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Integratie / Analytics & Data

Octagon MCP integratie

Octagon MCP lets agents access authorized public- and private-market intelligence, SEC filings, earnings transcripts, financial metrics, stock data, deep research, and prediction-market analysis.

Over Octagon MCP

Octagon MCP is a market intelligence service providing SEC filings, earnings transcripts, and private- and public-market data. Use it for deep financial research, stock metrics, and prediction-market analysis.

Alle integraties
Categorie
Analytics & Data, Developer Tools & DevOps, AI & Machine Learning
Verbinding
OAuth
Type
Tool
Acties
4
Tags
library

Voorbeeldprompts

Wat je Growf kunt vragen te doen met Octagon MCP

  • Summarize latest SEC filings for Tesla
  • Extract revenue trends from earnings transcripts
  • List top prediction market moves for AAPL

Beschikbare acties

4 acties die je agents kunnen uitvoeren in Octagon MCP

  • Octagon-agent

    Orchestrates all agents for comprehensive market intelligence analysis. Capabilities: Combines insights from SEC filings, earnings calls, financial metrics, stock data, institutional holdings, private company research, funding analysis, M&A transactions, investor intelligence, debt analysis, and ne…

  • Octagon-deep-research-agent

    A comprehensive agent that can utilize multiple sources for deep research analysis. Capabilities: Aggregate research across multiple data sources, synthesize information, and provide comprehensive investment research. Best for: Investment research questions requiring up-to-date aggregated informati…

  • Octagon-prediction-markets-agent

    A specialized agent for creating research reports on Kalshi events (Polymarket coming soon). See what's driving prices, compare market vs model probabilities, and find potential mispricings. Note: It's recommended to attempt to retrieve a cached report first as new reports may take several minutes …

  • Prediction markets history

    Fetch historical data for a prediction market event by ticker. Supports pagination (limit, cursor) and time window (captured_from, captured_to) and optionally include analysis columns. Note: For a typical Kalshi Market URL, the event ticker is the final segment in the URL. For example, for the URL …

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