SuperAPI AI Directory

aletaindex-fin-narratives

Track how financial news narratives evolve across tickers: news clustering, sentiment momentum and narrative risk mapping across portfolios.

Open website

About this tool

AletaIndex Financial Narrative Intelligence API is a financial narrative intelligence tool for AI agents, developed by AletaIndex and open-sourced on GitHub. Its core idea is to give AI agents a "financial narrative brain," rather than just receiving raw news feeds or simple sentiment scores.

Purpose

The tool is used to track how financial stories evolve in real time across thousands of news sources, cluster related articles into structured narratives, measure sentiment momentum, and map narrative risk to portfolios. It targets the U.S. stock market, covering 109 stocks across all major industries. Agents can use it to understand what the market is currently talking about, how intense the discussion is, and whether the narrative is shifting.

Main Capabilities

  • Real-time narrative tracking: track the evolution of financial stories across thousands of news sources.
  • News clustering: cluster articles into structured narratives.
  • Sentiment momentum: measure the changing trend of narrative sentiment.
  • Narrative risk mapping: map narrative risk to the portfolio level.
  • Coverage: 109 U.S. stocks across all major industries.

How to Use

The tool offers three integration methods:

Method A — Install the MCP server via PyPI (local installation, recommended) One-line configuration via uvx. Suitable for Claude Code, Claude Desktop, Cursor, Windsurf, and any MCP-compatible agent. See the MCP Quickstart documentation.

Method B — MCP directory (zero installation) One-click add on Smithery or Glama. Suitable for Claude, Cursor, Windsurf, and any MCP-compatible agent, with no local setup required.

Method C — REST API Make HTTP calls directly. Suitable for any language or framework. See the API Reference documentation.

Free stock tickers include: TSLA, NVDA, AAPL, MSFT, AMZN, GOOGL, META, AMD, NFLX, JPM. Users can obtain an API key through official channels.

The project repository also provides documentation such as API Reference (endpoints, parameters, response schemas), Data Model (narrative hierarchy explanation), MCP Quickstart (complete agent integration in two minutes), Direct API Guide (REST integrationguide), and Example Prompts (prompt templates for trading agents).

Use Cases

  • Trading agents obtain narrative-level financial intelligence.
  • Embed financial narratives and sentiment analysis into AI workflows.
  • Monitor narrative risk across portfolios.
  • Connect to various AI agents and applications via MCP or REST API.

Limitations

The materials do not provide information on pricing, rate limits, data update frequency, the specific number of supported news sources, complete details of API response fields, or the full list of 109 stocks; this content is not currently provided.