| What it does | Stock screener and research platform for value investors who pick their own stocks
| Volatility data and research tools powered by a market-maker-grade fitting and pricing engine
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| Stage | Not given
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| Founded | Not given
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| Based in | US
| US
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| Pricing model | Freemium
| Freemium
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| Pricing | Curious is free. Serious plan $29/month or $299/year. Professional plan $99/month or $999/year. Home Market Packs for markets outside the US: one market $15/month or $149/year; all regions $499/month or $4,999/year. New accounts start with 30 days of Professional free, no card required, with a 30-da
| 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
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| Key features | - Company research with figures compared against peers and historical filing data
- Portfolio tracking showing holdings as one business with size, risk, income and shared exposure
- Thesis writing and nightly re-testing of guardrails against filed accounts
- Weekly brief summarizing which guardrails passed and failed across all holdings
- Excel add-in to pull filed figures directly into spreadsheets with source citations
- Access to 54 markets outside the US with Home Market Packs
- Ranked investor discipline tests including Graham, Buffett, Greenblatt and Piotroski methodologies
| - 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
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| What makes it different | - All figures sourced to their origin: filed statements with formulas and filing dates, or market data with its date
- Nightly re-testing of your investment thesis against new filings, with alerts only when guardrails break
- No investment advice, buy/sell recommendations, or fair value targets; you make all decisions
- Focuses exclusively on long-term investors who research companies; explicitly excludes traders and model-portfolio followers
| - 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
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 18 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 7 | 0 |
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| Citation Flow (Majestic) | 29 | 0 |
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| Referring domains (Majestic) | 99 | 0 |
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ValueScreener
OptionSpace