AI Connectors · Finance

AlphaStocks

Structured breakdown of earnings and investment documents

Listed in ChatGPT

Overview

What AlphaStocks does

AlphaStocks reads investment material and takes it apart. Earnings reports, analyst notes, investment theses, and company updates are the document types named in the record.

The app examines the assumptions behind an investment case, points at risks and warning signs, and sorts what it finds in earnings material into positive, negative, and neutral signals. The stated aim is research that is quicker to structure and easier to review afterwards. The example prompt begins a stock analysis on a company the reader names, and the work happens on documents rather than on price data. Pyxl is the developer.

Who it is for

Individual investors and analysts working through earnings documents and investment memos.

What stands out

It separates earnings signals by direction instead of collapsing everything into one summary.

Availability

Where AlphaStocks is listed

AlphaStocks is listed in the ChatGPT apps directory only. Pyxl has no connector under the same domain in the Claude directory; 392 of the 3,150 products here are on both marketplaces, and this is not one of them.

ChatGPT apps are built on MCP, and the same server can back a Claude connector, so the absence is a distribution decision rather than a technical one.

ChatGPT listing

In the ChatGPT apps directory

Developer
Pyxl
Filed under
Finance
Listed since
June 2026
Authentication
Authenticates when installed
Website
pyxl.pro
Policies published
Privacy policy · Terms of service
Official listing
Open in ChatGPT
Snapshot
August 2026

Example prompts from the listing

  • Let’s do a stock analysis of my company

Same company

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This is an independent catalogue entry compiled by Node8 from AlphaStocks's public marketplace listing as it stood in August 2026. Listing facts come from the marketplaces; the comparisons against the rest of the directory and any live-endpoint measurements are Node8's. Node8 is not affiliated with Pyxl, and inclusion here is not an endorsement.

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