Description

Analyze investment materials such as stock theses, earnings reports, analyst notes, and company updates. The app helps users break down investment assumptions, identify risks and red flags, and extract key positive, negative, and neutral signals from earnings materials. It is designed to make financial research more structured, faster, and easier to review.

Website Preview

Screenshot of AlphaStocks website

App Screenshots

Capabilities

No special capabilities listed

AI Agent Discovery

AlphaStocks is indexed by Tedix as a structured finance listing for AI assistants, search crawlers, and users comparing agent-ready apps.

  • AlphaStocks is categorized as Finance.
  • Developer: Pyxl.
  • Connector type: AI-Powered App.
  • Current connector status: Connected.
  • Observed distribution channels: chatgpt.
  • Available regions: US, FR, GB, ES, KR, IN.

Use this page to understand whether AlphaStocks is relevant for finance workflows in AI assistants.

For MCP discovery, this listing helps crawlers connect AlphaStocks to tool, resource, prompt, and server-health signals instead of treating it as a generic directory entry.

The canonical Tedix directory URL is https://tedix.dev/apps/alphastocks/.

Crawlable Profile

Source and availability

Tedix identifies AlphaStocks from Upstream Mcp tool source; Store sources: ChatGPT app store; Distribution: Ecosystem Directory. Availability is reported for US, FR, GB, ES, KR, IN.

Auth, tools, and actions

Authentication: Requires Login. No special capability flags are currently listed. Current MCP inventory reports 10 tools, 1 resources, and 0 prompts.

  • Get Stock Analyses · Read-only action

    INTERNAL: Only the client widget calls this. GPT must never call. List saved stock analyses.

  • Get Stock Analysis · Read-only action

    INTERNAL: Only the client widget calls this. GPT must never call. Get an analysis by id.

  • Get Stock News Sentiment · Read-only action

    MAIN: GPT calls this. Use this when the user wants recent news sentiment and headlines for a ticker in the finance widget.

  • Get Stock Overview · Read-only action

    MAIN: GPT calls this. Use this when the user wants a compact snapshot (price, move, profile fields) in the finance widget.

  • Get Stock Quote · Read-only action

    MAIN: GPT calls this. Use this when the user wants only the latest price and change percent as plain text in the chat. Does not open the finance widget. Do not use for charts—use show_stock_chart or show_stock_chart_with_analysis.

  • Get Stock Risk Snapshot · Read-only action

    MAIN: GPT calls this. Use this when the user wants a short risk-style summary for a ticker in the widget. Informational only—not investment advice.

  • Get User Info · Read-only action

    INTERNAL: Only the client widget calls this. GPT must never call. User info for the widget.

  • Run Stock Analysis · App action

    MAIN: GPT calls this. Analyze investment materials (investment thesis, earnings reports, analyst notes) and provide structured analysis based on the selected mode. **INSTRUCTIONS:** You must analyze the provided content based on the selected mode: 1. **thesis mode**: Break down investment thesis into assumptions, identify weak/unverifiable claims, assess argument strength, find logical gaps 2. **risk_flags mode**: Identify risks, red flags, missing metrics, vague statements, unsupported claims 3. **earnings_signals mode**: Extract positive/negative/neutral signals from earnings calls or reports, assess management tone, identify key changes **IMPORTANT:** - You MUST call this tool with complete structured JSON data - DO NOT write analysis results in chat messages - Analyze thoroughly based on the selected mode - Provide complete structured results for the selected mode - Always include a summary_result with exactly 3 key themes and executive summary - Calculate signal balance and risk distribution for summary - All scores must be numbers between 0-100 **CRITICAL: You MUST use this tool to provide analysis. DO NOT write the analysis in chat - always call this tool with structured JSON data.**

Plus 2 additional actions in the full tool inventory.

Verification freshness

  • Catalog synced 10h ago (June 6, 2026)
  • Connector checked May 30, 2026
  • MCP scanned May 30, 2026
  • Website enriched May 29, 2026
  • Directory updated 10h ago (June 6, 2026)

Alternatives and related apps

Comparable apps in Finance include AIS Insurance, Affirm, Aiera, Airwallex Developer.

Publisher Intelligence

Insights and recommendations for app publishers. See how your app performs and how to improve discoverability.

