US Stock Sense vs OptionSpace

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

US Stock Sense compared with OptionSpace
Detail	US Stock Sense	OptionSpace
What it does	US stock screener and research workspace for self-directed investors	Volatility data and research tools powered by a market-maker-grade fitting and pricing engine
Stage	Not given	Not given
Founded	Not given	Not given
Based in	Not given	US
Pricing model	Freemium	Freemium
Pricing	Free plan includes one complete introductory AI Mode run with six one-time credits. Premium includes two hundred credits per calendar month. Final subscription prices and billing terms are shown before payment.	Free sample plan with no card required. Retail subscription available for individual personal use in the United States with daily limits on API credits. Institutional plans available at contact pricing for any business use with annual licenses invoiced monthly via ACH or wire. Higher-frequency data
Key features	Stock screening with customizable filters Inspect financial statements and company filings Valuation analysis with explicit assumptions AI-assisted analysis and research support Portfolio tools and saved workspaces Dated price history and market data Ownership records and fund holdings Alerts and export functionality Thesis workspace for documenting investment cases Stock Sense MCP connector integration	Fitted volatility surfaces with bid-ask-weighted curves across every expiration Accounts for American-style options with early exercise, discrete dividends, and implied borrow rates One-minute granularity historical data across 140+ symbols spanning 10 years Realized volatility calculations from 385 intraday returns per day Vol Screener, Vol Premium, Skew Scanner, and Earnings Vol analysis tools Historical simulation using actual bid-ask prices and fitted vol surfaces Python package for research workflows Interactive visual dashboards for surface inspection and event studies Model Context Protocol (MCP) integration for AI agent workflows Greeks and constant-maturity metrics via API and dashboards
What makes it different	Combines dated public filings with current market prices and transparent calculations in one workspace Emphasizes maintaining transparency about data freshness and source attribution Designed specifically to help test investment theses with evidence-based research Supports challenging investment assumptions with AI assistance checked against underlying sources Public company research is open and accessible without requiring an account	Arbitrage-free fitted volatility wings extending beyond quoted book using Lee-moment discipline Accessible to quantitative researchers and AI workflows through Python, API, and MCP without requiring market-maker infrastructure 10 years of consistent historical data at one-minute granularity across 140+ symbols for rigorous backtesting
Community votes	0	0
DR (Domain Rating by Ahrefs)	1 no change since last check	Not checked yet no change since last check
Trust Flow (Majestic)	0	0
Citation Flow (Majestic)	16	0
Referring domains (Majestic)	3	0

5 details filled in for both companies.

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