market is talking about, how strongly, and whether it's shifting.

💡 For best results, paste this at the start of your conversation:
You have access to the Aleta Index MCP, which provides narrative intelligence
derived from institutional news sources.
When analyzing stocks, prioritize the narrative layer: global narratives,
daily topics, sentiment scores, mention counts, sentiment trends, and
behavioral patterns. The narrative layer aggregates signal across hundreds
of sources and contains sufficient information for analysis — avoid reading
individual article bodies unless specifically necessary.
You: "What narratives are driving NVDA right now? Any sentiment shifts?"
Agent: NVDA is currently dominated by two narratives:
1. "AI Infrastructure Supercycle" — 47 articles, sentiment +0.68, trending up
2. "Export Control Headwinds" — 23 articles, sentiment -0.41, stable
Sentiment on "Export Control Headwinds" has improved +0.12 over the past week,
suggesting the market is pricing in less risk from the latest policy signals.
No prompt engineering required. The agent knows how to query the data automatically.
One-line config via uvx. Works with Claude Code, Claude Desktop, Cursor, Windsurf, and any MCP-compatible agent.
→ MCP Quickstart
One click on Smithery or Glama. Works with Claude, Cursor, Windsurf, and any MCP-compatible agent — no local setup required. → Add on Smithery · Add on Glama
Direct HTTP calls. Works with any language or framework. → API Reference
| Tier | Tickers | History | Credits | Price |
|---|---|---|---|---|
| Free Trial | 10 tickers | 90 days | 500 (one-time) | Free, 7 days |
| Plus | All 109 tickers | 180 days | 2,500/month | $99/mo |
| Scale | All 109 tickers | Full history | Custom | Custom — contact us |
Free tickers: TSLA NVDA AAPL MSFT AMZN GOOGL META AMD NFLX JPM
import requests
from datetime import date, timedelta
API_KEY = "nk_your_key_here"
BASE_URL = "https://aletaindex-narrative.com"
to_date = date.today()
from_date = to_date - timedelta(days=6) # 7-day window (inclusive)
resp = requests.get(
f"{BASE_URL}/v1/narratives/comprehensive",
headers={"X-API-Key": API_KEY},
params={
"tickers": "NVDA",
"from_date": from_date.isoformat(),
"to_date": to_date.isoformat(),
},
)
data = resp.json()
for narrative in data["results"][0]["global_narratives"]:
sentiment = narrative["sentiment"]
print(narrative["title"], "-", sentiment["sentiment_label"], f"({sentiment['avg_sentiment']:.2f})")
Example response (truncated):
{
"results": [
{
"ticker": "NVDA",
"global_narratives": [
{
"narrative_id": 142,
"title": "AI Infrastructure Supercycle",
"dominance_score": 0.847,
"is_active": true,
"daily_topics": [
{
"event_date": "2026-05-10",
"article_count": 14,
"sentiment": {
"avg_sentiment": 0.71,
"sentiment_label": "Positive",
"trajectory": "Escalating"
}
}
]
},
{
"narrative_id": 89,
"title": "Export Control Headwinds",
"dominance_score": 0.312,
"is_active": true,
"daily_topics": [
{
"event_date": "2026-05-10",
"article_count": 6,
"sentiment": {
"avg_sentiment": -0.38,
"sentiment_label": "Negative",
"trajectory": "Stable"
}
}
]
}
]
}
]
}
Run Claude Code as an MCP server so any agent can delegate coding tasks to it
Browser automation using accessibility snapshots instead of screenshots
MCP server integration for DaVinci Resolve Studio
Secure MCP server for MySQL database interaction, queries, and schema management