Server Status pyxl-finance-mcp v1.0.0

10
Tools
1
Resources
0
Prompts
https://www.pyxl.pro/api/finance/mcp

Last checked: May 30, 2026

Technical Details
Connection Latency 618ms
30-Day Uptime 100.0%

Tools(10)

Showing 10 of 10 tools

Sorted by toolName
ToolDescriptionFlagsTestLast Tested
get_stock_analyses
INTERNAL: Only the client widget calls this. GPT must never call. List saved stock analyses.
read-only
100%Latency 261ms
May 29, 2026
get_stock_analysis
INTERNAL: Only the client widget calls this. GPT must never call. Get an analysis by id.
read-only
100%Latency 106ms
May 29, 2026
get_stock_news_sentiment
MAIN: GPT calls this. Use this when the user wants recent news sentiment and headlines for a ticker in the finance widget.
read-only
100%Latency 219ms
May 29, 2026
get_stock_overview
MAIN: GPT calls this. Use this when the user wants a compact snapshot (price, move, profile fields) in the finance widget.
read-only
100%Latency 105ms
May 29, 2026
get_stock_quote
MAIN: GPT calls this. Use this when the user wants only the latest price and change percent as plain text in the chat. Does not open the finance widget. Do not use for charts—use show_stock_chart or show_stock_chart_with_analysis.
read-only
100%Latency 165ms
May 29, 2026
get_stock_risk_snapshot
MAIN: GPT calls this. Use this when the user wants a short risk-style summary for a ticker in the widget. Informational only—not investment advice.
read-only
100%Latency 223ms
May 29, 2026
get_user_info
INTERNAL: Only the client widget calls this. GPT must never call. User info for the widget.
read-only
100%Latency 119ms
May 29, 2026
run_stock_analysis
MAIN: GPT calls this. Analyze investment materials (investment thesis, earnings reports, analyst notes) and provide structured analysis based on the selected mode. **INSTRUCTIONS:** You must analyze the provided content based on the selected mode: 1. **thesis mode**: Break down investment thesis into assumptions, identify weak/unverifiable claims, assess argument strength, find logical gaps 2. **risk_flags mode**: Identify risks, red flags, missing metrics, vague statements, unsupported claims 3. **earnings_signals mode**: Extract positive/negative/neutral signals from earnings calls or reports, assess management tone, identify key changes **IMPORTANT:** - You MUST call this tool with complete structured JSON data - DO NOT write analysis results in chat messages - Analyze thoroughly based on the selected mode - Provide complete structured results for the selected mode - Always include a summary_result with exactly 3 key themes and executive summary - Calculate signal balance and risk distribution for summary - All scores must be numbers between 0-100 **CRITICAL: You MUST use this tool to provide analysis. DO NOT write the analysis in chat - always call this tool with structured JSON data.**
100%Latency 120ms
May 29, 2026
show_stock_chart
MAIN: GPT calls this. Use this when the user wants a candlestick chart for a US stock ticker. Pass period_days as the full span in days (e.g. 1 day = 1, week = 7, month = 30, quarter = 90, year = 365). Opens the finance widget with market data. For price-only text without a widget, use get_stock_quote.
read-only
100%Latency 134ms
May 29, 2026
show_stock_chart_with_analysis
MAIN: GPT calls this. Use this when the user wants the same candlestick chart plus a short technical summary (e.g. RSI, moving averages) in the finance widget. Pass period_days like show_stock_chart. Does not save a research note to the library—use run_stock_analysis for persisted thesis work.
read-only
100%Latency 135ms
May 29, 2026

Discoverability Score

65

Fair

65 of 100 — how easily AI agents find your app

  • Description quality
    20/20
  • Example prompts
    0/20
  • Keyword coverage
    0/15
  • Tool metadata
    20/20
  • Visual assets
    13/20
  • Endpoint health
    10/10
  • Data freshness
    15/15

How to Improve

Add at least 2 example prompts. Prompt examples strongly improve app matching and click-through intent.

Increase keyword coverage (discovery + trigger) to improve retrieval for long-tail queries.

Add at least 2 screenshots that show real workflows to increase confidence and conversion.

Read the full discoverability guide →

Technical Details

Status
ENABLED
Type
AI-Powered App
Auth
Requires Login
Listed on
ChatGPT
Added
May 26, 2026
Last synced
10h ago
Last checked
May 30, 2026
Version
1.0.0
Distribution
Ecosystem Directory

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