01
Screening
“ROE > 15%, D/E < 1, P/E < 20, revenue growth > 10%”
Four filters across three financial statements, resolved in seconds.
A query engine for fundamental + quantitative research
Ask the question. Get the answer.
Screens, charts, and comparisons across 8,000+ stocks and 20+ years of fundamentals — resolved in seconds. Three free questions, no signup.
8,000+
US stocks covered
20+ yrs
historical depth
< 10s
typical query latency
IThe Gap
Your AI reasons brilliantly. It just doesn't have the data.
Claude, ChatGPT, and Gemini can run complex analysis across screens, simulations, and comparable-company work. The reasoning is extraordinary.
mrmarket.ai is where the data comes from. A query engine that resolves hard financial questions in seconds, so your work and your AI build on real numbers.
What an answer looks like
Your query
“Compare Apple, Microsoft, and Google revenue over the last 5 years.”
Resolved in seconds. Chart auto-selected from the data shape, table rendered alongside, all sourced from quarterly filings.
7.4s · 3 stocks · 20 quarters
Revenue · annual · USD bnchart · table
AAPLMSFTGOOGL
| Symbol | FY2021 | FY2022 | FY2023 | FY2024 | FY2025 |
|---|---|---|---|---|---|
| AAPL | 365 | 394 | 383 | 391 | 416 |
| MSFT | 168 | 198 | 212 | 245 | 281 |
| GOOGL | 258 | 283 | 307 | 350 | 387 |
IIUse it directly
Ask in English. Get charts, screens, and shareable answers.
Skip the spreadsheet, skip the terminal. Type the question, get the answer back as a chart, a table, or a saved screen you can return to or share.
01 · plain-english
Plain-English queries
Multi-factor screens, trend detection, cross-entity joins. No SQL, no Bloomberg syntax.
02 · on-demand
On-demand visualization
Every answer comes back as a chart picked for the data shape: line, bar, sparkline, or table.
03 · saved
Saved screens
Build a screen once, re-run it any time, watch it evolve as the market does.
04 · shareable
Shareable & exportable
Send a link to a colleague, drop the data into a CSV, embed a chart.
IIIExamples
Queries that break everything else.
02
Pattern
“Insider purchases where the stock dropped 20% within 3 months”
Insider filings cross-referenced against forward price action.
03
Trend
“Stocks with 4 consecutive quarters of growing free cash flow”
Sequential trend detection across thousands of filings.
04
Edge
“Companies that beat EPS estimates 4 quarters running, still below the 200-day moving average”
Earnings momentum joined to technical positioning.
IV
For power users
Plug it into Claude, ChatGPT, or Gemini.
When the question needs code — Monte Carlo simulations, multi-factor backtests, custom DCF models — your AI does the reasoning and mrmarket.ai feeds it clean data over MCP. Two minutes to set up.
How it works
Claude
ChatGPT
GeminiMCP Server
mrmarket.ai
Parallel tool calls
Fundamentals
income, balance, cash flow
Prices
OHLC, returns, signals
Earnings
reported, estimates, calls
Filings
Form 4, 8-K, ownership
Your AI fans out parallel queries to mrmarket.ai. Multiple tool calls retrieve the underlying figures. The AI synthesizes the answer.
Ask anything
“Run a Monte Carlo on 10,000 random 10-stock portfolios from the S&P 500. Hold 5 years. Show the median return and 95th-percentile drawdown.”
“Compute a correlation matrix on sector-level returns, aggregated monthly for the past 5 years.”
“Backtest buying the dip on mega-caps that fall at least 5% post-earnings, hold for 3 months. What is my P&L?”
Two-minute setup
Claude Code · one command
claude mcp add --transport http mrmarket https://mcp.mrmarket.ai/mcp
Claude Desktop · ChatGPT · Gemini — paste this URL
https://mcp.mrmarket.ai/mcp
VBuilt For
A tool for those who do the work.
Profile 01
Financial writers
Stop chasing screenshots. Generate the chart that proves the thesis.
e.g. “Which S&P 500 companies grew FCF every year of the last decade?”
Profile 02
Researchers & analysts
Run the screen, save the screen, share the screen. Iterate fast.
e.g. “Top 20 quality compounders by 5-yr ROIC stability and margin trend.”
Profile 03
Swing traders & investors
Pattern-match price action against fundamentals before the next print.
e.g. “Stocks reporting next week with positive insider buys in the last 90 days.”
VIData provenance
Institutional-grade data, distributed through Nasdaq.
Daily prices, fundamentals, analyst estimates, insider filings, and corporate actions — sourced from a publisher on the Nasdaq Data Link marketplace, with point-in-time accuracy. We surface the data; you query it.