Octagon: MCP For Investment Research

Created By
MCP-Mirrora year ago
Mirror of
Overview

What is Octagon?

Octagon is a Model Context Protocol (MCP) server that integrates with the Octagon API to provide advanced investment research capabilities for both public and private markets.

How to use Octagon?

To use Octagon, sign up for a free account at Octagon, generate an API key, and configure it in your environment. You can run it using npx or install it manually via npm.

Key features of Octagon?

  • Specialized AI agents for investment research
  • SEC filings analysis and data extraction
  • Earnings call transcript analysis
  • Financial metrics and ratios analysis
  • Access to stock market data
  • Private company research and web scraping capabilities
  • Comprehensive research tools for funding rounds, M&A, and IPO transactions
  • Real-time streaming support

Use cases of Octagon?

  1. Analyzing SEC filings for investment insights.
  2. Researching private companies and their funding history.
  3. Extracting financial metrics for public companies.
  4. Performing comprehensive market intelligence research.

FAQ from Octagon?

  • How do I get an API key?

Sign up at Octagon, log in, and generate an API key in the settings.

  • Is there a cost to use Octagon?

Octagon offers a free account for users.

  • What types of data can I access?

You can access data from SEC filings, earnings calls, financial metrics, and more.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
MCP-Mirror
Star
0
Language
JavaScript
License
MIT license

Recommend Servers

View All
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

13 hours ago
Shippo
@Shippo

21 hours ago